The National Academy of Sciences (NAS) has released a new report titled “Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments“. The report urges U.S colleges and universities to respond to the ongoing surge in undergraduate enrollments in computer science programs, which is straining resources. The report was prepared by the NAS Committee on […]
Posts categorized under: Resources
The CRA-Education Committee has added to its website a new resource for “Teaching Computer Science: Capacity Building and Scaling.” Across the United States and Canada, universities and colleges are facing significant increases in undergraduate computer science (CS) enrollments. This surge has exceeded all previous CS program booms and there is a general sense that the current enrollment growth is substantially different than that of the mid-1980s and late 1990s. CRA’s Generation CS Study provides excellent insight into enrollment trends and their impact on computer science units, diversity, enrollment management strategies, and more.
In fall 2017, CRA will be conducting the usual Taulbee Survey and a one-time Teaching Faculty Survey. The Taulbee Survey schedule will be as follows.
- By September 8: All doctoral departments will be contacted to update Taulbee user information. The academic unit head will receive an email and so will the Taulbee primary contact, if separate.
- September 13: PDF will be available for data gathering.
- September 19: Salary section opens for input.
- September 25: Main section opens for input.
- November 20: Due date for salary section.
- December 18: Preliminary salary report available to participants.
- January 8, 2018: Due date for the main Taulbee section.
- April 2018: Full Taulbee report to CRA members and participating departments.
- May 2018: Published in CRN.
If you have any questions, contact Betsy Bizot at email@example.com
The 2016 Taulbee Survey report, published in the May 2017 issue of CRN, did not include the results of a component that was introduced in the most recent survey–namely, bachelor’s enrollment data from specific courses in the curriculum. This component was introduced as a result of what was learned in the CRA Enrollment Report (see https://cra.org/data/generation-cs). Unfortunately, we were unable to compile the data in time to feature the results in the May issue.
Non-tenure-track teaching faculty are becoming more important to doctoral departments to help them meet their educational goals and responsibilities, particularly in response to the current enrollments surge. In the Generation CS report (available at https://cra.org/data/Generation-CS/), 65% of doctoral departments reported in fall 2015 that they had increased the number of teaching faculty on continuing appointments in response to increased enrollments, and an additional 16% were considering it. Similarly, between fall 2006 and fall 2016, the proportion of Taulbee Survey respondents reporting at least one full-time non-tenure-track teaching faculty member increased from 81% to 87% and, more notably, the median number of such teaching faculty at the departments reporting nonzero counts rose from 3 to 6.
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.
Today, more than ever, industry leaders are looking to partner with academic computer science programs. With available computer science expertise at a premium, they’re looking for ideas, for new hires, for help on crucial projects. Universities are the mother lode for the personnel and expertise they crave. On July 18, I presented at the CRA Conference at Snowbird session, “Local Corporate Labs, Centers and Development Offices: Optimizing Department/Industry,” which explored the growth of corporate lab culture, and I’d like to share some of insights from that talk.
Last July, a distinguished panel of computer scientists – David Culler (UC Berkeley), Rayid Ghani (U of Chicago), Rahel Jhirad (Hearst) and Rob Rutenbar (UIUC) — discussed this question with a group of approximately 100 CRA Conference at Snowbird attendees. There was agreement that data science is an interdisciplinary field, combining techniques from machine learning, natural language processing, data mining, algorithms, information retrieval, etc.
Correction to Computing Research and the Emerging Field of Data Science: H.V. Jagadish is a member of CRA’s Committee on Data Science, and was not listed on yesterday’s author list. The full committee includes: Lise Getoor (Chair), David Culler, Eric de Sturler, David Ebert, Mike Franklin, and H.V. Jagadish.
Our ability to collect, manipulate, analyze, and act on vast amounts of data is having a profound impact on all aspects of society. This transformation has led to the emergence of data science as a new discipline. The explosive growth of interest in this area has been driven by research in social, natural, and physical sciences with access to data at an unprecedented scale and variety, by industry assembling huge amounts of operational and behavioral information to create new services and sources of revenue, and by government, social services and non-profits leveraging data for social good. This emerging discipline relies on a novel mix of mathematical and statistical modeling, computational thinking and methods, data representation and management, and domain expertise. While computing fields already provide many principles, tools and techniques to support data science applications and use cases, the computer science community also has the opportunity to contribute to the new research needed to further drive the development of the field. In addition, the community has the obligation to engage in developing guidelines for the responsible use of data science.