BMS - OMD research group

Sytske Wiegersma works at the University of Twente since December 2013. She completed her Master Educational Science & Technology in 2011. Her graduate research focused on the development and validation of complex IQ test items to differentiate on higher levels of intelligence. After graduating she worked as a Data Analyst at the department of Research Methodology, Measurement and Data Analysis for half a year, contributing to a study on sleep apnea by analyzing and validating several screening instruments using Item Response Theory.

After travelling through South America for one and a half year, she now works as a researcher at the University of Twente. She combines her PhD research with a part-time position at IGS Datalab, for which she develops policy and advises on handling and managing research data. Her PhD research on new methods and techniques for analyzing complex datasets currently focuses on the application of text mining techniques in screening for Post-traumatic Stress Disorder (PTSD), using spoken and written narratives. She has also contributed to a pilot study on fraud detection in social benefits, commissioned by the Dutch Ministry of Social Affairs and Employment.

Education

Additional courses

Professional experience

Publications

Wiegersma, S., Sools, A.M., Veldkamp, B.P. (in-press).  Exploring “Letters from the Future” by visualizing narrative structure. Proceedings of the 7^th Workshop on Computational Models of Narrative.

Eijsvogel, M.M., Wiegersma, S., Randerath, W., Verbraecken, J., Wegter-Hilbers, E., & Van der Palen, J. (2016). Obstructive Sleep Apnea Syndrome in Company Workers: Development of a Two-Step Screening Strategy with a New Questionnaire. Journal of Clinical Sleep Medicine, 12(4). doi: 10.5664/jcsm.5690.

Junger, M., Wiegersma, S., De Vries, T., & Veldkamp, B.P. (2016). Slachtofferschap bij cybercrime – A pilot study. (Confidential research report).

Wiegersma, S., Veldkamp, B.P., & De Vries, T. (2014). Magnitude and detection benefit fraud – A pilot study. (Confidential research report).

Presentations

Wiegersma, S., Sools, A.M., Van Noije, A.J., & Veldkamp, B.J. (2016). DIY Text Classification: The development of a supervised text classification tool. Presentation at the 7^th RCEC Workshop on IRT and Educational Measurement. Organized by RCEC, University of Twente, Enschede.

Wiegersma, S., Sools, A.M., & Veldkamp, B.P. (2016). Exploring “Letters from the Future” by visualizing narrative structure. Presentation at the Computational Models of Narrative conference (CMN), Satellite symposium of The Digital Humanities conference, Krakow.

Wiegersma, S., Sools, A.M., Veldkamp, B.P., & Westerhof, G.J. (2016). What works when for whom? Advancing therapy change process research by mining for therapy-related textual features in effective e-mental health interventions. Presentation at the Conference “Supporting Health by Technology VII”, Groningen. Organized by the Center for eHealth & Wellbeing Research (UT) and the University Medical Center Groningen.

Wiegersma, S. IGS Datalab. Research Data Support. Poster presentation at Netherlands eScience Center roadshow, organized by the Institute for Innovation and Governance Studies of the University of Twente.

Wiegersma, S., & Tongeren van, S.J. Presentation IGS Datalab at the annual “IGS PhD Day” of the University of Twente.

Wiegersma, S., & He, Q. Screening for PTSD using verbal features in self-narratives. A text mining approach. Presentation at the Summer School “Big Data in Clinical Medicine”, organized by the Department of Psychology, Health & Technology of the University of Twente.

Wiegersma, S., He, Q., & Veldkamp, B.P. Screening for PTSD: A text mining approach. Poster presentation at the International Symposium “The impact of great wars and beyond”, organized by ARQ Psychotrauma Specialist Group.

Other activities