Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization
and increasing urbanization posing new challenges in sustainable urban development well …

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 …

Data literacies are the strategies individuals flexibly employ to make meaning with data,
across a continuum of collection, production, and consumption activities as generators and …

Abstract Recent events (eg, George Floyd protests) have shown the impact that inequality in
policing can have on society. Thus, police operations should be planned and designed …

American law enforcement agencies are increasingly adopting data-driven technologies to
combat crime, with the market for such technologies projected to grow significantly in the …

Artificial Intelligence has emerged as a revolutionary technology with the potential to
transform various fields, including research, computing, and practitioner communities …

This chapter investigates the transformative influence of digital technologies on public sector
governance by incorporating the ABCD framework (Artificial Intelligence, Blockchain, Cloud …

In the field of smart urban systems, discussions often revolve around conventional
challenges such as data privacy, integration of Internet of Things devices, and scalable …

This research provides a critical analysis of predictive policing systems within Germany and
Netherlands, as part of the larger European Union (EU), where the focus is on biases and …

It is not uncommon for graphic scenes of violence and death to infiltrate our timelines from
retweets, reposts, and shares. I often question how much control do we really have over the …