S. Steens
Sanne Steens is a Specialist Data Science & Research Management at the Research Centre for Education and the Labour Market (ROA). She obtained a Master’s degree in Data Science for Business and Governance at Tilburg University, where her master thesis focused on human-robot interaction by means of gesture recognition.
At ROA, Sanne fulfills two roles; first, implementing innovative and data science techniques in research and its visualizations and second, managing the complete process of research (co-creation management, stakeholder management, finances and driving meta-level processes). She is currently involved in (a.o.) research that focusses on assessing skills demands using text mining techniques, eye tracking research and the ai:conomics project, where the team studies the impact of AI on work and workers.
Key publications
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Janssen, S., Stops, M., Steens, S., Özgül, P., Rounding, N., Dijksman, S., Montizaan, R., Levels, M., Fouarge, D., Eijkenboom, D., Graus, E., & Fregin, M.-C. (2025). Artificial Intelligence in the Workplace: Insights into the Transformation of Customer Services. Web publication/site, Institut für Arbeitsmarkt und Berufsforschung (IAB). https://doi.org/10.48720/IAB.FOO.20250422.01More information about this publication
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Fregin, M.-C., Rounding, N., van der Velden, R., Levels, M., Özgül, P., & Steens, S. (2025). Experiences with experimental research Lessons from a co-creative research project on AI effects in companies. (pp. 1-9). ROA. ROA External Reports Vol. 09a No. ai:conomics Policy Brief March 2025More information about this publication
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Fleck, L., Fregin, M.-C., & Steens, S. (2024). Measuring the Effects of AI in the Workplace: Co-Creating a Research Approach with Companies. (pp. 1-7). ROA. ROA External Reports Vol. 007 No. ai:conomics Policy Brief October 2024More information about this publication
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Horck, S., Steens, S., & Kaminski, J. (2024). Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes. International Journal of Information Management Data Insights, 4(2), Article 100284. https://doi.org/10.1016/j.jjimei.2024.100284More information about this publication
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Eijkenboom, D., Dijksman, S., & Steens, S. (2024). How Do Employees Perceive AI’s Role in Performance Evaluation and Skill Gap Identification? (pp. 1-8). ROA. ROA External Reports Vol. 008 No. ai:conomics Policy Brief October 2024More information about this publication
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Fouarge, D., Steens, S., & Wetzels, M. (2024). Behavioural Effects of Providing Labour Market Information to Students Evidence from an Eye-tracking Pilot Study. Maastricht University, Research Centre for Education and the Labour Market. ROA Technical Reports No. 004 https://doi.org/10.26481/umarot.2024004More information about this publication
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Künn, A., & Steens, S. (2025). De vraag naar skills in beroepen die in de provincie Limburg belangrijk zijn voor het behalen van de energiedoelstellingen. (pp. 1-21). ROA. ROA Fact Sheets No. 002 https://doi.org/10.26481/umarof.2025002More information about this publication
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Graus, E., Özgül, P., & Steens, S. (2021). Artificial intelligence: shaping the future of work with insights from firm-level evidence. ROA. ROA External Reports No. ai:conomics policybrief November 2021More information about this publication