Celestine Mendler-Dünner
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About
Celestine Mendler-Dünner is a Principal Investigator at the ELLIS Institute Tübingen, focusing on machine learning in social context and the role of prediction in digital economies. Her research aims to develop theoretical and practical tools for a safe, reliable, and equitable AI ecosystem. Key research areas include Performative Prediction, LLMs and Surveys, Power in Digital Economies, Algorithmic Collective Action, and Scalable Learning Algorithms. She has developed resources like the Folktexts datasets and the Powermeter Chrome extension. She also contributed to the IBM Snap ML library.
Platform
Features
• scalable learning algorithms
• algorithmic collective action strategies
• llms and surveys analysis
• performative prediction analysis
• practical tools for equitable ai
• practical tools for reliable ai
• theoretical tools for safe ai
• machine learning in social context
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