Department of Social and Behavioral Sciences

Sandor Juhász, Johannes Wachs, Jermain Kaminski, and César Hidalgo, “The software complexity of nations”, Research Policy, vol. 55, n. 3 (105422), April 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, p. 845–887.

Sandra Brée, Victor Gay, Marion Leturcq, Yoann Doignon, and Baptiste Coumon, “POPP. An OCR-Generated Database of the Population Censuses of Paris (1926–1936)”, Historical Life Course Studies, vol. 16, February 2026, pp. 3–28, 26 pages.

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.

Victor Gay, Paula Gobbi, and Marc Goni, “Revolutionary Transition: Inheritance Change and Fertility Decline”, Journal of Political Economy, 2026, forthcoming.

Michael Albertus, and Victor Gay, “State-Building and Rebellion in the Run-Up to the French Revolution”, American Political Science Review, 2026, forthcoming.

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.