My research is about privacy governance, or the organisational direction and control of privacy-oriented behaviour. My main research interests are:
- Privacy-by-Design
- Security-by-Design
- Privacy Impact Assessments (PIAs) and other organisational instruments
- Organisational development of privacy and data protection capabilities
- Privacy and Security (Enterprise) Architecture
- Embedding Privacy Enhancing Technologies in organisational contexts
Publications
Muszynski, M., van Dijk, F., and Brinkkemper, S., Mapping the Privacy-by-Design Domain and Its Organisational Activities: Two Multivocal Literature Reviews (2024). ECIS 2024 Proceedings. 23.
[AIS website] [pdf]
van Dijk, F., Gadellaa, J., van Toledo, C., Spruit, M., Brinkkemper, S., & Brinkhuis, M. (2023). Uncovering the structures of privacy research using bibliometric network analysis and topic modelling. Organizational Cybersecurity Journal: Practice, Process and People.
[open access]
van Toledo, C., Schraagen, M., van Dijk, F., Brinkhuis, M., & Spruit, M. (2023). Readability Metrics for Machine Translation in Dutch: Google vs. Azure & IBM. Applied Sciences, 13(7), 4444.
[open access]
van Toledo, C., Schraagen, M., van Dijk, F., Brinkhuis, M., & Spruit, M. (2022). Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres. Information, 13(11), 513.
[open access]
van Dijk, F., Spruit, M., van Toledo, C., & Brinkhuis, M. (2021). Pillars of Privacy: Identifying Core Theory in a Network Analysis of Privacy Literature. ECIS 2021 Research Papers. 84.
[AIS website] [pdf]
van Toledo, C., van Dijk, F., & Spruit, M. (2020). Dutch Named Entity Recognition and De-Identification Methods for the Human Resource Domain. International Journal on Natural Language Computing, 9, 23–34.
[pdf]
Lectures, presentations and workshops
- Presentation on privacy violations in AI titled Kafka, Profiling and Misuse of Automation, Utrecht University Privacy Awareness week (2024).
- Workshop Privacy questions with new technologies, Dutch National Government I-Traineeship Ethics Day (2024).
- Presentation Privacy-by-Design in theory and practice, Utrecht University AI Labs day (2023), including poster presentation.
- Presentation Privacy-by-Design Maturity, Dutch National Archive (2023).
- Workshop Managing privacy concerns with innovative technologies, Dutch National Government I-Traineeship Ethics Day (2023).
- Presentation on Decision-making in Privacy-by-Design, at the Opening University of Utrecht AI Lab for Public Services (2022), including poster presentation.
- Workshop Privacy at work: ethics or not?, Dutch National Government I-Traineeship Ethics Day (2022).
- Guest lecture on Network Analysis, Data Science & Society Master's programme (2020).
Student projects
- Designing a Process Deliverable Diagram for Privacy Impact Assessment integrated with a Privacy by Design Maturity Model, Master's Thesis (2023)
- A Focus Area Maturity Model for Privacy-by-Design, Master's Thesis (2023)
- Topical Analysis of Privacy Literature, with an Application on Citation Network Interpretation, Capita Selecta (2020-2021)