My PhD research was about evidential reasoning in criminal trials. When a judge or jury thinks about evidence (DNA-match, fingerprints) they often take a holistic perspective: how well does the evidence fit in with the scenario of what may have happened? However, an expert witness reporting on the DNA-match or fingerprints is used to taking a statistical point of view. We proposed a method that would integrate the statistical point of view (in the form of Bayesian networks) with the holistic perspective from narrative (stories or scenarios). I defended my PhD-thesis on October 28th, 2016.
- Dissertation: C.S. Vlek (2016). When Stories and Numbers Meet in Court: Constructing and Explaining Bayesian Networks for Criminal Cases with Scenarios. Groningen: Rijksuniversiteit Groningen. (pdf)
- C.S. Vlek, H. Prakken, S. Renooij & B. Verheij, Representing the quality of crime scenarios in a Bayesian network. The 28th International Conference on Legal Knowledge and Information Systems (JURIX), Braga (Portugal) 2015. (pdf)
- C.S. Vlek, H. Prakken, S. Renooij & B. Verheij, Constructing and understanding Bayesian networks for legal evidence with scenario schemes. Proceedings of the 15th International Conference on Artificial Intelligence and Law. San Diego (USA) 2015 (pp. 128-137). New York: ACM Press (2015). (pdf)
- B. Verheij, F.J. Bex, S.T. Timmer, C.S. Vlek, J.-J. Meyer, S. Renooij & H. Prakken. Arguments, Scenarios and Probabilities: Connections Between Three Normative Frameworks for Evidential Reasoning. Law, Probability & Risk 2015. (online)
- C.S. Vlek, H. Prakken, S. Renooij & B. Verheij, Extracting scenarios from a Bayesian network as explanations for legal evidence. The 27th International Conference on Legal Knowledge and Information Systems (JURIX), Krakow (Poland) 2014 (pp. 103-112). (pdf)
- C.S. Vlek, H. Prakken, S. Renooij & B. Verheij, Building Bayesian networks for legal evidence with narratives: a case study evaluation. Artificial Intelligence and Law, 22(4): 375-421, 2014. doi :10.1007/s10506-014-9161-7. (pdf) (online)
- C.S. Vlek, H. Prakken, S. Renooij & B. Verheij, Unfolding crime scenarios with variations: a method for building a Bayesian networks for legal narratives. The 26th International Conference on Legal Knowledge and Information Systems (JURIX), Bologna (Italy) 2013. IOS Press (pp. 145-154). (pdf)
- C.S. Vlek, H. Prakken, S. Renooij & B. Verheij, Representing and evaluating legal narratives with subscenarios in a Bayesian network. 2013 Workshop on Computational Models of Narrative, Hamburg (Germany) 2013. Schloss Dagstuhl, Saarbrücken/Wadern, Germany (pp.315-332). (pdf)
- C.S. Vlek, H. Prakken, S. Renooij & B. Verheij, Modeling crime scenarios in a Bayesian network. Proceedings of the 14th International Conference on Artificial Intelligence and Law, Rome (Italy) 2013 (pp. 150 -159). New York: ACM Press 2013. (pdf)
- G. Barmpalias & C.S. Vlek, Kolmogorov complexity of initial segments of sequences and arithmetical definability. Theoretical Computer Science. 412 (41): pp.5656-5667, 2011.