NSF INCLUDES Alliance: National Data Science Alliance (NDSA)

NSF INCLUDES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%，这表明需要联盟规模的努力来解决这一STEM扩大参与的挑战。NDSA目标的另一个核心是扩大倡导社会正义的数据科学研究，并将数据科学发现转化为促进所有人平等的切实利益。通过有偏见的数据技术和算法造成永久伤害的可能性是有据可查的。NDSA建立了一个全国性的历史黑人学院和大学（HBCU）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，以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正在吸引超过1，000名HBCU教师，员工和行政领导人参与有针对性的努力，创建基于公平的数据科学生态系统，所有学生都可以茁壮成长。该项目的目标是培养至少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）扩大学术和研究机会，让HBCU学生参与数据科学;（2）发展数据科学研究，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）倡导基于证据的包容性实践和战略，扩大HBCU在数据科学中的参与。NDSA通过教师/工作人员研讨会，课程开发工作组和研究亲和力队列来利用启发式行动研究（PAR）。预计项目成果将使具有数据能力的劳动力队伍显著多样化，并产生有利于整个国家的社会影响。该联盟由NSF Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science（NSF INCLUDES）资助，这是一项全面的国家计划，旨在通过关注多样性，包容性和扩大STEM的参与来加强美国在发现和创新方面的领导地位。该联盟还得到了历史上黑人学院和大学-本科生计划（HBCU-UP）的资助，该计划提供奖励以加强HBCU的STEM本科教育和研究，以及路易斯斯托克斯少数民族参与联盟（LSAMP）计划，该奖项反映了NSF的法定使命，并被认为是值得通过使用评估的支持。基金会的学术价值和更广泛的影响审查标准。

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.