WP 5 - Analysing Socio-Economic Consequences Of Technological Transformation

WP5 analyses and assesses the socio-economic consequences of technological transformation through taking stock on the existing empirical literature and using the datasets prepared in WP3. It is organised around two types of activities:

  • Making inferences from the analysis of the last two decades: analyse Europe-wide and comparatively the effects of technological transformations. It takes into account the social embeddedness of technology. It maps the country-level, sector-level and company size-level diversity of structural transformation, using advanced statistical techniques from econometrics and data mining;
  • Forecasting the future of work: take stock of analysis of technological impacts over the last two decades at sector and company size level, the ecosystem analysis from WP4 and the historical perspective from WP7. It predicts the future of social and economic stratification and inclusion confronting different methods: forecasting, econometric modelling and Markov Chain analysis. Our analysis is based on shifting relationships between occupational skills groups. We check different theories of these shifting relationships like skill-biased technical change or routine-biased technical change.

Tasks

Analysis of the structural transformation of:

  1. Employment and labour markets.
  2. The rise of the platform economy.
  3. Occupations, their task-content and skill requirements.
  4. Occupations in risks and quality of working life
  5. The rise of the platform economy.
  6. Working futures: a forecasting exercise - multiple sketches of the future of work as basis for policy decision making.

Leading partner:
Le CNAM-CEET, France


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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 822296.