Tag Archive: Data

Articles that provide an analysis of data on the field of computing.

Financial Aspects of Doctoral Study for Women in Computing, 1998-2013


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.

Figure 1Figure 1

Baccalaureate Origins of Women Ph.D.s in Computing, 1990-2013


As part of a larger project examining trends in the representation of women in computing from 1990-2013, 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).