Centre for Human and Machine Intelligence

A Cross-Disciplinary Hub for Decision Science and Fundamental AI Research

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The Centre for Human and Machine Intelligence (HMI) aims to produce and disseminate excellent and original research in Decision Science, Behavioral Science, Machine Learning, and Artificial Intelligence. Here, we strive to advance human-centric and trustworthy AI research by fostering collaborations with institutions and companies that share our goals and values. We approach problem-solving in a genuinely cross-disciplinary fashion, utilizing tools from cognitive and computational science, physics, biology, ecology, political science, finance, management, and philosophy.

Prof. Dr. Jan Nagler, Director of HMI

Our Members

Vahe Andonians

Vahe Andonians

Senior Lecturer
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Dr. Pia Domschke

Senior Lecturer in Applied Mathematics and Quantitative Methods
Lucas

Prof. Dr. Lucas Böttcher

Assistant Professor of Computational Social Science
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Prof. Dr. Florian Ellsaesser

Assistant Professor of International Entrepreneurship
Rainer Hegselmann

Prof. Dr. Rainer Hegselmann

Professor of Philosophy
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Prof. Dr. Ronald Klingebiel

Professor of Strategy
Sebastian Koehler+1

Prof. Dr. Sebastian Köhler

Assistant Professor of Philosophy
Jan Nagler

Prof. Dr. Jan Nagler

Associate Professor of Computer Science / Director of HMI Centre
Peter Rossbach

Prof. Dr. Peter Roßbach

Professor of General Business Administration and Business Informatics
Francesco Sangiorgi

Prof. Dr. Francesco Sangiorgi

Associate Professor of Finance
Christine Tiefensee

Prof. Dr. Christine Tiefensee

Associate Professor of Philosophy
Grigory Vilkov

Prof. Dr. Grigory Vilkov

Professor of Finance
Gregory Wheeler

Prof. Dr. Gregory Wheeler

Professor of Philosophy and Computer Science
Jens Witkowski

Prof. Dr. Jens Witkowski

Assistant Professor of Computer Science and Management

The principal aims of HMI:

  • To produce and disseminate excellent and original research in Decision Science, Behavioral Science, Machine Learning and Artificial Intelligence to advance our understanding of judgment and decision-making.
  • To become the premier European centre at the intersection of the decision sciences, artificial intelligence and machine learning, and business, connecting theory to practice at the centre of European finance.
  • To stimulate and coordinate work worldwide at the intersection of finance, data science, and the decision sciences.
  • To foster collaboration with researchers from adjacent areas, including cognitive science, neuroscience, biology, political science, and philosophy.
  • To contribute to the responsible and ethical development of artificial intelligence in collaboration with government and corporate initiatives.

Our Partners

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