NSF INCLUDES Alliance: National Data Science Alliance (NDSA)
NSF 包括联盟:国家数据科学联盟 (NDSA)
基本信息
- 批准号:2217346
- 负责人:
- 金额:$ 999.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-15 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The NSF INCLUDES National Data Science Alliance (NDSA) is designed to increase the number of Black people who earn data science credentials, such as undergraduate, graduate, and post-baccalaureate minors, certificates, and degrees. On average, Blacks comprise about 3% of all data science professionals, demonstrating the need for an Alliance-scale effort to address this STEM broadening participation challenge. Also central to NDSA goals is expanding data science research that advocates for social justice and transforming data science discoveries into tangible benefits that advance equity for all. The potential for the perpetuation of harm through biased data technologies and algorithms is well documented. The NDSA establishes a national network of Historically Black Colleges and Universities (HBCUs) with industry, government, and academic collaborations to apply an equity-centered, collective approach to increase the number of Black data science professionals and eliminate harmful biases in data-driven models. The proposal involves three HBCUs, organized into regional hubs: Clark Atlanta University, Fisk University and Howard University.The NDSA is engaging over 1,000 HBCU faculty, staff, and administrative leaders in targeted efforts that create equity-based data science ecosystems where all students can thrive. The project aims to produce at least 20,000 Black students with data science credentials. The NDSA pursues four mutually reinforcing goals: (1) expand academic and research opportunities that engage HBCU students in data science; (2) develop research in data science that reduces bias and promotes ethics, fairness, and validity; (3) foster the growth of sustainable institutional capacity in data science at HBCUs; and (4) champion evidence-based inclusive practices and strategies that broaden the participation of HBCUs in data science. The NDSA leverages Participatory Action Research (PAR) through faculty/staff workshops, curriculum development workgroups, and research affinity cohorts. Project outcomes are expected to significantly diversify the data-capable workforce and result in societal impact for the benefit of the entire nation. This Alliance is funded by NSF Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (NSF INCLUDES), a comprehensive national initiative to enhance U.S. leadership in discoveries and innovations by focusing on diversity, inclusion and broadening participation in STEM at scale. The Alliance is also funded by the Historically Black Colleges and Universities – Undergraduate Program (HBCU-UP), which provides awards to strengthen STEM undergraduate education and research at HBCUs, and the Louis Stokes Alliances for Minority Participation (LSAMP) program, which assists universities and colleges in diversifying the STEM workforce.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.
NSF包括国家数据科学联盟(NDSA),旨在增加获得数据科学证书的黑人人数,例如本科,研究生和后库后的未成年人,证书和学位。平均而言,黑人约占所有数据科学专业人员的3%,这表明需要努力解决这一STEM扩大参与挑战的努力。 NDSA目标的核心也是扩大数据科学研究,该研究主张社会正义并将数据科学发现转变为促进所有人股权的切实收益。有偏见的数据技术和算法的危害持续存在的潜力已得到充分记录。 NDSA与行业,政府和学术合作建立了一个历史悠久的黑人学院和大学(HBCU)的国家网络,以采用以股票为中心的集体方法来增加黑人数据科学专业人员的数量,并消除数据驱动模型中的有害偏见。该提案涉及三个HBCU,组织为区域枢纽:克拉克·亚特兰大大学,菲斯克大学和霍华德大学。NDSA与1,000多名HBCU教职员工,员工和行政领导者一起参与有针对性的努力,以创建基于股权的数据科学生态系统,所有学生都可以壮成长。该项目旨在生产具有数据科学证书的至少20,000名黑人学生。 NDSA追求四个相互加强的目标:(1)扩大吸引HBCU学生参与数据科学的学术和研究机会; (2)发展数据科学研究,以减少偏见并促进伦理,公平和有效性; (3)促进HBCUS数据科学中可持续机构能力的增长; (4)倡导基于证据的包容性实践和策略,从而扩大了HBCUS参与数据科学的参与。 NDSA通过教职员工研讨会,课程发展工作组和研究亲和力群体利用参与行动研究(PAR)。预计项目成果将显着使具有数据能力的劳动力多样化,并对整个国家的利益产生社会影响。该联盟是由NSF包容性资助的整个国家,包括代表性不足的工程和科学的学习者(NSF Inclase),这是一项全面的国家倡议,旨在通过专注于多样性,包容和扩大STEM参与STEM的参与,从而提高美国在发现和创新方面的领导。 The Alliance is also funded by the Historically Black Colleges and Universities – Undergraduate Program (HBCU-UP), which provides awards to strengthen STEM undergraduate education and research at HBCUs, and the Louis Stokes Alliances for Minority Participation (LSAMP) program, which assists universities and colleges in diversifying the STEM workforce.This award reflects NSF's statutory mission and has been deemed precious of support through evaluation using基金会的智力优点和更广泛的影响审查标准。
项目成果
期刊论文数量(0)
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Talitha Washington其他文献
Nonstandard finite difference scheme for a Tacoma Narrows Bridge model
- DOI:
10.1016/j.apm.2018.05.027 - 发表时间:
2018-10-01 - 期刊:
- 影响因子:
- 作者:
Oluwaseye Adekanye;Talitha Washington - 通讯作者:
Talitha Washington
Talitha Washington的其他文献
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{{ truncateString('Talitha Washington', 18)}}的其他基金
Targeted Infusion Project: Implementation of Data Science Courses, Modules, and Capstone Experiences to Enhance Career and Graduate School Readiness
有针对性的注入项目:实施数据科学课程、模块和顶点经验,以增强职业和研究生入学准备
- 批准号:
2205882 - 财政年份:2022
- 资助金额:
$ 999.83万 - 项目类别:
Standard Grant
Discovery Workshop on Enhancing Data Science Education by Leveraging Data Sets from the African Diaspora
关于利用非洲侨民数据集加强数据科学教育的发现研讨会
- 批准号:
2136382 - 财政年份:2021
- 资助金额:
$ 999.83万 - 项目类别:
Standard Grant
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