Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Archive for the ‘NSF’ category

 

A 20-Year Community Roadmap for AI Research in the US is Released

August 7th, 2019 / in AI, Announcements, NSF, pipeline, policy, Research News, workshop reports / by Helen Wright

CCC Chair Mark D. Hill, CCC Vice-Chair Liz Bradley, and CCC Director Ann Schwartz Drobnis provided significant contributions to this post. The Computing Community Consortium (CCC) is pleased to release the completed Artificial Intelligence (AI) Roadmap, titled A 20-Year Community Roadmap for AI Research in the US! An HTML version is available here. This roadmap is the result of a year long effort by the CCC and over 100 members of the research community, led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President Elect of AAAI). Comments on a draft report of this roadmap were requested in May 2019. Thank you to everyone in the […]

NSF CISE Letter to the Community- Sources of Support for Undergraduate and Graduate Student Education

July 18th, 2019 / in Announcements, NSF, policy, Research News / by Helen Wright

The following is a letter to the community from James Kurose, Assistant Director, and Erwin Gianchandani, Deputy Assistant Director, of the National Science Foundation (NSF) Directorate of Computer & Information Science & Engineering (CISE).  Dear Computer and Information Science and Engineering (CISE) Community, As many of you know, the National Science Foundation (NSF) has a long history of investing in education and workforce development across all areas of science and engineering, including CISE areas. For example, you may recall that last fall we highlighted one such opportunity – the NSF Graduate Research Fellowship Program (GRFP) – which recognizes and supports outstanding graduate students who are pursuing full-time, research-based master’s and doctoral degrees at accredited U.S. institutions.  You […]

NSF/CISE Search Committee for Computer and Network Systems (CNS) Division Director Now Closes 6/21

May 30th, 2019 / in Announcements, NSF / by Helen Wright

The following is a previously posted letter to the community from James Kurose, Assistant Director, and Erwin Gianchandani, Deputy Assistant Director, of the National Science Foundation (NSF) Directorate of Computer & Information Science & Engineering (CISE) about the open Division of Computer and Network Systems (CNS) Division Director position. The position now closes on June 21, 2019.  Dear Colleagues, We are pleased to announce that the National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE) has convened a search committee for the next Division Director for its Division of Computer and Network Systems (CNS). As many of you know, Dr. Ken Calvert, who has served as the CNS Division Director since May 2016, will […]

NSF/CISE Launches Search Committee for Computer and Network Systems (CNS) Division Director

April 29th, 2019 / in Announcements, NSF / by Helen Wright

The following is a letter to the community from James Kurose, Assistant Director, and Erwin Gianchandani, Deputy Assistant Director, of the National Science Foundation (NSF) Directorate of Computer & Information Science & Engineering (CISE).  Dear Colleagues, We are pleased to announce that the National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE) has convened a search committee for the next Division Director for its Division of Computer and Network Systems (CNS). As many of you know, Dr. Ken Calvert, who has served as the CNS Division Director since May 2016, will be completing his rotation and returning to his institution, the University of Kentucky, at the end of this calendar year.  While at NSF/CISE, Ken has provided outstanding leadership […]

Catalyzing Computing Podcast – Content Generation for Workforce Training

April 22nd, 2019 / in AI, Announcements, Healthcare, NSF, podcast, research horizons, resources, workshop reports / by Khari Douglas

The Computing Community Consortium (CCC) recently held a visioning workshop in Atlanta, GA to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop’s goal was to articulate research challenges and needs and to summarize the current state of the practice in this area. This workshop is in response to growing needs in the field and new research programs such as the National Science Foundation (NSF) Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities (FW-HTF). In this episode of the Catalyzing Computing podcast, Khari Douglas sits down with workshop organizers Holly Rushmeier (Yale) and Beth Mynatt (Georgia Tech) to discuss […]

Envisioning the Future of Cloud Computing Research

April 17th, 2019 / in big science, NSF, research horizons, Research News / by Khari Douglas

The Computing Community Consortium (CCC) Industry Collaboration working group recently released the Evolving Academia/Industry Relations in Computing Research: Interim Report. This report outlines a number of emerging trends within computing research, most importantly the rising level of interaction between professors and industry. These trends have been shaped by access to industry resources such as cloud computing, AI, and big data. As those resources become more valuable, computing researchers in academia are leaving for or entering into joint appointments with industry in order to gain access to those key assets. From the Interim report: Modern industrial deep learning models, like the BERT language model recently published by Google[1], have hundreds of […]