NSF INCLUDES Alliance: National Data Science Alliance (NDSA)
NSF INCLUDES Alliance: National Data Science Alliance (NDSA)
批准号:
2217346
负责人:
Talitha Washington
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
项目状态:
未结题
起止时间:
2022-08-15 至 2027-07-31
中文摘要
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,如本科生、研究生和学士后未成年人、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%,这表明需要一个联盟规模的努力来解决这一扩大STEM参与的挑战。NDSA的另一个核心目标是扩大数据科学研究,倡导社会正义,并将数据科学发现转化为切实的利益,促进所有人的公平。有偏见的数据技术和算法可能使危害永久化,这是有据可查的。NDSA建立了一个全国性的传统黑人学院和大学(HBCUs)网络,与行业、政府和学术合作,采用以公平为中心的集体方法,增加黑人数据科学专业人员的数量,消除数据驱动模型中的有害偏见。该提案涉及三所hbcu,组织成区域中心:克拉克亚特兰大大学,菲斯克大学和霍华德大学。NDSA正在让1000多名HBCU教职员工和行政领导参与有针对性的努力,创建基于公平的数据科学生态系统,让所有学生都能茁壮成长。该项目旨在培养至少2万名拥有数据科学证书的黑人学生。NDSA追求四个相辅相成的目标:(1)扩大HBCU学生参与数据科学的学术和研究机会;(2)开展数据科学研究,减少偏见,促进道德、公平和有效性;(3)促进hbcu数据科学可持续机构能力的增长;(4)支持以证据为基础的包容性实践和战略,扩大hbcu在数据科学领域的参与。NDSA利用参与式行动研究(PAR)通过教师/员工研讨会,课程开发工作组和研究亲和队列。预计项目成果将大大多样化具有数据能力的劳动力,并为整个国家的利益产生社会影响。该联盟由美国国家科学基金会(NSF)在全国范围内的工程和科学领域代表性不足的发现者学习者社区(NSF INCLUDES)资助,这是一项全面的国家倡议,旨在通过关注多样性、包容性和扩大STEM的大规模参与来增强美国在发现和创新方面的领导地位。该联盟还由历史上的黑人学院和大学本科计划(HBCU-UP)和路易斯斯托克斯少数民族参与联盟(LSAMP)计划资助,前者为加强hbcu的STEM本科教育和研究提供奖励,后者帮助大学和学院实现STEM劳动力多样化。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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会议论文
Targeted Infusion Project: Implementation of Data Science Courses, Modules, and Capstone Experiences to Enhance Career and Graduate School Readiness
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批准号:2205882
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项目类别:Standard Grant
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资助金额:$39.67万
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财政年份:2022
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负责人:Talitha Washington
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依托单位:
Discovery Workshop on Enhancing Data Science Education by Leveraging Data Sets from the African Diaspora
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批准号:2136382
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2021
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负责人:Talitha Washington
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依托单位:
海外基金