Artificial intelligence (AI; broadly defined to include Machine Learning and Deep Learning)
and automation are two current and reciprocal computing disciplines. As such, AI‐powered …

Forensic scientists may have hardly ever been able to gather and offer as much information,
analytical or otherwise, as is possible today. Owing to advances made in science and …

There is weak integration of digital forensics and forensic science, despite over a decade of
effort to break down the borders between them. As more criminal investigations involve …

Forensic science is generally defined as the application of science to address questions
related to the law. Too often, this view restricts the contribution of science to one single …

The debate in forensic science concentrates on issues such as standardisation,
accreditation and de-contextualisation, in a legal and economical context, in order to ensure …

A better integration of the information conveyed by traces within intelligence-led framework
would allow forensic science to participate more intensively to security assessments through …

Recurrent mentions of a forensic science crisis are reported in the literature. Some 15 years
ago, the discussion was focused on the backlog problem. Other issues have been regularly …

Forensic intelligence is a distinct dimension of forensic science. Forensic intelligence
processes have mostly been developed to address either a specific type of trace or a …

Organised criminality is a great concern for national/international security. The
demonstration of complex crimes is increasingly dependant on knowledge distributed within …

In pervasive social networking forensics, mobile devices (eg mobile phones) are a typical
source of evidence. For example, figures from an Australian law enforcement agency show …