Tag Archive: Data
Articles that provide an analysis of data on the field of computing.
By Burçin Campbell, Director of Data and Evaluation Understanding the patterns of representation of various groups in any given context is important for identifying potential problem areas that may impact people with particular backgrounds or identities to participate in that context. This infographic focuses on the demographic patterns of representation in the field of computing […]
Enrollments in master’s CS degree programs continue to rise. Compared to master’s students in traditional degree programs, online master’s students report lower levels of mentorship support. Departments should consider ways to increase accessibility and visibility of mentorship resources to online students. Examples discussed in main text.
Compared to White and Asian students, who are considered the racial and ethnic majority in computing fields, students who are members of underrepresented racial and ethnic groups and students with disabilities (URMD) were 1.5 times more likely to report having seriously considered leaving their graduate program.
CERP data indicate, among Ph.D. students, women feel more like an outsider, more like their ideas or opinions were minimized or ignored by others in their department, and are less confident in their ability to discuss theory with senior members in their field compared to men.
CERP data indicate students who engage in a formal research experience during college are more likely to apply for graduate school and enroll in a Ph.D. program after college, compared to students without formal research experience.
CERP data indicate first year and second year students were proportionally less likely to attend a technical conference in computing over the past year compared to upper division students. This finding is important because participation in conferences may help foster engagement and retention in computing, particularly among first and second year students.
Mentorship is an important part of graduate school as it can foster students’ growth into successful computing professionals. CERP’s Data Buddies survey for computing graduate students found that Ph.D. and Master’s level students consider different groups of individuals to be their mentors.
We found most undergraduate computing students believe computing careers afford ample opportunity to be in a position of influence and serve humanity. However, students believe computing careers afford relatively less opportunity to spend time with family. These findings suggest computing careers may be unattractive to groups of students who place strong value on family.
Gender is complex; while many people identify as either “man” or “woman”, others identify as something other than traditional binary gender options (i.e. “non-binary” gender). CERP data indicate non-binary students report lower levels of peer support compared to their men and women peers.
CERP is thrilled to launch its new data visualization website displaying Data Buddies data. Ron Metoyer, associate professor of computer science and engineering at the University of Notre Dame, designed the website, alongside a team of student developers, and CERP Research Scientist Burçin Tamer. This project was funded by an NSF award to the CRA: CNS-1246649.
This article examines trends for women and men in three financial aspects of doctoral study: the primary source of doctoral funding, the source of postdoctoral funding for those choosing a postdoctorate, and starting salaries for new Ph.D.s.
These analyses are part of a larger project examining trends in the representation of women in computing from 1990-2013. As part of that project, we licensed data from the National Science Foundation’s Survey of Earned Doctorates (SED). The SED is sent each fall to every individual who received a research doctorate from an accredited U.S. institution in the previous academic year. It asks about the respondent’s educational background, demographics, and postgraduation plans. In 2013, 92 percent of doctoral recipients completed the survey. We included data on SED respondents whose field of doctoral program was in the disciplines of (SED codes are listed in the parenthesis): computer science (400), computer engineering (321), information science & systems (410), robotics (415), and computer & information systems, other (419).
We previously used SED data to analyze the baccalaureate origins of women doctoral graduates (Bizot and Zweben, 2015) and plan a forthcoming article on time to degree.
