๐ Tender Overview
Towards An Evidence-Based Model For Big Data Policing: Evaluating The Statistical-Methodological, Criminological And Legal And Ethical Conditions
Big Data Policing For Crime Preventionthe Erc-Funded Bigdatpol Project Emerges As A Beacon For The Future Of Crime Prevention In Europe. Big Data Policing Models Incorporate Variables Such As Crime Data, Socio-Economic Factors, And Opportunity Characteristics, And Big Data Sources Such As Images Or Mobile Phone Data, Thereby Highlighting The Need For A Holistic Understanding Of These Models. Confronting The Current Disjointed Landscape Of Big Data Policing, The Project Seeks To Merge Expertise, Foster Interdisciplinary Cohesion, And Uphold Rigorous Scientific Standards. Consequently, It Aims To Harmonise Statistical, Criminological, Economical, Legal, And Ethical Facets Into An Evidence-Based Model, Contributing To A Safer And Fairer Future For Our Communities. This Approach Leverages Historical Data To Predict And Pre-Empt Potential Crime Hotspots, Optimising Police Resources And Ultimately Curbing Crime Rates.
Funded Under
European Research Council (Erc)
Total Cost
โฌ 1 972 500,00
Eu Contribution
โฌ 1 972 500,00
Coordinated By
Universiteit Gent
Belgium
