Human trafficking is a pervasive and complex crime that affects millions of people
worldwide. In recent years, there has been a growing recognition of the need for proactive …

Jennifer Bachner is the Program Coordinator and Lecturer in Governmental Studies for the
MA in Government in the Johns Hopkins University Center for Advanced Governmental …

This article discusses the role of machine learning in contact tracing for public health,
particularly in controlling the spread of infectious diseases like COVID-19. The traditional …

Crime and violation are the threat to justice and meant to be controlled. Accurate crime
prediction and future forecasting trends can assist to enhance metropolitan safety …

This research paper explores the ethical implications and effectiveness of predictive policing
through the lens of data analytics. By analyzing the intersection of technology, law …

Predicting crime using machine learning and deep learning techniques has gained
considerable attention from researchers in recent years, focusing on identifying patterns and …

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd
Edition, describes clearly and simply how crime clusters and other intelligence can be used …

Recent evolution in the field of data science has revealed the potential utility of machine
learning (ML) applied to criminal justice. Hence, the literature focused on finding better …

Terms such as human trafficking and modern-day slavery are ephemeral but reflect
manifestations of oppression, servitude, and captivity that perpetually have threatened the …

Place-based short-term crime prediction models leverage the spatio-temporal patterns of
historical crimes to predict aggregate volumes of crime incidents at specific locations over …