CHS: Large: Collaborative Research: Gender-Inclusive Open Source through Gender-Inclusive Tools
CHS:大型:协作研究:通过性别包容性工具实现性别包容性开源
基本信息
- 批准号:1900903
- 负责人:
- 金额:$ 52.89万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-08-01 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research will investigate whether and how open source software (OSS) tools and technologies have gender biases tied with diverse problem-solving styles, and how to remove any such biases that are found. OSS is having a significant impact on society, in the products it produces and the career paths that it facilitates. However, women are vastly underrepresented among OSS developers. This is a significant concern to OSS communities because it prevents them from receiving the benefits of a larger talent pool and the benefits that ensue from team diversity. Further, the problem feeds upon itself: women developers then miss out on the learning and professional growth opportunities that OSS projects provide, and professional opportunities evade women developers when open source contributions are used to make hiring decisions, both of which hold them back from OSS engagement.This work will harness foundational gender research to provide theory-based yet practical solutions, towards addressing the underrepresentation of women in OSS communities. In Phase 1, the research will experimentally identify gender biases through the GenderMag research technique, and cross-validate results empirically. This is an inspection method for software professionals to use to find gender-bias "bugs" in their own software, by assessing to what extent their software supports diverse cognitive styles in terms of five facets: (1) motivations, (2) computer self-efficacy, (3) risk aversion with technology, (4) information processing styles, and (5) styles of learning new technology. Starting with each facet implicated in the bugs identified in Phase 1, the Phase 2 research will derive redesigns for each facet identified by working closely with the teams. The redesigns and the process of creating inclusive tools will be empirically evaluated to create a compendium of "best practices" for fixing gender-bias bugs, in both products (what suitable fixes are to such bugs) and processes (how OSS teams can work together to fix gender-bias bugs). Continuous evaluation will be a critical component throughout, to determine which practices and processes work and which do not.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.
这项研究将调查开源软件(OSS)工具和技术是否与各种解决问题的方式相关的性别偏见以及如何消除发现的任何此类偏见。 OSS在其生产的产品及其促进的职业道路上对社会产生了重大影响。但是,在OSS开发人员中,妇女的人数大大不足。对于OSS社区来说,这是一个重要的问题,因为它可以防止他们获得更大的人才库的好处以及团队多样性所带来的好处。此外,这个问题源于自身:女性开发商然后错过了OSS项目提供的学习和专业成长机会,专业机会在使用开源供款来做出招聘决策时逃避了女性开发人员,这两者都使她们退回了OSS的参与。这项工作将利用基础性别研究来提供理论但实用的解决方案,以探讨基于理论的实用解决方案,以探讨女性妇女社区的核心妇女社区的核心。 在第1阶段,该研究将通过Gendermag研究技术在实验上确定性别偏见,并通过经验进行交叉验证结果。这是一种检查方法,可以通过评估他们的软件在多大程度上支持五个方面的多种认知方式,用于在自己的软件中找到性别偏见的“错误”:(1)动机,(2)计算机自我效能感,(3)使用技术的风险厌恶,(4)信息处理样式和(5)学习新技术的风险。 从与第1阶段确定的错误有关的每个方面开始,第2阶段的研究将通过与团队紧密合作来得出每个方面的重新设计。重新设计和创建包容性工具的过程将经过经验评估,以创建用于修复性别偏见错误的“最佳实践”,这是在这两种产品中(适合此类错误的方法)和流程(OSS团队如何共同工作以解决性别偏见的错误)。持续评估将是整个过程中的关键组成部分,以确定哪些实践和流程的工作和哪些行为。该奖项反映了NSF的法定任务,并认为使用基金会的知识分子优点和更广泛的影响审查标准,被认为值得通过评估。
项目成果
期刊论文数量(30)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Don't Disturb Me: Challenges of Interacting with Software Bots on Open Source Software Projects
- DOI:10.1145/3476042
- 发表时间:2021-10-01
- 期刊:
- 影响因子:0
- 作者:Wessel, Mairieli;Wiese, Igor;Gerosa, Marco Aurelio
- 通讯作者:Gerosa, Marco Aurelio
Quality gatekeepers: investigating the effects of code review bots on pull request activities
质量把关人:调查代码审查机器人对拉取请求活动的影响
- DOI:10.1007/s10664-022-10130-9
- 发表时间:2022
- 期刊:
- 影响因子:4.1
- 作者:Wessel, Mairieli;Serebrenik, Alexander;Wiese, Igor;Steinmacher, Igor;Gerosa, Marco A.
- 通讯作者:Gerosa, Marco A.
Perceptions of the State of D&I and D&I Initiative in the ASF
对 D 国的看法
- DOI:10.1109/icse-seis55304.2022.9794024
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Guizani, Mariam;Trinkenreich, Bianca;Castro-Guzman, Aileen;Steinmacher, Igor;Gerosa, Marco;Sarma, Anita
- 通讯作者:Sarma, Anita
Do I Belong? Modeling Sense of Virtual Community Among Linux Kernel Contributors
- DOI:10.1109/icse48619.2023.00038
- 发表时间:2023-01
- 期刊:
- 影响因子:0
- 作者:Bianca Trinkenreich;Klaas-Jan Stol;A. Sarma;D. Germán;M. Gerosa;Igor Steinmacher
- 通讯作者:Bianca Trinkenreich;Klaas-Jan Stol;A. Sarma;D. Germán;M. Gerosa;Igor Steinmacher
Women’s Participation in Open Source Software: A Survey of the Literature
- DOI:10.1145/3510460
- 发表时间:2021-05
- 期刊:
- 影响因子:0
- 作者:Bianca Trinkenreich;I. Wiese;A. Sarma;M. Gerosa;Igor Steinmacher
- 通讯作者:Bianca Trinkenreich;I. Wiese;A. Sarma;M. Gerosa;Igor Steinmacher
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Igor Fabio Steinmacher其他文献
Igor Fabio Steinmacher的其他文献
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{{ truncateString('Igor Fabio Steinmacher', 18)}}的其他基金
Scaffolding Computational Thinking in Introductory Computer Science through a Conversational Agent
通过对话代理在计算机科学入门中搭建计算思维的脚手架
- 批准号:
2236198 - 财政年份:2023
- 资助金额:
$ 52.89万 - 项目类别:
Standard Grant
A Learning Environment for an Open-Source Contribution Model
开源贡献模型的学习环境
- 批准号:
2247929 - 财政年份:2023
- 资助金额:
$ 52.89万 - 项目类别:
Standard Grant
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