With graduate enrollment increasing for women in computer and information sciences, the entry point for the field’s educational pipeline is more robust than ever. Yet, it appears that the challenge remains to increase retention and completion of degrees. In order to expand the pipeline, our efforts must focus on both recruitment of potential talents and support throughout graduate studies that leads to desired career outcomes.
Posts categorized under: Diversity
Several activities sponsored by CRA and other organizations are designed to increase diversity in the computing field.
Most broadening participation efforts have focused on women and underrepresented minorities. However, for more than 10 years, AccessComputing has been funded by the National Science Foundation (NSF) to increase the successful participation of students with disabilities in academic programs and careers. AccessComputing addresses underrepresentation by providing multiple activities for students with disabilities.
The CRA’s Center for Evaluating the Research Pipeline (CERP) turns four years old this month. During the past four years, CERP has been working steadily toward its goal of building diversity in computing through evaluation and social science research. CERP is staffed by Director Jane Stout, Research Scientist Burcin Tamer, and Research Associate Heather Wright. As seen on CERP’s About page, CERP staff are an eclectic mix of social scientists with expertise in quantitative and qualitative methods and a passion for diversity research.
CRA-W is now accepting applications for the 2017-2018 Collaborative Research Experience for Undergraduates (CREU) program starting April 15. Application Deadline: May 18, 2017.
As a little girl growing up in the Dominican Republic, Yerika Jimenez, currently a Ph.D. student in computing at the University of Florida, noticed she had a knack for fixing things – cell phones, TVs, radios. Everyone in her community would bring her broken items, and she would return them repaired. A few years later, when Jimenez was nine years old, her family settled in New Jersey, and her fascination with technology continued.
The main focus of my recent research has been computer science education and the role computer science can play in defining and advancing its own education research. Learning computational principles and learning to code is hard, and teaching these subjects is even harder. For most computer science topics, we know very little about how different learners’ best learn; how to effectively teach the material to audiences with different abilities, backgrounds, and goals; and how to reliably assess learning.
Microsoft, Inc. and Google are now offering scholarships to support students to attend the ACM Richard Tapia Celebration of Diversity in Computing Conference. Encourage your students to apply to these scholarship opportunities.
Since May 2013, the CERP team has published a graphic in each issue of Computing Research News (CRN) that analyzes the experiences of underrepresented students and professionals in computing. Each month, this newsletter will share the infographic published in CRN and news about CERP. If you are interested in receiving this newsletter, subscribe here.
Carol Frieze – A. Nico Habermann Award
Tom Kalil – Distinguished Service Award
CERP recently extracted Web data to observe the career progression of women who had participated in the CRA-W’s 2008 or 2009 Career Mentoring Workshops (CMWs) compared to a sample of women who had never participated in CMWs. We obtained the comparison sample from a population of women who earned their Ph.D.s in computer science during the same time period as the participants. We collected current career information including job titles (e.g., associate professor) and job setting (e.g., academia vs. industry/labs) for both groups. We then categorized job titles as entry level (e.g., assistant professor, software engineer), mid level (e.g., associate professor, senior engineer), and senior level (e.g., professor, principal program manager), collapsed across job setting. To test for a systematic difference in job rankings between workshop participants and the comparison group, we ran a 2 (Group) x 3 (Job Title Rank) Chi-squared test and found a statistically significant difference in rankings across the two groups, χ2 (2, N = 181) = 8.46, p < 0.05. Specifically, CMW participants were less likely than non-participants to be in an entry level position, p < .05, and more likely to be in a senior level position than non-participants, p < .05.