The promises and perils of crime prediction
Andrew V. Papachristos ()
Additional contact information
Andrew V. Papachristos: Northwestern University
Nature Human Behaviour, 2022, vol. 6, issue 8, 1038-1039
Abstract:
A new algorithmic tool developed by Rotaru and colleagues can more accurately predict crime events in US cities. Predictive crime modelling can produce powerful statistical tools, but there are important considerations for researchers to take into account to avoid their findings being misused and doing more harm than good.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41562-022-01373-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:6:y:2022:i:8:d:10.1038_s41562-022-01373-z
Ordering information: This journal article can be ordered from
https://www.nature.com/nathumbehav/
DOI: 10.1038/s41562-022-01373-z
Access Statistics for this article
Nature Human Behaviour is currently edited by Stavroula Kousta
More articles in Nature Human Behaviour from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().