RT Article
T1 Data Science Approaches in Criminal Justice and Public Health Research: Lessons Learned From Opioid Projects
JF Journal of contemporary criminal justice
VO 37
IS 2
SP 175
OP 191
A1 Anderson, Tammy L. 1963-
A2 Donnelly, Ellen A.
A2 Delcher, Chris
A2 Wang, Yanning
LA English
YR 2021
UL https://krimdok.uni-tuebingen.de/Record/1755889321
AB The persistence of the nation’s opioid epidemic has called on criminal justice and public health agencies to collaborate more than ever. This epidemiological criminology framework highlights the surveillance of public health and safety, often using data science approaches, to inform best practices. The purpose of our article is to delineate the main benefits and challenges of adopting data science approaches for epidemiological criminology partnerships, research, and policy. We offer “lessons learned” from our opioid research in Delaware and Florida to advise future researchers, especially those working closely with policymakers and practitioners in translating science into impactful best practices. We begin with a description of our projects, pivot to the challenges we have faced in contributing to science and policy, and close with recommendations for future research, public advocacy, and practice.
K1 Public Health
K1 Criminal Justice
K1 Data science
K1 Opioids
DO 10.1177/1043986221999858