Center for Data Science and AI against organized and subversive crime

About the Center

The Center for Data Science and AI against organized and subversive crime at JADS addresses one of today’s major societal challenges: organized and subversive crime.

In collaboration with partners such as the Province of Noord-Brabant, Taskforce-RIEC Brabant-Zeeland, the Municipality of Tilburg and the Strategic Council on Subversive Crime, the Center explores how data science and artificial intelligence can provide better insights and grip on this complex issue.

Research themes

The Center’s research program focuses on:

  • Analyzing criminal networks through large and complex datasets.

  • Protecting logistic systems, such as ports, from criminal exploitation.

  • Data in the criminal justice chain: exploring how digital technologies and data can support police and justice in smarter, more effective, and ethical ways.

Mission

The knowledge developed helps governments, businesses, and organizations to work smarter and more efficiently in tackling subversive crime, contributing to a safer society.

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Events

Inaugural address Prof. Ana Isabel Barros Speaker: Prof. Ana Barros Read more and register

Projects and publications

MARIT-D

The MARIT-D project is a collaborative effort aimed at enhancing the fight against maritime trafficking across the European Union.

Researchers

Ana Isabel Barros

Lead of JADS Center of Organized and Subversive Crime

Cristoffer Leite

Assistant Professor

Rogier Brussee

Assistant Professor

Derkjan Elzinga

PhD Candidate

Renato Cordeiro Ferreira

Researcher

Willem Jan van den Heuvel

Unit lead and full professor


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Why partner up with JADS?

JADS provides innovative data science programs at undergraduate, graduate and postgraduate level, conducts cutting edge data science research and offers great business opportunities with a continually growing ecosystem. From startups to SMEs and large corporates, our business partners gain access to talent, high level knowledge and business opportunities.

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