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Celestine AI

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About

Celestine AI is a research initiative led by Elia Schmid and affiliated with the ELLIS Institute, Max Planck Institute for Intelligent Systems, and Tübingen AI Center. Schmid's work concentrates on machine learning in social contexts and the significance of prediction within digital economies. The goal is to create tools that foster a safe and trustworthy digital ecosystem benefiting society. His experience includes leadership roles at IBM Research Zurich, where he co-designed the IBM Snap ML library, and various esteemed academic fellowships. Schmid has received multiple awards for his impactful research and is committed to mentoring the next generation of researchers through postdoc and PhD opportunities in related programs. The initiative has been recognized in reputable publications and hosts various speaking engagements concerning algorithmic fairness and social statistics.

Platform
Web
Keywords
machine learningresearchalgorithmic fairnessdigital economytübingen ai
Task
machine learning
Features

focus on machine learning in social contexts

development of prediction tools for digital economies

research in algorithmic fairness

hosting honored workshops and talks

postdoctoral and phd mentoring

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