2024 MIDAS Postdoctoral Fellowship Programs Orientation & AI Bootcamp
October 2024 2024 MIDAS Postdoctoral Fellowship Programs Orientation & AI Bootcamp
The Michigan Institute for Data & AI in Society (MIDAS) hosted the 2024 MIDAS Postdoctoral Fellowship Programs Orientation & AI Bootcamp. AIDD Lab members actively participated in the event and presented their research in the poster session.
Schmidt AI in Science Postdoctoral Fellow Dr. Xin Wei presented on “Advancing Regional Landslide Susceptibility Assessment Leveraging Integrated AI-Physics Solutions”, Schmidt AI in Science Postdoctoral Fellow Dr. Christin Salley discussed “Assessing Community Needs During Disasters: Transfer Learning for Fusing Limited Georeferenced Data from Crowdsourced Applications at the Community Level”, Simone Curtis presented on “Text Mining to Build a Global Atlas of Disaggregated Earthquake Fatalities”, and Major Zeng shared her research findings on “Modeling Rural Service Access and Isolation in Disasters: A Case Study of Earthquake-Triggered Landslides in Nepal”.
The event also featured a series of insightful lectures, such as “Integrating Scientific Models and ML” by Alexander Rodríguez and “The Problem of Alignment in AI Systems with a Case Study Using a LLM for Sustainability Science” by Prof. Bill Currie. Additionally, the Early Career Panel, with speakers Prof. Estéfan Garcia, Prof. Lía Corrales, and Prof. Vijay Subramanian, offered valuable career advice, and the Carpentry Presentations provided hands-on learning opportunities for participants.
