The Summer School will be taught by a number of experts in the field of computational cognitive modeling.
Stephan Lewandowsky, University of Bristol, UK (lead organizer)
Stephan Lewandowsky is a cognitive scientist at the University of Bristol. His research focuses on human memory and decision making, with a particular emphasis on how people update their memories and respond to corrections of misinformation.
Klaus Oberauer, University of Zurich, Switzerland (lead organizer)
Klaus Oberauer uses mathematical models as well as connectionist network models to model working memory and its relation to attention, cognitive control, and long-term memory. He also works on cognitive measurement models for individual-differences research.
Gordon Brown, University of Warwick, UK
Gordon Brown leads the Behavioural Science Group in the Department of Psychology at the University of Warwick. Most of his main current research interests involve cognitive modelling, and lie at the interface between economics and cognitive/social psychology.
Chris Donkin, Ludwig Maximilian University of Munich, Germany
Chris Donkin is a cognitive psychologist at LMU Munich who uses computational and mathematical models to help study various aspects of memory and decision-making.
Laura Fontanesi, University of Basel, Switzerland
Laura Fontanesi studies the cognitive and neural bases of reinforcement learning in humans. She develops computational models that can account for individual differences and are biologically plausible. She has developed a Python library to make stan models easy to fit.
Jana Jarecki, University of Basel, Switzerland
Jana Jarecki combines data from behavioral experiments with a large variety of formal cognitive models to study decision making under risk and certainty and to understand how the mind processes information. Her R package cognitivemodels can simulate, fit, compare, and test cognitive models.
Beatrice Kuhlmann, University of Mannheim
Beatrice G. Kuhlmann uses multinomial processing tree models to study episodic (meta-)memory and aging and is co-director of a scientific network comparing different MPT estimation approaches from frequentist and Bayesian frameworks in a multiverse analysis.
Casimir Ludwig, University of Bristol, UK
Casimir Ludwig is currently a Leverhulme Research Fellow, working on likelihood-free models of gaze control. He is interested in perception, decision making and action. His work involves linking decision theoretic models with action selection and execution, but he also dabbles in models of learning.
Michael D. Nunez, University of Amsterdam, The Netherlands
Michael Nunez conducts research in the topics of model-based cognitive neuroscience, decision-making, attention, EEG, and electrophysiology. He develops mathematical theories and methods to find parameter estimates of models that explain and predict both behavior and neural data. He often uses hierarchical Bayesian statistical modeling and signal processing methods.
Joachim Vandekerckhove, University of California, Irvine
Joachim Vandekerckhove’s research interests include cognitive modeling, statistical inference, data fusion, psychometrics, meta-science, and the development of robust research methods that improve on classical methods with modern technologies.
