Data Collection and Analysis for Small-Town Policing: Challenges and Recommendations-Reference-Cited by-同舟云学术

Data Collection and Analysis for Small-Town Policing: Challenges and Recommendations

Published:2024-08-29 Issue:1 Volume:11 Page:
ISSN:2330-443X
Container-title:Statistics and Public Policy
language:en
Short-container-title:Statistics and Public Policy

Author:

Kelling Claire¹,Haensch Anna²^ORCID,Mendible Ariana³,Brooks Spencer⁴,Wiedemann Alexander⁵,Aminian Manuchehr⁶,Hasty Wade⁴,Higdon Jude⁴

Affiliation:

1. Department of Mathematics and Statistics, Carleton College, Northfield, MN

2. Data Intensive Studies Center, Tufts University, Medford, MA

3. Department of Mathematics, Seattle University, Seattle, WA

4. Institute for Quantitative Study of Inclusion, Diversity, and Equity, Williamstown, MA

5. Department of Mathematics, Randolph-Macon College, Ashland, VA

6. Department of Mathematics, California State Polytechnic University, Pomona, CA

Funder

National Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/2330443X.2024.2379270

Reference48 articles.

1. “I Almost Quit”: Exploring the Prevalence of the Ferguson Effect in Two Small Sized Law Enforcement Agencies in Rural Southcentral Virginia

2. Modeling Response Time to Structure Fires

3. Astudillo C. McCarthy C. Nelson B. Petenko E. Raychaudhuri D. Sullivan S. P. Stirling S. and Wu Y. (2018a) “New Jersey Force Report ” https://force.nj.com/. Last Accessed 2024-01-07.

4. Astudillo C. McCarthy C. Nelson B. Petenko E. Raychaudhuri D. Sullivan S. P. Stirling S. and Wu Y. (2018b) “Police Use of Force Reports (New Jersey) ” available at https://www.propublica.org/datastore/dataset/police-use-of-force-new-jersey. Last Accessed 2024-01-07.

5. Bird, S., Loper, E., and Klein, E. (2009), Natural Language Processing with Python, Sebastopol, CA: O’Reilly Media Inc.