Congratulations to Professor Ravinder Bhavnani, who has received an SNSF grant for his new research project, "Artificial Intelligence for Monitoring Malnutrition (AIMM)". Hosted by the Global Governance Centre, the project explores the introduction of a AI-based tool in the context of the Sustainable Development Goal 2 (SDG 2)—ending global hunger and undernutrition.
More About the project
The project "Artificial Intelligence for Monitoring Malnutrition (AIMM)" examines the introduction of a low-cost, household-operated and AI-based tool for monitoring undernutrition. Implemented in the Indian state of Maharashtra in collaboration with the Center for Artificial Intelligence (CAI) at FLAME University in Pune, India, AIMM has the objectives to Enhance accuracy and predictive capacity, provide a low-cost and real-time alternative, empower caregivers and increase adaptability.
Click here to find out more about the project.
About Ravinder Bhavnani
Ravinder Bhavnani is Professor and Head of the Political Science & International Relations Department and is the Principal Investigator of the project. Bhavnani's research explores the micro-foundations of violence using data-driven modelling. More specifically, his work examines the endogenous relationships among: (i) the characteristics, beliefs, and interests of relevant actors; (ii) social mechanisms and emergent social structures that shape attitudes, decision-making and behaviour; and (iii) patterns of violence. His articles appear in the American Journal of Political Science, Comparative Politics, Complexity, Journal of Artificial Societies and Social Simulation, Journal of Conflict Resolution, Journal of Peace Research, Journal of Politics, Nature Humanities and Social Science Communications, Political Research Quarterly and Political Psychology among others. His recent research explores the drivers of acute child malnutrition in conflict settings, as well as use of AI-enhanced techniques to measure, report and predict undernutrition in these hard to access areas.