crime

Tracking real criminals with film scripts. How?

Knowledge Snacks 11 min. Marie Roelofs

Former police officer, director and scientist Peter de Kock built a model that can crack crime cases with artificial intelligence. The model is fed with every possible crime scenario in the world; true crime, but also scenarios from books, series and film. Because reality and fiction seem to be closer than you might think.

On a foggy Sunday morning, police find two thumbs in the forest. There is no trace of the victim. How does a detective solve such a case? Can science lend a hand?

In this podcast, hear how Peter de Kock, a former police officer, director and scientist, has developed a model that can solve crime cases using artificial intelligence. The model is trained on every conceivable crime scenario in the world, including true crimes and scenarios from books, television series and films. Indeed, it turns out that the line between reality and fiction is sometimes more blurred than you might think.

Since 2019, Peter de Kock has been appointed Professor of Practice and Head of Crime and Safety JADS. Jheronimus Academy of Data Science (JADS) is a unique partnership between Tilburg University and Eindhoven University of Technology. Data science is proving increasingly crucial in detecting and preventing crime, and in responding to and anticipating crisis situations. Hence, the Department of Data Science in Crime & Safety was established at JADS. The appointment of Professor of Practice Peter de Kock as head of this department strengthens data science research and education in this field. De Kock applies his knowledge in crime and safety to bridge the gap between public and private organizations in this domain, and both universities.

This podcast is only available in Dutch.

 

This is a podcast from 'De Universiteit van Nederland'.

The speaker

  • Peter de Kock

    prof. dr. Peter de Kock

    Professor of Practice and head of Crime and Safety JADS

    Jheronimus Academy of Data Science

    Profile page

Date of publication: 24 April 2023