Home is where the ad is: online interest proxies housing demand. - Marco Pangallo; Michele Loberto (EPJ Data Sci., 2018)

Sensitivity analysis of agent-based models: a new protocol. - Emanuele Borgonovo; Marco Pangallo; Jan W. Rivkin; Leonardo Rizzo; Nicolaj Siggelkow (Comput. Math. Organ. Theory, 2022)

On learning agent-based models from data. - Corrado Monti; Marco Pangallo; Gianmarco De Francisci Morales; Francesco Bonchi (CoRR, 2022)

Towards a taxonomy of learning dynamics in 2 × 2 games. - Marco Pangallo; James B. T. Sanders; Tobias Galla; J. Doyne Farmer (Games Econ. Behav., 2022)

Best-response dynamics, playing sequences, and convergence to equilibrium in random games. - Torsten Heinrich; Yoojin Jang; Luca Mungo; Marco Pangallo; Alex Scott 001; Bassel Tarbush; Samuel C. Wiese (Int. J. Game Theory, 2023)

Can Generative AI agents behave like humans? Evidence from laboratory market experiments. - R. Maria del Rio Chanona; Marco Pangallo; Cars H. Hommes (CoRR, 2025)

Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks. - Francesco Cozzi; Marco Pangallo; Alan Perotti; André Panisson; Corrado Monti (CoRR, 2025)