Conference Agenda

Session Overview

Date: Tuesday, 30/Sept/2025
8:30am - 9:00am	Registration Location: Opposite Hörsaal 1a
9:00am - 10:30am	Symposium: New Approaches to Analysing Parameter Heterogeneity in Models of Response Processes and Temporal Dynamics Location: Hörsaal 1a Chair: Thorsten Meiser	Symposium: Improving Dynamic Modeling of Intensive Longitudinal Data Location: Raum L 113 Chair: Holger Brandt	Methodological challenges in educational and clinical context Location: Raum L 115 Chair: Talha Sajjad	Current Topics in Measurement Location: Raum L 116 Chair: Can Gürer
10:30am - 11:00am	Coffee Break
11:00am - 12:00pm	Keynote: Measuring Progress with an Interaction Map Approach for Longitudinal Assessment Data Location: Hörsaal 1a Minjeong Jeon, University of California at Los Angeles, USA
12:00pm - 1:30pm	Lunch Break
1:30pm - 3:00pm	Symposium: Machine Learning in Psychology Part I: Evaluation and Guidelines for Using Machine Learning in Psychological Research Location: Hörsaal 1a Chair: Mirka Henninger	Intensive longitudinal data Location: Raum L 113 Chair: Lennart Nacke	Missing data Location: Raum L 115 Chair: Kai Jannik Nehler	Measurement: Threats and Disengagement Location: Raum L 116 Chair: Eva Zink
3:00pm - 3:30pm	Coffee Break
3:30pm - 5:00pm	Symposium: Machine Learning in Psychology Part II: New Advancements in Statistical Methods Using Machine Learning and AI Location: Hörsaal 1a Chair: Susanne Frick	Applied Longitudinal Studies Location: Raum L 113 Chair: Tiago Ferreira	Software Location: Raum L 115 Chair: Kenneth Koslowski	Cognitive modeling Location: Raum L 116 Chair: Julius Fenn
5:00pm - 6:15pm	Poster Location: in front of lecture halls on the second floor
7:00pm - 11:00pm	Dinner Casa Carlotta The conference dinner will take place on September 30th at a unique venue close to the conference location (https://www.casa-carlotta.com/). Participation in the conference dinner is optional and may be booked separately at a price of 68 EUR per person. The number of participants is limited to 80. Tickets will be sold on a first come first serve basis.