Qualification programme of the RTG in the winter semester 2023/2024
In the winter semester 2023/2024 a number of events in the framework of the Qualification programme of the RTG 2753 took place.
On the 4th to the 5th of October, Research-oriented Clinical Seminars kicked off with two events led by Dr. Björn Schlier, Kai Härpfer and Hannes Carsten at the Universität Hamburg.
Clinical seminars, which are a key element of the Qualification programme of the RTG, aim to provide our PhD students and postdocs with an opportunity to learn up close about various specific mental disorders in which aberrant learning and memory processes are critical.
The seminars on the 4th and 5th of October provided an introduction into clinical-psychological diagnostics, and included practical role-playing exercises as well as practice of SCID seminar in small groups.
These events were followed by individual appointments for patient visits, attendance at treatment consultations and neuropsychological tests at UKE over the course of the semester.
Clinical seminars will continue in the summer semester with events which will focus on anxiety and OCD, psychosis as well as PTSD.
From the 8th to the 10th of November we had the pleasure of having Dr. Tzvetan Popov from the Universität Konstanz offer a workshop on “EEG in Fieldtrip”. Over the course of the 3-day workshop the participants were able to benefit from Dr. Popov’s extensive international teaching experience on the topic. In addition to the valuable lectures and hands-on sessions of day 1 and day 2, the participants were offered a chance to work on their own data on the final day of the workshop.
Finally, on the 7th to the 8th of February Dr. Sebastiaan Mathôt from the University of Groningen conducted a workshop on “Eyetracking and Pupillometry”, which was met with high demand. After laying down the theoretical background of pupillometry and eyetracking, the instructor introduced the software OpenSesame and guided the participants through data collection in the eyetracker lab, as well as subsequent data analysis.