BPC-DP: Leveraging Institutional Data Collection and Analysis as an Entry to BPC Work: A Pilot Program to Support Emerging DEI Efforts

扩大对计算机(BPC)的参与是一项国家优先事项。然而，高等教育机构监测和报告BPC数据的能力变化很大。在15个本科生计算机系的BPC努力下成功开展的工作的基础上，这个项目涉及三到五个机构，它们以前没有或有限地参与过BPC倡议。工作包括收集按性别和种族/族裔分列的本科生入学和学位获得(EDA)数据，创建数据可视化以分析部门趋势和模式，并与机构合作伙伴密切合作，了解其BPC数据并制定有效的战略来维护和报告这些数据。该项目旨在为变革和数据驱动的决策提供信息，以改进机构一级的业务流程控制，并提高提供给外部利益攸关方的业务流程控制数据的有效性。在解决计算方面持续存在的参与差距方面，各方就可靠数据的关键必要性达成了广泛共识。该项目的数据收集过程被有意设计为通过狭隘地关注计算机科学专业内的EDA模式以及更广泛地跨所有计算专业的EDA模式来作为利用部门数据进行BPC工作的初始入口点。该项目的主要产出包括：1)按性别(例如，计算机领域的女性)、种族/族裔(例如，计算机领域的黑人学生)以及这些身份的组合(例如，计算机领域的黑人女性)描述趋势的详细、互动的数据可视化；以及2)与每个参与机构举办一对一讲习班，突出关键研究结果，并指导参与者考虑采取具体行动和干预措施，以弥补参与差距。随着对其BPC数据和相关趋势的更好了解，各机构可以更有意义地参与其他现有的BPC工作。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。

Broadening participation in computing (BPC) is a national priority. However, the capacity of higher education institutions to monitor and report on BPC data is highly variable. Building on work that was successfully conducted through the BRAID initiative, a BPC effort at 15 undergraduate computing departments, this project engages three to five institutions that have had no or limited engagement with previous BPC initiatives. Efforts include collecting undergraduate computing enrollment and degree attainment (EDA) data disaggregated by gender and race/ethnicity, creating data visualizations to analyze departmental trends and patterns, and working closely with institutional partners to understand their BPC data and develop effective strategies for maintaining and reporting it. This project stands to inform change and data-driven decisions to improve BPC at the institutional-level and enhance the validity of BPC data that is provided to external stakeholders.There is broad consensus on the critical necessity of robust data in addressing persistent participation gaps in computing. This project’s data collection process is intentionally designed to serve as an initial entry point into leveraging departmental data for BPC efforts by focusing on EDA patterns narrowly within the Computer Science major and more broadly across “All Computing” majors. The key outputs of this project include: 1) detailed, interactive data visualizations that depict trends by gender (e.g., women in computing), race/ethnicity (e.g., Black students in computing), and the combination of these identities (e.g., Black women in computing), and 2) one-on-one workshops with each participating institution to highlight key findings and guide participants to consider specific actions and interventions to address participation gaps. With an enhanced understanding of their BPC data and related trends, institutions can engage more meaningfully in other existing BPC efforts.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.