Science is where the frontier is made
Part I describes systems and their couplings. It ranks no country or operator and assesses no authority.
Contents
- ·Edition home
- ·Executive summary
- 1Science is where the frontier is made
- 2Key findings
- 3Systems and sectors at baseline
- 4Risks and capability
- 5Loss of trust in the research record during a fast-moving emergency
- 6Readings from the other desks
- 7The 2027 agenda
- 8Systems in depth
- AMethodology
- BData appendix
- CReferences and record
- ·Complete edition, for print
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.
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.
| Item | Bar, scaled to the largest value | Value |
|---|---|---|
| Northern America | 5006 | |
| Europe | 4025 | |
| Eastern Asia | 2632 | |
| Latin America and the Caribbean | 668 | |
| Southern Asia | 347 | |
| Sub-Saharan Africa | 88 |
Source: as cited in the note to this figure. Year 2023.
Figure ID FIG-SECTOR-SCIENCE-GLOBAL-2026-BASELINE-01-003
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.
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.
| From, to | WAT | ENE | FOO | HLT | BIO |
|---|---|---|---|---|---|
| WAT Water | · | WEAK hydropower research | MODERATE irrigation science and crop trials | WEAK exposure studies | MODERATE river and lake monitoring |
| ENE Energy | WEAK instrument and desalination research load | · | WEAK processing research | MODERATE power for laboratories and clinics | WEAK field-station power |
| FOO Food | WEAK farm monitoring data | WEAK bio-based fuels research | · | MODERATE nutrition science | MODERATE crop genetics and land-use science |
| HLT Health | WEAK public health surveillance | WEAK workforce | MODERATE zoonosis and food-safety science | · | STRONG genomics and structural biology tools |
| BIO Biodiversity | WEAK 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
- 01
BIO → HLT
Sequence, structure and trial data feed medicines and gene therapy.
- 02
AIC → DAT → GOV
Mass-produced or AI-assisted papers dilute the record and strain peer review.
- 03
FIN → DAT
Funding and talent concentrate capacity in a few regions.
- 04
INF → AIC
Exascale and training compute decide which groups can work at the frontier.
- 05
TRD → DAT
Co-authorship and mobility carry knowledge across borders.
1.4Reinforcing loops
A shock entering either system of a loop can return amplified through the other.
| Loop | First direction | Second direction |
|---|---|---|
| HLT and BIO | Health to biodiversity: genomics and structural biology tools | Biodiversity 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
