Using graph databases and artificial intelligence methods to strengthen climate change and health research in vulnerable populations (PULSE-AI)

Focus topic:	Artificial Intelligence
Type of funding:	Individual funding programmes
Programme:	CZS Nexus
Funded institution:	Universität Heidelberg

Dr. Sandra Barteit focuses on the application of AI and digital technologies to improve global health, particularly in the context of climate change. She studied computer linguistics at the University of Heidelberg and is now head of a research group at the Heidelberg Institute for Global Health.

Goals

Global health faces significant challenges from climate change, with countries in the Global South particularly affected by the negative impacts of extreme heat. These effects can not only negatively impact health, cognitive performance and labor productivity, but also lead to increased mortality in these populations.

PULSE-AI is an innovative research project that focuses on the application of artificial intelligence and graph databases in global health research. The aim is to better understand and address the impact of climate change on the health of vulnerable populations.

The project will establish sensor-based studies on cohorts in existing health and demographic surveillance sites in Africa and Asia to provide deeper insights into heat exposure at the individual level. The generated data will be structured using graph databases and analyzed using AI methods to identify risk patterns and develop targeted interventions.