Preventing adverse health outcomes is complex due to the multi-level contexts and social
systems in which these phenomena occur. To capture both the systemic effects, local …

Abstract Multi-Level Agent-Based Modeling (ML-ABM) has been receiving increasing
attention in recent years. In this paper we present LevelSpace, an extension that allows …

Emotions are considered as an important driving force for the evolution of online public
opinion especially in the crisis. However, previous studies on public emotions in the crisis …

Participatory simulations of disease spread were conducted using wearable computers
(badges). Participants interacted (simulating various forms of social network exchange) …

Agent-based modeling (ABM) plays a critical role in complex systems research by allowing
researchers to examine how individual-to-individual interactions collectively give rise to …

Traditional compartmental models in epidemiology assume perfect, homogeneous mixing in
the population. More recently, a network science perspective has been integrated into …