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.


Posts Tagged ‘Workshop

 

DataScience@NIH Updates

July 13th, 2017 / in Announcements / by Khari Douglas

Check out the following updates from Data Science at the National Institutes of Health (NIH). Data Science Opportunities: The NIH is looking for mentors for the Friday Afternoon Data Science Mentorship Program (FAM). The mentorship program was created to address the increased interest in one-on-one instruction in data science needed for biomedical research. Sign up to be a mentor: https://goo.gl/forms/DECl87E3oYsuEXcj2. Sign up to be a learner: https://goo.gl/forms/Q6kyNqNp8NCk5FPX2. For more information: https://goo.gl/forms/bRQGMTpNTRUCfe0n2 The Center for Open Science is giving away $1,000 to 1,000 researchers who pre-register their research before they publish. This opportunity is available to projects that are entering the data collection phase. Learn more here. The BD2K Training Coordinating Center has been creating and populating the […]

Nanotechnology-Inspired Information Processing Systems Workshop Report

February 13th, 2017 / in resources, workshop reports / by Khari Douglas

The organizing committee for the Computing Community Consortium (CCC) sponsored Nanotechnology-Inspired Information Processing Systems has released their workshop report. The workshop, held in September 2016, brought together over 40 leading researchers from the areas of computing, neuroscience, systems, architecture, integrated circuits, and nanoscience, to come up with new ideas for the future of information processing platforms on beyond-CMOS nanoscale technologies that can approach the energy efficiency and the decision‐making capacity of the human brain. The workshop report addresses the future of nanoscale process technologies within three application-driven platform-focused topic areas and discusses the current technologies, challenges, and research opportunities in each area. The topic areas are: cloud-based systems that provide software, platforms and infrastructure as […]

Brain Science and Computer Science- Where Discovery Meets Invention

January 11th, 2016 / in NSF, policy, Research News, workshop reports / by Helen Wright

Contributions to this post were made by Gregory Hager, Chair of the Computing Community Consortium (CCC) and Professor of Computer Science at Johns Hopkins University and Martin Weiner, AAAS Science & Technology Policy Fellow in the Directorate for Computer & Information Science & Engineering Directorate at NSF.  Recently, the organizers of the CCC workshop on Research Interfaces between Brain Science and Computer Science were invited to present their workshop report at the National Science Foundation (NSF). Jack Gallant (UC Berkeley), Polina Golland (MIT) and Greg Hager (CCC Chair, JHU) gave the presentation and led surrounding discussions. The Research Interfaces between Brain Science and Computer Science workshop was held December 2014 in […]

Transatlantic Data Science Workshop

January 5th, 2016 / in Announcements, NSF, pipeline, policy, Research News / by Helen Wright

Stanford University, in conjunction with the National Institutes of Health (NIH) and the Research Councils of the United Kingdom (RCUK) with support from the National Science Foundation (NSF), is hosting a Transatlantic Data Science Workshop. This two-day workshop will be held on March 1-2, 2016 at the NIH campus in Bethesda, MD. The objectives of this workshop are: To facilitate the development of novel computational approaches to health; To guide computer scientists, data scientists, statisticians, computational scientists, and mathematicians in discovering and accessing US and UK health datasets; and To support early stage researchers in establishing interdisciplinary, international collaborations. The first day of the workshop will be devoted to exploring […]

White House National Strategic Computing Initiative Workshop

October 22nd, 2015 / in policy, Research News / by Helen Wright

The White House just wrapped up their National Strategic Computing Initiative Workshop (NSCI). The purpose of the workshop was to maximize the impact and inform long term planning for the NSCI, by creating new partnerships between academia and industry. Tom Kalil, Deputy Director for Policy for the White House Office of Science and Technology Policy, laid out the newly released nanotechnology-inspired Grand Challenge and asked the audience: What are the main actions that we need to develop in order to carry out the president’s five main actions laid out in the NSCI? The three themes from the workshop were: Convergence of data-intensive and numerically intensive computing Hardware technology for future HPC systems Improving productivity in […]

CCC Uncertainty in Computation Workshop Report

August 19th, 2015 / in Announcements, workshop reports / by Helen Wright

The Computing Community Consortium’s (CCC) is excited to release a report titled Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science, the result of the Uncertainty in Computation Visioning Workshop, which was held in Washington DC in mid October.  The workshop brought together over 40 scientists from different disciplines including simulation and data science, engineering, statistics, applied mathematics, visualization, decision science and psychology. The overarching goal of the workshop was to open a discussion between experts with diverse scientific backgrounds about the topic of uncertainty/risk and its communication. Workshop participants identified significant shortcomings in the ways we currently process, present, and interpret uncertain data. Specific recommendations on a research agenda for the future were […]