Hanne Oberman
Statistician, interdisciplinarian, open scientist
I am very passionate about ‘dull’ or ‘difficult’ topics such as statistics, programming, and philosophy of science. I’m motivated to use my enthusiasm and expertise to improve the quality of academic research and education. I aspire to (help others to) solve complex real-world problems that require insights from many disciplines and methodologies.
Experience
2024-current
- Junior assistant professor (PhD candidate and lecturer) Methodology and Statistics | Utrecht University | Utrecht | The Netherlands
2023-2024
- PhD candidate Methodology and Statistics | Utrecht University | Utrecht | The Netherlands
2020-2023
- Research and education officer Methodology and Statistics and Julius Center for Health Sciences and Primary Care | Utrecht University | Utrecht | The Netherlands
Education
2023-current
- Graduate school Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS) | IOPS | The Netherlands and Belgium
2018-2020
- MSc Methodology and Statistics for the Behavioural, Biomedical and Social Sciences | Utrecht University | Utrecht | The Netherlands
2018
Post-graduate education International Graduate Summer School of the Global Academy of Liberal Arts | Concordia University | Montréal | Canada
2016-2018
Honours degree Descartes College | Utrecht University | Utrecht | The Netherlands
2014-2018
- BSc Liberal Arts and Sciences | Utrecht University | Utrecht | The Netherlands
Ancillary positions
2024-current
- Chair Faculty Open Science Team FOST | Utrecht University | Utrecht | The Netherlands
2022-current
- Faculty ambassador Open Science Community Utrecht | Utrecht | The Netherlands
2021, 2023
- Programme accreditation panel member Nederlands-Vlaamse Accreditatieorganisatie (NVAO) | Research master programmes in the social and behavioural sciences | The Netherlands
2019-2020
- Research assistant with Dong Nguyen and Daniel Oberski | Utrecht University | Utrecht | The Netherlands
2017-2020
- Teaching assistant in Methodology & Statistics and Experimental Psychology | Utrecht University | Utrecht | The Netherlands
2017-2022
- Representative in advisory bodies, e.g. student council Liberal Arts and Sciences | Utrecht University | Utrecht | The Netherlands
2016-2017
- Research internship with Merel van Goch | Utrecht University | Utrecht | The Netherlands
2014-2018
- Board member and committees for study association USLAS Atlas | Utrecht University | Utrecht | The Netherlands
Grants and awards
2023
- Project, ‘MICE ONLINE: A new service to solve missing data problems’, Open Science Fund, Utrecht University, Utrecht, The Netherlands
2022
- Project, ‘
dessert: an automated tool for transparent and reproducible scientific reporting’, Open Science Fund , Utrecht University, Utrecht, The Netherlands
2019
- Best poster, ‘Will You Publish Null Papers?’, Social and Behavioural Sciences Graduate Poster Fair, Utrecht University, Utrecht, The Netherlands
2018
- Fellowship award, Global Academy of Liberal Arts Annual Conference ‘Creativity and the Liberal Arts’ (HUMA 887), Concordia University, Montréal, Canada
Conferences
2024
- Tutorial, ‘Open (your) Science Using the Statistical Package
JASP’, EMLAR, Utrecht, The Netherlands
2024
- Presentation, ‘Data visualization for incomplete datasets in
R’, Annual Meeting VVSOR, Utrecht, The Netherlands
2023
- Presentation, ‘Towards a standardized evaluation of imputation methodology: potential pitfalls in simulation studies and a proposed course of action’, European Congress of Methodology EAM, Ghent, Belgium
2023
- Poster presentation, ‘Visualization of incomplete and imputed data with the
Rpackageggmice’, Summer Conference IOPS, Tilburg, The Netherlands
2021
- Late-breaking work in progress, ‘Visualizing Uncertainty Due to Missing Data’, IEEE VIS workshop ‘VisComm: Visualization for Communication’ VIS2021, online
2021
- Community led session, ‘Pre-registration of Data Science Studies’, Open Science Festival OSF2021NL, online
2020
- Presentation, ‘Missing the Point: Non-Convergence in Iterative Imputation Algorithms’, International Conference on Machine Learning (ICML) workshop ‘ARTEMISS: The Art of Learning with Missing Values’ ICML, online
2019
- Pre-study poster presentation, ‘ShinyMICE: Developing a Missing Data Evaluation Suite (Master’s Thesis Methodology and Statistics)’, Society for the Improvement of Psychological Science (SIPS) conference SIPS2029, Rotterdam, The Netherlands
2018
- Showcase, ‘Creativity and the Liberal Arts’, Global Academy of Liberal Arts (GALA) Annual Conference GALA, Montréal, Canada
2018
- Invited talk, ‘Creating Creativity? Assessing adaptive expertise in Liberal Education students’, European Liberal Education Student Conference LESC, Utrecht, The Netherlands
2016
- Poster presentation, ‘Assessing Adaptive Expertise in Higher Education Students’, Utrecht Platform for Creativity in Education (UPCE) conference UPCE, Utrecht, The Netherlands
2016
- Workshop, ‘The interdisciplinary research process in practice’, National Interdisciplinary Education (NIE) Conference NIE, Amsterdam, The Netherlands
Teaching and supervision
Thesis supervision
2023-current
- Research Master thesis Methodology and Statistics for the Behavioural, Biomedical and Social Sciences, co-supervision of 1 student (2023-2024)
2020-2022
- Master thesis Applied Data Science ‘Research Project GSNS’, co-supervision of 3 students (2020-2021), supervision of 3 students (2021-2022)
Missing data methodology
2021-current
- ‘Missing Data and Causal Effects’ (advanced undergraduate), lectures (2023-2024), work groups and grading (2021-2022, 2022-2023)
Programming and applied data science
2022-current
- ‘Statistical Programming with R’ (summer school), guest lecture (2022-2023, 2023-2024)
2021-current
- ‘Markup Languages and Reproducible Programming in Statisitcs’ (research master), lectures (2023-2024), guest lecture (2021-2022, 2022-2023), grading (2022-2023, 2023-2024)
2020-current
- Applied Data Analysis and Visualization (advanced undergraduate), guest lecture (2020-2021, 2021-2022, 2022-2023, 2023-2024), work groups and grading (2020-2021)
2017-2018
- ‘Practicum cognitieve en neurobiologische psychologie’ (advanced undergraduate), supervising practicals
2016-2017
- ‘Experimenting and registering’ (advanced undergraduate), supervising practicals
Qualitative research methodology
2020-2022
- ‘Technieken voor analyse kwalitatieve en kwantitatieve gegevens (TAK)’ (advanced undergraduate), supervising practicals
2018-2019
- ‘Advanced Research Methods and Statistics’ (advanced undergraduate), developing assignments, grading, teaching work groups, supervising practicals
2018-2019
- ‘Doing a Qualitative Research Project’ (advanced undergraduate), developing assignments, lecturing, teaching work groups, supervising practicals
2018-2019
- ‘Qualitative Inquiry in Everyday Life (MET24)’ (advanced undergraduate), teaching work groups, supervising practicals
Methodology and statistics
2020-current
- ‘Verdieping Onderzoeksmethoden en Statistiek (VOS)’ (advanced undergraduate), teaching work groups, and grading (2020-2021, 2022-2023, 2023-2024)
2021-2022
- ‘Basis van Onderzoeksmethoden en Statistiek’ (pre-master), teaching work groups, grading, and test organization
2021-2022
- ‘Bachelorthesis Pedagogische Wetenschappen’ (advanced undergraduate), consultancy in methodology & statistics labs
2020-2022
- ‘Advanced Research Methods and Statistics’ (advanced undergraduate), teaching work groups, grading, and test organization (2020-2021, 2021-2022)
2017-2018
- ‘Toepassing van onderzoeksmethoden en statistiek (TOE)’ (introductory undergraduate)
Professional memberships and service
- The Society for the Improvement of Psychological Science SIPS
- Netherlands Society for Statistics and Operations Research VVSOR
- Interuniversity Graduate School of Psychometrics and Sociometrics IOPS
- Open Science Community Utrecht OSCU
- rainbowR
- R contributors
- Peer-review for e.g. Biomedical Journal and Statistica Neerlandica
- Statistical consulting
Publications
Liu, Dawei, Hanne I. Oberman, Johanna Muñoz, Jeroen Hoogland, and Thomas P. A. Debray. 2023. “Quality Control, Data Cleaning, Imputation.” In Clinical Applications of Artificial Intelligence in Real-World Data, edited by Folkert W. Asselbergs, Spiros Denaxas, Daniel L. Oberski, and Jason H. Moore, 7–36. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-36678-9_2.
Oberman, Hanne I. 2021. “Visualizing Uncertainty Due to Missing Data.” In IEEE VIS, VisComm Track. https://doi.org/10.31219/osf.io/ahtfy.
———. 2022. “{Ggmice}: Visualizations for ’{Mice}’ with ’{Ggplot2}’.” Zenodo. https://doi.org/10.5281/zenodo.6532702.
Oberman, Hanne I., Marjan Bakker, Dong Nguyen, and Daniel Oberski. 2021. “Preregistration of Data Science Studies.” In Open Science Festival. Open Science Framework. https://doi.org/10.17605/OSF.IO/Y6J73.
Oberman, Hanne I., Stef van Buuren, and Gerko Vink. 2020. “Missing the Point: Non-Convergence in Iterative Imputation Algorithms.” In.
Oberman, Hanne I., Steven W J Nijman, Gerko Vink, Thomas P A Debray, and Maarten van Smeden. n.d. “Real-Time Handling of Missing Data in the Application of Prediction Models: A Comparison of Methods.”
Oberman, Hanne I., Stef van Buuren, and Gerko Vink. 2021. “Missing the Point: Non-Convergence in Iterative Imputation Algorithms.” https://arxiv.org/abs/2110.11951.
Oberman, Hanne I., and Gerko Vink. n.d. “Toward a Standardized Evaluation of Imputation Methodology.” Biometrical Journal n/a (n/a): 2200107. Accessed September 13, 2023. https://doi.org/10.1002/bimj.202200107.
Snel, Erik, Godfried Engbersen, Peter Van Der Heijden, and Hanne Oberman. 2023. “Een longitudinale studie naar het afgenomen vertrouwen gedurende de coronapandemie.” Mens & Maatschappij 98 (4): 369–94. https://doi.org/10.5117/MEM2023.4.004.SNEL.
van Veelen, Ruth, Judith de Haan, Hanne Oberman, Pepijn Vink, and Jacob Nelson. 2023. “Open Science Monitor 2022.” Zenodo. https://doi.org/10.5281/zenodo.8375726.