Predictive Policing in Nigeria: An Exploratory Analysis of Law Enforcement Approaches in Lagos State

Abstract

The escalating crime and insecurity in Nigeria require key solutions of advanced law enforcement approaches. Lagos State, being an economic centre, has implemented predictive policing, a data-centric methodology for crime prevention and reduction. This exploratory study examines the ability of predictive policing in Lagos State. This study employs a qualitative research design, utilising in-depth interviews with law enforcement officials, policymakers, and community leaders. The results indicate that predictive policing has facilitated a decline in crime rates in Lagos State, especially concerning armed robbery, kidnapping, and cultism. Nevertheless, the study highlights considerable challenges, such as deficient data management systems, constrained resources, inadequate community involvement, and insufficient training for law enforcement officials. The study emphasises the necessity for a more collaborative methodology in predictive policing by engaging various stakeholders, such as community leaders, policymakers, and law enforcement agencies. The results of this study hold significant implications for the formulation of effective predictive policing strategies in Nigeria and analogous contexts. The study advocates for the enhancement of data management systems, augmented investment in technology and human resources, and improved community engagement and participation. The results offer significant insights for policymakers, law enforcement agencies, and community leaders aiming to formulate effective strategies for crime prevention and reduction in Nigeria.