Neele Engelmann

Neele Engelmann

postdoctoral researcher

Ruhr-University Bochum, Germany


I’m a postdoctoral researcher at the Center for Law, Behaviour, and Cognition at Ruhr-University Bochum, Germany. I obtained my Ph.D. in Psychology from Georg-August-University Göttingen in 2022, with a project focusing on the role of causal representations in moral judgment (advisor: Michael R. Waldmann). My current research interests are causal reasoning, moral psychology, computational modelling, experimental philosophy and experimental jurisprudence. During my Ph.D., I have been teaching introductory statistics seminars, as well as supervising empirical Bachelor and Master projects in Cognitive Science.



  • Causal Reasoning
  • Moral Psychology
  • Experimental Philosophy
  • Experimental Jurisprudence
  • Computational Modelling
  • Open Science


  • Dr. rer. nat. Psychology, 2022

    Georg-August-University Göttingen, Germany

  • M.Sc. Psychology, 2017

    Georg-August-University Göttingen, Germany

  • B.Sc. Psychology, 2014

    Georg-August-University Göttingen, Germany


click title for abstracts

(2023). Murderer at the door! To lie or to mislead?. In A. Wiegmann (Ed): Lying, fake news, and bullshit. Bloomsbury (in press).

PDF Project

(2023). Who Caused It? Different Effects of Statistical and Prescriptive Abnormality on Causal Selection in Chains. In K. Tobia (Ed): The Cambridge Handbook of Experimental Jurisprudence. Cambridge University Press (in press).

PDF Project

(2023). The perceived dilution of causal strength. Cognitive Psychology.

PDF Project

(2022). Is lying morally different from misleading? An empirical investigation. In L. Horn (Ed): From lying to perjury: Linguistic and legal perspectives on lies and other falsehoods. De Gruyter.

PDF Project

(2021). Can a question be a lie? An empirical investigation. Ergo.

PDF Project

(2021). A Causal Proximity Effect in Moral judgment. Proceedings of the Annual Meeting of the Cognitive Science Society (43).

PDF Project

(2020). Entwicklungen und Probleme der Moralpsychologie zu Beginn des 21. Jahrhunderts. In N. Paulo & J. C. Bublitz (Hgs.): Empirische Ethik - Grundlagentexte aus Psychologie und Philosophie (pp. 139-175). Suhrkamp Verlag, Berlin.

(2020). Asking questions to provide a causal explanation – Do people search for the information required by cognitive psychological theories?. In E. A. Bar-Asher Siegal & Boneh N. (Eds): Perspectives on Causation (pp. 121-147). Springer, Cham.

(2019). Moral reasoning with multiple effects: justification and moral responsibility for side effects. Proceedings of the Annual Meeting of the Cognitive Science Society 41 (pp. 1703-1709).

PDF Project

(2014). Foraging for alternatives: ecological rationality in keeping options viable. Proceedings of the Annual Meeting of the Cognitive Science Society 36.


Teaching & Supervision

I have been co-teaching introductory statistics since winter 2017, leading practical exercise and discussion sessions for first-year psychology students. The seminar “Quantitative Methods I” covers basics of research design and hypothesis testing, data visualisation, probability theory, descriptive and inferential data analysis, and power analyses. Practical exercises are held using MS Excel. “Quantitative Methods II” focuses on the General Linear Model and its various applications (multiple linear regression and its assumptions, ANOVA, contrast analyses, logistic regression, multilevel models). The practical exercises are conducted in R and RStudio.

  • Winter 2021/22: Quantitative Methods I
  • Summer 2021: Quantitative Methods II
  • Winter 2020/21: Quantitative Methods I
  • Summer 2020: Quantitative Methods II
  • Winter 2019/20: Quantitative Methods I
  • Summer 2019: Quantitative Methods II
  • Winter 2018/19: Quantitative Methods I
  • Summer 2018: Quantitative Methods II
  • Winter 2017/18: Quantitative Methods I

In addition, I have supervised and co-supervised a number of empirical Bachelor and Master projects in the fields of causal and moral reasoning and experimental philosophy.