Duration
01 January 2025 → Ongoing
Faculties
Group leader
Research disciplines
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Natural sciences
- Modelling and simulation
- behavioural ecology
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Social sciences
- Causes and prevention of crime
- Criminography and methods of criminological investigation
- Criminology not elsewhere classified
- Social geography
- Social epidemiology
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Engineering and technology
- High performance computing
- Geospatial information systems
Keywords
Social psychology
data analysis
crime
Quantitative
Mathematical modeling
behavioral ecology
Criminology
Geography
Description
The Computational and Quantitative Criminology Lab focuses on analyzing and understanding crime and its response using computational and quantitative methods. Where and when does crime occur and why there and then, and what practical implications does this have for optimizing police presence in time and space? In answering these questions, a quantitative, empirical and interdisciplinary approach is paramount, combining and integrating insights from criminology with insights and techniques from geography, psychology, epidemiology, behavioral ecology, statistics and data science to contribute to the fundamental scientific understanding of crime and crime control. We aim to provide scientifically based insights that are not only academically relevant but also offer practical value to policy makers, security actors and urban planners.