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Global Science and Engineering Frontier Risk and Resilience Report 2026: Baseline Edition, The State of the World’s Science and Engineering Frontier.

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ReportsGS-15

Global Sector Risk and Resilience

Global Science and Engineering Frontier 2026

Baseline Edition 2026NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINEGCRI for the Nexus Consortium

Imprint

Editor
Saeed Valadbaygi, Chief Steward and Managing Editor, the Global Centre for Risk and Innovation (GCRI)
Publisher of record
The Global Centre for Risk and Innovation (GCRI) for the Nexus Consortium, Toronto
Report number
NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE
Evidence close
30 September 2026, cut DC-SECTOR-SCIENCE-GLOBAL-2026-B0
Status
Draft under stewardship review; not yet released
DOI and UNI
Issued at deposit
Licence
CC BY 4.0 for Nexus-authored text, tables and figures; third-party material keeps its own licence
Cite as
Valadbaygi, S. (Ed.). (2026). Global Science and Engineering Frontier Risk and Resilience Report 2026: Baseline Edition, The State of the World’s Science and Engineering Frontier. (Baseline Edition 2026, Report No. NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE) [Draft under review]. The Global Centre for Risk and Innovation (GCRI). https://therisk.global/nexus-reports/editions/gs-15/

Contents

  1. ·

    Executive summary

  2. 1

    Chapter 1. Science is where the frontier is made

  3. 2

    Chapter 2. Key findings

  4. 3

    Chapter 3. Systems and sectors at baseline

  5. 4

    Chapter 4. Risks and capability

  6. 5

    Chapter 5. Loss of trust in the research record during a fast-moving emergency

  7. 6

    Chapter 6. Readings from the other desks

  8. 7

    Chapter 7. The 2027 agenda

  9. 8

    Chapter 8. Systems in depth

  10. A

    Annex A. Methodology

  11. B

    Annex B. Data appendix

  12. C

    Annex C. References and record

Executive summary

The edition on a few pages: the abstract, the key messages, the headline finding and what each steward reads in it.

6 min read1 figure0 tables13 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

S.1Abstract

The world enters 2027 with a science and engineering system that is larger, more automated and less evenly shared than at any earlier baseline. Worldwide research and development spending is estimated at USD 3.48 trillion in 2024 on a comparable basis, and China (30%) and the United States (29%) together account for more than half1. UNESCO data put the world at 1.92% of GDP in 2023 and 1,486 researchers per million people, with Sub-Saharan Africa at 88 and Northern America at 5,0062. Output keeps rising: 3.5 million scientific articles in 2024, 22% of them with international co-authors1, and 284,486 arXiv submissions in 20255. The record is under strain. Crossref registered 15,582 retraction notices in 2023 and 7,632 in 2025, and case studies show coordinated fraud growing faster than legitimate science614. AI is now part of research itself: 5.8% to 8.8% of scientific output by field, though the best agents reach about half of PhD experts on end-to-end research tasks9. Five exascale systems now appear on the TOP500 list4, and a 101-qubit surface-code memory has run below the error-correction threshold10. This baseline sets out what the evidence supports and where it is thin. It ranks no country and recommends no policy.

S.2Key messages

Six readings that frame the science and engineering baseline, and the eight questions this edition answers, each with its status and source.

  1. About USD 3.48 trillion in 2024; the share of GDP depends on the issuer.123

    How much does the world spend on research?Reported

  2. China and the United States together perform more than half of spending; researcher density differs widely across regions.12

    Who does the research?Reported

  3. Yes. 3.5 million articles in 2024 and 284,486 arXiv submissions in 2025.15

    Is the literature growing?Reported

  4. Retractions and paper-mill fraud are rising pressures; the share of the record affected is not known.614

    Can the record be trusted?Reported

  5. It is a growing part of output, but agents reach about half of expert scores on research tasks.9

    What is AI doing in science?Reported

  6. Five exascale systems exist on the TOP500 list; industry builds most notable models.48

    Who has frontier compute?Reported

  7. Large open archives exist for structures and species records.122223

    Is biology data open?Reported

  8. A loss of trust in the research record during an emergency. SCN-GS15-INT-01

    What will 2027 test first?Expert input

S.3Headline finding

ReportedEQL 5NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-DAT-003

In 2023, the world had 1,486 researchers per million people, with 88 in Sub-Saharan Africa and 5,006 in Northern America.

Figure S.1Researchers per million inhabitants (FTE), 2023
ItemBar, scaled to the largest valueValue
Northern America5,006
Europe4,025
Eastern Asia2,632
World1,486
Latin America and the Caribbean668
Southern Asia347
Sub-Saharan Africa88

Source: UNESCO Institute for Statistics, February 2026 data release2.

The distribution of people who can do research is far more uneven than the distribution of articles or spending. Least Developed Countries stand at 70 researchers per million and spend 0.28% of GDP on research, so knowledge made elsewhere is the main input to their decisions2. Women were 31.4% of researchers worldwide, with regional shares from 23.9% in Eastern Asia to 45.0% in Northern Africa2.

S.4At a glance

3.48USD trillion

global R&D, 20241

1,486per million

researchers, 20232

3.5million

articles, 20241

284,486submissions

arXiv, 20255

7,632notices

retraction notices, 20256

5systems

exascale, June 20264

S.5What each steward reads in it

GCRI · KEY T

Technical Truth

The evidence supports reading science and engineering as the discovery layer of the WEFH+B system.

GRF · KEY M

Public Meaning

For most people science arrives as a medicine, a forecast or a news story.

GRA · KEY F

Capital Meaning

Readiness implications only. R&D spending is large, venture investment was USD 354 billion in 2024 and public programmes are multi-year.

NEXUS

Synthesis

The research system is well measured at the level of spending, people and output and thinly measured at the level of replication, reuse and integrity.

S.6What this edition is, and is not

What this edition is

A baseline: the 2026 state of the world’s science and engineering enterprise and the couplings through which it carries risk into other systems. It synthesises published evidence and ranks no country, company or asset.

What it is not

Not a ranking of countries or institutions, a forecast of discoveries, a funding recommendation or an assessment of any university, laboratory, funder, publisher or government. Research policy, funding and conduct rest with national authorities, funders, institutions and researchers.

What comes next

National, regional and sector evidence feeds the 2027 science and engineering edition through the federation. Each edition reports what changed against this baseline: observations, source revisions, method changes, scenario updates and corrections.

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  2. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  3. 5POST-CLOSE, context only: arXiv (ed.), Monthly submissions statistics (monthly CSV, 1991 to November 2026; annual totals summed by the editors). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  4. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  5. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back
  6. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  7. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  8. 10Google Quantum AI and collaborators, Quantum error correction below the surface code threshold, arXiv 2408.13687 (full text opened) and Nature 638, 920 to 926, 2024. Observation year 2024. Accessed 2026-11-03.back
  9. 3DATA VINTAGE AFTER CLOSE: World Bank (ed.), World Development Indicators API (series updated 2026-10-08, after the 30 September evidence close; cited as the position at access): GB.XPD.RSDV.GD.ZS, SP.POP.SCIE.RD.P6, IP.JRN.ARTC.SC, IP.PAT.RESD, IP.PAT.NRES, world values. World Bank, Washington. Data pulled and read. Observation year 2023 (patents 2024, researchers 2020). Accessed 2026-11-03.back
  10. 8Stanford HAI (ed.), The 2026 AI Index Report, overview page with the ten top takeaways. Stanford Institute for Human-Centered AI, Stanford. Page read; the report PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  11. 12Varadi, M. et al., AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences, Nucleic Acids Research 52 (database issue), 368 to 375, 2024 (abstract read through Europe PMC). Oxford University Press, Oxford. Observation year 2024. Accessed 2026-11-03.back
  12. 22RCSB Protein Data Bank (ed.), Current holdings, list of entry identifiers (262,922 entries counted by the editors on the access date). Research Collaboratory for Structural Bioinformatics. Observation year 2026. Accessed 2026-11-03.back
  13. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03.back

Science is where the frontier is made

Part I describes systems and their couplings. It ranks no country or operator and assesses no authority.

7 min read2 figures2 tables17 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

1.1The questions this part answers

Key questions

  • Where is science and engineering risk concentrated?
  • Which couplings carry science and engineering shocks into other systems?
  • Which science and engineering capabilities hold under compound stress?
  • What must 2027 evidence measure first?

In this part

  • Narrative
  • Headline finding
  • Lead figure
  • Five coupling chapters
  • Twelve-domain reading
  • Sector screens
  • Dependency matrix
  • Risk objects
  • Capability ladder
  • Scenario
  • Three lenses
  • Portfolio

1.2The argument

Science is usually reported as a series of results. The 2026 evidence reads it as a system with funders, people, instruments, journals and data that other systems depend on. Medicines, forecasts, chips and models all start in it111794.

The system is large and uneven. Worldwide spending reached USD 3.48 trillion in 2024, with China and the United States together performing more than half of it1. Researcher density runs from 88 per million in Sub-Saharan Africa to 5,006 in Northern America2.

The record is growing faster than it can be checked. Articles, preprints and AI-assisted outputs rise each year159, and retraction notices peaked at 15,582 in 20236. Case studies show that coordinated fraud is large, resilient and growing14, and a replication project in psychology found 36% of replications significant against 97% of originals16.

The frontier is becoming more computational. Five exascale systems now sit on the TOP500 list4, training compute has doubled about every six months since the early 2010s13, and AI systems are entering hypothesis generation27. Governance is moving in parallel through UNESCO recommendations and a WHO framework on dual-use research252618.

Figure 1.1How unevenly is research capacity spread? Researchers per million inhabitants (FTE), 2023

The densest region has about fifty-seven times as many researchers per million people as the thinnest one. Spending shares follow the same order, so capacity and funding compound each other2.

ItemBar, scaled to the largest valueValue
Northern America5006
Europe4025
Eastern Asia2632
Latin America and the Caribbean668
Southern Asia347
Sub-Saharan Africa88

Source: as cited in the note to this figure. Year 2023.

Figure ID FIG-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-01-003

88per million

researchers in Sub-Saharan Africa2

5,006per million

researchers in Northern America2

0.38%

of GDP spent on R&D in Sub-Saharan Africa2

70per million

researchers in Least Developed Countries2

1.3Twenty couplings between five systems

The science and engineering-centred matrix types the twenty couplings between the five core systems, read for their science and engineering content. Strengths are Nexus estimates (ESTIMATED) from the cited evidence and analogue events; they set the graph that 2027 evidence will test.

Figure 1.2Couplings between the five systems

Each line is one coupling from one system to another, drawn by the strength the edition assigns. Strengths are Nexus estimates from the cited evidence and analogue events.

  • Strong
  • Moderate
  • Weak

Source: this edition’s coupling matrix (Table 1.1); status Estimated.

Table 1.1Coupling matrix: from the row system to the column system
From, toWATENEFOOHLTBIO
WAT Water·WEAK
hydropower research
MODERATE
irrigation science and crop trials
WEAK
exposure studies
MODERATE
river and lake monitoring
ENE EnergyWEAK
instrument and desalination research load
·WEAK
processing research
MODERATE
power for laboratories and clinics
WEAK
field-station power
FOO FoodWEAK
farm monitoring data
WEAK
bio-based fuels research
·MODERATE
nutrition science
MODERATE
crop genetics and land-use science
HLT HealthWEAK
public health surveillance
WEAK
workforce
MODERATE
zoonosis and food-safety science
·STRONG
genomics and structural biology tools
BIO BiodiversityWEAK
catchment monitoring
WEAK
biomass research
MODERATE
breeding resources
STRONG
sequences, structures and medicines
·
Strength: strong, moderate or weak; a Nexus estimate (status Estimated) from cited evidence and analogue events. The scale is defined in Annex A.

Transmission paths

  1. 01

    BIO → HLT

    Sequence, structure and trial data feed medicines and gene therapy.

    Reported AlphaFold database and the 2023 authorisation1217

  2. 02

    AIC → DAT → GOV

    Mass-produced or AI-assisted papers dilute the record and strain peer review.

    Reported paper-mill case studies141

  3. 03

    FIN → DAT

    Funding and talent concentrate capacity in a few regions.

    Reported R&D shares and researcher density12

  4. 04

    INF → AIC

    Exascale and training compute decide which groups can work at the frontier.

    Reported TOP500 list and compute trend413

  5. 05

    TRD → DAT

    Co-authorship and mobility carry knowledge across borders.

    Reported 22% of articles; AI researcher moves18

1.4Reinforcing loops

A shock entering either system of a loop can return amplified through the other.

Table 1.2Pairs of systems where both directions are rated strong
LoopFirst directionSecond direction
HLT and BIOHealth to biodiversity: genomics and structural biology toolsBiodiversity to health: sequences, structures and medicines
A causal-loop reading of the matrix (Sterman, Business Dynamics, 2000): structural, from estimated strengths, not a measured feedback.

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 11Abramson, J. et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3, Nature 630, 493 to 500, 2024 (abstract and open full text read through Europe PMC). Springer Nature, London. Observation year 2024. Accessed 2026-11-03.back
  2. 17US Food and Drug Administration (ed.), FDA Approves First Gene Therapies to Treat Patients with Sickle Cell Disease, press announcement of 8 December 2023. FDA, Silver Spring. Page read. Observation year 2023. Accessed 2026-11-03.back
  3. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  4. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  5. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  6. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  7. 5POST-CLOSE, context only: arXiv (ed.), Monthly submissions statistics (monthly CSV, 1991 to November 2026; annual totals summed by the editors). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  8. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  9. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back
  10. 16Open Science Collaboration, Estimating the reproducibility of psychological science, Science 349(6251), aac4716, 2015 (abstract read through Europe PMC; full text not opened). American Association for the Advancement of Science, Washington. Observation year 2015. Accessed 2026-11-03.back
  11. 13Sevilla, J. et al., Compute Trends Across Three Eras of Machine Learning, arXiv 2202.05924, 2022 (abstract page read). Cornell University, Ithaca. Observation year 2022. Accessed 2026-11-03.back
  12. 27Gottweis, J. et al., Accelerating scientific discovery with Co-Scientist, arXiv 2502.18864 (version 2, 2026; abstract read through the arXiv API). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  13. 25UNESCO (ed.), UNESCO Recommendation on Open Science, 2021, programme page (193 Member States). UNESCO, Paris. Page read; the Recommendation text itself returned an access error. Observation year 2021. Accessed 2026-11-03.back
  14. 26UNESCO (ed.), Recommendation on the Ethics of Artificial Intelligence, November 2021, programme page (193 Member States). UNESCO, Paris. Page read; the text itself was not opened. Observation year 2021. Accessed 2026-11-03.back
  15. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03.back
  16. 12Varadi, M. et al., AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences, Nucleic Acids Research 52 (database issue), 368 to 375, 2024 (abstract read through Europe PMC). Oxford University Press, Oxford. Observation year 2024. Accessed 2026-11-03.back
  17. 8Stanford HAI (ed.), The 2026 AI Index Report, overview page with the ten top takeaways. Stanford Institute for Human-Centered AI, Stanford. Page read; the report PDF was not opened. Observation year 2025. Accessed 2026-11-03.back

Key findings

Twelve findings carry the science and engineering baseline. They are grouped by coupling and never ranked. Each resolves to its source or, where Nexus analysis is involved, to its stated method.

5 min read1 figure0 tables15 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

2.1Headline finding

ReportedEQL 5NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-DAT-003

In 2023, the world had 1,486 researchers per million people, with 88 in Sub-Saharan Africa and 5,006 in Northern America.

Figure 2.1Researchers per million inhabitants (FTE), 2023
ItemBar, scaled to the largest valueValue
Northern America5,006
Europe4,025
Eastern Asia2,632
World1,486
Latin America and the Caribbean668
Southern Asia347
Sub-Saharan Africa88

Source: UNESCO Institute for Statistics, February 2026 data release2.

Implication

The distribution of people who can do research is far more uneven than the distribution of articles or spending. Least Developed Countries stand at 70 researchers per million and spend 0.28% of GDP on research, so knowledge made elsewhere is the main input to their decisions2. Women were 31.4% of researchers worldwide, with regional shares from 23.9% in Eastern Asia to 45.0% in Northern Africa2.

What would move it

The next UNESCO data release, national statistics on researcher headcount and the reconciliation with the World Bank series would each move this finding.

2.2Finance

  1. ReportedEQL 4NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-FIN-001

    Worldwide R&D expenditure totalled USD 3.48 trillion in 2024 on a comparable basis; China held 30% and the United States 29%, and the EU-27 18%.1

  2. ReportedEQL 4NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-FIN-002

    World R&D intensity is 1.92% of GDP in 2023 in the UNESCO series, up from 1.71% in 2015, while the World Bank series shows 2.60% for 2023; the two issuers are not reconciled here.23

2.3Data and digital

  1. ReportedEQL 5NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-DAT-003

    The world had 1,486 researchers per million people in 2023, against 1,141 in 2015, with 88 in Sub-Saharan Africa, 347 in Southern Asia and 5,006 in Northern America; women were 31.4% of researchers.2

2.4Trade

  1. ReportedEQL 4NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-TRD-004

    Worldwide scientific output was 3.5 million articles in 2024, led by China (31%), the United States (12%) and India (7%), and 22% of articles had international co-authors, up from 19% in 2012.1

2.5Governance

  1. ReportedEQL 3NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-GOV-005

    Crossref registered 15,582 retraction notices in 2023, 9,700 in 2024 and 7,632 in 2025, against 1,678 in 2015, and PNAS case studies conclude that fraudulent publications grow faster than legitimate science.6141

2.6AIC

  1. ReportedEQL 3NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-AIC-006

    AI accounts for 5.8% to 8.8% of scientific research output depending on the field, up from below 1% in 2010, and the best AI agents score 38.8% against 83.5% for PhD experts on a research-task benchmark.9

  2. ReportedEQL 4NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-AIC-007

    Training compute of notable ML systems doubled about every six months since the early 2010s, against about twenty months before 2010, and industry produced more than 90% of notable frontier models in 2025.138

2.7Infrastructure

  1. ReportedEQL 5NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-INF-008

    The June 2026 TOP500 list holds five exascale systems; LineShine in Shenzhen leads with 2.198 Eflop/s, and JUPITER Booster is the first European exascale system.4

  2. ReportedEQL 4NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-INF-009

    A 101-qubit distance-7 surface-code memory showed logical error suppressed by a factor of 2.14 for each step in code distance, with 0.143% error per cycle.10

2.8Biodiversity

  1. ReportedEQL 4NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-BIO-010

    The AlphaFold database holds over 214 million predicted protein structures, the Protein Data Bank held 262,922 entries and GBIF held 3.89 billion occurrence records at access.122223

2.9Health

  1. ReportedEQL 4NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-HLT-011

    The FDA gave marketing authorisation on 8 December 2023 to the first treatment using a novel genome-editing technology, and WHO published a framework in 2022 on governing dual-use life science research.1718

2.10Systemic

  1. Expert inputEQL 2NRF-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-SYS-012

    The leading compound pathway for 2027 testing is a loss of trust in the research record during a fast-moving emergency. § scenario

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  2. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  3. 3DATA VINTAGE AFTER CLOSE: World Bank (ed.), World Development Indicators API (series updated 2026-10-08, after the 30 September evidence close; cited as the position at access): GB.XPD.RSDV.GD.ZS, SP.POP.SCIE.RD.P6, IP.JRN.ARTC.SC, IP.PAT.RESD, IP.PAT.NRES, world values. World Bank, Washington. Data pulled and read. Observation year 2023 (patents 2024, researchers 2020). Accessed 2026-11-03.back
  4. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  5. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back
  6. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  7. 13Sevilla, J. et al., Compute Trends Across Three Eras of Machine Learning, arXiv 2202.05924, 2022 (abstract page read). Cornell University, Ithaca. Observation year 2022. Accessed 2026-11-03.back
  8. 8Stanford HAI (ed.), The 2026 AI Index Report, overview page with the ten top takeaways. Stanford Institute for Human-Centered AI, Stanford. Page read; the report PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  9. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  10. 10Google Quantum AI and collaborators, Quantum error correction below the surface code threshold, arXiv 2408.13687 (full text opened) and Nature 638, 920 to 926, 2024. Observation year 2024. Accessed 2026-11-03.back
  11. 12Varadi, M. et al., AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences, Nucleic Acids Research 52 (database issue), 368 to 375, 2024 (abstract read through Europe PMC). Oxford University Press, Oxford. Observation year 2024. Accessed 2026-11-03.back
  12. 22RCSB Protein Data Bank (ed.), Current holdings, list of entry identifiers (262,922 entries counted by the editors on the access date). Research Collaboratory for Structural Bioinformatics. Observation year 2026. Accessed 2026-11-03.back
  13. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03.back
  14. 17US Food and Drug Administration (ed.), FDA Approves First Gene Therapies to Treat Patients with Sickle Cell Disease, press announcement of 8 December 2023. FDA, Silver Spring. Page read. Observation year 2023. Accessed 2026-11-03.back
  15. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03.back

Systems and sectors at baseline

5 min read0 figures2 tables11 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

3.1Where each system stood at evidence close

FIN · Finance

Global R&D expenditure

3.48USD trillion

comparable basis; China 30%, United States 29%.

Reported2024NSB1

DAT · Data

Researchers per million inhabitants (FTE)

1,486per million

Sub-Saharan Africa 88; Northern America 5,006.

Reported2023UNESCO2

TRD · Trade

Articles with international co-authors

22%

19% in 2012.

Reported2024NSB1

INF · Infrastructure

Exascale systems on the TOP500 list

5systems

LineShine measured at 2.198 Eflop/s.

Reported2026TOP5004

GOV · Governance

Retraction notices registered with Crossref

7,632notices

15,582 in 2023; 2025 count may still rise.

Reported2025Crossref6

SYS · Cross-system

Women among researchers (headcount)

31.4%

Eastern Asia 23.9%; Northern Africa 45.0%.

Reported2023UNESCO2

3.2Domain posture

Each of the twelve coupled domains is read through science and engineering, in words, not scored. The coupling column names the dependency that carries science and engineering risk into each domain.

Table 3.1Each domain read in words, not scored
DomainPosture at baselineCouplingStatus
WATMonitoring networks and desalination research depend on instruments and open data; no consolidated global series of research effort is bound here.DAT → WATExpert input EQL 2
ENEExascale machines draw large power; El Capitan reaches 60.94 gigaflops per watt. Research-facility power use is not consolidated here.INF ↔ ENEReported EQL 3
FOOCrop genetics, food safety and farm data rest on the same discovery layer; no consolidated series is bound here.DAT → FOOExpert input EQL 2
HLTGenome-editing treatment authorised in 2023; structure prediction supports drug discovery; WHO framework on dual-use research.DAT → HLTReported EQL 4
BIOAlphaFold database over 214 million structures; GBIF 3.89 billion occurrence records; open archives anchor biology.DAT → BIOReported EQL 4
CLIAI weather models reached operational deployment in 2025; earth-science datasets come from government and academic sources.AIC → CLIReported EQL 3
INFFive exascale systems; a below-threshold surface-code memory; a 91 km collider design at CHF 15 billion over about 12 years.the core systemReported EQL 5
FINUSD 3.48 trillion of R&D in 2024; venture investment USD 354 billion; Horizon Europe EUR 93.5 billion for 2021 to 2027.FIN → DATReported EQL 4
DATarXiv 284,486 submissions in 2025; RCSB 262,922 entries; GBIF 3.89 billion records; retraction notices registered with Crossref.the evidence layerReported EQL 5
AICAI is 5.8% to 8.8% of research output; training compute doubling about every six months; industry builds most notable models.AIC → DATReported EQL 4
MINChina led semiconductor production with 30% of value added in 2024; one Taiwanese foundry fabricates almost every leading AI chip.MIN → AICReported EQL 4
TRDArticles with international co-authors rose to 22%; temporary visa holders earned 38% of US S&E doctorates; AI researcher moves to the US fell 89% since 2017.TRD ↔ DATReported EQL 4

3.3Sector screens

All sixteen sectors are screened for their dependence on science and engineering, on the same grammar as every national edition. The evidence column describes coverage of the baseline evidence, not the performance of the sector.

Table 3.2Sectors: baseline evidence and the exposure to watch
CodeSectorBaseline evidenceExposure to watchEvidence coverage
GS-00Cross-systemdiscovery feeds every other system19trust shock in the recordPARTIAL
GS-01Watermonitoring and desalination research rest on open datacontinuity of instrumentsTHIN
GS-02Energyexascale machines and facilities draw large power4facility power and costTHIN
GS-03Foodcrop genetics and food-safety sciencegene-editing governanceTHIN
GS-04Healthgenome-editing treatment and structure prediction1711dual-use researchGOOD
GS-05FinanceUSD 3.48 trillion of R&D spending1funding cyclesGOOD
GS-06Development88 researchers per million in Sub-Saharan Africa2capacity gapGOOD
GS-07ClimateAI weather models in operation9model validationPARTIAL
GS-08Disasterforecasting and hazard science depend on data and compute9data continuity in a crisisTHIN
GS-09Infrastructurecollider design of 91 km19; exascale systems4long-lead facilitiesPARTIAL
GS-10Citiesurban science relies on open data and computedata accessTHIN
GS-11BiodiversityGBIF holds 3.89 billion records23coverage and bias of recordsPARTIAL
GS-12Earth observationAI models for weather and satellites9continuity of missionsPARTIAL
GS-13Cyber and digitalresearch data and compute are targets and toolsresearch securityTHIN
GS-14PolicyUNESCO recommendations and a WHO framework2518implementation in practicePARTIAL
GS-15Sciencea large but uneven research system12integrity and capacity dataPARTIAL

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  2. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  3. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  4. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  5. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  6. 17US Food and Drug Administration (ed.), FDA Approves First Gene Therapies to Treat Patients with Sickle Cell Disease, press announcement of 8 December 2023. FDA, Silver Spring. Page read. Observation year 2023. Accessed 2026-11-03.back
  7. 11Abramson, J. et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3, Nature 630, 493 to 500, 2024 (abstract and open full text read through Europe PMC). Springer Nature, London. Observation year 2024. Accessed 2026-11-03.back
  8. 19CERN (ed.), Future Circular Collider, feasibility study page (results published in spring 2025: 91 km ring, estimated cost CHF 15 billion). CERN, Geneva. Page read. Observation year 2025. Accessed 2026-11-03.back
  9. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03.back
  10. 25UNESCO (ed.), UNESCO Recommendation on Open Science, 2021, programme page (193 Member States). UNESCO, Paris. Page read; the Recommendation text itself returned an access error. Observation year 2021. Accessed 2026-11-03.back
  11. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03.back

Risks and capability

Four science and engineering risk objects open the portfolio. Order carries no rank. Each is read across driver, exposure, vulnerability, capacity, cascade and consequence.

5 min read0 figures1 table18 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

4.1Risk objects

Each risk is read across the chain from hazard to consequence, with its status and evidence-quality level.

  1. InferredEQL 3RSK-GS15-GOV-001

    Loss of trust in the research record

    Driver
    paper mills, brokers and AI-assisted text growing faster than screening149
    Exposure
    clinical guidance, policy advice and public debate that cite the literature
    Vulnerability
    thin screening at some journals; replication rarely funded16
    Capacity
    retraction notices; open data; replication projects; integrity units
    Cascade
    DAT → HLT, GOV
    Horizon
    1 to 5 years
  2. InferredEQL 3RSK-GS15-DAT-002

    Concentration of research capacity and compute

    Driver
    concentrated funding, people and compute124
    Exposure
    regions with few researchers; groups without access to large machines
    Vulnerability
    dependence on foreign results and foreign tools
    Capacity
    open data; shared facilities; regional networks24
    Cascade
    DAT → HLT, FOO, FIN
    Horizon
    1 to 10 years
  3. InferredEQL 3RSK-GS15-BIO-003

    Dual-use risk in life science research

    Driver
    cheaper tools and models for biology1118
    Exposure
    laboratories, funders, publishers and model developers
    Vulnerability
    guidance that is voluntary in many places
    Capacity
    WHO framework; national oversight; institutional review18
    Cascade
    BIO → HLT, GOV
    Horizon
    1 to 5 years
  4. InferredEQL 3RSK-GS15-INF-004

    Long-lead facilities and single-funder dependence

    Driver
    multi-billion projects with decade-long schedules19
    Exposure
    accelerators, observatories, supercomputers and archives
    Vulnerability
    single sites, single funders and shifting budgets
    Capacity
    international councils; staged decisions; shared archives22
    Cascade
    INF → DAT, FIN
    Horizon
    5 to 10 years

4.2Capability ladder

Existence is not readiness. Each of the fifteen capability functions is placed on the ladder by the strongest public evidence for science and engineering at the global level.

Table 4.1Capabilities on the ladder of evidence: listed, exists, demonstrated, tested
FunctionRungLevelStrongest public evidence at baseline
Prevention and mitigationEXISTSresearch ethics and integrity guidance widespread; practice uneven2537
Monitoring and observationADEQUATEopen archives and retraction notices give partial visibility62223
Early warningLISTEDno consolidated early warning for fraud or dual-use misuse
Preparedness and planningEXISTSWHO framework and national plans for dual-use research18
Redundancy and reservesEXISTSmirrored open archives and preprint servers522
ResponseEXISTSretractions and expressions of concern are used by publishers6
Continuity of critical servicesLISTEDcontinuity of shared instruments and databases not reviewed
RecoveryLISTEDrecovery of trust after large retraction waves not reviewed
AdaptationEXISTSopen science and AI ethics recommendations adopted2526
Social protectionLISTEDprotection of early-career researchers documented but not consolidated
Finance and insuranceEXISTSUSD 3.48 trillion of R&D; EUR 93.5 billion in one programme124
Institutional coordinationDEMONSTRATEDCERN feasibility study with national partners; UN panel on AI1928
Technical infrastructureDEMONSTRATEDfive exascale systems and open structure archives422
WorkforceLISTEDresearcher density known, skills gaps not consolidated2
Research capacityADEQUATEstrong in a few regions; thin in others2
A capability listed in policy is not a tested one; each rung is the strongest public evidence at baseline.

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back
  2. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  3. 16Open Science Collaboration, Estimating the reproducibility of psychological science, Science 349(6251), aac4716, 2015 (abstract read through Europe PMC; full text not opened). American Association for the Advancement of Science, Washington. Observation year 2015. Accessed 2026-11-03.back
  4. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  5. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  6. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  7. 24European Commission (ed.), Horizon Europe, programme page (indicative funding of EUR 93.5 billion for 2021 to 2027 after the mid-term review). European Commission, Brussels. Page read. Observation year 2026. Accessed 2026-11-03.back
  8. 11Abramson, J. et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3, Nature 630, 493 to 500, 2024 (abstract and open full text read through Europe PMC). Springer Nature, London. Observation year 2024. Accessed 2026-11-03.back
  9. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03.back
  10. 19CERN (ed.), Future Circular Collider, feasibility study page (results published in spring 2025: 91 km ring, estimated cost CHF 15 billion). CERN, Geneva. Page read. Observation year 2025. Accessed 2026-11-03.back
  11. 22RCSB Protein Data Bank (ed.), Current holdings, list of entry identifiers (262,922 entries counted by the editors on the access date). Research Collaboratory for Structural Bioinformatics. Observation year 2026. Accessed 2026-11-03.back
  12. 25UNESCO (ed.), UNESCO Recommendation on Open Science, 2021, programme page (193 Member States). UNESCO, Paris. Page read; the Recommendation text itself returned an access error. Observation year 2021. Accessed 2026-11-03.back
  13. 37UNVERIFIED, not opened: UNESCO (ed.), Recommendation on Science and Scientific Researchers, 2017, cited from memory. UNESCO, Paris. Observation year 2017. Accessed 2026-11-03.back
  14. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  15. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03.back
  16. 5POST-CLOSE, context only: arXiv (ed.), Monthly submissions statistics (monthly CSV, 1991 to November 2026; annual totals summed by the editors). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  17. 26UNESCO (ed.), Recommendation on the Ethics of Artificial Intelligence, November 2021, programme page (193 Member States). UNESCO, Paris. Page read; the text itself was not opened. Observation year 2021. Accessed 2026-11-03.back
  18. 28UNVERIFIED, not opened: UN General Assembly, resolution 79/325, Terms of reference and modalities for the establishment and functioning of the Independent International Scientific Panel on Artificial Intelligence and the Global Dialogue on Artificial Intelligence Governance, 2025; adoption in 2025 taken from search-result summaries, because the document page returned no text. United Nations, New York. Observation year 2025. Accessed 2026-11-03.back

Loss of trust in the research record during a fast-moving emergency

A conditional statement under stated assumptions, never a prediction.

2 min read0 figures0 tables2 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

5.1Assumptions

Scenario SCN-GS15-INT-01: what is assumed, and what is held constant.

Baseline
the 2026 reference state in this edition
Drivers
a fast-moving health or technology emergency in which many preprints appear, some produced at scale or with AI assistance, and some are retracted within weeks
Analogues
retraction waves of 20236; paper-mill case studies14
Interventions
none modelled: the specification describes the unmitigated case
Run state
narrative specification; quantified run scheduled for 2027

5.2The cascade, step by step

  1. 1

    DAT → GOV

    preprints and papers multiply faster than checks

    2023 to 2025

  2. 2

    AIC → DAT

    AI-assisted text and mass production add low-quality items

    2025

  3. 3

    DAT → HLT

    guidance cites results that are later retracted or not replicated

    2015 to 2023

  4. 4

    GOV → FIN

    funders and markets react to reversals

    to be tested

  5. 5

    DAT → TRD

    cross-border co-authors and platforms propagate corrections unevenly

    to be tested

  6. 6

    GOV → DAT

    public trust in the record falls and reuse slows

    to be tested

5.3The scenario as a table of steps

How the shock in scenario SCN-GS15-INT-01 would travel through Global Science and Engineering Frontier’s coupled systems, step by step, under the assumptions the edition states.

StepWhat happensSource
01 DAT to governancePreprints and papers multiply faster than checks. Analogue or source: 2023 to 2025.Edition GS-15, scenario SCN-GS15-INT-01, step 1
02 AI compute to datAI-assisted text and mass production add low-quality items. Analogue or source: 2025.Edition GS-15, scenario SCN-GS15-INT-01, step 2
03 DAT to healthGuidance cites results that are later retracted or not replicated. Analogue or source: 2015 to 2023.Edition GS-15, scenario SCN-GS15-INT-01, step 3
04 Governance to financeFunders and markets react to reversals. Analogue or source: to be tested.Edition GS-15, scenario SCN-GS15-INT-01, step 4
05 DAT to tradeCross-border co-authors and platforms propagate corrections unevenly. Analogue or source: to be tested.Edition GS-15, scenario SCN-GS15-INT-01, step 5
06 Governance to datPublic trust in the record falls and reuse slows. Analogue or source: to be tested.Edition GS-15, scenario SCN-GS15-INT-01, step 6

A teaching model of a conditional scenario under the edition’s stated assumptions: not a forecast, not a prediction and not a warning. Sources: Global Science and Engineering Frontier 2026, scenario SCN-GS15-INT-01 (2026); Global Science and Engineering Frontier 2026, references (NR-CIT-1) (2026).

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  2. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back

Readings from the other desks

The science and engineering baseline is read through each steward’s lens, then once as a whole. Each lens is a projection of reviewed findings, not a separate argument. The other desks’ own editions of this subject are listed first, as cross-references, not copies.

17 min read0 figures8 tables43 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

6.1The other desks’ editions of this subject

Federation: each desk writes its own edition for the subjects in its remit. Until a desk releases, its edition shows its frame and the reading this edition printed for it.

DeskEditionStateIdentifier
GCRI Systems EvidenceNo edition of this subject at this desk in the 2026 Baseline cycleNot in this cycle
GRF Public DeliberationOutside this desk’s remitNot in remit
GRA Capital ReadinessNo edition of this subject at this desk in the 2026 Baseline cycleNot in this cycle
Standards ProgressNo edition of this subject at this desk in the 2026 Baseline cycleNot in this cycle
Academy CapabilityNo edition of this subject at this desk in the 2026 Baseline cycleNot in this cycle
Index MeasurementOutside this desk’s remitNot in remit

6.2Three lenses

One edition, read by each steward. The lens of this site comes first.

GCRI · KEY T

Technical Truth

The evidence supports reading science and engineering as the discovery layer of the WEFH+B system. Funding, people and compute are concentrated, output keeps rising and the record is under integrity pressure. Evidence is strongest for spending, output and capacity, and weakest for replication, open-access reuse and research security.

DAT-003 · GOV-005 · INF-008 · SYS-012

GRF · KEY M

Public Meaning

For most people science arrives as a medicine, a forecast or a news story. The baseline asks that public debate keep in view that the researchers who make the results are very unevenly spread, and that the record can be wrong and corrected.

DAT-003 · HLT-011 · GOV-005

GRA · KEY F

Capital Meaning

Readiness implications only. R&D spending is large, venture investment was USD 354 billion in 2024 and public programmes are multi-year124. These show where finance-readiness evidence will matter. Nothing here is advice, a rating or an authorisation.

FIN-001 · FIN-002

NEXUS

Synthesis

The research system is well measured at the level of spending, people and output and thinly measured at the level of replication, reuse and integrity. The 2027 programme should bind regional capacity evidence, test the trust shock, and map long-lead facilities before they become gaps.

SYS-012 · F-01 · F-04

6.3Standards, Academy and steward contributions

How the Nexus Standards drafts, the Risk Academy and the three stewards feed each quarterly edition for science and engineering. The standards are a preparatory working draft (2026) and are cited as drafts, never as adopted standards.

Table 6.1The quarterly rhythm every edition follows
QuarterEditionQuestionBoundary
Q1State and AgendaWhat matters this year, and what is the starting position?observed baseline stays distinct from planned work
Q2Evidence and BuildWhat new evidence and capability exist?a configured capability is not a validated result
Q3Stress Test and ReadinessWhat do scenarios and tests show?simulated loss or performance is not observed impact
Q4Annual Synthesis and RenewalWhat changed in the year, and what renews?release follows review, not event publicity deadlines
Table 6.2Who contributes what each quarter
Steward or bodyRoleContribution route
GCRI CanadaLead Institution and Consortium Secretariat; publisher of record; technical truth (key T)science and practice communities · GCRI gateway
The Global Risks Forum (GRF)leadership, dialogue and the Universe programme; public meaning (key M)policy, Universe and national adoption · GRF gateway
The Global Risks Alliance (GRA)finance, insurance and development readiness; capital meaning (key F)finance and insurance · GRA gateway
Nexus Standardspreparatory drafts on vocabulary, hazards, indicators and methodsStandards site · working groups HAZ, IND, MTH, FIN, AI
Risk Academylearning pathways tied to the agenda questionsAcademy gateway · learning by review
Reports sector desksscience chapter inputs: GCRI evidence, GRA readiness, NXS standards, RA capabilitysector editorial board

Standards drafts used in this edition

  • Risk vocabulary NRS-C1 (424 terms) for terms in the glossary
  • Hazard atlas NHS-1 1.1.0 (905 hazards in 120 families) for risk objects
  • Seven risk classes: global, catastrophic, existential, emerging, planetary, exponential, frontier-tech

Standards calendar to watch

  • Founding calls from 20 October 2026; working groups meet from 5 November 2026
  • Inaugural Global Standards Council session, 12 January 2027
  • Quarterly reviews in March, June, September and December, aligned with each edition

6.4GCRI reading: the model card

GCRI’s reading of this edition is its model card: what the national model is, what it computes and where it stops. It is printed in full in Annex A, with the methods it belongs to. Annex A, methodology

6.5Global Risks Forum reading: editorial essays

Four signed essays by the Reports editorial team set out the positions this edition takes. They are interpretation, labelled as such; the evidence they draw on is in the findings register.

Every health, food and climate decision rests on results made somewhere else. Treating research as a line in a budget understates how it carries knowledge between systems. This edition asks where a failure in the research record goes next.

EDITORIAL ESSAY · 01

Science is a coupling, not a sector

Spending, researchers, instruments and data are four different things, and each is concentrated. Measuring the whole chain is the first step toward seeing which regions can use the frontier and which only receive it.

EDITORIAL ESSAY · 02

Capacity is wider than spending

Papers, preprints and archives work like shared infrastructure for health and policy. Retraction waves and paper-mill case studies show that it needs maintenance, and that the share affected is not yet known.

EDITORIAL ESSAY · 03

The record is now an infrastructure

AI is a growing share of research output, and agents still reach only about half of expert scores on research tasks. Compute has doubled about every six months for a decade. The question for 2027 is how the record keeps its quality as the work speeds up.

EDITORIAL ESSAY · 04

AI changes the work, not only the tools

6.6Global Risks Alliance reading: 2027 science and engineering readiness pack

The registers that open the 2027 global cycle. At baseline each is initialised from this edition.

Table 6.32027 science and engineering readiness pack
ItemRegisterState at baselineFirst 2027 entry
E1Science and Engineering Frontier risk state deltabaseline set by this editionchanges against the baseline
E2WEFH+B state deltafive global system readings setindicator updates and freshness
E3Agenda and Portfolio movementeight agenda items · 6 proposed objectsadmission decisions
E4Federation delivery registernational chapters in preparationnational chapters
E5Consortium capability registernational consortia formingfirst contributions
E6Leadership questions and challengesnone yetfirst challenge log
E7Foundry technical statenational environments preparedfirst federation cut
E8Publication candidatestwelve findings carried forwardPUBLISH · HOLD dispositions
E9Universe readinessone candidate missionadmission and role spine
E10Correction registernonefirst federation-wide cycle

Publication dispositions

  • Publish
  • Hold
  • Needs evidence
  • Restricted
  • Superseded

6.7Nexus Standards reading: standards and regulatory watch

Instruments and published guidance that shape the systems in this edition, by status on the retrieval date. Nexus standards drafts used for terms and evidence classes are cited as preparatory working draft (2026). The edition assesses no one’s compliance.

  • ADOPTED
  • PUBLISHED · GUIDANCE
  • PUBLISHED · VOLUNTARY
  • NOT VERIFIED
Table 6.4Standards and regulatory watch
InstrumentBodyScopeStatusRelevance
UNESCO Recommendation on Open Science25UNESCO193 Member StatesADOPTED 2021open science
UNESCO Recommendation on the Ethics of AI26UNESCO193 Member StatesADOPTED 2021AI ethics
UNESCO Recommendation on Science and Scientific Researchers37UNESCOMember StatesADOPTED 2017 · NOT VERIFIEDresearcher status
WHO global guidance framework for the responsible use of the life sciences18WHOglobalPUBLISHED · GUIDANCEdual-use research
Independent scientific panel and dialogue on AI (resolution 79/325)28UN General AssemblyglobalADOPTED 2025 · NOT VERIFIEDAI governance
Pact for the Future and Global Digital Compact (resolution 79/1)29UN General AssemblyglobalADOPTED 2024 · NOT VERIFIEDdigital governance
Regulation (EU) 2024/168930European UnionEUPUBLISHED IN OFFICIAL JOURNAL 2024 · NOT VERIFIEDAI rules
Framework Convention on AI31Council of EuropeCouncil of EuropeADOPTED 2024 · NOT VERIFIEDAI governance
ISO/IEC 42001 AI management system32ISO and IECglobalPUBLISHED · VOLUNTARYAI governance
ISO/IEC 17025 testing and calibration laboratories33ISO and IECglobalPUBLISHED · VOLUNTARYlaboratory quality
Declaration on Research Assessment38DORA signatoriesglobalPUBLISHED · VOLUNTARYresearch assessment
Biological Weapons Convention41United NationsStates PartiesIN FORCE 1975 · NOT VERIFIEDprohibition
Nexus evidence classes and finding grammarNexus StandardsNexus programmepreparatory working draft (2026)terms and evidence classes

Changed since 2024

  • The UN General Assembly established an independent scientific panel on AI and a Global Dialogue in 202528
  • Stanford HAI added a science chapter to the AI Index for the first time in 20269
  • The TOP500 list of June 2026 added a fifth exascale system4

To watch in 2027

  • First outputs of the UN scientific panel on AI and the Geneva dialogue in 202628
  • Implementation of the EU rules on AI that touch research use30
  • National plans to apply the UNESCO recommendations on open science and AI ethics2526

6.8Risk Academy reading: literature and evidence review, science and assessments

The review behind this edition covers science and engineering assessments, peer-reviewed science and the institutional reports that bind its findings. Systematic reviews for each agenda item begin in 2027.

Review protocol

Question
What does the published evidence establish about the world’s science and engineering enterprise and its couplings?
Sources searched
agency and academy reports; peer-reviewed science-of-science literature; statistics and open data services
Window
releases available at evidence close, 30 September 2026
Selection
sources that bind or contextualise a finding in this edition
Next step
systematic reviews for agenda items 01 to 05 in 2027
Table 6.5Peer-reviewed science and assessments
ReferenceTypeYearRoleUsed for
Richardson et al.14journal article2025supportspaper-mill fraud
Park, Leahey and Funk15journal article2023contextdisruptiveness of papers and patents
Open Science Collaboration16journal article2015supportsreplication in psychology
Abramson et al.11journal article2024supportsstructure prediction
Jumper et al.35journal article2021contextearlier structure model
Google Quantum AI10journal article2024supportserror correction
Sevilla et al.13conference paper2022supportscompute trends
Baker34news feature2016contextresearcher survey on reproducibility
Bloom et al.42journal article2020contextresearch productivity
Wuchty, Jones and Uzzi43journal article2007contextteam science
Table 6.6Institutional flagships
ReferenceIssuerYearRoleUsed for
Indicators 2026: State of U.S. S&E1NSB and NCSES2026supportsR&D, output, talent
AI Index Report 20268Stanford HAI2026supportsAI and compute
AI Index 2026, Science chapter9Stanford HAI2026supportsAI in science
UNESCO Science Report36UNESCO2021contextglobal science policy
Frascati Manual39OECD2015contextR&D definitions
World Intellectual Property Indicators40WIPO2025contextpatent filings
Co-Scientist27preprint2025contextAI hypothesis generation
Table 6.7Statistics, preprints and data services
ReferenceIssuerYearRoleUsed for
Researchers and R&D intensity2UNESCO Institute for Statistics2026supportscapacity
Development indicators3World Bank2026supportsR&D, articles, patents
Retraction notices and article counts6Crossref2026supportsintegrity and volume
Monthly submissions5arXiv2026supportspreprint volume
Preprint API7bioRxiv and medRxiv2026supportsbiology preprints
Objects launched into outer space21Our World in Data from UNOOSA2026contextspace activity
R&D data release44UNESCO Institute for Statistics2025contextearlier release
Table 6.8Instruments, governance and standards
ReferenceIssuerYearRoleUsed for
TOP500 list, June 20264TOP500 project2026supportsexascale systems
Future Circular Collider study19CERN2025supportslong-lead facility
Ignition at the National Ignition Facility20Lawrence Livermore National Laboratory2022contextlaboratory ignition
Protein Data Bank holdings22RCSB2026supportsstructure archive
GBIF occurrence records23GBIF2026supportsspecies data
AlphaFold database in 202412EMBL-EBI and partners2024supportspredicted structures
Global guidance framework on dual-use research18WHO2022supportsdual-use governance
Horizon Europe24European Commission2026contextpublic programme
Biological Weapons Convention41United Nations1972contextprohibition
Science and scientific researchers recommendation37UNESCO2017contextresearcher status

Where the evidence agrees

  • Research spending and output are concentrated in a few performers1
  • Researcher density is far lower in Sub-Saharan Africa than in Northern America2
  • Compute for notable systems has grown at an exceptional rate134

Where it is unsettled

  • What share of the research record is fraudulent or unreliable1416
  • How far AI agents can do end-to-end research927
  • Global R&D intensity: UNESCO shows 1.92% and the World Bank 2.60% for 2023, and the bases differ23

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  2. 24European Commission (ed.), Horizon Europe, programme page (indicative funding of EUR 93.5 billion for 2021 to 2027 after the mid-term review). European Commission, Brussels. Page read. Observation year 2026. Accessed 2026-11-03.back
  3. 25UNESCO (ed.), UNESCO Recommendation on Open Science, 2021, programme page (193 Member States). UNESCO, Paris. Page read; the Recommendation text itself returned an access error. Observation year 2021. Accessed 2026-11-03.back
  4. 26UNESCO (ed.), Recommendation on the Ethics of Artificial Intelligence, November 2021, programme page (193 Member States). UNESCO, Paris. Page read; the text itself was not opened. Observation year 2021. Accessed 2026-11-03.back
  5. 37UNVERIFIED, not opened: UNESCO (ed.), Recommendation on Science and Scientific Researchers, 2017, cited from memory. UNESCO, Paris. Observation year 2017. Accessed 2026-11-03.back
  6. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03.back
  7. 28UNVERIFIED, not opened: UN General Assembly, resolution 79/325, Terms of reference and modalities for the establishment and functioning of the Independent International Scientific Panel on Artificial Intelligence and the Global Dialogue on Artificial Intelligence Governance, 2025; adoption in 2025 taken from search-result summaries, because the document page returned no text. United Nations, New York. Observation year 2025. Accessed 2026-11-03.back
  8. 29UNVERIFIED, not opened: UN General Assembly, resolution 79/1, Pact for the Future, including the Global Digital Compact, 2024, cited from memory. United Nations, New York. Observation year 2024. Accessed 2026-11-03.back
  9. 30UNVERIFIED, not opened: Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence, Official Journal of the European Union, 2024, cited from memory; the publication page returned a pending response. Observation year 2024. Accessed 2026-11-03.back
  10. 31UNVERIFIED, not opened: Council of Europe, Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law, 2024, cited from memory. Council of Europe, Strasbourg. Observation year 2024. Accessed 2026-11-03.back
  11. 32UNVERIFIED, not opened: ISO/IEC 42001:2023, Artificial intelligence management system; the catalogue page returned an access error. International Organization for Standardization, Geneva. Observation year 2023. Accessed 2026-11-03.back
  12. 33UNVERIFIED, not opened: ISO/IEC 17025:2017, General requirements for the competence of testing and calibration laboratories, cited from memory. International Organization for Standardization, Geneva. Observation year 2017. Accessed 2026-11-03.back
  13. 38UNVERIFIED, not opened: San Francisco Declaration on Research Assessment (DORA), 2012, cited from memory. DORA, San Francisco. Observation year 2012. Accessed 2026-11-03.back
  14. 41UNVERIFIED, not opened: Convention on the Prohibition of the Development, Production and Stockpiling of Bacteriological (Biological) and Toxin Weapons and on their Destruction, 1972, cited from memory. United Nations, Geneva. Observation year 1972. Accessed 2026-11-03.back
  15. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  16. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  17. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back
  18. 15Park, M., Leahey, E. and Funk, R.J., Papers and patents are becoming less disruptive over time, Nature 613, 138 to 144, 2023 (abstract read through Europe PMC; full text not opened). Springer Nature, London. Observation year 2023. Accessed 2026-11-03.back
  19. 16Open Science Collaboration, Estimating the reproducibility of psychological science, Science 349(6251), aac4716, 2015 (abstract read through Europe PMC; full text not opened). American Association for the Advancement of Science, Washington. Observation year 2015. Accessed 2026-11-03.back
  20. 11Abramson, J. et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3, Nature 630, 493 to 500, 2024 (abstract and open full text read through Europe PMC). Springer Nature, London. Observation year 2024. Accessed 2026-11-03.back
  21. 35UNVERIFIED, not opened: Jumper, J. et al., Highly accurate protein structure prediction with AlphaFold, Nature 596, 583 to 589, 2021, cited from memory. Springer Nature, London. No figure from it is used. Observation year 2021. Accessed 2026-11-03.back
  22. 10Google Quantum AI and collaborators, Quantum error correction below the surface code threshold, arXiv 2408.13687 (full text opened) and Nature 638, 920 to 926, 2024. Observation year 2024. Accessed 2026-11-03.back
  23. 13Sevilla, J. et al., Compute Trends Across Three Eras of Machine Learning, arXiv 2202.05924, 2022 (abstract page read). Cornell University, Ithaca. Observation year 2022. Accessed 2026-11-03.back
  24. 34UNVERIFIED, not opened: Baker, M., 1,500 scientists lift the lid on reproducibility, Nature 533, 452 to 454, 2016; the article is behind a subscription and only its bibliographic record was checked. Springer Nature, London. No figure from it is used. Observation year 2016. Accessed 2026-11-03.back
  25. 42UNVERIFIED, not opened: Bloom, N., Jones, C.I., Van Reenen, J. and Webb, M., Are Ideas Getting Harder to Find?, American Economic Review 110(4), 1104 to 1144, 2020, cited from memory. American Economic Association, Nashville. No figure from it is used. Observation year 2020. Accessed 2026-11-03.back
  26. 43UNVERIFIED, not opened: Wuchty, S., Jones, B.F. and Uzzi, B., The Increasing Dominance of Teams in Production of Knowledge, Science 316(5827), 1036 to 1039, 2007, cited from memory. American Association for the Advancement of Science, Washington. No figure from it is used. Observation year 2007. Accessed 2026-11-03.back
  27. 8Stanford HAI (ed.), The 2026 AI Index Report, overview page with the ten top takeaways. Stanford Institute for Human-Centered AI, Stanford. Page read; the report PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  28. 36UNVERIFIED, not opened: UNESCO (ed.), UNESCO Science Report: Towards 2030, 2021 edition, cited from memory. UNESCO, Paris. No figure from it is used. Observation year 2021. Accessed 2026-11-03.back
  29. 39UNVERIFIED, not opened: OECD (ed.), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, cited from memory. OECD Publishing, Paris. Observation year 2015. Accessed 2026-11-03.back
  30. 40UNVERIFIED, not opened: WIPO (ed.), World Intellectual Property Indicators 2025, cited from memory; the opened World Bank series draws on WIPO data. World Intellectual Property Organization, Geneva. No figure from it is used. Observation year 2024. Accessed 2026-11-03.back
  31. 27Gottweis, J. et al., Accelerating scientific discovery with Co-Scientist, arXiv 2502.18864 (version 2, 2026; abstract read through the arXiv API). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  32. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  33. 3DATA VINTAGE AFTER CLOSE: World Bank (ed.), World Development Indicators API (series updated 2026-10-08, after the 30 September evidence close; cited as the position at access): GB.XPD.RSDV.GD.ZS, SP.POP.SCIE.RD.P6, IP.JRN.ARTC.SC, IP.PAT.RESD, IP.PAT.NRES, world values. World Bank, Washington. Data pulled and read. Observation year 2023 (patents 2024, researchers 2020). Accessed 2026-11-03.back
  34. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  35. 5POST-CLOSE, context only: arXiv (ed.), Monthly submissions statistics (monthly CSV, 1991 to November 2026; annual totals summed by the editors). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  36. 7bioRxiv (ed.), bioRxiv and medRxiv content detail API, new-paper counts for 2024 and 2025. Cold Spring Harbor Laboratory, Cold Spring Harbor. Observation year 2025. Accessed 2026-11-03.back
  37. 21Our World in Data (ed.), Yearly number of objects launched into outer space (data compiled from the UN Office for Outer Space Affairs, CSV read). Global Change Data Lab, Oxford. Observation year 2025. Accessed 2026-11-03.back
  38. 44UNVERIFIED, not opened: UNESCO Institute for Statistics (ed.), R&D (SDG 9.5) data release, February 2025; the page returned a script challenge, and 1.95% of GDP in 2022 and 31.1% women among researchers were seen only in search-result summaries and are not used. UNESCO, Montreal. Observation year 2022. Accessed 2026-11-03.back
  39. 19CERN (ed.), Future Circular Collider, feasibility study page (results published in spring 2025: 91 km ring, estimated cost CHF 15 billion). CERN, Geneva. Page read. Observation year 2025. Accessed 2026-11-03.back
  40. 20Lawrence Livermore National Laboratory (ed.), Achieving Fusion Ignition, National Ignition Facility page (ignition reached on 5 December 2022). LLNL, Livermore. Page read. Observation year 2022. Accessed 2026-11-03.back
  41. 22RCSB Protein Data Bank (ed.), Current holdings, list of entry identifiers (262,922 entries counted by the editors on the access date). Research Collaboratory for Structural Bioinformatics. Observation year 2026. Accessed 2026-11-03.back
  42. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03.back
  43. 12Varadi, M. et al., AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences, Nucleic Acids Research 52 (database issue), 368 to 375, 2024 (abstract read through Europe PMC). Oxford University Press, Oxford. Observation year 2024. Accessed 2026-11-03.back

The 2027 agenda

Eight bounded questions open the 2027 science and engineering agenda. Each comes from a baseline finding, names the initiative that will carry it and the first output due in the 2027 science and engineering edition.

5 min read0 figures6 tables3 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

7.1Questions for the operational series

  1. F-01

    How would a loss of trust in the research record during a fast-moving emergency travel through health advice, markets and public debate?

    INI-GS15-INT-01 · research integrity signals; first output: concurrency analysis for four information channels.

  2. F-02

    Where do research capacity and compute concentrate, and which regions fall below any usable threshold?

    INI-GS15-CAP-02 · research capacity and compute atlas; first output: capacity table by regional group.

  3. F-03

    How much of the literature is open, replicated and reusable, by field?

    INI-GS15-OPN-03 · open data and replication; first output: field-level open and replication table.

  4. F-04

    Which large facilities have long lead times, single funders or single sites?

    INI-GS15-FAC-04 · large-facility register; first output: register of facilities with cost and schedule.

  5. F-05

    Where does dual-use life science research have governance in practice, not only in guidance?

    INI-GS15-BIO-05 · dual-use governance map; first output: instrument and practice overlay.

  6. F-06

    Which retraction and paper-mill signals can be read on a common basis across publishers?

    To be admitted in 2027; first output: data-sharing scoping note.

  7. F-07

    How do researcher mobility and visa rules change who can work at the frontier?

    To be admitted in 2027; first output: scoping note.

  8. F-08

    Which science capabilities have been tested in real shortfalls, and which are only planned?

    Science capability register; first output: rung evidence for 15 functions.

7.2Portfolio proposed for the Q1 2027 alignment

Five initiatives and one Universe mission candidate are proposed for the 2027 science and engineering portfolio. They are programme objects: no partner, funder or member is attached to them in this edition.

Table 7.1Objects proposed for the first operational quarter
IDObjectKindQuestionState
INI-GS15-INT-01Research integrity signalsInitiativeF-01PROPOSED
INI-GS15-CAP-02Research capacity and compute atlasInitiativeF-02PROPOSED
INI-GS15-OPN-03Open data and replicationInitiativeF-03PROPOSED
INI-GS15-FAC-04Large-facility registerInitiativeF-04PROPOSED
INI-GS15-BIO-05Dual-use governance mapInitiativeF-05PROPOSED
MSN-GS15-2027-01Trust shock in the research record Universe missionMissionF-01Candidate

7.3The pathway

The science and engineering edition reads national science chapters, regional research-capacity evidence and the global edition through one governed evidence graph. At baseline the federation is designed; the Canada and global science chapters are drafted. This page states what exists today and what comes next.

  1. 01

    National science chapters

    research system of each national edition

    DRAFTED · further national baselines

  2. 02

    Regional capacity evidence

    shared facilities, networks and funders

    PLANNED · regional Baseline Editions

  3. 03

    Science and engineering sector model

    the global research system of systems

    v0 SPECIFIED · v1 with federation evidence

  4. 04

    Global and strategic links

    GLB · SR-13 Strategic Technology Infrastructure and Sovereign Readiness · XT-02 Quantum Technologies · XT-07 HPC and Advanced Computing

    PLANNED · strategic and technology baselines

  5. 05

    Universe

    annual proving environment

    CANDIDATE MISSION · mandate in 2027

  6. 06

    Global Science and Engineering Frontier Report

    this series

    BASELINE DRAFT · 2027 annual edition

  7. 07

    Evidence and correction

    one graph, many projections

    OPEN · first correction cycle in 2027

7.4Universe 2027: evidence pack for the science and engineering candidate mission

  1. 01

    Mandate

  2. 02

    Core Build · 1 month

  3. 03

    Action · 1 week

  4. 04

    Evidence seal

  5. 05

    Portfolio correction

  6. 06

    Next mandate

Table 7.2Universe 2027: evidence pack for the science and engineering candidate mission
ItemRecordStateTiming
F1Annual mandate recordPLANNEDafter the Q2 2027 alignment
F2Core Build recordPLANNEDone month before the exercise
F3Exercise evidencePLANNEDduring the Action week
F4Decision packetsPLANNEDexercise state only
F5Proof receiptsPLANNEDscoped to each recorded check
F6After-action reportPLANNEDwithin one quarter
F7Upgrade docketPLANNEDrouted to the Portfolio
F8Portfolio renewalPLANNED2027 global annual edition
F9Public synthesisPLANNEDpublic-safe extracts only

Mission

ID
MSN-GS15-2027-01 · Trust shock in the research record Universe mission
Role spine
Leadership sponsor · Institutional anchor · Mission lead: drawn from national pathways
Receiving actors
to be identified with the mandate

7.5Handoffs and routing

Where the baseline’s findings go next. A handoff routes a finding for awareness, review or work; it transfers no authority.

Table 7.3Handoffs and routing
FindingRouted toPurposeClass
FIN-001 · R&D expenditurepublic recordreference for the 2027 seriesPUBLIC
DAT-003 · researcher densityINI-GS15-CAP-02research capacity and compute atlasPUBLIC
GOV-005 · retraction noticesINI-GS15-INT-01 · key F reviewresearch integrity signalsPUBLIC
AIC-006 · AI in scienceINI-GS15-OPN-03open data and replicationPUBLIC
INF-008 · exascale systemsINI-GS15-FAC-04large-facility registerPUBLIC
BIO-010 · data archivesINI-GS15-OPN-03open data and replicationPUBLIC
HLT-011 · dual-use frameworkINI-GS15-BIO-05dual-use governance mapPUBLIC
SYS-012 · compound pathwayMSN-GS15-2027-01Universe candidateCONSORTIUM
Table 7.4Routing rules by publication class
ClassWhere it goesWho can see it
PUBLICthe published edition and its evidence bundleanyone
CONSORTIUMgoverned rooms of the federationconsortium members under agreement
CONTROLLEDneed-to-know channelsnamed competent actors only

7.6Feeds and signal register

Table 7.5Feeds watched from 2027
FeedProducerLatencyFeeds into
Preprint submissionsarXivmonthlyDAT-003
Retraction notices and article countsCrossrefcontinuousGOV-005
Researchers and R&D intensityUNESCO Institute for StatisticsannualDAT-003
TOP500 listTOP500 projecttwice a yearINF-008
Structure archive holdingsRCSB Protein Data BankweeklyBIO-010
Occurrence recordsGBIFcontinuousBIO-010
AI Index dataStanford HAIannualAIC-006

Escalation routes

  • none · keep monitoring
  • research question
  • project
  • risk object
  • annual publication
  • signal report
Table 7.6Signals at baseline
IDSignalCorroborationSystemsRoute
SIG-GS15-001Retraction notices registered fell after the 2023 peak6CORROBORATEDGOV · DATresearch question F-01
SIG-GS15-002Five exascale systems on the TOP500 list4CORROBORATEDINF · AICinitiative F-02
SIG-GS15-003AI share of research output rising9PARTIALAIC · DATresearch question F-03

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  2. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  3. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back

Systems in depth

One section per system: its state at evidence close, its exposures and what the operational series will watch.

8 min read0 figures5 tables18 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

8.1Science and health

Health depends on discovery: structures, trials, treatments and the rules that govern risky research. The 2023 genome-editing authorisation and the open structure archives show the link; the WHO framework shows the governance side.

214million

predicted protein structures in the AlphaFold database, 202412

8 Dec2023

first FDA authorisation of a novel genome-editing treatment17

174pages

WHO framework on dual-use life science research, 202218

Table 8.1State at baseline
ComponentStateEvidenceStatus
Structure predictiona diffusion-based model predicts complexes of proteins, nucleic acids, ligands and ions11Reported
Predicted structuresover 214 million sequences covered by the database12Reported
Genome editingfirst cell-based therapies for sickle cell disease, one using genome editing17Reported
Dual-use governancevalues, principles and tools for Member States and research institutions18Reported

Couplings

  • BIO → HLT sequences and structures
  • DAT → HLT open archives
  • GOV → HLT dual-use governance

Evidence to bind in 2027

  • dual-use governance in practice
  • time from discovery to access in low-income regions

Related editions

  • GLB Global Systems
  • GS-04 Health and One Health
  • GS-12 Earth Observation and Planetary Intelligence
  • GS-13 Cyber and Digital Systems
  • GS-14 Policy, Institutions and Governance
  • XT-02 Quantum Technologies

8.2Science and nature

Nature is measured through shared archives of records and structures. Their size is a strength, and their coverage and bias are the open questions.

3.89billion

GBIF occurrence records at access23

306million

GBIF records dated 202523

262,922entries

Protein Data Bank holdings at access22

Table 8.2State at baseline
ComponentStateEvidenceStatus
Species recordsoccurrence records published through one open network23Reported
Structure archiveexperimental structures held in one open archive22Reported
Predicted structuresmodel predictions integrated with primary databases12Reported
Coverage and biasrecord density by place and taxon not consolidated here23Expert input

Couplings

  • DAT → BIO open records
  • AIC → BIO structure models
  • BIO → DAT new sequences and records

Evidence to bind in 2027

  • spatial and taxonomic bias of records
  • reuse of archives in decisions

Related editions

  • GLB Global Systems
  • GS-04 Health and One Health
  • GS-12 Earth Observation and Planetary Intelligence
  • GS-13 Cyber and Digital Systems
  • GS-14 Policy, Institutions and Governance
  • XT-02 Quantum Technologies

8.3Science, compute and the digital layer

The frontier is increasingly computational. Exascale machines, quantum memories and AI systems change who can do what, and how fast the record grows.

5systems

exascale on the TOP500 list, June 20264

6months

doubling time of training compute since the early 2010s13

2.14factor

logical error suppression per step in code distance10

Table 8.3State at baseline
ComponentStateEvidenceStatus
Exascale systemsLineShine 2.198 Eflop/s; El Capitan 1.809; Frontier 1.353; Aurora 1.012; JUPITER Booster 1.0004Reported
Training computedoubling about every six months in the deep learning era, to 202213Reported
Quantum memorya 101-qubit distance-7 code, 0.143% error per cycle, 2.4 times beyond break-even10Reported
AI in researchagents reach 38.8% against 83.5% for PhD experts on a research-task benchmark9Reported

Couplings

  • INF → AIC compute
  • AIC → DAT research output
  • INF → DAT quantum and exascale methods

Evidence to bind in 2027

  • private compute not on the list
  • confirmed AI discoveries

Related editions

  • GLB Global Systems
  • GS-04 Health and One Health
  • GS-12 Earth Observation and Planetary Intelligence
  • GS-13 Cyber and Digital Systems
  • GS-14 Policy, Institutions and Governance
  • XT-02 Quantum Technologies

8.4Science, finance and talent

Money and people decide where the frontier is. Spending and researcher density are both concentrated, and mobility is changing who works where.

3.48USD trillion

global R&D expenditure, 20241

354USD billion

worldwide venture investment, 20241

89%

fall since 2017 in AI researchers moving to the United States8

Table 8.4State at baseline
ComponentStateEvidenceStatus
Public and business R&DChina 30%, United States 29%, EU-27 18% of global spending1Reported
Venture investmentUSD 354 billion in 2024, about half the 2021 peak of USD 694 billion1Reported
Public programmesHorizon Europe indicative funding of EUR 93.5 billion for 2021 to 202724Reported
Talent mobilitytemporary visa holders earned 38% of US S&E doctorates in 20241Reported

Couplings

  • FIN → DAT funding and capacity
  • TRD → DAT mobility
  • FIN → AIC private AI investment

Evidence to bind in 2027

  • funding changes in 2025 and 2026
  • mobility outside the United States

Related editions

  • GLB Global Systems
  • GS-04 Health and One Health
  • GS-12 Earth Observation and Planetary Intelligence
  • GS-13 Cyber and Digital Systems
  • GS-14 Policy, Institutions and Governance
  • XT-02 Quantum Technologies

8.5Integrity, openness and governance

The record is shared infrastructure. Retractions, paper mills and low replication strain it, and open science and AI ethics recommendations set the rules around it.

15,582notices

retraction notices registered with Crossref, 20236

36%

of 100 psychology replications significant, against 97% of originals16

193countries

Member States that adopted the UNESCO open science recommendation25

Table 8.5State at baseline
ComponentStateEvidenceStatus
Retraction notices1,678 in 2015; 15,582 in 2023; 7,632 in 20256Reported
Paper millscase studies show brokers and mills enabling fraud at scale14Reported
Replicationreplication effects half the size of the originals in 100 psychology studies16Reported
Open science and AI ethicstwo UNESCO recommendations adopted in 20212526Reported

Couplings

  • AIC → DAT → GOV integrity
  • GOV → DAT recommendations
  • DAT → HLT reliance on the record

Evidence to bind in 2027

  • share of the record affected
  • open-access share

Related editions

  • GLB Global Systems
  • GS-04 Health and One Health
  • GS-12 Earth Observation and Planetary Intelligence
  • GS-13 Cyber and Digital Systems
  • GS-14 Policy, Institutions and Governance
  • XT-02 Quantum Technologies

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 12Varadi, M. et al., AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences, Nucleic Acids Research 52 (database issue), 368 to 375, 2024 (abstract read through Europe PMC). Oxford University Press, Oxford. Observation year 2024. Accessed 2026-11-03.back
  2. 17US Food and Drug Administration (ed.), FDA Approves First Gene Therapies to Treat Patients with Sickle Cell Disease, press announcement of 8 December 2023. FDA, Silver Spring. Page read. Observation year 2023. Accessed 2026-11-03.back
  3. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03.back
  4. 11Abramson, J. et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3, Nature 630, 493 to 500, 2024 (abstract and open full text read through Europe PMC). Springer Nature, London. Observation year 2024. Accessed 2026-11-03.back
  5. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03.back
  6. 22RCSB Protein Data Bank (ed.), Current holdings, list of entry identifiers (262,922 entries counted by the editors on the access date). Research Collaboratory for Structural Bioinformatics. Observation year 2026. Accessed 2026-11-03.back
  7. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  8. 13Sevilla, J. et al., Compute Trends Across Three Eras of Machine Learning, arXiv 2202.05924, 2022 (abstract page read). Cornell University, Ithaca. Observation year 2022. Accessed 2026-11-03.back
  9. 10Google Quantum AI and collaborators, Quantum error correction below the surface code threshold, arXiv 2408.13687 (full text opened) and Nature 638, 920 to 926, 2024. Observation year 2024. Accessed 2026-11-03.back
  10. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  11. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  12. 8Stanford HAI (ed.), The 2026 AI Index Report, overview page with the ten top takeaways. Stanford Institute for Human-Centered AI, Stanford. Page read; the report PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  13. 24European Commission (ed.), Horizon Europe, programme page (indicative funding of EUR 93.5 billion for 2021 to 2027 after the mid-term review). European Commission, Brussels. Page read. Observation year 2026. Accessed 2026-11-03.back
  14. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  15. 16Open Science Collaboration, Estimating the reproducibility of psychological science, Science 349(6251), aac4716, 2015 (abstract read through Europe PMC; full text not opened). American Association for the Advancement of Science, Washington. Observation year 2015. Accessed 2026-11-03.back
  16. 25UNESCO (ed.), UNESCO Recommendation on Open Science, 2021, programme page (193 Member States). UNESCO, Paris. Page read; the Recommendation text itself returned an access error. Observation year 2021. Accessed 2026-11-03.back
  17. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back
  18. 26UNESCO (ed.), Recommendation on the Ethics of Artificial Intelligence, November 2021, programme page (193 Member States). UNESCO, Paris. Page read; the text itself was not opened. Observation year 2021. Accessed 2026-11-03.back

Methodology

How the edition was made: methods, the model card, the evidence cut and its age, the acceptance record and the glossary.

12 min read0 figures13 tables11 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

A.1Methods

The global baseline uses published values and four simple derivations. Each is shown in full so that any reader can reproduce it.

Table A.1Methods
No.DerivationCalculationResult
(1)Growth in journal articles registered with Crossref, 2015 to 20256,673,658 ÷ 3,345,563≈2.0 times
(2)Growth in arXiv submissions, 2015 to 2025284,486 ÷ 105,280≈2.7 times
(3)Retraction notices per 100,000 journal articles registered, 2015 and 20251,678 ÷ 3,345,563 and 7,632 ÷ 6,673,658≈50 and ≈114
(4)Researcher density, Northern America against Sub-Saharan Africa, 20235,006 ÷ 88≈57 times
Table A.2Coupling strength scale (matrix and model card)
StrengthDefinition
STRONGa disruption in the source system has historically changed the target system’s service or output within one season, in more than one region
MODERATEan effect is documented but buffered or slower
WEAKan effect is plausible but not documented at global scale
Table A.3Status grammar
LabelRule
Reportedvalue as issued by its source, with year
Inferredreasoned from cited evidence; never a measurement
EstimatedNexus analytical value with stated method
Scenarioconditional on stated assumptions
Expert inputstructured editorial judgement awaiting evidence

A.2Model card, Science and Engineering Sector Model v0

Model ID
MDL-GS15-SCIENCE · v0.1
Purpose
represent the global science and engineering system and its couplings to health, food, nature and the digital layer
Family
graph-based system of systems
Inputs
the cited sources of this edition; no proprietary data
Method
expert-specified coupling strengths (STRONG · MODERATE · WEAK) from assessments and analogue events
Validation
none yet, first validation against federation evidence in 2027
Uncertainty
qualitative; strengths are hypotheses, not measurements
Domain of validity
global scale; not for asset-, site- or country-level use
Reproducibility
strength table and sources published in this edition
20couplings

typed in v0

2strong

documented within one season

7moderate

documented, buffered

11weak

plausible, undocumented

A.3The baseline evidence cut

Every Nexus edition is published from a frozen evidence cut. The global baseline cut is documentary: it pins the exact edition of every source cited. Federation cuts begin with the first national Foundry cuts in 2027.

Cut ID
DC-SECTOR-SCIENCE-GLOBAL-2026-B0
Type
baseline documentary cut
Resolution policy
pinned · as of 30 September 2026
Sources pinned
44 cited sources, each at the edition and access date in the references
Model runs
none at baseline, analytical values are stated with their method
Digest
computed at freeze and recorded in the publication record
Supersedes
nothing, first cut of the series
Superseded by
the 2027 science and engineering annual cut

Lineage

  1. 01

    source edition

  2. 02

    pinned citation

  3. 03

    finding

  4. 04

    page

  5. 05

    publication record

Table A.4From the baseline cut to the federation cut
ElementBaseline 20262027 global annual
Sourcescited global publications, pinned by editionnational, regional and sector cuts through one graph
Analysisstated methods and editorial estimatestyped analysis specifications
ModelsScience and Engineering Sector Model v0 specificationmodel runs with receipts
Findingstwelve baseline findingsfindings re-bound to federation evidence
Reviewfive passes scheduledfive passes on the exact digest

A.4Evidence age and coverage

A 2026 global edition rests on evidence observed in many different years. This page shows each time base, so that no single year label hides older evidence.

Table A.5Evidence age and coverage
IndicatorObservedReleasedCadenceNext release
R&D expenditure and shares2024May 2026biennialnext NSB indicators
Researchers and intensity2023Feb 2026 releaseannualnext UNESCO release
Publication output2024May 2026annualnext NSB indicators
Retraction notices2025live at accesscontinuouscontinuous
Preprint volume2025live at accessmonthlymonthly
AI in science2025Apr 2026annualAI Index 2027
Exascale systems2026Jun 2026twice a yearNov 2026 list
Structure and species archives2026live at accesscontinuouscontinuous
Quantum error correction2024Dec 2024one-offfollow-up papers
Dual-use framework20222022one-offrevision not announced
Table A.6Coverage by system at baseline
SystemCoverageThinnest dimension
FundingGOODbasis differences between issuers
PeoplePARTIALresearcher counts outside advanced economies
OutputGOODopen-access and reuse rates
IntegrityPARTIALincidents on a common basis
AI and computePARTIALconfirmed discoveries; private compute
InstrumentsPARTIALcosts and schedules beyond a few projects
Data archivesGOODcoverage bias of records
Research securityTHINincident data not published
Table A.7Designed empty states: what is not bound, what would fill it and why
FieldSource that would fill itBlocker
Reconciliation of world R&D intensity: UNESCO 1.92% and World Bank 2.60% for 2023UNESCO Institute for Statistics2; World Bank3; OECD Frascati Manual39the two series use different coverage and weighting; method notes were not opened
Researcher density on one basis for 2020: World Bank 1,652 and UNESCO 1,340 per millionWorld Bank3; UNESCO Institute for Statistics2issuers differ and were not reconciled in this edition
Share of the literature that is fraudulent or unreliablepublisher integrity units; retraction databases; PNAS case studies14no consolidated database was opened; Crossref notices count notices, not affected papers
Replication rates outside psychologyOpen Science Collaboration16; Baker survey34the one opened study covers psychology only; the survey article is behind a subscription
Open-access share of the global literatureUNESCO open science monitoring; open bibliographic indexesthe index used for counts returned a rate-limit error; no figure is used
Count of experimentally confirmed AI discoveriesStanford HAI AI Index 2026, Science chapter9; Co-Scientist27the chapter states that the list is short but gives no count
Quantum computing progress beyond one error-correction experimentpeer-reviewed papers on other platformsnot retrieved; the one opened result is not generalised
Fusion experiments after the 2022 ignition result and the schedule of large fusion devicesoperator and project publicationsthe project schedule page was not accessible; only the 2022 result page was opened
Cost and schedule of large facilities other than the Future Circular Collider studynational roadmaps and facility operatorsnot retrieved
Research funding changes in 2025 and 2026 by countrynational budget documents; fundersnot retrieved; the NSB indicators cover obligations to FY 2024
Women in engineering and in AI researchUNESCO Institute for Statistics; national statistics officesthe opened series covers all researchers only
Research security incidents on a common basisnational authorities; institutionsincident data are not published on a common basis
TOP500 list of November 2026TOP500 project4release after the evidence close; the June 2026 list is cited
Peer-review capacity and reviewer loadpublishers; learned societiesno consolidated series found at evidence close
Capability rungs beyond open archives and computefunders, institutions, regulatorsnot reviewed

A.5Evidence cards, two anchor sources

Issued by the US National Science Board with NCSES in May 2026 from OECD and national R&D data and Scopus bibliometrics. Biennial. Role: binds FIN-001 and TRD-004. Some data are preliminary.

EVD-GS15-001

NSB Indicators 2026: State of U.S. S&E1

Compiled by UNESCO from national R&D surveys, February 2026 release (data version of May 2026). Annual. Role: binds FIN-002, DAT-003 and the capacity tiles. Regional values are aggregates.

EVD-GS15-002

UNESCO Institute for Statistics data2

Table A.8Quality dimensions at baseline
DimensionEVD-GS15-001EVD-GS15-002
CompletenessOECD and select non-OECD economies; Scopus coveragenational surveys; aggregates depend on coverage
Timelinessabout 17 months after the yearabout 26 months after the year
Revisiontotals may be revised as national data arrivevalues revised at each release
Method transparencytechnical documentation publishedindicator metadata published
External validationcompared with OECD seriesnational statistical review

Evidence cards to follow in 2027

  • Crossref6: retraction notices by publisher and reason
  • UNESCO2: national series behind the regional values
  • AI Index9: data tables behind the science chapter
  • TOP5004: November 2026 list and country totals

A.6Publication acceptance record

Editorial self-check at evidence close. Every applicable item carries a disposition; the remaining items are review, approval and deposit.

Table A.9Publication acceptance record
GroupAreaItemsPassN/APending
D1Identity and scope8800
D2Source and data12912
D3Analysis and models12381
D4Findings and claims9801
D5Figures, tables, maps10622
D6Editorial and citations10802
D7Review and approval130013
D8Artefact and design12705
D9Registry and release9009

Publication gate

Conditions met
14 of 23 at evidence close
Blocking problems
none recorded
Open conditions
reviews, approval of the exact digest, deposit, registry pointer

Not applicable at baseline

Model runs
first runs in Q1 2027
Maps
plates in Q2 2027
Waivers
none

A.7Status words

Table A.10The status every value carries
StatusWhat it means
ObservedMeasured directly and published by the source.
ReportedPublished statistics of an official or institutional source.
DeclaredStated by the body concerned; not independently measured.
EstimatedA Nexus estimate from cited evidence, with its method in Annex A.
ModelledProduced by a stated model from cited inputs.
InferredReasoned from cited evidence; not measured.
ForecastA projection by the cited source.
SimulatedA simulation result under stated assumptions.
ScenarioA conditional statement under stated assumptions; never a prediction.
Expert inputExpert judgement, recorded with its basis.
CandidateProposed for a later edition; not yet evidence.
Evidence-quality levels (EQL 1 to 5) grade the source behind a value; they are not a score of the subject.

A.8How the edition is made, released and corrected

Every edition is built from a sealed evidence cut, reviewed under three keys, signed and deposited before any site shows it as published; corrections go to Nexus Standards as change proposals and feed the next cut.

StepWhat happensSource
01 Evidence arrives from the pillarsFoundry seals observations and indicator series, Universe hands over after-action and scenario findings, and contributions are screened at every gateway, including this site’s.
02 The cut is sealedOn the cut date the evidence is pinned under one identifier, so anyone can rebuild the edition from exactly what it was built on.
03 The edition is assembledThe edition is drafted from its template and content pack. Agents may draft; they never publish and never decide.
04 The keys turnAt the publisher of record the truth key comes first: every value is checked against its source or stated method before the meaning and capital keys turn. No edition moves on until every key has been turned by a named steward.
05 The gate opensA named approver releases one exact digest of the edition; any change after this point is a new version, never a silent edit.
06 Signed and depositedThe PDF, the web edition and the data bundle are signed together with a manifest and an RO-Crate description, and deposited on Zenodo with a concept and a version DOI.
07 Published on its desk’s siteOnly then does the edition show as published on its desk’s Reports site, and the Collection lists it as a part.
08 Corrections go to StandardsMethod and correction findings go to Nexus Standards as change proposals; citations, corrections and new contributions feed the next evidence cut.

A teaching model of the process, not a forecast and not a record of any run; dates and counts on this page come from the programme record. Sources: Reports governance at GCRI Canada (2026); Zenodo, repository of record for Reports deposits (2026).

Lifecycle, one state at a time: Draft, Computed, Evidence bound, Reviewed, Approved for release, Published, Corrected, Superseded. This edition is a draft.

A.9Glossary and abbreviations

Table A.11Series terms
TermMeaning
Baseline Editionthe inaugural annual edition that fixes the reference state for the series
WEFH+Bscience and engineering, energy, food, health and biodiversity, the national nexus core
Couplinga typed dependency through which one system transmits to another
Protection gapthe share of losses not covered by insurance
Capability ladderLISTED → EXISTS → ADEQUATE → TESTED → DEMONSTRATED
EQLevidence-quality level, 1–5
Evidence cuta frozen resolution of exact sources and versions
NNC · NLC · NWGNational Nexus Consortium · National Leadership Council · National Working Groups
Table A.12Abbreviations used in this edition
AbbreviationExpansion
AIartificial intelligence
arXivopen preprint server for physics, mathematics and computer science
CERNEuropean Organization for Nuclear Research
Eflop/sexaflop per second, 10 to the power 18 floating-point operations per second
FTEfull-time equivalent
GBIFGlobal Biodiversity Information Facility
GERDgross domestic expenditure on research and development
NCSESNational Center for Science and Engineering Statistics
NSBNational Science Board
PDBProtein Data Bank
PPPpurchasing power parity
R&Dresearch and development

A.10Technical annex

Table A.13Technical annex
ItemAnnexContentsStatus
A.1Indicator definitionsthe global indicator set, with units and sourcesIN THIS EDITION
A.2Coupling strengthsthe twenty-cell matrix and its rationaleIN THIS EDITION
A.3Scenario specificationSCN-GS15-INT-01 assumptions and signpostsIN THIS EDITION
A.4Capability placementsrung evidence for fifteen functionsIN THIS EDITION
A.5Model diagnosticsfirst runs and validation2027
A.6Sensitivity analysesinfluence of coupling strengths2027
A.7Facility and archive notescards for the major shared facilities and archivesWITH REGIONAL EDITIONS
A.8Review statementspass-by-pass review recordAT RELEASE

A.1 · indicator definition: researchers per million inhabitants

Construct
full-time equivalent researchers engaged in R&D, per million inhabitants
Unit
researchers per million people
Method
issuer indicator based on national R&D surveys; regional aggregates
Source
UNESCO Institute for Statistics, February 2026 data release2
Uncertainty
aggregates depend on national coverage and the World Bank series differs
Known limits
measures headcount in effort, not quality, equipment or freedom to publish

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  2. 3DATA VINTAGE AFTER CLOSE: World Bank (ed.), World Development Indicators API (series updated 2026-10-08, after the 30 September evidence close; cited as the position at access): GB.XPD.RSDV.GD.ZS, SP.POP.SCIE.RD.P6, IP.JRN.ARTC.SC, IP.PAT.RESD, IP.PAT.NRES, world values. World Bank, Washington. Data pulled and read. Observation year 2023 (patents 2024, researchers 2020). Accessed 2026-11-03.back
  3. 39UNVERIFIED, not opened: OECD (ed.), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, cited from memory. OECD Publishing, Paris. Observation year 2015. Accessed 2026-11-03.back
  4. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03.back
  5. 16Open Science Collaboration, Estimating the reproducibility of psychological science, Science 349(6251), aac4716, 2015 (abstract read through Europe PMC; full text not opened). American Association for the Advancement of Science, Washington. Observation year 2015. Accessed 2026-11-03.back
  6. 34UNVERIFIED, not opened: Baker, M., 1,500 scientists lift the lid on reproducibility, Nature 533, 452 to 454, 2016; the article is behind a subscription and only its bibliographic record was checked. Springer Nature, London. No figure from it is used. Observation year 2016. Accessed 2026-11-03.back
  7. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  8. 27Gottweis, J. et al., Accelerating scientific discovery with Co-Scientist, arXiv 2502.18864 (version 2, 2026; abstract read through the arXiv API). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  9. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  10. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  11. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back

Data appendix

The indicator set with its sources, the source registers, the licences of every kind of material and the formats of the edition.

9 min read0 figures8 tables13 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

B.1The indicator set

Table B.1Global baseline indicator set
IndicatorValueUnitYearStateSource
Global R&D expenditure3.48USD trillion2024Reported1
R&D expenditure, China1.028USD trillion2024Reported1
R&D expenditure, United States1.009USD trillion2024Reported1
R&D intensity, world (UNESCO)1.92% of GDP2023Reported2
R&D intensity, world (World Bank)2.60% of GDP2023Reported3
R&D intensity, Sub-Saharan Africa0.38% of GDP2023Reported2
Researchers per million, world1,486per million2023Reported2
Researchers per million, Sub-Saharan Africa88per million2023Reported2
Researchers per million, Northern America5,006per million2023Reported2
Women among researchers (headcount)31.4%2023Reported2
Scientific articles worldwide3.5million2024Reported1
Articles with international co-authors22%2024Reported1
Patent applications by residents2,702,600applications2024Reported3
Patent applications by non-residents1,022,400applications2024Reported3
arXiv submissions284,486submissions2025Reported5
Journal articles registered with Crossref6,673,658works2025Reported6
Retraction notices registered with Crossref7,632notices2025Reported6
Exascale systems on the TOP500 list5systems2026Reported4
Objects launched into outer space4,510objects2025Reported21
Protein Data Bank entries262,922entries2026Reported22

B.2Global source register

The governed source set behind this edition. Each source keeps its authority, coverage, cadence and role; categories describe origin, not truth.

Domains bound by the register

  • FIN
  • DAT
  • TRD
  • GOV
  • AIC
  • INF
  • BIO
  • HLT
  • MIN
  • CLI
Table B.3Global source register
SourceCategoryCoveragePeriodCadenceRole
NSB Indicators 20261national statistics agencyglobal and US2024biennialR&D, output, talent
UNESCO Institute for Statistics2UN agencyglobal2023annualcapacity
World Bank indicators3intergovernmental agencyglobal2023 to 2024annualR&D, articles, patents
TOP500 list4research projectglobal2026twice a yearexascale
arXiv statistics5preprint serverglobal2025monthlypreprint volume
Crossref API6DOI registration agencyglobal2025continuousintegrity, volume
AI Index Report 20268university instituteglobal2025annualAI and compute
RCSB Protein Data Bank22open archiveglobal2026weeklystructures
GBIF23open data networkglobal2026continuousspecies records
WHO guidance framework18UN agencyglobal2022one-offdual-use research

B.3Regional reading: science and engineering across ten clusters

Map plates follow with the regional Baseline Editions, when boundary sources and public-safe resolutions are bound. This page gives the regional reading in table form and ranks no region.

Table B.4Regional reading: science and engineering across ten clusters
RegionPrincipal hazardsSystems most exposedBaseline evidence
North Americalargest researcher density; business-led R&Duniversities, industry, national laboratoriesresearchers per million2; US R&D share 29%1
South Americalow R&D intensity; growing outputuniversities, public institutesR&D intensity 0.57% for Latin America and the Caribbean2
Europepublic programmes; shared facilitiesuniversities, CERN, EuroHPCHorizon Europe24; JUPITER Booster4
Eurasiaregional data thin in the sources openedacademies, institutesregional statistics (not bound)
Middle East and North Africarising intensity in Northern Africa and Western Asiauniversities, new institutesR&D intensity and density2
Africalowest researcher densityuniversities, networksSub-Saharan Africa 88 per million2
South Asialarge output growth; low densityuniversities, institutesIndia 7% of articles1; density 3472
East Asiafastest rise in spending and outputindustry, universities, national centresChina 30% of R&D1; LineShine4
ASEANrising intensity from a low baseuniversities, industrySouth-Eastern Asia 1.03%2
Oceania-Pacifichigh density in Australia and New Zealand; thin in islandsuniversities, observatoriesdensity in Australia and New Zealand2

B.4Facility card: Future Circular Collider study

  • facility
  • accelerator
  • long-lead
  • international
Systems in view
research infrastructure, civil engineering, funding, data
Defining events
feasibility study published in spring 202519
Couplings
INF → DAT data; INF → FIN cost; FIN → INF schedule
Capability evidence
a four-year study with national authorities and a preferred layout chosen from about 100 variants19
Gaps
funding commitments; competing proposals
Agenda items
F-04

The proposed ring has a circumference of 91 km and the estimated cost with four interaction points is CHF 15 billion over about 12 years [19].

SCALE

Ring and cost

Siting follows geology, connection to existing accelerators and social and environmental limits, with about one third of the cost in civil engineering [19].

SITING

Civil engineering

The study feeds the European Strategy for Particle Physics under the mandate of the CERN Council; this edition takes no view on the decision [19].

DECISION

Staged process

B.5How countries appear in the science and engineering edition

Countries enter the science and engineering edition through the research chapters of their own national editions, on one card grammar. They are read against peer distributions and thresholds, never ranked.

Table B.5How countries appear in the science and engineering edition
Card fieldWhat it showsSource
WEFH+B stateeach core system against peer distribution bandsnational edition
Couplingsthe national dependency matrixnational edition
Risk objectsthe national risk portfolionational edition
Capability rungsthe national capability laddernational edition
Evidence ageoldest and newest source datesnational source register

Editions in the 2026 Baseline programme

26national

countries and unions

10regional

clusters

16global

flagship and sector

14strategic

systems reports

20frontier

technology reports

How to read a country card

  • Each system is shown against the distribution of its peers, with thresholds where they exist
  • Couplings and risk objects come from the country’s own national edition
  • Capability rungs record evidence, not a judgement of institutions
  • Evidence age is printed, so older national data are visible as such
Table B.6National Baseline Editions in the 2026 programme
WaveCountries and unionsState
W0CanadaISSUED
W1United States, United Kingdom, France, Germany, Italy, Japan, European Union, SwitzerlandPLANNED
W2Mexico, Brazil, Argentina, Türkiye, Russian Federation, Saudi Arabia, United Arab Emirates, South Africa, Senegal, Kenya, African Union, India, China, Republic of Korea, Indonesia, Singapore, AustraliaPLANNED

B.6Licences

Table B.7Licences of each kind of material
MaterialLicence
TextCC BY 4.0
Dataon the licence of each source; Nexus tables CC BY 4.0
FiguresNexus figures CC BY 4.0; third-party as credited
Mapsboundary source and licence printed on each plate
MetadataCC0 1.0, as Zenodo publishes it
Third-party data, figures and textThe source’s own licence, credited where it is used; never relicensed
Nexus-authored text, tables and figures: CC BY 4.0 (SPDX CC-BY-4.0). Map plates print their boundary source and licence.

B.7Formats and provenance

Table B.8This edition in every format
FormatKindStateWhat it isIdentifier
Web editionHTMLOn this siteDraft in stewardship review; every value resolves to its source.NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-v1.0.0
Print editionPDFAt releaseA4 portrait · screen, print and archival PDF, signed with the web edition at release.NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-v1.0.0
Indicator dataCSV · JSONOn this site20 indicators with unit, year, status and source; the machine-readable copy ships with the evidence bundle at release.NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE data release v1
FiguresSVG · PNGOn this site4 on the web edition: headline figure, figure 1.3, coupling instrument, capability ladder.FIG-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-*
SlidesPDFNot recordedNo slide deck is recorded for this edition.
Evidence briefHTML · PDFNot recordedNo evidence brief is recorded for this edition.
Dataset with DOIDataCiteAt releaseConcept and version DOI are minted at deposit; none is recorded yet.

Provenance

Edition pack
The edition’s content pack (JSON), from which the print and web editions are built
Evidence cut
DC-SECTOR-SCIENCE-GLOBAL-2026-B0, closed 30 September 2026
Reproducibility
sourced values cited; analytical values reproducible from stated parameters
Self-check
14 of 23 at evidence close; a fail on any item blocks release
Review
five passes scheduled before release (in Annex C)
Publisher of record
GCRI for the Nexus Consortium
Corrections
Registry correction pathway; upheld corrections are published as notices with a new version

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03.back
  2. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03.back
  3. 3DATA VINTAGE AFTER CLOSE: World Bank (ed.), World Development Indicators API (series updated 2026-10-08, after the 30 September evidence close; cited as the position at access): GB.XPD.RSDV.GD.ZS, SP.POP.SCIE.RD.P6, IP.JRN.ARTC.SC, IP.PAT.RESD, IP.PAT.NRES, world values. World Bank, Washington. Data pulled and read. Observation year 2023 (patents 2024, researchers 2020). Accessed 2026-11-03.back
  4. 5POST-CLOSE, context only: arXiv (ed.), Monthly submissions statistics (monthly CSV, 1991 to November 2026; annual totals summed by the editors). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03.back
  5. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03.back
  6. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03.back
  7. 21Our World in Data (ed.), Yearly number of objects launched into outer space (data compiled from the UN Office for Outer Space Affairs, CSV read). Global Change Data Lab, Oxford. Observation year 2025. Accessed 2026-11-03.back
  8. 22RCSB Protein Data Bank (ed.), Current holdings, list of entry identifiers (262,922 entries counted by the editors on the access date). Research Collaboratory for Structural Bioinformatics. Observation year 2026. Accessed 2026-11-03.back
  9. 8Stanford HAI (ed.), The 2026 AI Index Report, overview page with the ten top takeaways. Stanford Institute for Human-Centered AI, Stanford. Page read; the report PDF was not opened. Observation year 2025. Accessed 2026-11-03.back
  10. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03.back
  11. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03.back
  12. 24European Commission (ed.), Horizon Europe, programme page (indicative funding of EUR 93.5 billion for 2021 to 2027 after the mid-term review). European Commission, Brussels. Page read. Observation year 2026. Accessed 2026-11-03.back
  13. 19CERN (ed.), Future Circular Collider, feasibility study page (results published in spring 2025: 91 km ring, estimated cost CHF 15 billion). CERN, Geneva. Page read. Observation year 2025. Accessed 2026-11-03.back

References and record

Every source the edition rests on, the publication record, the corrections log and the open record.

14 min read0 figures1 table0 notesNR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE

C.144 sources

NR-CIT-1, editor first. A DOI is linked where the source has one; Nexus records carry a UNI once the catalogue allocates it (NS-1).

  1. 1NSB (ed.), Science and Engineering Indicators 2026: The State of U.S. Science and Engineering (NSB-SEP-2026-1), May 2026, National Science Board and National Center for Science and Engineering Statistics, US National Science Foundation, Alexandria. Full PDF opened; global R&D, publications, collaboration, venture investment, semiconductor and doctoral-degree figures read from the text. Observation year 2024. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 3, chapter 4, chapter 6, chapter 8
  2. 2UNESCO Institute for Statistics (ed.), UIS data API, data version 20260507 (February 2026 data release): indicators EXPGDP.TOT, RESDEN.INHAB.TFTE and FRESP.THC, world and regional aggregates. UNESCO, Montreal. Data pulled and read. Observation year 2023. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 3, chapter 4, chapter 6
  3. 3DATA VINTAGE AFTER CLOSE: World Bank (ed.), World Development Indicators API (series updated 2026-10-08, after the 30 September evidence close; cited as the position at access): GB.XPD.RSDV.GD.ZS, SP.POP.SCIE.RD.P6, IP.JRN.ARTC.SC, IP.PAT.RESD, IP.PAT.NRES, world values. World Bank, Washington. Data pulled and read. Observation year 2023 (patents 2024, researchers 2020). Accessed 2026-11-03. Cited in the summary, chapter 2, chapter 6
  4. 4TOP500 project (ed.), TOP500 list, 67th edition, June 2026 (release text read in full for the leading systems). TOP500, Prometeus GmbH. Observation year 2026. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 3, chapter 4, chapter 6, chapter 7, chapter 8
  5. 5POST-CLOSE, context only: arXiv (ed.), Monthly submissions statistics (monthly CSV, 1991 to November 2026; annual totals summed by the editors). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 4, chapter 6
  6. 6Crossref (ed.), Crossref REST API, work counts by type and publication year and counts of retraction notices (update-type filter), queried live on the access date. Crossref, Oxford. Counts are subject to later registration. Observation year 2025 (series 2015 to 2025). Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 3, chapter 4, chapter 5, chapter 6, chapter 7, chapter 8
  7. 7bioRxiv (ed.), bioRxiv and medRxiv content detail API, new-paper counts for 2024 and 2025. Cold Spring Harbor Laboratory, Cold Spring Harbor. Observation year 2025. Accessed 2026-11-03. Cited in chapter 6
  8. 8Stanford HAI (ed.), The 2026 AI Index Report, overview page with the ten top takeaways. Stanford Institute for Human-Centered AI, Stanford. Page read; the report PDF was not opened. Observation year 2025. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 6, chapter 8
  9. 9Stanford HAI (ed.), The 2026 AI Index Report, Chapter 5 Science, chapter page with its highlights. Stanford Institute for Human-Centered AI, Stanford. Page read; the chapter PDF was not opened. Observation year 2025. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 3, chapter 4, chapter 6, chapter 7, chapter 8
  10. 10Google Quantum AI and collaborators, Quantum error correction below the surface code threshold, arXiv 2408.13687 (full text opened) and Nature 638, 920 to 926, 2024. Observation year 2024. Accessed 2026-11-03. Cited in the summary, chapter 2, chapter 6, chapter 8
  11. 11Abramson, J. et al., Accurate structure prediction of biomolecular interactions with AlphaFold 3, Nature 630, 493 to 500, 2024 (abstract and open full text read through Europe PMC). Springer Nature, London. Observation year 2024. Accessed 2026-11-03. Cited in chapter 1, chapter 3, chapter 4, chapter 6, chapter 8
  12. 12Varadi, M. et al., AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences, Nucleic Acids Research 52 (database issue), 368 to 375, 2024 (abstract read through Europe PMC). Oxford University Press, Oxford. Observation year 2024. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 6, chapter 8
  13. 13Sevilla, J. et al., Compute Trends Across Three Eras of Machine Learning, arXiv 2202.05924, 2022 (abstract page read). Cornell University, Ithaca. Observation year 2022. Accessed 2026-11-03. Cited in chapter 1, chapter 2, chapter 6, chapter 8
  14. 14Richardson, R.A.K. et al., The entities enabling scientific fraud at scale are large, resilient, and growing rapidly, Proceedings of the National Academy of Sciences 122(32), 2025 (abstract and open full text record read through Europe PMC). National Academy of Sciences, Washington. Observation year 2025. Accessed 2026-11-03. Cited in the summary, chapter 1, chapter 2, chapter 4, chapter 5, chapter 6, chapter 8
  15. 15Park, M., Leahey, E. and Funk, R.J., Papers and patents are becoming less disruptive over time, Nature 613, 138 to 144, 2023 (abstract read through Europe PMC; full text not opened). Springer Nature, London. Observation year 2023. Accessed 2026-11-03. Cited in chapter 6
  16. 16Open Science Collaboration, Estimating the reproducibility of psychological science, Science 349(6251), aac4716, 2015 (abstract read through Europe PMC; full text not opened). American Association for the Advancement of Science, Washington. Observation year 2015. Accessed 2026-11-03. Cited in chapter 1, chapter 4, chapter 6, chapter 8
  17. 17US Food and Drug Administration (ed.), FDA Approves First Gene Therapies to Treat Patients with Sickle Cell Disease, press announcement of 8 December 2023. FDA, Silver Spring. Page read. Observation year 2023. Accessed 2026-11-03. Cited in chapter 1, chapter 2, chapter 3, chapter 8
  18. 18WHO (ed.), Global guidance framework for the responsible use of the life sciences: mitigating biorisks and governing dual-use research, 174 pages, 2022. World Health Organization, Geneva. Publication page and overview read; the full text was not opened. Observation year 2022. Accessed 2026-11-03. Cited in chapter 1, chapter 2, chapter 3, chapter 4, chapter 6, chapter 8
  19. 19CERN (ed.), Future Circular Collider, feasibility study page (results published in spring 2025: 91 km ring, estimated cost CHF 15 billion). CERN, Geneva. Page read. Observation year 2025. Accessed 2026-11-03. Cited in chapter 3, chapter 4, chapter 6
  20. 20Lawrence Livermore National Laboratory (ed.), Achieving Fusion Ignition, National Ignition Facility page (ignition reached on 5 December 2022). LLNL, Livermore. Page read. Observation year 2022. Accessed 2026-11-03. Cited in chapter 6
  21. 21Our World in Data (ed.), Yearly number of objects launched into outer space (data compiled from the UN Office for Outer Space Affairs, CSV read). Global Change Data Lab, Oxford. Observation year 2025. Accessed 2026-11-03. Cited in chapter 6
  22. 22RCSB Protein Data Bank (ed.), Current holdings, list of entry identifiers (262,922 entries counted by the editors on the access date). Research Collaboratory for Structural Bioinformatics. Observation year 2026. Accessed 2026-11-03. Cited in the summary, chapter 2, chapter 4, chapter 6, chapter 8
  23. 23GBIF (ed.), GBIF API, occurrence count and counts by year (3,890,294,224 records on the access date; 305,893,347 dated 2025). Global Biodiversity Information Facility, Copenhagen. Observation year 2026. Accessed 2026-11-03. Cited in the summary, chapter 2, chapter 3, chapter 4, chapter 6, chapter 8
  24. 24European Commission (ed.), Horizon Europe, programme page (indicative funding of EUR 93.5 billion for 2021 to 2027 after the mid-term review). European Commission, Brussels. Page read. Observation year 2026. Accessed 2026-11-03. Cited in chapter 4, chapter 6, chapter 8
  25. 25UNESCO (ed.), UNESCO Recommendation on Open Science, 2021, programme page (193 Member States). UNESCO, Paris. Page read; the Recommendation text itself returned an access error. Observation year 2021. Accessed 2026-11-03. Cited in chapter 1, chapter 3, chapter 4, chapter 6, chapter 8
  26. 26UNESCO (ed.), Recommendation on the Ethics of Artificial Intelligence, November 2021, programme page (193 Member States). UNESCO, Paris. Page read; the text itself was not opened. Observation year 2021. Accessed 2026-11-03. Cited in chapter 1, chapter 4, chapter 6, chapter 8
  27. 27Gottweis, J. et al., Accelerating scientific discovery with Co-Scientist, arXiv 2502.18864 (version 2, 2026; abstract read through the arXiv API). Cornell University, Ithaca. Observation year 2025. Accessed 2026-11-03. Cited in chapter 1, chapter 6
  28. 28UNVERIFIED, not opened: UN General Assembly, resolution 79/325, Terms of reference and modalities for the establishment and functioning of the Independent International Scientific Panel on Artificial Intelligence and the Global Dialogue on Artificial Intelligence Governance, 2025; adoption in 2025 taken from search-result summaries, because the document page returned no text. United Nations, New York. Observation year 2025. Accessed 2026-11-03. Cited in chapter 4, chapter 6
  29. 29UNVERIFIED, not opened: UN General Assembly, resolution 79/1, Pact for the Future, including the Global Digital Compact, 2024, cited from memory. United Nations, New York. Observation year 2024. Accessed 2026-11-03. Cited in chapter 6
  30. 30UNVERIFIED, not opened: Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence, Official Journal of the European Union, 2024, cited from memory; the publication page returned a pending response. Observation year 2024. Accessed 2026-11-03. Cited in chapter 6
  31. 31UNVERIFIED, not opened: Council of Europe, Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law, 2024, cited from memory. Council of Europe, Strasbourg. Observation year 2024. Accessed 2026-11-03. Cited in chapter 6
  32. 32UNVERIFIED, not opened: ISO/IEC 42001:2023, Artificial intelligence management system; the catalogue page returned an access error. International Organization for Standardization, Geneva. Observation year 2023. Accessed 2026-11-03. Cited in chapter 6
  33. 33UNVERIFIED, not opened: ISO/IEC 17025:2017, General requirements for the competence of testing and calibration laboratories, cited from memory. International Organization for Standardization, Geneva. Observation year 2017. Accessed 2026-11-03. Cited in chapter 6
  34. 34UNVERIFIED, not opened: Baker, M., 1,500 scientists lift the lid on reproducibility, Nature 533, 452 to 454, 2016; the article is behind a subscription and only its bibliographic record was checked. Springer Nature, London. No figure from it is used. Observation year 2016. Accessed 2026-11-03. Cited in chapter 6
  35. 35UNVERIFIED, not opened: Jumper, J. et al., Highly accurate protein structure prediction with AlphaFold, Nature 596, 583 to 589, 2021, cited from memory. Springer Nature, London. No figure from it is used. Observation year 2021. Accessed 2026-11-03. Cited in chapter 6
  36. 36UNVERIFIED, not opened: UNESCO (ed.), UNESCO Science Report: Towards 2030, 2021 edition, cited from memory. UNESCO, Paris. No figure from it is used. Observation year 2021. Accessed 2026-11-03. Cited in chapter 6
  37. 37UNVERIFIED, not opened: UNESCO (ed.), Recommendation on Science and Scientific Researchers, 2017, cited from memory. UNESCO, Paris. Observation year 2017. Accessed 2026-11-03. Cited in chapter 4, chapter 6
  38. 38UNVERIFIED, not opened: San Francisco Declaration on Research Assessment (DORA), 2012, cited from memory. DORA, San Francisco. Observation year 2012. Accessed 2026-11-03. Cited in chapter 6
  39. 39UNVERIFIED, not opened: OECD (ed.), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, cited from memory. OECD Publishing, Paris. Observation year 2015. Accessed 2026-11-03. Cited in chapter 6
  40. 40UNVERIFIED, not opened: WIPO (ed.), World Intellectual Property Indicators 2025, cited from memory; the opened World Bank series draws on WIPO data. World Intellectual Property Organization, Geneva. No figure from it is used. Observation year 2024. Accessed 2026-11-03. Cited in chapter 6
  41. 41UNVERIFIED, not opened: Convention on the Prohibition of the Development, Production and Stockpiling of Bacteriological (Biological) and Toxin Weapons and on their Destruction, 1972, cited from memory. United Nations, Geneva. Observation year 1972. Accessed 2026-11-03. Cited in chapter 6
  42. 42UNVERIFIED, not opened: Bloom, N., Jones, C.I., Van Reenen, J. and Webb, M., Are Ideas Getting Harder to Find?, American Economic Review 110(4), 1104 to 1144, 2020, cited from memory. American Economic Association, Nashville. No figure from it is used. Observation year 2020. Accessed 2026-11-03. Cited in chapter 6
  43. 43UNVERIFIED, not opened: Wuchty, S., Jones, B.F. and Uzzi, B., The Increasing Dominance of Teams in Production of Knowledge, Science 316(5827), 1036 to 1039, 2007, cited from memory. American Association for the Advancement of Science, Washington. No figure from it is used. Observation year 2007. Accessed 2026-11-03. Cited in chapter 6
  44. 44UNVERIFIED, not opened: UNESCO Institute for Statistics (ed.), R&D (SDG 9.5) data release, February 2025; the page returned a script challenge, and 1.95% of GDP in 2022 and 31.1% women among researchers were seen only in search-result summaries and are not used. UNESCO, Montreal. Observation year 2022. Accessed 2026-11-03. Cited in chapter 6

C.2Publication record

Publication

Title
Global Science and Engineering Frontier Risk & Resilience Report 2026: Baseline Edition
Series
Reports · Global Sector Series GS-15
Edition
Baseline Edition 2026 · inaugural annual
Version
v1.0.0 · draft for stewardship review
Publication ID
NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-v1.0.0
Evidence close
30 September 2026
Publication date
October 2026
DOI
concept and version DOI at deposit

Publisher

Publisher of record
The Global Centre for Risk and Innovation (GCRI), for the Nexus Consortium
Place
Toronto
Editor
Saeed Valadbaygi, Chief Steward and Managing Editor
Stewards
GCRI · technical truth · GRF · public meaning · GRA · capital meaning
Licence
text CC BY 4.0; data on the terms of each source
Copyright
© 2026 GCRI · Nexus Consortium
Language
English (en-GB) source edition
Correspondence
Registry correction pathway · editorial office

Colophon

Format
A4 portrait · screen, print and archival PDF
Typefaces
Space Grotesk (display) · Geist (text) · IBM Plex Sans Italic (standfirsts) · IBM Plex Mono (data)
Design standard
Reports Foundational Edition, Volume I, Part VII
Accessibility
tagged PDF and HTML targets; text alternatives for every figure
Production
Reports editorial team, GCRI

Release path for this version

Table C.1Release path for this version
StepWhat happensWhen
Drafteditorial self-check complete at evidence closeOctober 2026
Steward reviewfive passes on the exact draft (keys T · M · F · N)Q4 2026
Approvalpublication authority approves the exact digestbefore release
Depositconcept and version DOI minted; registry pointer setat release
Successionthe 2027 science and engineering edition reports changes against this baseline2027
Current version
v1.0.0 draft, stewardship review
Previous edition
none, first edition of the series
Next edition
NR-SECTOR-SCIENCE-GLOBAL-2027-v1.0.0
Latest version
resolve the concept DOI or the registry record
Correction route
Registry correction pathway
Notice types
erratum · addendum · supersession · withdrawal

C.3Corrections log

0correction notices. No edition has been released yet, so none can be corrected; the log below lists each edition’s current version.

EditionVersionDateStateChangeNotice
GS-15NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-v1.0.0October 2026DraftBaseline Edition 2026, inaugural annual edition,None

Notice types: erratum, addendum, supersession, withdrawal. A correction is a new version with a published notice; the earlier version stays resolvable, and no edition is ever edited in silence.

C.4Open record

This edition’s open record

Publication ID
NR-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-v1.0.0
Desk identifier and series alias
NR-SEC-GS-15-2026-BL
Collection
None
DOI
Concept and version DOI at deposit, on Zenodo with DataCite metadata
Versions
Each correction is a new version (isNewVersionOf); the concept DOI resolves to the latest
Bundle
RO-Crate 1.2 with CITATION.cff, CodeMeta and PROV-O provenance; a signed manifest
Licence
CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0

Credit and identity

ORCID
Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
ROR
Your organisation by its ROR identifier, never by a typed name alone
CRediT
Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
Account
None needed to contribute; never a password

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C.5Where this edition sits among the six pillars

Foundry seals the evidence and Universe tests it; Reports publishes it; Standards takes its corrections and Academy teaches from it.

  1. F03 Sealed observations and indicator series Foundry Sealed observations and indicator series behind a profile (closeout).
  2. F04 After-action and scenario findings for Universe After-action and scenario findings for chapters 10 and 13 (after action review).
  3. F05 National Portfolio movement for chapter Foundry National Portfolio movement for chapter 11 (after action review).
  4. Applied in editions Standards Nexus Standards: applied in editions.
  5. GS-15 edition Reports Global Science and Engineering Frontier 2026, published in every format with its sources, citation and corrections.
  6. F06 Method and correction findings as change Standards Method and correction findings as change proposals (correction).
  7. F12 Q4 synthesis informs the next-year Universe Q4 synthesis informs the next-year mandate (renewal).
  8. Taught in the open Academy Risk Academy: taught in the open.

What Foundry and Universe hand to this edition, and what it hands to Standards, Universe and Academy. From the programme spine; GS-15 is a drafted Baseline Edition, so these handoffs run from its first operational quarter.

HandoffBetweenWhat crosses, and when
F03Foundry to ReportsSealed observations and indicator series behind a profile (closeout).
F04Universe to ReportsAfter-action and scenario findings for chapters 10 and 13 (after action review).
F05Foundry to ReportsNational Portfolio movement for chapter 11 (after action review).
RingNexus Standards to ReportsNexus Standards: applied in editions.
F06Reports to Nexus StandardsMethod and correction findings as change proposals (correction).
F12Reports to UniverseQ4 synthesis informs the next-year mandate (renewal).
RingReports to Risk AcademyRisk Academy: taught in the open.
ReportsContribute

Send evidence or a correction on Global Science and Engineering Frontier.

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