maepimschallenge/MAEPiMS-2.0-2026-

MAEPiMS 2.0 a free, pan-African competition in Mathematics, Epidemiology, Machine Learning & Social Indicators. Researchers apply modelling & ML to real-world infectious disease challenges. Three tracks: Team, Individual & Female Category. Top submissions supported to journal publication. MAEPiMS 2.0 (2026) Mathematics | Epidemiology | Machine Learning | Social Indicators A multidisciplinary, pan-African competition designed for the next generation of thinkers to apply their skills to solve real-world challenges. This initiative focuses on the surveillance, prediction, and analysis of infectious diseases by integrating mathematical modelling, machine learning, and socioeconomic indicators. **100% Free to Enter | Powered by The Adejimi Adeniji Foundation** ##Challenge / Purpose To task participants with developing actionable solutions and policy recommendations for public health and societal impact across Africa. ## Aims - Equipping the next generation of thinkers with challenging tasks to enhance their skills for academic and community impact. - Utilizing mathematical modelling and machine learning to provide actionable solutions and recommendations for policymakers. ## Objectives - To foster interdisciplinary research between mathematics and other fields. - The integration and development of machine learning algorithms and mathematical modelling for research focused on infectious disease, social modelling, prediction, and interventions. ## What's New in the 2nd Edition - **Pan-African scope** — open to researchers across the entire continent. - **Three Award Categories** — Team, Individual, and a brand-new **Female Category** dedicated to celebrating and empowering women in STEM. - **Publication pathway** — outstanding submissions (top three per category) will be supported through to publication in high-impact, peer-reviewed journals, with participants credited as co-authors. ## Award Categories - **Team Category** — teams of 3–4 competing for the grand prize. - **Individual Category** — compete independently and showcase your analytical brilliance. - **Female Category** — a dedicated track recognising outstanding women researchers, including mentorship and scholarship opportunities. ## Why Participate? - Apply your skills to tackle real-wo …