Integrating behavioral experimental findings into dynamical models to inform social change interventions (opens in new tab)

arXiv:2405.13224v2 Announce Type: replace-cross Abstract: Addressing global challenges often involves stimulating the large-scale adoption of new products or behaviors. Research traditions that focus on individual decision making suggest that achieving this objective requires identifying the drivers of individual discrete adoption choices. On the other hand, computational approaches rooted in complexity science focus on maximizing the propagation of a given product or behavior throughout soci...