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Mapping the Demand Side of Computational Social Science for Policy

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Harnessing digital trace data and computational methods to address societal challenges
This report aims at collecting novel and pressing policy issues that can be addressed by Computational Social Science (CSS), an emerging discipline that is rooted in the increasing availability of digital trace data and computational resources and seeks to apply data science methods to social sciences. The questions were sourced from researchers at the European Commission who work at the interface between science and policy and who are well positioned to formulate research questions that are likely to anticipate future policy needs. The attempt is to identify possible directions for Computational Social Science starting from the demand side, making it an effort to consider not only how science can ultimately provide policy support — “Science for Policy – but also how policymakers can be involved in the process of defining and co-creating the CSS4P agenda from the outset — ‘Policy for Science’. The report is expected to raise awareness on the latest scientific advances in Computational Social Science and on its potential for policy, integrating the knowledge of policymakers and stimulating further questions in the context of future developments of this initiative
BERTONI Eleonora;  FONTANA Matteo;  GABRIELLI Lorenzo;  SIGNORELLI Serena;  VESPE Michele; 
2022-03-22
Publications Office of the European Union
JRC126781
978-92-76-49357-0 (online),    978-92-76-49358-7 (print),   
1831-9424 (online),    1018-5593 (print),   
EUR 31017 EN,    OP KJ-NA-31017-EN-N (online),    OP KJ-NA-31017-EN-C (print),   
https://publications.jrc.ec.europa.eu/repository/handle/JRC126781,   
10.2760/901622 (online),    10.2760/825111 (print),   
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