Neele Engelmann

Neele Engelmann is a postdoctoral researcher at the Max Planck Institute for Human Development, working within the Center for Humans and Machines in Berlin, Germany. She obtained her Dr. rer. nat. in Psychology (2022), M.Sc. (2017), and B.Sc. (2014) from Georg-August-University Göttingen. Her research bridges psychology, philosophy, and law, focusing on causal and moral reasoning, human-AI interaction, and computational modeling.

• Ph.D. Psychology, Georg-August-University Göttingen (2022)
• M.Sc. Psychology, Georg-August-University Göttingen (2017)
• B.Sc. Psychology, Georg-August-University Göttingen (2014)

Her research explores causal reasoning in moral judgment, including how statistical and prescriptive abnormality affect causal selection, and how drift diffusion models can explain rule enforcement processes. Recent studies examine human-AI interaction dynamics, particularly how framing (not transparency) reduces cheating in algorithmic delegation, and the computational modeling of moral decision-making in multi-outcome scenarios.

Key publication trends include: moral psychology analyses of lying vs. misleading, experimental jurisprudence studies on legal-moral interface, and cognitive modeling of judgment mechanisms. She co-teaches statistics courses for psychology students using Excel and R, and has supervised numerous Bachelor's and Master's projects in causal/moral reasoning and experimental philosophy.

Engelmann contributes to the Center for Humans and Machines, conducting interdisciplinary research that connects cognitive psychology with computational modeling and legal reasoning frameworks. Her work spans empirical investigations, theoretical modeling, and methodological innovations like hierarchical drift diffusion analysis.