What new opportunities for policing for evidence and intelligence gathering, as well as new crime possibilities, are being created by the rapid development in sensor technologies and increasingly diverse data emerging from our digital lives?
Background
"Surveillance and sensing is the ability to lawfully monitor and collect data from people, activity, movements, behaviours, objects and data overtly and covertly.
We are interested in how policing can make use of, and respond to, the rapid developments in sensor technologies and the increasingly diverse data emerging from our digital lives. We seek to both understand new opportunities for evidence and intelligence gathering, as well as the new crime possibilities these developments create so that we can respond. The examples of interest include ‘lab in a box’ technologies, use of novel data sources such as advertising technology, the use of novel millimetric wave sensing to identify hidden objects, and the use of low orbit satellite to augment existing sensing capabilities. We are particularly interested in resilient sensing in congested environments."
Next steps
"We welcome your engagement with our ARIs in the following ways:
• If you have evidence that completely or partly supports or answers one of our ARIs, we invite you to share that with us. For any ongoing research relevant to policing and crime reduction, we encourage you to register your research on the College of Policing’s research projects map, which has been designed to promote collaboration and support requests for participants.
• If you are, or plan to be, carrying out research that relates to one of our ARIs, we’d like to hear about it. While we cannot respond to speculative approaches for research funding, we will where possible act to support your ambitions, including finding you policing partners where possible.
• If you are submitting a funding or grant application that aligns with one of our ARIs, we hope that referencing policing’s ARIs will help to strengthen your case for the possible public impact of the research.
• We will use the ARI document to structure our academic engagement, prioritise events and build new connections with external partners. We will be using our ARIs in our engagement with UKRI, and we will publish any opportunities for funding via our website https://science.police.uk/
Please send any correspondence and questions to csa@npcc.police.uk, including ‘ARI’ in the subject heading."
Source
This question was published as part of the set of ARIs in this document:
Related UKRI funded projects
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Citizen Forensics
This project reframes key challenges that underlie modern policing in a socio-technical world; a world instrumented with mobile and ubiquitous computing technologies, in which many citizens and communities live, work and...
Funded by: EPSRC
Why might this be relevant?
This project focuses on new opportunities for evidence and intelligence gathering in policing using sensor technologies and diverse data.
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Bournemouth University Higher Education Corporation and Bluestar Software Limited
To develop novel Artificial Intelligence solutions for law enforcement agencies to automatically assess the value of evidential material to assist in the investigative process and improve the detection of crime. To exten...
Funded by: Innovate UK
Why might this be relevant?
The project focuses on developing AI solutions for law enforcement agencies to assess evidential material and improve crime detection, aligning with the question's focus on evidence and intelligence gathering.
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Early Alert - Exploiting Innovative Technology to Reduce high impact crimes
We aim to conduct an assessment of the commercial viability of an innovative and discrete technology solution which can autonomously detect and respond to threats. Although the product usage can span multiple markets, th...
Funded by: Innovate UK
Why might this be relevant?
The project aims to reduce high impact crimes through innovative technology, which partially addresses the question's focus on new crime possibilities created by sensor technologies and diverse data.