Leveraging Deep Learning and SNA approaches for Smart City Policing in the Developing World
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2377
- Type
- D - Journal article
- DOI
-
10.1016/j.ijinfomgt.2019.102045
- Title of journal
- International Journal of Information Management
- Article number
- 102045
- First page
- -
- Volume
- 56
- Issue
- -
- ISSN
- 0268-4012
- Open access status
- Exception within 3 months of publication
- Month of publication
- November
- Year of publication
- 2019
- URL
-
http://e-space.mmu.ac.uk/625271/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- Yes
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
A - Data Science
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reports on the development and application of an AI-based platform that uses cellular communication patterns to track criminals and facilitators. The system was deployed in a live investigation of one of the most notorious child abduction, rape and murder cases in the history of Pakistan (See impact case study). The application was used to narrow search parameters, to identify the perpetrator and his facilitators, and finally to provide robust evidence that secured a successful conviction. The case became a watershed moment in Pakistan’s history. It was covered extensively by global media outlets including two broadcasts on BBC’s Newsnight.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -