Using the Science of Broadening Participation to Enhance the Diversity in Science

增强科学多样性合作组织（CEDS）提议举办一个由大学和学院代表、社会科学研究方法专家和STEM学科利益相关者参加的研讨会，以审查数据收集和相关研究方法以及报告标准，以提高STEM利益相关者的能力，更有效地处理STEM中的人口差异。这一请求是为了支持举办一次讲习班，以便为衡量和评价促进多样性方案的成功制定一个共同标准。为期一天的研讨会将包括来自大学和学院、专业学会和协会以及地方、区域和国家联邦和私人组织的利益攸关方。科学界普遍认识到，需要数据驱动的、科学严谨的工具来激励和加强努力，利用我们所有公民的才能，包括代表性不足的少数民族和妇女。此外，还需要超越个人努力，开始进行基于系统的分析。本次研讨会将讨论建立一个更全面和更有凝聚力的努力，以跟踪政府（联邦，州和地方），私人基金会，大学和学院，科学协会和专业协会的许多和各种努力的需要。有系统的数据收集将可能回答广泛而重要的问题，如：在多大程度上应协同支持研究培训？有哪些最佳做法可加以调整，以最大限度地提高投资回报？

The Collaborative for Enhancing Diversity in the Sciences (CEDS) proposes to host a workshop of university and college representatives, social science research methodology experts, and STEM disciplinary stakeholders to examine data collection and associated research methodology and reporting standards to advance the STEM stakeholders' power to more effectively deal with demographic discrepancies in STEM. This request is to support a workshop to establish a common standard for measuring and evaluating success of diversity-enhancing programs. The one-day workshop will include stakeholders from universities and colleges, professional societies and associations as well as local, regional and national federal and private organizations.It is well-recognized in the scientific community that data-driven, scientifically rigorous tools are needed to stimulate and enhance efforts to use the talents of all our citizens, including underrepresented minorities and women. There is an additional need to look beyond individual efforts to begin to pursue a system-based analysis. This workshop will address the need to establish a more comprehensive and cohesive effort to track the many and various efforts of government (federal, state, and local), private foundations, universities and colleges, scientific societies, and professional associations. Systematic data collection would allow possible answers to broad and important questions such as: To what extent should research training be supported collaboratively? What are the best practices that could be adapted that would allow for a maximum increase on the return on investment?