Ecology meets infectious diseases

Ecology meets infectious diseases

This research community, sponsored by AIM and the NSF, provides training in mathematical modeling of infectious diseases, ecological dynamics, and eco-epidemiological systems.

Over the course of one year, starting in September 2025, the community will tackle a global problem — infectious disease emergence, spread, and control — by developing a global network of researchers trained in integrative quantitative tools for enhancing understanding of the complex interactions between ecological and epidemiological dynamics. By equipping participants with the skills to construct, analyze, simulate, and assess models, the community seeks to foster innovation in the field.  

This research community will meet between September 2025 and September 2026 and focus on training participants in recent advances in mathematical modeling of ecology, epidemiology, conservation, and control through lectures, activities, and discussions.  Participants will follow a comprehensive curriculum focused on population dynamics and infectious disease modeling that will cover topics in deterministic and stochastic models, data assimilation, network models, identifiability analysis, spatial statistics, machine learning, and more. By the program's conclusion, participants will be equipped to tackle relevant biological problems using innovative mathematical, statistical, and computational methods.   

Ultimately, this AIM Research Community aims to broaden the participation of scientists across the globe in mathematical modeling of complex eco-epidemiological dynamics, empower individuals in affected communities by providing comprehensive training, and foster a global network of scientists that incorporates diverse perspectives into finding solutions to improving global health. 

For updated information regarding community activities and plans, please see the research community website.

For more information email research@aimath.org