Urban Crime and Social Cohesion
In recent decades, murder rates, a proxy for crime-related violence, are surging in certain regions in the developing world. The call for evidence-based crime prevention has precipitated a need for more detailed data to tackle this complex and multifaceted phenomenon. New technologies and resources such as Big Data have enabled greater understanding of crime dynamics and citizen insecurity by providing more granular insights and new methodologies for analyzing and complementing the traditional sources of information available to governments.
Research and Implementation:
Learn how Ciudata Segura project, being conducted in Colombia, aims to build a granular spatio-temporal tool to diagnose crime factors in cities and better inform security policy-making by leveraging traditional (official statistics, surveys, interviews) and new data sources (big data, i.e CDRs and open source GIS).
Open Learning Hub:
Security and Crime Analysis Module
Learn more about Security and Crime Analysis on our Open Learning Hub. The module is based on the paper “Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics” by Andrey Bogomolov, Bruno Lepri, Jacopo Staiano, Emmanuel Letouze, Nuria Oliver, Fabio Pianesi, and Alex Pentland.
Leveraging (Mobile) Data to Predict and Prevent Crime
Data-Pop Alliance Chief Data Scientist, Dr Nuria Oliver, introduces a novel approach to predict crime in geographic spaces from multiple data sources, particularly from mobile phones and demographic data. Dr Oliver also discusses how law enforcement officers can effectively prevent crimes by using aggregated and anonymized human behavioural data derived from mobile network infrastructure.
“Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics”
Andrey Bogomolov, Bruno Lepri, Jacopo Staiano, Emmanuel Letouzé, Nuria Oliver, Alex ‘Sandy’ Pentland, and Fabio Pianesi, in collaboration with the World Bank Group, BKF, and Telefónica