Handbook of Computational Social Science
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Handbook of Computational Social Science by Taha Yasseri
This accessible Handbook provides a comprehensive exploration and overview of computational social science (CSS), bringing together global experts to examine its boundary-spanning nature. With an interdisciplinary focus, chapters shed light on the transformative power of computational approaches in social science and take a forward-looking approach to anticipate the next wave of innovations in CSS including those driven by generative AI and large language models. Covering diverse topics such as social networks, political behavior, human mobility, and collective intelligence, the Handbook highlights the vast potential of CSS to analyze and understand complex social phenomena. It explores a wide range of methodological approaches, from agent-based modeling and big data analytics to experimental designs and machine learning applications. Designed for students, researchers, and professionals, the Handbook is an invaluable resource for those working and studying in the field of CSS. Its practical insights into the methodologies that have shaped CSS will greatly benefit social science instructors, educators, and industry professionals in social data science and analytics.
‘This Handbook is remarkable, showcasing the breadth of computational social science – from powerful methods to inspiring applicationsIt sparks curiosity and invites students to embrace the endless possibilities of this vibrant field. A must-read for anyone eager to shape the discipline’s present and its exciting future.’ -- Stefania Milan, University of Amsterdam, the Netherlands, European University Institute, Italy and Berkman Klein Center for Internet and Society, Harvard University, USA
‘This is the ultimate collection of data sources, methods, and topics in computational social science. The chapters cover the foundations but also introduce advanced approaches and innovative research areas. The Handbook takes stock and sets the course for the post-ChatGPT era of the field.’ -- Milena Tsvetkova, London School of Economics and Political Science, UK
‘This Handbook brings together leading voices in computational social science to offer both depth and breadth across the field. It revisits foundational methods while highlighting emerging trends enabled by recent advances in AI, with applications ranging from law and education to dating and mental health, showing the wide-reaching impact of computational social science across society.’ -- Rada Mihalcea, University of Michigan, USA
‘Engaging and comprehensive, this Handbook brings together prominent scholars from many different fields to showcase the state of the art in computational social science.’ -- Chris Bail, Duke University, USA
‘Since its inception, the multi-disciplinary field of Computational Social Science has rapidly risen, fueled by the wealth of new data and the power of computational methods. This Handbook offers an interesting array of subjects and explores an insightful cross-section of the wide scope of this novel field, with many inspiring contributions from well-known teams around the world.’ -- Dirk Helbing, ETH Zürich,
‘This is the ultimate collection of data sources, methods, and topics in computational social science. The chapters cover the foundations but also introduce advanced approaches and innovative research areas. The Handbook takes stock and sets the course for the post-ChatGPT era of the field.’ -- Milena Tsvetkova, London School of Economics and Political Science, UK
‘This Handbook brings together leading voices in computational social science to offer both depth and breadth across the field. It revisits foundational methods while highlighting emerging trends enabled by recent advances in AI, with applications ranging from law and education to dating and mental health, showing the wide-reaching impact of computational social science across society.’ -- Rada Mihalcea, University of Michigan, USA
‘Engaging and comprehensive, this Handbook brings together prominent scholars from many different fields to showcase the state of the art in computational social science.’ -- Chris Bail, Duke University, USA
‘Since its inception, the multi-disciplinary field of Computational Social Science has rapidly risen, fueled by the wealth of new data and the power of computational methods. This Handbook offers an interesting array of subjects and explores an insightful cross-section of the wide scope of this novel field, with many inspiring contributions from well-known teams around the world.’ -- Dirk Helbing, ETH Zürich,
Edited by Taha Yasseri, Workday Professor and Chair of Technology and Society, Centre for Sociology of Humans and Machines (SOHAM), Trinity College Dublin and Technological University Dublin, Ireland
| SKU | Unavailable |
| ISBN 13 | 9781802207293 |
| ISBN 10 | 1802207295 |
| Title | Handbook of Computational Social Science |
| Author | Taha Yasseri |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Edward Elgar Publishing Ltd |
| Year published | 2025-12-16 |
| Number of pages | 956 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |