Diffusion of Ideas on Gender Equity Interventions Through Networks of U.S. Universities

这是一项探索性研究，将使用社交网络方法和数据丢弃战略，研究在NSF先期受资助者和其他人中传播关于系统变革和性别平等的创新想法。对高级项目的研究通常考察大学或促进公平的战略，但不考察大学如何合作、相互学习和相互影响。为了更好地理解和记录NSF先行计划的影响，这个项目将使用跨学科的社会网络方法来分析思想在NSF先行资助者网络中的传播和影响。提倡者将创建一个从多个来源构建的原始数据集，以研究合作、引用和职业流动网络。原始数据集将结合多个公开来源：1)文档，如NSF高级项目摘要、奖项数据库、提案、报告和网站；2)高级PI和学者的人口统计、职业和文献计量数据，反映他们的出版物、引文和彼此之间的合作；3)综合高等教育数据系统(IPEDS)调查中的大学特征、卡内基分类、博士声望和其他美国新闻排名；4)对高级受赠者的定性采访。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This EAGER is an exploratory study that will use a social network approach and data scrapping strategies to study the diffusion of innovative ideas on systemic change and gender equity among NSF ADVANCE grantees and beyond. Research on ADVANCE programs usually examine universities or equity enhancing strategies, but not how universities have cooperated, learned from, and influenced each other. This EAGER will provide knowledge about this movement of ideas and people in order to better understand and document the impact of the NSF ADVANCE program.This project will use interdisciplinary social network approaches to analyze the diffusion of ideas within and the impacts of the NSF ADVANCE grantee network. The proposers will create an original dataset constructed from multiple sources to study collaborations, citations, and job mobility networks. The original dataset will combine multiple publicly available sources: 1) documents, such as NSF ADVANCE project summaries, award database, proposals, reports, and web sites; 2) demographic, career and bibliometric data of ADVANCE PIs and scholars reflecting their publications, citations and collaborations with each other; 3) university characteristics from the survey of Integrated Postsecondary Education Data System (IPEDS), Carnegie classification, doctoral prestige, and other rankings of U.S. News; and 4) qualitative interviews with ADVANCE grantees.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.