Kristin Jankowsky

Kristin Jankowsky is a Researcher in Psychological Diagnostics at the University of Kassel. She earned her Dr. phil. in Psychology (2024) with a dissertation on "Promises and Pitfalls of Machine Learning Modeling in Psychological Research", following an M.Sc. (2018) and B.Sc. (2016) in Psychology, and a B.A. (2014) in Sociology.

• Email: jankowsky@psychologie.uni-kassel.de
• Office: Room 3309A, Holländische Straße 36-38, 34127 Kassel

Research Interests:
Kristin specializes in applying Machine Learning to psychological research, focusing on predictive modeling for psychotherapy outcomes and suicide risk. She develops psychometric short scales using metaheuristics like Ant Colony Optimization, ensuring cross-cultural validity. Her work bridges personality measurement, scale construction, and longitudinal study design.

Scientific Contributions:
Her recent publications analyze:

• Machine learning's role in predicting psychotherapy dropout
• Algorithmic validation for cross-cultural personality scales
• Machine learning in clinical treatment response prediction

She received the Open Science Preis (2024) and Pearson Preis (2019) for her work.

Projects:
Kristin leads the DFG-funded project "Bewältigung der Replikationskrise in der Machine Learning Modellierung" (2025-2028) and contributes to the DFG's Personality Computing Netzwerk (since 2023).