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Reconciling data-driven crime analysis with human-centered algorithms

  • Published:2022-05 Issue: Volume:124 Page:103604
  • ISSN:0264-2751
  • Container-title:Cities
  • language:en
  • Short-container-title:Cities

Author:

Clancy Kevin,Chudzik Joseph,Snowden Aleksandra J.,Guha Shion

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,Urban Studies,Sociology and Political Science,Development

Reference70 articles.

1. Intra-week spatial-temporal patterns of crime;Andersen;Crime Science,2015

2. Applications of spatial weights. GeoDa: An introduction to spatial data analysis;Anselin,2018

3. The interplay of Bayesian and frequentist analysis;Bayarri;Statistical Science,2004

4. Algorithmic criminology;Berk;Security Informatics,2013

5. Inequality and heterogeneity: A primitive theory of social control;Blau,1977

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1. Are We Asking the Right Questions?: Designing for Community Stakeholders’ Interactions with AI in Policing;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. "This is not a data problem": Algorithms and Power in Public Higher Education in Canada;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. A Human-Centered Review of Algorithms in Homelessness Research;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Predicting and analysing initiator crime environments based on machine learning for improving urban safety;Archnet-IJAR: International Journal of Architectural Research;2024-02-28

5. Decomposing Neighbourhood (In)Stability: The Structural Determinants of Turnover and Implications for Neighbourhood Crime;The British Journal of Criminology;2023-08-23
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