Decision Making

Ulrich Ettinger is Professor in the Department of Psychology at the University of Bonn, where he heads the Section of Cognitive Psychology and Experimental Clinical Psychology. His research focuses on the neural mechanisms of cognitive and oculomotor functions and how these vary in healthy individuals and those with psychiatric disorders. He employs multimodal approaches including experimental psychology, structural and functional neuroimaging, oculography, psychometric assessments, and experimental psychopharmacology. He obtained his PhD in psychology from Goldsmiths, University of London, in 2003, and subsequently held research and teaching positions at McGill University, King's College London and the University of Munich, before being appointed by the University of Bonn in 2012.

Bert Heinrichs serves as a Professor for Ethics and Applied Ethics at the Institute for Science and Ethics (IWE), University of Bonn and is head of the “Neuroethics and Ethics of AI” working group at Forschungszentrum Jülich. He received his doctorate in philosophy in 2007 and completed his habilitation in 2013. He previously worked at the German Reference Center for Ethics in the Life Sciences, where he led the scientific department from 2007. His work is primarily concerned with problems of neuroethics, the ethics of AI, research ethics and medical ethics. He is also interested in philosophy of mind and problems at the intersection between philosophy and psychology.

Carsten Murawski is Professor in the Department of Finance and Director of the Centre for Brain, Mind and Markets, a centre for interdisciplinary research on human and machine decision-making at the University of Melbourne. He holds a PhD in finance from the University of Zurich. His research and teaching areas are decision theory, experimental economics, decision neuroscience, consumer decision-making, computational psychiatry and cognitive science. Most of his current research investigates the neurocognitive computations underlying decision-making and how computational resource constraints affect decision-making in healthy and clinical populations. He has also worked on reinforcement learning, intertemporal choice and preference formation.