3 accepted papers
Agent-based simulations have an untapped potential to inform social policies on urgent human development challenges in a non-invasive way, before these are implemented in real-world populations. This paper responds to the request from non-profit and governmental organizations to evaluate policies un
The global rise in homelessness calls for urgent and alternative policy solutions. Non-profits and governmental organizations alert about the many challenges faced by people experiencing homelessness (PEH), which include not only the lack of shelter but also the lack of opportunities for personal de
Recent advancements in AI have allowed for more nuanced agent-based models (ABMs). These simulations offer a non-invasive way to evaluate policies in diverse and complex social contexts. Our project focuses on developing ABMs to examine the impact of legal and social norms on inequity, particularly