GCRI · Labs
آزمایشگاه آیندهٔ کار
Work changes when technologies, contracts, skills and institutions change, and research on that change is often loud and weakly identified. This lab studies how automation, platform work, remote work, skills سامانهها and workplace institutions reshape jobs and organisations, with designs that can tell a real effect from a trend. This page sets out the mechanisms, the measures, the data, the methods and the people who decide on the evidence.
Future of work lab on the record.
Future of work lab: how the risk develops.
Workforce and institutional change research. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Tasks change before jobs
Technologies automate or augment specific tasks, not whole occupations. Jobs are rebundled, skill demands shift within roles, and the effect on employment depends on how firms reorganise work around the tool.
Exposure is not impact
Indices of which occupations are exposed to a technology describe potential, not outcome. Adoption, cost, regulation and bargaining decide what happens, so exposure indices need causal evidence before they inform policy.
Institutions mediate change
Collective agreements, training سامانهها, حمایت اجتماعی and labour law shape whether change raises productivity and wages or shifts risk onto workers. The same technology can produce different outcomes under different institutions.
Workplace trials carry power
Experiments inside firms involve employees who may not feel free to refuse. Consent, worker representation, data protection and a real right to opt out decide whether a workplace study is ethical and its results credible.
موجودیها، جریانها، تأخیرها و یک آستانهٔ واژگونی.
دو موجودی، فشار و ظرفیت سازگاری، که با یک حلقهٔ رشد تقویتکننده، یک واکنش تعادلبخش با تأخیر و خسارت وقتی فشار از ظرفیت پیشی میگیرد به هم پیوستهاند؛ پس از آستانه، سامانه میتواند واژگون شود. مدل آموزشی با مقادیر تصویری اعلامشده، نه پیشبینی.
کنترلها
- رشد فشار
- 6.0٪ در سال
- اثربخشی ظرفیت در کاهش فشار
- 4.0٪ در سال
- واکنش سرمایهگذاری به فشار ادراکشده
- 20%
- تأخیر ادراک
- 4.0 سال
- آستانهٔ واژگونی فشار
- شاخص 60
- تقویت پس از آستانه
- 2.0 برابر
- سالهای شبیهسازیشده
- 50 سال
خوانشها
- اوج فشار
- شاخص 113
- ظرفیت در پایان
- شاخص 186
- سالهای بالاتر از آستانه
- 15.8 سال
رقمها، روشها و منابع
| سال | فشار | ظرفیت | ادراکشده |
|---|---|---|---|
| 0 | 20.0 | 50.0 | 20.0 |
| 4 | 23.3 | 44.9 | 21.2 |
| 8 | 27.2 | 42.2 | 24.0 |
| 12 | 31.7 | 42.3 | 27.7 |
| 16 | 36.8 | 45.5 | 32.2 |
| 20 | 42.3 | 51.5 | 37.2 |
| 24 | 47.9 | 60.3 | 42.6 |
| 28 | 53.2 | 71.3 | 48.0 |
| 32 | 57.8 | 84.3 | 53.1 |
| 36 | 66.4 | 98.4 | 58.4 |
| 40 | 82.7 | 115.9 | 69.7 |
| 44 | 97.8 | 139.7 | 83.8 |
| 48 | 109.1 | 169.4 | 97.3 |
روشها
- پویاییشناسی سامانه Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics
- گذارهای بحرانی و نقاط واژگونی Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461
- نمودار حلقهٔ علّی Sterman (2000), Business Dynamics, McGraw-Hill
- بادبزن عدم قطعیت (مونتکارلوی پارامتری) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- حساسیتسنجی تکمتغیره (تورنادو) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
داده
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.
در شش رکن، به رهبری Nexus Consortium
- آزمایشها Labs in Labs
- ساختهشده در Labs در Foundry
- آزمودهشده در Labs در Universe
- مدونشده در داده و شواهد در Standards
- منتشرشده در Labs در Reports
- تدریسشده در دانشکدهٔ علم ریسک و روشها در Academy
The work lab studies change in each domain’s workforce.
Findings feed the مجموعهٔ Labs Evidence. The ILO’s 2023 working paper sets out exposure measures.
- Workplace study sites.
- Worker accounts with consent.
How future of work lab is modelled, measured and tested.
مدل، مفروضات، دادهها و عدم قطعیت آن، به شکلی که دانشمند یا مهندس بررسی میکند. ساختارها از روشهای منتشرشده پیروی میکنند. مقادیر ترسیمشده تبیینیاند، نه یافته.
مدل، معادلات و مفروضات
The model structure used for future of work lab, the assumptions it makes and how each is tested.
Ri = f(Hi, Ei, Vi, Ci)مخاطره، مواجهه، آسیبپذیری و ظرفیت مقابلهEAL = ∑k pk · Lkبر رویدادهای k با احتمال سالانهٔ pkxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error| فرض | چرا ساخته میشود | چگونه آزموده میشود |
|---|---|---|
| مخاطره و مواجهه در یک رویداد مستقلاند | انتگرال زیان را تحتکنترل نگه میدارد | مقایسه با برازش مفصل بر سوابق مشترک |
| جفتشدگیها نزدیک نقطهٔ کار خطیاند | اجازه میدهد شوکها از طریق A منتشر شوند | فراتر از دامنهٔ خطی آشفته کنید و مقایسه کنید |
| منحنیهای آسیبپذیری میان مکانها منتقل میشوند | منحنیهای محلی بهندرت در دسترساند | اعتبارسنجی در برابر زیانهای مشاهدهشده در جاهایی که وجود دارند |
- ورودیها
- مجموعهدادههای نسخهدار با خاستگاه
- خروجیها
- توزیعها، هرگز تکرقمها
- کد
- منتشرشده با کارت مدل و آزمونها
- بازتولید
- همان داده، کد، محیط و بذر
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | دورهٔ تکرار | Source type | برچسب |
|---|---|---|---|---|
| Task exposure index | dimensionless index by occupation | annual | Task databases mapped to technology capability | مدلسازیشده |
| Firm adoption of the studied technology | percent of firms | annual | Enterprise surveys | برآوردشده |
| Adult skills proficiency | score on the survey scale | per survey cycle | OECD Survey of Adult Skills | مشاهدهشده |
| Job quality index | composite index | per survey cycle | Working conditions surveys | برآوردشده |
| Participation in job-related training | percent of adults | annual | Labour force and adult education surveys | آمارهای منتشرشده |
| Pre-analysis plans for workplace trials | percent of trials registered before launch | annual | AEA RCT Registry | آمارهای منتشرشده |
| Worker representatives consulted | percent of workplace studies | per study | Study ethics records | DECLARED |
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| منبع | What it gives | Licence class |
|---|---|---|
| ILOSTAT (International Labour Organization) | Employment, hours, wages and informality by country | Free and open, CC BY |
| OECD Survey of Adult Skills (PIAAC) | Literacy, numeracy and problem solving of adults, with job tasks | OECD terms; microdata by release |
| O*NET (US Department of Labor) | Task, skill and work activity descriptors by occupation | Open, CC BY |
| ESCO (European Commission) | Multilingual classification of skills, competences and occupations | Free and open, attribution |
| European Working Conditions Survey (Eurofound) | Job quality, autonomy, work intensity and representation | Free for research, end-user licence |
| AEA RCT Registry (American Economic Association) | Registered field experiments and pre-analysis plans in economics | Free access, terms of use |
| National labour force surveys | Employment, occupation and training microdata | Terms per statistical office |
Who decides, and what the evidence serves.
آزمایشگاهها prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| چه کسی تصمیم میگیرد | The question | Evidence this page serves |
|---|---|---|
| Labour ministries and public employment services | Which training and transition programmes to fund or scale | Impact evaluations with credible comparison groups, cost data, effects by group |
| Employers and worker representatives | Whether and how to introduce a technology, with what consultation and safeguards | Pilot evaluation, task and job-quality effects, data protection assessment |
| Research ethics committees | Whether a workplace experiment protects voluntariness and personal data | Consent design, opt-out route, representation agreement, data minimisation |
| Research funders | Which questions on work and technology merit sustained funding | Evidence gaps mapped by strength of design, not by volume of commentary |
Outputs this topic produces
- Pre-analysis plans for workplace and labour market trials
- Occupational task maps linked to technology capability, with the method stated
- Evaluations of training and transition programmes with the identification strategy stated
- Ethics and consultation records for studies inside workplaces
What experts ask about changing work.
- Which tasks within an occupation are changing, rather than which jobs disappear?
- Who bears the costs of transition, by region, age, sex, sector and skill level?
- Which training, matching and income-support measures actually change outcomes?
- How do institutions such as schools, unions, employers and public employment services adapt?
- How do heat, disasters and supply disruptions affect work and safety?
The forces reshaping work.
Economists analyse technological change at the level of tasks. A technology may substitute for some tasks, complement others and create new ones; the net effect on an occupation depends on the mix and on how employers reorganise work. Automation and AI tend to affect routine cognitive and manual tasks first, but recent tools also reach into tasks once thought to require judgement.
Other forces act alongside technology. Ageing populations change labour supply and care needs. Climate change raises heat exposure for outdoor and industrial workers and shifts employment between sectors during energy transitions. Trade and supply-chain disruptions can concentrate job losses in particular places, where the effects persist for years.
Institutions shape outcomes. The same technology can produce very different results depending on training سامانهها, labour law, حمایت اجتماعی and bargaining arrangements.
Evidence and its limits.
- 01
Task and occupation data
Classifications of work activities linked to employment data. They lag behind real change and vary between countries.
- 02
Labour force and administrative records
Surveys and registers tracking employment, earnings and transitions. Access is often restricted and linking sources raises privacy questions.
- 03
ارزیابی اثر
Randomised and quasi-experimental studies of training and matching programmes using causal inference. Results may not transfer across labour markets.
- 04
Workplace experiments
Controlled trials of new tools or practices inside organisations, under consent and ethics review.
Forecasts of jobs lost or created are highly sensitive to assumptions and are not presented as predictions. The lab reports scenarios with their assumptions.
How it is studied, and what the methods cannot say.
- 01استنباط علّی و ارزیابی اثرRandomised pilots and stepped rollouts · Quasi-experimental programme evaluationApplied here
- 02احتمال و آمارSample size and power planning · Meta-analysis with bias assessmentApplied here
- 03هوش مصنوعی و یادگیری ماشینAssisted screening for systematic reviews · Surrogate models to guide experimentsApplied here
- 04کمّیسازی عدم قطعیت و اعتبارسنجی مدلMeasurement uncertainty budgets · Sensitivity analysis of simulation modelsApplied here
Where this page’s references lead.
نهادها و اسنادی که این صفحه بر پایهٔ آنها خوانده میشود. وضعیت و ویراستها تغییر میکنند؛ هر پیوند به نهاد صادرکننده میرود.
پرسش و پاسخ.
Does exposure to automation mean jobs will be lost?
Why register a pre-analysis plan for a field experiment?
Can employees refuse to take part in a workplace study?
Does the lab predict how many jobs will be lost to AI?
Can an employer run a workplace trial with the lab?
How does this lab differ from the Future of Work and Skills platform?
شواهد را از همین صفحه ارسال کنید.
گزارشها is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
- ایمیلدرگاه GW-GCRIاز همین صفحه ارسال کنیدشواهد، یک اصلاحیه، یک مورد، یک روش، یک داوری، یک ترجمه یا ورودی نمایه. با برچسب این صفحه میرسد تا ویراستار مسئول آن را دریافت کند.
- Zenodoسپردهٔ بازآن را واگذار کنید و به جامعه ارائه دهیدسابقهٔ خود را با شناسهٔ ORCID خود در Zenodo منتشر کنید و سپس آن را در همانجا به جامعهٔ Reports ارسال کنید. گزینشگران آن را داوری میکنند؛ DOI از آنِ شما میماند.
- گزارشهاGCRIهمهٔ راههای مشارکت را ببینیدانواع مشارکت، نحوهٔ بررسی هر یک، اعتباری که دریافت میکنید، مجوز و آنچه هرگز پذیرفته نمیشود.
هرگز داده شخصی، جزئیات حساس زیرساخت یا چیزی را که حق اشتراکش را ندارید نفرستید. هر مشارکت پیش از استفاده داوری میشود؛ ارسال آن حق مؤلفی یا ویرایشی نمیدهد و حمایت مالی هرگز یافتهای را نمیخرد.
یک روش، یک مجموعهداده یا یک پرسش بیاورید.
اطلاعات و درخواستها امروز باز است. هر درخواست یک شمارهٔ پیگیری میگیرد و گام بعدی را مشخص میکند؛ درخواستهای عضویت، پرداختها، تخصیص رایانش و ثبتنامها تنها زمانی باز میشوند که تیم، شرایط و ظرفیت داوری آنها فراهم باشد.
اسناد حقوقی.
نقشهها، دادهها و ارقام این سایت برای زمینه و اطلاعات عمومی نشان داده میشوند. توصیه، پیشبینی یا هشدار نیستند؛ حدود این اطلاعات در سلب مسئولیتها و اعلامیههای داده بیان شده است.