Implementing Intelligence-Led Policing: An Application of Loose-Coupling Theory
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Some interventions included initiatives to enhance positive police-community interactions or provide data-driven policing materials to citizens.
“These included initiatives to enhance positive policecommunity interactions or provide data-driven policing materials to citizens (e.g., Carter et al., 2014).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Carter et al., 2014
In the Indianapolis harm spot policing experiment, application of hot spots policing in crime and social harm hot spots was translated into potential cost savings to society.
“For example, in the Indianapolis harm spot policing experiment, the application of hot spots policing in crime and social harm hot spots was translated into potential cost savings to society.”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Carter et al., 2014
It was calculated that per 10.4 minutes of officer proactive activity in social harm spots, the costs of social harm were reduced by $38.6, totaling $118,232 during the experimental period.
“It was calculated that per 10.4 minutes of officer proactive activity in social harm (hot) spots, the costs of social harm were reduced by $38.6, a total of $118,232 during the experimental period (Carter et al., 2014).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Carter et al., 2014
Carter et al. (2014) discovered that citizens generally did not oppose the use of algorithms for decision-making processes by police agencies.
“Similar findings were acknowledged by Carter et al. (2014), who also discovered that citizens generally did not oppose the use of algorithms for decision-making processes by police agencies.”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Carter et al., 2014
Citizens expressed a preference for some human involvement when decisions were based on intelligence derived from fully automated (big data) algorithms.
“However, citizens expressed a preference for some human involvement when decisions were based on intelligence derived from fully automated (big data) algorithms.”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Carter et al., 2014
Cites
Ratcliffe, J. H. (2016) · doi:10.4324/9781315717579 · Cited by 646 · see citing works
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‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing
Khalfa, R., & Hardyns, W. (2024) · Evaluation Review · doi:10.1177/0193841x231204588 · Cited by 12 · see citing works
- Authors
- Carter, J. G., Phillips, S. W., & Gayadeen, S. M.
- Affiliations
- Indiana University – Purdue University Indianapolis (US)
- Buffalo State University (US)
- Corresponding author
- Carter, Jeremy G.
- Venue
- Journal of Criminal Justice
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 42
- Issue
- 6
- Pages
- 433-442
- ISSN
- 0047-2352 (ISSN-L)
- OpenAlex
- W2038674789
- Cited by
- 46
- References
- 1
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2 · 2023: 7 · 2022: 3 · 2021: 2 · 2020: 5 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 5 · 2015: 3
- FWCI
- 26.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Criminal Justice (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
- Social Sciences › Political Science and International Relations › Intelligence, Security, War Strategy
- Social Sciences › Sociology and Political Science › Crime, Illicit Activities, and Governance
- Keywords
- intelligence-led policing, agency size, state and local law enforcement, technology adoption
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