Iza Korsmit, Dr.
Postdoc
Iza Korsmit completed two bachelor’s degrees from 2009 to 2015 in Musicology and Psychology at the University of Amsterdam. This combination of disciplines was sparked by her interest in music perception and music-induced emotions. In 2017, Iza completed the interdisciplinary research master in Brain and Cognitive Sciences, also at the University of Amsterdam. During this time, she conducted research on individual differences in musical memory in a gamified citizen science project (with Dr. J. A. Burgoyne and Prof. Dr. Honing), and the acoustic specificities of misophonia triggers in behavioral and fMRI study (with Dr. Romke Rouw). From 2018 to 2023 she did her PhD in Music Psychology in Montreal (Canada) with Prof. Stephen McAdams at McGill University. Here, her research focused on topics of self-report measures of emotion, musical timbre, musical emotion, individual differences, and online research. The general aim of the research was to investigate how timbral qualities of music influence emotion perception and induction.
Since returning to the Netherlands, Iza has worked as a data steward and data scientist at the University of Amsterdam. As a data scientist she investigated the uses of gamification in experimental research. As a data steward, she supported researchers with following privacy and security guidelines, open science practices, and ethical evaluations.
Now, in the CoPAN lab, Iza is back to doing research as a postdoc. Her research now combines her previous interests of emotion and gamification. The project focuses on genuine facial expressions of emotions (i.e., not acted) and their link to subjective reports of emotion. A series of experiments will result in a database of genuine emotional expressions which can then be used in a mobile application developed for gamified training of emotion recognition and emotion regulation. The experiments are conducted in several public locations, such as the Nacht van Ontdekkingen (with the Lab on Wheels) and Artis Groote Museum (Amsterdam). This research is funded by an ERC Proof of Concept Grant.