Applications of Data Science in Policing:

VeriPol as an Investigation Support Tool

  • Federico Liberatore UC3M-BS Institute of Financial Big Data, Universidad Carlos III de Madrid
  • Lara Quijano-Sanchez UC3M-BS Institute of Financial Big Data, Universidad Carlos III de Madrid
  • Miguel Camacho-Collados Secretaría de Estado de Seguridad, Ministerio del Interior, Madrid, Spain
Keywords: Data Science, VeriPol, Investigation


Data Science is an interdisciplinary field involving the development of processes and systems to extract knowledge and understanding from data in different formats and from different sources. Considering the large amount of data generated and managed by public safety agencies, Data Science applications in the police sector are numerous. More important are the advantages that the different applications of Data Science could provide the police on issues such as the optimization of resources, the increase of efficiency and effectiveness, the modernization and its exemplariness when compared with other institutions. In this paper we present different potential applications fields of Data Science for the police. In addition, we focus on the case of VeriPol, a tool for automatic detection of false violent robbery reports, currently under development by the Spanish National Police. In particular, we illustrate a detailed analysis of the results of a recent pilot study aimed at assessing the effectiveness of the tool.

How to Cite
Liberatore, F., Quijano-Sanchez, L., & Camacho-Collados, M. (2018). Applications of Data Science in Policing:. European Law Enforcement Research Bulletin, (4 SCE), 89-96. Retrieved from