I am a tenured researcher at the Information and Computing Sciences (ICS) department of Utrecht University (UU) in the Netherlands. As principle investigator in the department's Applied Data Science Lab, my research centres around Adaptive Analytic Systems within an Applied Data Science context. 

Please refer to my Research Theme page for more information, or my Research Projects page for active projects in this theme. 
Theme

Bio in 110 words

Marco Spruit is a tenured researcher at the Information and Computing Sciences department of Utrecht University in the Netherlands.
As principle investigator in the department's Applied Data Science Lab, Marco’s research centres around Adaptive Analytic Systems in which he investigates intertwining aspects of the three dual phases of the Knowledge Discovery Process with a solution-oriented Design Science Research approach within an Applied Data Science context.
Marco serves on the editorial boards of the international journals on Semantic Web and Information Systems, Computer Information Systems, and Big Data and Analytics in Healthcare, among others. Before 2007 Marco worked in industry as a Big Text Analytics & Systems engineer for fourteen years.


Top 5 Publications

  1. Spruit,M., & Lytras,M. (2018). Applied Data Science in Patient-centric Healthcare: Adaptive Analytic Systems for Empowering Physicians and Patients. Telematics and Informatics, 35(4), 643–653. [IF: 3.398] [pdf] [url] [AHM]
  2. Menger,V., Scheepers,F., Wijk,L. van, & Spruit,M. (2018). DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. Telematics and Informatics, 35(4), 727–736. [IF: 3.398] [pdf] [url] [AHNI]
  3. Syed,S., Borit,M., & Spruit,M. (2018). Narrow lenses for capturing the complexity of fisheries: A topic analysis of fisheries science from 1990 to 2016. Fish and Fisheries, 1–19. [IF: 9.013] [pdf] [online[N]
  4. Spruit,M., Heeringa,W., & Nerbonne,J. (2009). Associations among linguistic levels. Lingua, 119(11), The forests behind the trees, 1624–1642. [ISI impact factor: 0.578] [pdf] [url] [N]
  5. Meulendijk,M., Spruit,M., Drenth-van Maanen,C., Numans,M., Brinkkemper,S., Jansen,P., & Knol,W (2015). Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP Assistant’s usability. Drugs & Aging, 32(6), 495–503. [ISI impact factor: 2.769] [pdf] [url] [AHI]


Top 5 Projects

  1. OPERAMOPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly (2015-2020). PhD and postdoc position to further develop the STRIP Assistant (STRIPA) prescriptive analytics platform as the intervention instrument in a multi-language RCT (Horizon2020; 6.6M EUR). [AHIN]
  2. SMESEC: Protecting Small and Medium-sized Enterprises digital technology through an innovative cyber-SECurity framework (2017-2020). PhD position and PI time to further develop the ISFAM family of information security maturity models (Horizon2020; 5.6M EUR). [AHI]
  3. SAF21: Text Analytics for 21st Century Fisheries (2015 – 2018). PhD Project for Early Stage Researcher (ESR) 7 at Manchester Metropolitan University (MMU) (Horizon2020; 2.7M EUR). [AN]
  4. STRIMP: Implementation of the STRIP Assistant to improve the STRIP medication review (2017 – 2019). Scientific programmer for two years to integrate the STRIP Assistant within Dutch daily primary care (ZonMW; 350K EUR). [AHI]
  5. OPTICA: Optimising PharmacoTherapy In the multimorbid elderly in Primary CAre: a cluster randomised controlled trial (2017-2019). Parttime postdoc position to prepare an RCT to implement STRIPA 2.0 in daily GP practices in Switzerland (SNF; 475K EUR). [AHI]
Subpages (2): Projects Team