Excellence in Research: Improving the Empirical, Analytical, and Data Archiving Skills of Early-Career Researchers in Criminal Justice and the Allied Social Sciences

传统黑人学院和大学（HBCUs）的研究人员经常面临着研究效率和资助方面的独特挑战。该项目旨在通过在密歇根大学校际政治与社会研究联盟（ICPSR）的存档数据源统计分析中提供培训机会和指导来解决这些挑战。该项目建议建立一个暑期学院，重点培养分析和将二手数据分析整合到研究议程中的技能。该研究所将与ICPSR合作，利用具体数据集进行统计培训和指导。该研究所的一个重要特点是，参与者将有机会接触到准备在研究过程的多个点上支持参与者智力产品开发的导师。此外，学院参与者还将学习将二手数据分析整合到教学中的最佳实践，以提高学生的分析技能。参与者的研究经验和分析技能的发展有可能将研究能力转化为成功的成果。每年的项目将包括一个特定主题的研究培训（例如，刑事司法，网络安全，公共政策，公共卫生）。在培训生命周期的不同阶段，一名外部评价人员将衡量项目的影响，并评估研究设计和数据分析技能的提高；处理辅助数据集的能力；跨学科知识转移；制定策略，将二手数据纳入课堂学习和其他数据驱动的学习环境。完成暑期课程后，参与者将接受额外的统计研讨会，并接受项目工作人员的指导，以支持将概念提案转化为同行评审的出版产品。获得访问和学习使用高质量的辅助数据集，例如那些在ICPSR存档的数据集，可以帮助早期职业教师和研究人员最大限度地发挥其发表的潜力，并改善他们对学生的指导。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Researchers at Historically Black Colleges and Universities (HBCUs) often face unique challenges concerning research productivity and grantsmanship. This project aims to address these challenges by providing training opportunities and mentoring in the statistical analysis of archived data sources at the University of Michigan’s Inter-University Consortium of Political and Social Research (ICPSR). This project proposes to develop a summer institute focusing on developing skills to analyze and integrate secondary data analysis into research agendas. The institute will partner with ICPSR on statistical training and guidance using specific datasets. A vital feature of the institute is that participants will have access to mentors prepared to support the development of participants' intellectual products at multiple points during the research process. Additionally, institute participants also will learn best practices to integrate secondary data analysis into teaching to further the analytical skills of students. The development of participants' research experiences and analytical skills has potential to translate research capacity into successful outcomes.Each year of the project will include research training with a particular theme (e.g., criminal justice, cyber security, public policy, public health). At various stages during the training life cycle, an external evaluator will gauge the project's impact and assess enhanced skills in research design and data analysis; the competence of working with secondary data sets; the knowledge transfer across subjects; and the development of strategies to incorporate secondary data in classroom learning and other data-driven learning environments. After completing the summer institute, participants will receive additional statistical workshops and mentorship by the project staff to support moving a concept proposal to a peer-reviewed published product. Gaining access to and learning to use high-quality secondary datasets, such as those archived at ICPSR, can help early-career faculty and researchers maximize their potential for publication and improve their mentorship of students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.