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.
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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.
The 2016 CRA Taulbee Survey will be starting soon. As we did last year, the survey will be split into two parts, salary and main (everything else). This allows us to set an earlier deadline for the salary section in order to produce a preliminary salary report in December, while giving departments more time to collect and enter the information in the rest of the survey.
The schedule will be as follows:
By September 9: 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 27: Both sections of the Taulbee will open for input.
November 18: Due date for salary section.
December 19: Preliminary salary report available.
January 18, 2017: Due date for the main Taulbee section.
April 2017: Full Taulbee report to CRA members and participating departments.
May 2017: Published in CRN.
If you have any questions, contact Betsy Bizot at email@example.com.
By Shar Steed, CRA Communications Specialist Similar to how we are currently facing a boom in undergraduate computer science enrollments, several years ago, the field encountered an exponential increase in postdoctoral appointments. In a Communications of the ACM Viewpoint article from February 2013, The Explosive Growth of Postdocs in Computer Science, Anita Jones wrote, “The […]
The purpose of the Computing Community Consortium (CCC) is to catalyze the computing research community and enable the pursuit of innovative, high-impact research. One of the ways that the CCC accomplishes this is by publishing white papers for the computing research community.
CRA has several RSS feeds available, and now you can view them all on a single webpage. Visit http://cra.org/resources/rss-subscriptions/ to view and subscribe to resources that interest you most. When you subscribe to a resource, you will receive an email when new content is posted. Check out our current offerings.
The Computing Research Association is sad to hear of the loss of Joanne Cohoon, a leader in the evaluation efforts of our programs. Joanne has been involved with the CRA for more than a decade. In 2006, she was the PI on an NSF-funded study that was initiated to test the validity of an earlier report, “Recruitment and Retention of Women Graduate Students in Computer Science and Engineering” (Cuny and Aspray, 2001). Joanne co-authored the report based on the study, “Recruiting and Retaining Women Graduate Students in Computer Science and Engineering,” which summarizes and expands on the results of a workshop and outlines research-based practices likely to promote gender balance in graduate computing programs.