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Handbook of Computational Social Science for Policy

Overview of attention for book
Cover of 'Handbook of Computational Social Science for Policy'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Social Science for Public Policy
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    Chapter 2 Computational Social Science for the Public Good: Towards a Taxonomy of Governance and Policy Challenges
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    Chapter 3 Data Justice, Computational Social Science and Policy
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    Chapter 4 The Ethics of Computational Social Science
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    Chapter 5 Modelling Complexity with Unconventional Data: Foundational Issues in Computational Social Science
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    Chapter 6 From Lack of Data to Data Unlocking
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    Chapter 7 Natural Language Processing for Policymaking
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    Chapter 8 Describing Human Behaviour Through Computational Social Science
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    Chapter 9 Data and Modelling for the Territorial Impact Assessment (TIA) of Policies
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    Chapter 10 Challenges and Opportunities of Computational Social Science for Official Statistics
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    Chapter 11 Agriculture, Food and Nutrition Security: Concept, Datasets and Opportunities for Computational Social Science Applications
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    Chapter 12 Big Data and Computational Social Science for Economic Analysis and Policy
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    Chapter 13 Changing Job Skills in a Changing World
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    Chapter 14 Computational Climate Change: How Data Science and Numerical Models Can Help Build Good Climate Policies and Practices
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    Chapter 15 Digital Epidemiology
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    Chapter 16 Learning Analytics in Education for the Twenty-First Century
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    Chapter 17 Leveraging Digital and Computational Demography for Policy Insights
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    Chapter 18 New Migration Data: Challenges and Opportunities
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    Chapter 19 New Data and Computational Methods Opportunities to Enhance the Knowledge Base of Tourism
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    Chapter 20 Computational Social Science for Policy and Quality of Democracy: Public Opinion, Hate Speech, Misinformation, and Foreign Influence Campaigns
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    Chapter 21 Social Interactions, Resilience, and Access to Economic Opportunity: A Research Agenda for the Field of Computational Social Science
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    Chapter 22 Social Media Contribution to the Crisis Management Processes: Towards a More Accurate Response Integrating Citizen-Generated Content and Citizen-Led Activities
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    Chapter 23 The Empirical Study of Human Mobility: Potentials and Pitfalls of Using Traditional and Digital Data
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    Chapter 24 Towards a More Sustainable Mobility
Attention for Chapter 18: New Migration Data: Challenges and Opportunities
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Chapter title
New Migration Data: Challenges and Opportunities
Chapter number 18
Book title
Handbook of Computational Social Science for Policy
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-16624-2_18
Book ISBNs
978-3-03-116623-5, 978-3-03-116624-2
Authors

Rampazzo, Francesco, Rango, Marzia, Weber, Ingmar

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Social Sciences 2 50%
Nursing and Health Professions 1 25%
Unknown 1 25%

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