Maastricht University (leader), University of Oxford, Cambridge Econometrics, University of Tallinn



What are plausible scenarios for the adoption rate of technological innovations and the automation risk of tasks and jobs? Evidence on the impacts of robots and AI in Europe is sparse. A growing literature suggests that the impacts of the next wave of automation technologies on European labour markets could be substantial. But estimates of impact vary widely, and the scientific debate about how many jobs will be created or disappear as a consequence of automation is far from resolved.


This project aims to grow the evidence base on labor market impact of technology with new data and better analyses, and, through innovative forecasting, shed light on the potential labour-market impacts. By advancing the current state of knowledge, we seek to provide tools and analysis to inform future debates and policies about how to respond to automation. We study which skills and tasks are currently most under pressure of being substituted away, changed, or created. We also determine what occupations are affected by changing skill demands.

  1. The future of work in Europe

  2.  Understanding technological inequality

  3. Educating for tomorrow's labor market

  4. Reinventing social welfare

  5. Understanding consequences for public finances

  6. Is this time really different?

  7. Co-creating policies that work


Maastricht University (ROA)

University of Oxford (OMS, Skope)

Cambridge Econometrics (CE)

Berlin Social Science Centre (WZB)

University of Tallinn  (Sociology dept)

University of Tilburg (Tranzo)

University of Stockholm (SOFI)

European University Institite (SPS)


Prof. dr. Mark Levels

[mail] [phone]

Dr. Raymond Montizaan 

[mail] [phone

Maaike Bierman (project officer)



This project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement No 822330

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