DEPRIMAP participated in the 2025 Nordic Workshop on AI for Climate Change, held in Gothenburg, Sweden. Stefanos Georganos presented on the role of AI and geospatial methods in addressing urban inequality under climate stress, showcasing work on thermal discomfort mapping, population estimation, and infrastructure access in Sub-Saharan African cities. The workshop fostered valuable dialogue across disciplines and opened new doors for Nordic collaborations on AI for urban resilience.
This workshop recap brings together insights from leading voices in urban poverty and population mapping. From community-driven slum data to AI-based vulnerability models and the looming crisis of census funding, the sessions explored how we can build inclusive, scalable, and resilient urban data ecosystems. With examples from Nairobi to Mumbai and beyond, this post highlights both the innovations and institutional challenges shaping the future of global urban monitoring.
The workshop at the University of St. Gallen brought together experts and stakeholders from around the world to discuss innovative approaches for mapping informal settlements and addressing urban vulnerabilities. DEPRIMAP was introduced as a new initiative aligned with these efforts, focusing on scalable frameworks to support SDG 11.1.1 and improve data-driven urban planning.
DEPRIMAP is a research funded by FORMAS (Swedish Research Council, application 2023-01210) involving KAU (Karlstad University, Sweden)
