Martin Schoemann

Martin Schoemann is a Researcher affiliated with the Department of Methods of Psychology at Dresden University of Technology, Germany. His academic journey includes roles as a Research Associate (since 2022), Research Assistant at Aarhus University's Department of Management (2020-2022), and a PhD Student/Research Assistant at TU Dresden (2016-2020). He holds a Master of Science in Psychology (University of Erfurt) and a Bachelor of Arts in Psychology and Philosophy.

His research focuses on process dynamics in judgment and decision making, employing methods like cognitive modeling (DDM, ABM, DFT) and process tracing. Key domains include behavior change in climate/health contexts and advancing open science practices through replication studies. He has contributed to over 20 peer-reviewed articles since 2016, with recent work addressing consumer decision biases, anorexia nervosa decision dynamics, and computational models of narcissism.

His publications span journals such as Scientific Reports, Journal of Behavioral Decision Making, and PLoS Computational Biology. Schoemann teaches courses on psychological research methods, statistics, and R programming. His work emphasizes methodological rigor, reproducibility, and bridging computational modeling with real-world behavioral phenomena.