Chapter 5: @martinarvidsson.bsky.social, Hedström, Jarvis & @marckeuschnigg.bsky.social on the intersection of Analytical Sociology and Computational Social Science.
Computational tools are most powerful when used to identify and test mechanisms, not just describe or predict aggregate patterns.
Taha Yasseri
In Chapter 4, Ralph Schroeder of @oii.ox.ac.uk argues that CSS needs a stronger theory, not just better data.
He proposes an AI-driven model of media agenda-setting that links media visibility, public attention, and political change. A big step toward cumulative media theory.
Taha Yasseri
Chapter 3: @helenmargetts.bsky.social & Cosmina Dorobantu on how CSS can improve public policymaking, from better detection and prediction to ethical, accountable use of AI in government. A powerful case for impact beyond academia. doi.org/10.4337/9781...
@oii.ox.ac.uk @lsedatascience.bsky.social
Taha Yasseri
Chapter 2: Duncan Watts & @davidlazer.bsky.social reflect on how the field has evolved from early simulation models to today’s large-scale data and experiments, and ask how can computational social science move from producing insights to having real societal impact? @nunetsi.bsky.social
Taha Yasseri
Thrilled to announce the Handbook of Computational Social Science is officially out! 956 pages, 118 authors, and truly global, interdisciplinary perspectives. Deep thanks to the contributors and anonymous reviewers who shaped this over 4 years. Buy your copy now!
@elgarpublishing.bsky.social
