About the Authors

Shravan Vasishth (http://vasishth.github.io) is professor of Psycholinguistics at the University of Potsdam, Germany. He holds the chair for Psycholinguistics and Neurolinguistics (Language Processing). After completing his Bachelor’s degree in Japanese from Jawaharlal Nehru University, New Delhi, India, he spent five years in Osaka, Japan, studying Japanese and then working as a translator in a patent law firm in Osaka. He completed an MS in Computer and Information Science (2000-2002) and a PhD in Linguistics (1997-2002) from the Ohio State University, Columbus, USA, and an MSc in Statistics (2011-2015) from the School of Mathematics and Statistics, University of Sheffield, UK. He is a chartered statistician with the Royal Statistical Society (ID: 128307), and a member of the International Society for Bayesian Analysis. His research focuses on computational modeling of sentence processing in unimpaired and impaired populations, and the application of mathematical, computational, experimental, and statistical methods (particularly Bayesian methods) in linguistics and psychology. He runs an annual summer school, Statistical Methods in Linguistics and Psychology (SMLP): vasishth.github.io/smlp. He regularly teaches short courses on statistical data analysis (Bayesian and frequentist methods).

Daniel J. Schad (https://danielschad.github.io/) is a professor in the department of Psychology at the Health and Medical University Potsdam, Germany. He studied Psychology at the University of Potsdam, Germany, and at the University of Michigan, Ann Arbor, USA. He did a PhD in Cognitive Psychology at the University of Potsdam, working on computational models of eye-movement control and on mindless reading. He then did a five-year post-doc in the novel field of Computational Psychiatry at the Charité, Universität Berlin, Germany (partly also at the University of Potsdam), with research visits at the ETH Zürich, Switzerland, and the University College London, UK, working on model-free and model-based decision-making and Pavlovian-instrumental transfer in alcohol dependence, and on the cognitive and brain mechanisms underlying Pavlovian conditioning. He has worked as a postdoctoral researcher at the University of Potsdam, conducting research on quantitative methods in Cognitive Science, including contrasts, properties of significance tests, Bayesian Workflow, and Bayes factor analyses.

Audrey Bürki (https://audreyburki.github.io/Website/) leads a research group at the University of Potsdam, Germany. She holds a Diploma in Speech Pathology from the University of Neuchâtel (Switzerland), a MA in Phonetic Sciences from the University of Paris 3 (France) and a PhD in linguistics from the University of Geneva (Switzerland). After her PhD she worked as a post-doc at the Universities of York (UK) and Aix-Marseille (France), and as a lecturer in Methodology and Applied statistics at the University of Geneva. Her research combines a theoretical interest for the cognitive architecture of the language production system and a methodological interest for the paradigms and statistical tools that allow collecting and analyzing the relevant data. Her research recruits a variety of methods, including phonetic analyses, corpus analyses, response-time experiments, eye-tracking and Event-Related Potentials.

Reinhold Kliegl (https://www.uni-potsdam.de/de/trainingswissenschaft/mitarbeiter/rkliegl.html) is a senior professor in the Division of Training and Movement Science, at the University of Potsdam, Germany. His research interests are… to-do