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

2010 – 2011	Master Educational Science and Technology, University of Twente. Specialization Human Resource Development combined with Educational Management, Evaluation and Assessment.
April – May 2009	Spanish course, Sucre Bolivia Daily, private lessons for two months.
2006 – 2010	Bachelor Educational Science and Technology, University of Twente. Minor International Management, internship at Centro Educativo Ñanta, Bolivia.

Additional courses

February – May 2014

Psychometrics

Course from the Research Master Methodology and Statistics for the Behavioural, Biomedical and Social Sciences. Offered by University of Twente, given by Prof. Dr. C.A.W. Glas

January – April 2014

Statistical Learning

Online course offered by Stanford University, given by Prof. T. Hastie and Prof. R. Tibshirani

January 2014

Workshop Presentation skills

Organized by RCEC, given by P. Hermans

Professional experience

December 2013 – present	PhD student and employee Datalab, University of Twente. The PhD project focuses on text mining and analyzing complex datasets. Tasks for the Datalab consist of developing policy and advising on handling and managing research data.
August – December 2011	Research assistant, University of Twente. Assist a PhD by performing statistical analyses, interpreting results and co-authoring scientific articles on sleep apnea.
February – July 2011	Graduate intern, PiCompany BV. Develop and validate complex IQ test items to differentiate on higher levels of intelligence.
2008 – 2010	Student assistant, University of Twente. Student assistant at the departments Alumni Office, International Office and Student Union.

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

January 2012 – July 2013	Travelling through South-America.
October 2007 – October 2008	Board member of volleyball club Harambee, Enschede.