Minimise costs and maximise benefits of job creation and job destruction
ISABEL is a pioneering Horizon Europe project dedicated to understanding and managing how the green and digital transitions reshape employment across Europe. The project explores the complex processes of job creation and destruction (JCD), aiming to ensure that the transformation of regional labour markets is socially fair, geographically balanced, and economically sustainable.
The project introduces the ISABEL Framework, an AI-powered, data-driven approach that analyses and forecasts changes in jobs and skills. By combining advanced analytics with direct citizen engagement through Living Labs, ISABEL supports policymakers and researchers in designing inclusive, evidence-based strategies for a just and equitable transition.
The Warwick IER leads critical tasks focused on the technical and regional forecasting of labour market shifts. IER’s key contributions include:
- Forecasting Methodology: Developing an analytical report on the features and efficacy of various forecasting methods used to predict labour market changes.
- Data-Driven Analytics: Utilising advanced global databases—including Ovate (online job vacancy data), Patent data (to track technological innovation), and the Overton database (to map policy influence and impact)—to provide a robust evidence base for regional transitions.
- UK Living Lab & Results: Leading the Living Lab UK, which bridges high-level data with local stakeholder insights, and producing the project’s central forecasting workbook detailing projected regional labour outcomes.
The project is coordinated by the Centre for Research and Technology Hellas (CERTH), Greece, and involves 10 partners across Europe, including the University of Copenhagen (Denmark), University of Western Macedonia (Greece), University of Silesia (Poland), University of Warwick (UK), University of Oviedo (Spain), and the University of Belgrade (Serbia).
Funder:
Funded by the European Union under the Horizon Europe Research and Innovation Actions, Grant Agreement No 101177687