Prof. Dr. Clemens Stachl

I am an Associate Professor of Behavioral Science and Director of the Institute of Behavioral Science and Technology at the University of St. Gallen, Switzerland.

Before, I held positions as postdoctoral researcher at the Media and Personality Lab (Gabriella Harari) at the Department of Communication at Stanford University and at the Department of Psychology at the Ludwig-Maximilians-Universität München (Markus Bühner).

My research is focused on the investigation of human behavior in different contexts, individual differences, and life outcomes by methods from the computational and social sciences. I use machine learning and computational modeling to describe, explain, and predict human behavior and psychological characteristics.

I am interested in how computational methods and AI can be used to improve and facilitate people's lives, how human-computer interaction can be improved by considering individual differences, and what consequences the widespread (and unreflected) use of computational systems can have on individuals and society at large.

I am sometimes active on Bluesky and LinkedIn.

Keynote at the 17th Biennial Conference of the Society of Differential Psychology, Personality Psychology and Psychological Assessment (DPPD) 

25.09.2023 , Salzburg, AT, EU

Machine Learning Workshop at the UZH 

29. & 30.03.2021, Online/Zurich, CH

Together with Florian Pargent, I gave the all-new version of our Introduction to Machine Learning in R workshop (featuring the new mlr3) for the OB reading group of Jochen Menges/Lauren Howe, at the University of Zurich.

SPSP 2021 Convention

14.02.2021, Online

I am exited that I will be giving a talk on talk on explainable machine learning for mobile personality sensing at SPSP pre-conference on the Psychology of Media and Technology.

I will also give another talk on explainable machine learning in the professional development session New Developments in Psychological Assessment and How to Use Them,organized by Sandra Matz (Columbia Business School) and Friedrich Götz (Cambridge University).

Invited talk at the University of Regensburg

17.12.2020, Online/Regensburg, DE, EU

I gave an invited talk on mobile sensing in educational research in the colloquium of Prof. Sven Hilbert, at the University of Regensburg.

Invited talk at the University of Hamburg

15.12.2020, Online/Hamburg, DE, EU

I gave an invited talk on mobile sensing in personality psychology in the colloquium of Prof. Jenny Wagner, at the University of Hamburg.

Machine Learning workshop 

25.08.2020, Online/Zurich, CH

I gave a online short-version of the Introduction to Machine Learning in R workshop (developed by myself and Florian Pargent) at the University of Zurich.

USC - Summer School 

04.08.2020, Online/Santa Barbara, CA, USA

I will be giving a talk on the predictiveness of behavioral smartphone data for personality traits, at the USC - summer school on Sensor-Based Behavioral Machine Learning

Our Research on Personality Prediction from Daily Behavior was published in PNAS

New articles out

Stachl, C., Pargent, F., Hilbert, S., Harari, G. M., Schoedel, R., Vaid, S., … Bühner, M. (2020). Personality Research and Assessment in the Era of Machine Learning. European Journal of Personality, per.2257. https://doi.org/10.1002/per.2257 

Schoedel, R., Pargent, F., Au, Q., Völkel, S. T., Schuwerk, T., Bühner, M., & Stachl, C. (2020). To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns. European Journal of Personality, per.2258. https://doi.org/10.1002/per.2258 

Völkel, S. T., Schödel, R., Buschek, D., Stachl, C., Winterhalter, V., Bühner, M., & Hussmann, H. (2020). Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3313831.3376210

SPSP 2020 Convention

Pre-Conference on Personality Dynamics, Processes, and Functioning

27.02.2020, New Orleans, LA, USA

I am organizing a symposium on "Big Data, Machine Learning and Mobile Sensing - New Directions in Personality Research", featuring Ramona Schödel (LMU-Munich, Psychology) and Poruz Khambatta (Stanford Business School). 

Issues in Explainable AI: Blackboxes, Recommendations, and Levels of Explanation

30.09.2019 - 02.10.2019

Uni-Saarland, Saarbrücken, Germany.

1. . 30.09.2019. I will give a talk on the importance of interpretable machine learning for research and assessment in psychology.

2. 02.10.2019, 18:30h. I will be participating in a panel discussion on explainable AI.