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Computational Social Science for Policy (CSS4P)


We live in an era of unprecedented data, digital footprints created every day by sensors, smartphones, internet, social media, and administrative systems.

Digital trace data can be processed using computational methods to model collective behaviours and describe aspects of our society that are already present but not yet captured or quantified.

The main objective of the project is to build capacity in accessing and analysing non-traditional data through key partnerships and in coordination with European Commission services.

This will clear the path to address concrete policy questions by engaging in a knowledge exchange among all partners, connecting academia with policymakers and the private sector.

Lead Expert: Michele Vespe

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