Handbook of Computational Social Science for Policy

Handbook of Computational Social Science for Policy

Vespe, Michele; Gabrielli, Lorenzo; Signorelli, Serena; Bertoni, Eleonora; Fontana, Matteo

Springer International Publishing AG

01/2023

490

Dura

Inglês

9783031166235

15 a 20 dias

928

Descrição não disponível.
- Part I Foundational Issues. - 1. Computational Social Science for Public Policy. - 2. Computational Social Science for the Public Good: Towards a Taxonomy of Governance and Policy Challenges. - 3. Data Justice, Computational Social Science and Policy. - 4. The Ethics of Computational Social Science. - Part II Methodological Aspects. - 5. Modelling Complexity with Unconventional Data: Foundational Issues in Computational Social Science. - 6. From Lack of Data to Data Unlocking. - 7. Natural Language Processing for Policymaking. - 8. Describing Human Behaviour Through Computational Social Science. - 9. Data and Modelling for the Territorial Impact Assessment (TIA) of Policies. - 10. Challenges and Opportunities of Computational Social Science for Official Statistics. - Part III Applications. - 11. Agriculture, Food and Nutrition Security: Concept, Datasets and Opportunities for Computational Social Science Applications. - 12. Big Data and Computational Social Science for Economic Analysis and Policy. - 13. Changing Job Skills in a Changing World. - 14. Computational Climate Change: How Data Science and Numerical Models Can Help Build Good Climate Policies and Practices. - 15. Digital Epidemiology. - 16. Learning Analytics in Education for the Twenty-First Century. - 17. Leveraging Digital and Computational Demography for Policy Insights. - 18. New Migration Data: Challenges and Opportunities. - 19. New Data and Computational Methods Opportunities to Enhance the Knowledge Base of Tourism. - 20. Computational Social Science for Policy and Quality of Democracy: Public Opinion, Hate Speech, Misinformation, and Foreign Influence Campaigns. - 21. Social Interactions, Resilience, and Access to Economic Opportunity: A Research Agenda for the Field of Computational Social Science. - 22. Social Media Contribution to the Crisis Management Processes: Towards a More Accurate Response Integrating Citizen-Generated Content and Citizen-Led Activities. - 23. The Empirical Study of Human Mobility: Potentials and Pitfalls of Using Traditional and Digital Data. - 24. Towards a More Sustainable Mobility.
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Open Access;Computational Social Science;Data Science;Big Data Analytics;Statistical Learning;Machine Learning;Sentiment Analysis;Natural Language Processing