Titlebook: Handbook of Computational Social Science for Policy; Eleonora Bertoni,Matteo Fontana,Michele Vespe Book‘‘‘‘‘‘‘‘ 2023 The Rightsholder (if

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Modelling Complexity with Unconventional Data: Foundational Issues in Computational Social Sciencecontrary, (big) data eventually unveil the complexity of socio-economic relations, which has been too often disregarded in traditional approaches. Consequently, this paradigm shift requires to develop new theories and modelling techniques to handle new types of information. In this chapter, we first

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From Lack of Data to Data Unlockingvailable have many new features that allow for much more than to just monitor large aggregates’ evolution. Administrative data now collected has a degree of granularity that allows for causal analysis of policy measures. As a result, administrative data can support research, political decisions, and

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Natural Language Processing for Policymakingrse text into key information that is needed for policymaking. In this chapter, we introduce common methods of NLP, including text classification, topic modelling, event extraction, and text scaling. We then overview how these methods can be used for policymaking through four major applications incl

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Describing Human Behaviour Through Computational Social Sciencety of behavioural data in a society where the digital has been widely adopted is because of two reasons: first, the vast amount of digital traces produced by people in their daily lives and related behaviours and, second, the possibility of running online experiments that can cover a large segment o

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Data and Modelling for the Territorial Impact Assessment (TIA) of Policiesies are thematically holistic and multi-dimensional and require the analysis of a wide pool of data, not only of economic character but also related with social, environmental, governance and planning processes, in all territorial scales. For that, TIA requires a wealth of comparable and updated ter

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Challenges and Opportunities of Computational Social Science for Official Statisticsin a computational context, that allows to fully extract their informational and knowledge value. In the latest years, statistical offices have made efforts to profit from harnessing the potential offered by these new sources of data, with promising results. But how difficult is this integration pro

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Big Data and Computational Social Science for Economic Analysis and Policydatasets is that they provide very detailed information about economic behaviour and decisions which has spurred research aiming at answering long-standing economic questions. Another relevant characteristic of these datasets is that they might be available in real time, a property that can be used

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