Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic. - Caspar J. van Lissa; Wolfgang Stroebe; Michelle R. vanDellen; N. Pontus Leander; Maximilian Agostini; Tim Draws; Andrii Grygoryshyn; Ben Gützgow; Jannis Kreienkamp; Clara S. Vetter; Georgios Abakoumkin; Jamilah Hanum Abdul Khaiyom; et al. (Patterns, 2022)

How Polarization Extends to New Topics: An Agent-Based Model Derived from Experimental Data. - Dino Carpentras; Adrian Lueders; Paul J. Maher; Caoimhe O'Reilly; Michael Quayle (J. Artif. Soc. Soc. Simul., 2023)