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Machines and Society

A growing guide on the latest in data-driven research and emerging technologies at the intersection of society, information and technology.

The Field of Computational Social Science

* This page is a work in progress. 

Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46, 61-81. http://dx.doi.org/10.1146/annurev-soc-121919-054621

 

Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A. L., Brewer, D., ... & Van Alstyne, M. (2009). Computational Social Science. Science, 323(5915), 721-723. http://dx.doi.org/10.1126/science.1167742

 

Lazer, D. M., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., ... & Wagner, C. (2020). Computational Social Science: Obstacles and Opportunities. Science, 369(6507), 1060-1062. http://dx.doi.org/10.1126/science.aaz8170

Approaches

* This page is a work in progress.

Athey, S., & Imbens, G. W. (2019). Machine Learning Methods that Economists Should Know About. Annual Review of Economics, 11, 685-725. http://dx.doi.org/10.1146/annurev-economics-080217-053433

 

Grimmer, J., Roberts, M. E., & Stewart, B. M. (2021). Machine Learning for Social Science: An Agnostic Approach. Annual Review of Political Science, 24, 395-419. http://dx.doi.org/10.1146/annurev-polisci-053119-015921

 

Molina, M., & Garip, F. (2019). Machine Learning for Sociology. Annual Review of Sociology, 45, 27-45. http://dx.doi.org/10.1146/annurev-soc-073117-041106