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

卓越的研究：提高刑事司法和相关社会科学领域早期职业研究人员的实证、分析和数据归档技能

• 批准号: 2302108
• 负责人: Nathan Mitchell
• 金额: $ 69.57万
• 依托单位: Prairie View A & M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302108&HistoricalAwards=false
• 关键词: Excellence; Research; Improving; Empirical; Analytical

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.

历史上黑人学院和大学（HBCUs）的研究人员经常面临有关研究生产力和研究成果的独特挑战。 该项目旨在应对这些挑战，提供培训机会和指导，在密歇根大学的政治和社会研究大学间联盟（ICPSR）的存档数据源的统计分析。 该项目建议建立一个暑期研究所，重点是培养分析二级数据并将其纳入研究议程的技能。该研究所将与公共统计研究所合作，利用具体数据集开展统计培训和指导。该研究所的一个重要特点是，参与者将有机会获得导师准备在研究过程中的多个点支持参与者的智力产品的开发。 此外，研究所的参与者还将学习将二级数据分析融入教学的最佳实践，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。刑事司法、网络安全、公共政策、公共卫生）。在培训周期的不同阶段，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方面的强化技能;使用二级数据集的能力;跨学科知识转移;以及制定将二级数据纳入课堂学习和其他数据驱动学习环境的战略。在完成暑期研究所后，参与者将获得更多的统计讲习班和项目工作人员的指导，以支持将概念提案转化为同行审查的出版产品。获得并学习使用高质量的二级数据集，如在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他们的出版潜力，并改善他们对学生的指导。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。