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Predicting the effect of interventions in crime patterns

Grant number: 20/14915-4
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Effective date (Start): March 01, 2021
Effective date (End): November 30, 2022
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Luis Gustavo Nonato
Grantee:Andre Figueiredo Ribeiro
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

Crime patterns appear from the interaction among millions of individuals (e.g., criminals, citizens, police) acting in a medium (e.g., city, road networks, neighborhoods). Often agents' collective behavior is complex but shaped by the medium's design - as the medium limits the range of possible actions each agent can take. We study how to predict and visualize effects of (causal) interventions on specific urban designs and characteristics. We consider intervention effects on citizens' vulnerability-to-crime as an example domain. (AU)

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