Department of Social and Behavioral Sciences

Marijn Keijzer, Jan Lorenz, and Michał Bojanowski, Computational Social Science of Social Cohesion and Polarization, Springer Cham, February 2026.

Marijn Keijzer, Jan Lorenz, and Michał Bojanowski, “Computational Social Science of Social Cohesion and Polarization”, in Computational Social Science of Social Cohesion and Polarization, Springer Cham, February 2026.

Marijn Keijzer, Lukas Erhard, Zarine Kharazian, and Manika Lamba, “The Anatomy of Rabbit Holes: Studying Information Segregation in YouTube’s Recommendation Graph”, February 2026.

Elliott Ash, Daniel L. Chen, and Suresh Naidu, “Ideas Have Consequences: The Impact of Law and Economics on American Justice”, The Quarterly Journal of Economics, vol. 141, n. 1, February 2026, revised June 10, 2026, p. 845–887.

Mengchen Dong, Jane Conway, Jean-François Bonnefon, Azim Shariff, and Iyad Rahwan, “Fears about Artificial Intelligence across 20 countries and six domains of application”, American Psychologist, vol. 81, n. 1, January 2026, pp. 53–67.

Raphaël Franck, and Victor Gay, “Urbanization and Electoral Success: Lawyers and Workers in Interwar France”, Journal of Historical Political Economy, 2026, forthcoming.

Victor Gay, Paula Gobbi, and Marc Goni, “Revolutionary Transition: Inheritance Change and Fertility Decline”, Journal of Political Economy, vol. 134, n. 6, 2026, p. 1666–1713.

Michael Albertus, and Victor Gay, “State-Building and Rebellion in the Run-Up to the French Revolution”, American Political Science Review, vol. 120, n. 3, 2026, p. 1031–1058.

Violeta I. Haas, Konstantin Bogatyrev, Tarik Abou-Chadi, Heike Klüver, and Lukas F. Stoetzer, “The Electoral Effects of State-Sponsored Anti-LGBTQ Measures”, The Journal of Politics, 2026, forthcoming.

Daniel L. Chen, Jiafeng Chen, and Gregory Lewis, “Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models”, Journal of Machine Learning Research, 2026, forthcoming.