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 START
Machine Learning in the Psychological and Behavioral Sciences: Introduction

Hofman, J.M., Watts, D.J., Athey, S. et al. Integrating explanation and prediction in computational social science. Nature 595181–188 (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 Fairness

Lo Piano, S. Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward. Humanit Soc Sci Commun 79 (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 Night

In Silico https://insilicofilm.com 

 Rm 00.007 // Eventive

Tuesday

14-16 Mar

all day
Workshop

Cognitive and Decision Sciences meets Cognition and Consumer Behavior Lab 

 Jugendstilhotel Trifels, Germany

Tuesday

22-Mar

12:00-13:00
Planning Session 

Discussion 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 Psychology 

Adjerid, 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 Night

AlphaGo: the Movie AlphaGo

 Rm 00.007 // Zoom

Tuesday

05-Apr

12:00-13:00
Developmental Process of Stapferhaus Exhibitions

Presentation 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 Museum

Discussion 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 Presentation

SWOW and MYSWOW

Samuel AeschbachRm 00.007 // Zoom

Tuesday

26-Apr

12:00-13:00
Machine Learning Approaches for Clinical Psychology and Psychiatry

Dwyer, 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 SteppanRm 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 MataRm 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 - Superdot

Teaching 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 BagThe 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. 

HackathonEvery 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.