AI for Dynamic Urban Mapping - With Researcher Shanshan Bai

Imagine using social media to build a “living map” of our cities. Meet Shanshan Bai, MCML junior member and PhD student PhD student in the group of our PI Xiaoxiang Zhu, who’s decoding the world around us with geo-tagged social media data.

Shanshan’s research uses AI, including large language models, to understand the function of buildings based on the context of social media posts. This goes beyond traditional mapping, offering crucial and real-time insights for everything from urban planning to emergency response where official records might be outdated.

Watch the video to learn how AI can shape a safer online environment. This video is part of the project KI Trans, an initiative in collaboration with TüftelLab and Uta Hauck-Thum from Ludwig-Maximilians-Universität München, focused on equipping teachers with the essential skills to navigate AI in schools. The project is funded by the Bundesministerium für Forschung, Technologie und Raumfahrt as part of DATIpilot.