EAGER: Demystifying the Engineering and Computer Science Underrepresentation Problem: Understanding the Pathways to and through these Disciplines for Black and Hispanic Women

许多社区在计算机行业中的代表性不足。随着市场需求和公平的掌舵，计算机工程和计算机科学界越来越有兴趣扩大参与事项。更全面地了解影响个人决定追求计算的因素是至关重要的，特别是在黑人和西班牙裔妇女中。到目前为止，黑人和西班牙裔妇女在计算方面的探索是有限的，在理论和科学文献中，很少有研究专门针对有色人种妇女的计算。项目研究人员概述了一项具有潜在变革意义的探索性定性研究，研究了导致黑人和拉丁裔妇女在计算机工程和计算机科学领域代表性不足的突出因素。该项目旨在探索黑人和西班牙裔妇女进入工程和计算机科学的途径，其研究结果具有巨大的潜力，可以提出重要的战略，解决方案和实践，提高她们在计算领域的代表性。调查员将对黑人和西班牙裔妇女进行深入访谈，使用社会认同理论和交叉性作为指导理论框架经常用于科学教育，工程教育和其他社会和行为科学研究，社会身份理论和交叉性将有助于查明，解释和理解与黑人和/或西班牙裔以及计算机世界中的女性相关的社会复杂性。

Many communities are underrepresented in the computing industry. With market demands and equity at the helm, the computer engineering and computer science community has increasingly become interested in broadening participation matters. A more comprehensive understanding of the influences that shape individuals' decisions to pursue computing is essential, especially among Black and Hispanic women. To date, the exploration of Black and Hispanic women in computing is limited, and, in the theoretical and scientific literature, there are very few studies devoted to women of color in computing. The project investigator outlined an exploratory qualitative study that is potentially transformative, examining salient factors that contribute to the underrepresentation of Black and Latino women in computer engineering and computer science. This project is positioned to explore the pathways to and through engineering and computer science for Black and Hispanic women, and the findings have immense potential to render important strategies, solutions, and practices that increase their representation in computing field.The investigator will conduct in-depth interviews with Black and Hispanic women, using social identity theory and intersectionality as guiding theoretical frameworks Used frequently in science education, engineering education, and other social and behavioral science research, social identity theory and intersectionality will help to pinpoint, interpret, and understand the social complexities associated with being Black and/or Hispanic and a woman in the world of computing.