Use of Bayesian networks in forensic soil casework

S. C.A. Uitdehaag*, T. H. Donders, Irene Kuiper, F. Wagner-Cremer, M. J. Sjerps

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


Forensic soil comparisons can be of high evidential value in a forensic case, but become complex when multiple methods and factors are considered. Bayesian networks are well suited to support forensic practitioners in complex casework. This study discusses the structure of a Bayesian network, elaborates on the in- and output data and evaluates two examples, one using source level propositions and one using activity level propositions. These examples can be applied as a template to construct a case specific network and can be used to assess sensitivity of the target output to different factors and identify avenues for research.

Original languageEnglish
Pages (from-to)229-238
Number of pages10
JournalScience and Justice
Issue number2
Publication statusPublished - Mar 2022


  • Activity level
  • Bayesian network
  • Distance measure
  • Elemental composition
  • Evaluate propositions
  • Palynology
  • Soil comparison
  • Source level


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