Neele Engelmann

postdoctoral researcher

Ruhr-University Bochum, Germany

Biography

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.

Interests

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

Education

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

Publications

click title for abstracts

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

PDF Project

Neele Engelmann, Lara Kirfel (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

Simon Stephan, Neele Engelmann, Michael R. Waldmann (2023). The perceived dilution of causal strength. Cognitive Psychology.

PDF Project

Alex Wiegmann, Neele Engelmann (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

Neele Engelmann, Michael R. Waldmann (2022). How causal structure, causal strength, and foreseeability affect moral judgments. Cognition.

PDF Project

Neele Engelmann, Michael R. Waldmann (2022). How to weigh lives. A computational model of moral judgment in multiple-outcome structures. Cognition.

PDF Project

Emanuel Viebahn, Alex Wiegmann, Neele Engelmann, Pascale Willemsen (2021). Can a question be a lie? An empirical investigation. Ergo.

PDF Project

Neele Engelmann, Michael R. Waldmann (2021). A Causal Proximity Effect in Moral judgment. Proceedings of the Annual Meeting of the Cognitive Science Society (43).

PDF Project

Alex Wiegmann, Neele Engelmann (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.

York Hagmayer, Neele Engelmann (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.

Neele Engelmann, Michael R. Waldmann (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

York Hagmayer, Neele Engelmann (2014). Causal beliefs about depression in different cultural groups — what do cognitive psychological theories of causal learning and reasoning predict?. Frontiers in Psychology (5, 1303).

PDF

Hansjörg Neth, Neele Engelmann, Ralf Mayrhofer (2014). Foraging for alternatives: ecological rationality in keeping options viable. Proceedings of the Annual Meeting of the Cognitive Science Society 36.

PDF

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.