Spring Term 2022: Machine Learning in the Psychological and Behavioral Sciences
Increasing digitalization and methodological developments in machine learning promise to advance both explanation and prediction of human behavior. To fulfil this promise, however, researchers in the psychological and behavioural sciences will require advanced training and reflection concerning such developments and techniques. This EUCOR-funded seminar is a collobaration between the Center for Cognitive and Decision Sciences, Faculty of Psychology, University of Basel (Prof. Dr. Rui Mata; www.cds.unibas.ch), and the Cognitive and Consumer Behavior Lab, Karlsruhe Institute of Technology (Prof. Dr. Benjamin Scheibehenne; https://cub.iism.kit.edu). The seminar aims to provide MSc, PhD students, and early Postdoctoral Researchers with opportunities for training and discussion so as to fulfil the promise of adopting machine learning methods in the psychological and behavioural sciences.
Events
Date | Time | Topic | Presenter | Location |
|---|---|---|---|---|
Tuesday 22-Feb | 12:00-13:00 | SEMESTER STARTMachine Learning in the Psychological and Behavioral Sciences: IntroductionHofman, J.M., Watts, D.J., Athey, S. et al. Integrating explanation and prediction in computational social science. Nature 595, 181–188 (2021). https://doi.org/10.1038/s41586-021-03659-0 Literature (available on ADAM) | Rm 00.007 // Zoom | |
Tuesday 01-Mar | 12:00-13:00 | Machine Learning in the Psychological and Behavioral Sciences: Ethics and FairnessLo Piano, S. Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward. Humanit Soc Sci Commun 7, 9 (2020). https://doi.org/10.1057/s41599-020-0501-9 Mitchell, S., Potash, E., Barocas, S., D’Amour, A., & Lum, K. (2021). Algorithmic Fairness: Choices, Assumptions, and Definitions. Annual Review of Statistics and Its Application, 8(1), 141–163. https://doi.org/10.1146/annurev-statistics-042720-125902 Literature (available on ADAM) | Rm 00.007 // Zoom | |
Tuesday 01-Mar | 17:00 | Movie NightIn Silico https://insilicofilm.com | Rm 00.007 // Eventive | |
Tuesday 14-16 Mar | all day | WorkshopCognitive and Decision Sciences meets Cognition and Consumer Behavior Lab | Jugendstilhotel Trifels, Germany | |
Tuesday 22-Mar | 12:00-13:00 | Planning SessionDiscussion of workshop outcomes and discussion of additional readings for the semester | Rm 00.007 // Zoom | |
Tuesday 29-Mar | 12:00-13:00 | Big Data in PsychologyAdjerid, I., & Kelley, K. (2018). Big data in psychology: A framework for research advancement. American Psychologist, 73(7), 899. Literature (available on ADAM) | Rm 00.007 // Zoom | |
Wednesday 30-Mar | 18:00-21:00 | Movie NightAlphaGo: the Movie AlphaGo | Rm 00.007 // Zoom | |
Tuesday 05-Apr | 12:00-13:00 | Developmental Process of Stapferhaus ExhibitionsPresentation on how exhibitions at Stapferhaus like "Geschlecht. Jetzt entdecken." are developed. | Sonja Enz Research & Conceptual Design at Stapferhaus | Rm 00.007 // Zoom |
Monday 11-Apr | 10:00 -12:00 | CDS visits the Natural History MuseumDiscussion on the design and development of the exhibition „Erde am Limit” in the Natural History Museum. | Anna Pevzner and Mathias Kölliker (Project Lead and Curator Exhibitions at Natural History Museum Basel) | Natural History Museum Basel |
Tuesday 19-Apr | 12:00-13:00 | Brown Bag - Project PresentationSWOW and MYSWOW | Samuel Aeschbach | Rm 00.007 // Zoom |
Tuesday 26-Apr | 12:00-13:00 | Machine Learning Approaches for Clinical Psychology and PsychiatryDwyer, D. B., Falkai, P., & Koutsouleris, N. (2018). Machine Learning Approaches for Clinical Psychology and Psychiatry. Annual Review of Clinical Psychology, 14(1), 91–118. https://doi.org/10.1146/annurev-clinpsy-032816-045037 Literature (available on ADAM) | Rm 00.007 // Zoom | |
Tuesday 03-May | 12:00-13:00 | Using machine learning on video and audio recordings of psychotherapy sessions | Ronan Zimmerman & Martin Steppan | Rm 00.007 // Zoom |
Tuesday 10-May | 12:00-13:00 | CDS Lunch | Rm 00.007 | |
Tuesday 17-May | 12:00-13:00 | Visual performance evaluation of ML algorithms | Marcel Miché | Rm 00.007 // Zoom |
Tuesday 24-May | 12:00-13:00 | Paper Discussion: Personality Map | Dirk Wulff & Rui Mata | Rm 00.007 // Zoom |
Tuesday 31-May | 12:00-13:00 | Student Presentations and Wrap-up | Rm 00.007 // Zoom | |
Tuesday 07-June | 12:00-13:00 | Brown Bag - SuperdotTeaching session on visualizing complexity, at the intersection of design, journalism, communication and data science. | Darjan Hil and Nicole Lachenmeier (Co-Founders of Superdot) | Rm 00.007 // Zoom |
Brown Bag: The CDS brownbag (colloquium) takes place in the form of weekly one-hour group meetings and is a forum for discussion and training for MSc students and CDS staff members.
Hackathon: Every semester all students and CDS members participate in a joint programming hackathon aimed at developing data-analysis skills (data visualization, programming, statistical modeling). Whenever necessary and desired, MSc students can receive prior training (e.g., during the CDS brown-bag colloquium or through additional workshops) to ensure a productive hackathon. For an example of a recent project and associated Hackathon please click here.
If you have any questions related to CDS events, please contact Laura Wiles.
To see previous CDS events, please go to previous events.
Other events
Students and faculty staff of the CDS department are also invited to take part in sessions and workshops of related interdisciplinary networks. Please check their individual website for details.
