It is imperative for the Computer Science (CS) community to ensure active participation and success of students from diverse backgrounds. This work compares CS to other areas of study with respect to success of students from three underrepresented groups: Women, Black and Hispanic or Latino. Using a data-driven approach, we show that trends of success over the years for underrepresented groups in CS are lagging behind other disciplines. Completion of CS programs by Black students in particular shows an alarming regression in the years 2011 through 2019. This national level decline is most concentrated in the Southeast of the United States and seems to be driven mostly by a small number of institutes that produce a large number of graduates. We strongly believe that more data-driven studies in this area are necessary to make progress towards a more equitable and inclusive CS community. Without an understanding of underlying dynamics, policy makers and practitioners will be unable to make informed decisions about how and where to allocate resources to address the problem.

翻译：计算机科学（CS）领域必须确保不同背景学生的积极参与与成功。本研究将计算机科学与其他学科领域进行比较，重点关注女性、黑人与西语裔/拉丁裔三个弱势群体的学业成就。通过数据驱动的方法，我们发现计算机科学中弱势群体多年来的成功趋势落后于其他学科。尤其值得警惕的是，2011年至2019年间黑人学生完成CS项目的比例呈现显著倒退。这种全国性的下降趋势最集中于美国东南部，且主要由少数培养大量毕业生的院校驱动。我们坚信，该领域亟需更多数据驱动研究，以推动建立更公平、包容的CS社区。若不了解潜在机制，政策制定者与实践者将无法就如何及在何处分配资源以解决该问题做出明智决策。