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.

阿片类药物流行的持续存在要求刑事司法和公共卫生机构比以往任何时候都更加合作。这种流行病学犯罪学框架强调了对公共健康和安全的监视，通常使用数据科学方法来指导最佳实践。本文的目的是描述在流行病学犯罪学伙伴关系，研究和政策中采用数据科学方法的主要好处和挑战。我们提供从我们在特拉华州和佛罗里达州的阿片类药物研究中获得的“经验教训”，为未来的研究人员提供建议，尤其是那些与决策者和从业者紧密合作以将科学转化为有效的最佳实践的研究人员。首先，我们将对项目进行描述，然后将重点介绍在为科学和政策做出贡献方面所面临的挑战，