The Computing Community Consortium (CCC) will hold a virtual workshop the week of Oct. 5-9 (with a reception on Fri., Oct. 2) to address the physics & engineering challenges in adiabatic/ reversible classical computing. This workshop will gather the research community in this field, lay a common foundation of existing state-of-the-art knowledge, and work together to prepare a comprehensive workshop report that can make the case for a major new initiative effectively to federal-level decision-makers. Workshop participants will be selected by invitation only. We seek short position papers to help us create the agenda for the workshop and select attendees. You may submit a position paper here, and more details […]
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.
Author Archive
CCC Reversible Classical Computing Workshop – Call for Position Papers
July 2nd, 2020 / in Announcements / by Khari DouglasCatalyzing Computing Podcast Episode 25 – Game-Based Learning and Photovoltaics with Erik Verlage (Part 3)
June 29th, 2020 / in podcast / by Khari DouglasA new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. This is part 3 of Khari Douglas’ interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode we discuss integrated photonics and how optical fibers work. If you’re interested in playing one of the games mentioned on the podcast, you can reach Erik Verlage at everlage@mit.edu. If you haven’t heard parts one […]
Catalyzing Computing Podcast Episode 24 – Game-Based Learning and Photovoltaics with Erik Verlage (Part 2)
June 22nd, 2020 / in CCC, podcast / by Khari DouglasA new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. This is part 2 of Khari Douglas’ interview with Dr. Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode, Erik continues to discuss building educational games and using games, virtual reality, and augmented reality for job training. If you’re interested in playing one of the games mentioned on the podcast, you can reach […]
CCC Wide-Area Data Analytics Workshop Report Released
June 18th, 2020 / in workshop reports / by Khari DouglasThe Computing Community Consortium (CCC) recently released the Wide-Area Data Analytics workshop report. The workshop was organized by Rachit Agarwal (Cornell University) and CCC Council Member Jen Rexford (Princeton University) to identify challenges and opportunities in data analytics and related research given that modern datasets are often distributed across many locations. In some cases, datasets are naturally distributed because they are collected from multiple locations, such as sensors spread throughout a geographic region. In other cases, datasets are distributed across different data centers to improve scalability or reliability, or to reduce cost; these distributed locations could be a mix of public clouds, private data centers, and edge computing sites. “The […]
Catalyzing Computing Podcast Episode 23 – Game-Based Learning and Photovoltaics with Erik Verlage (Part 1)
June 15th, 2020 / in podcast / by Khari DouglasA new episode of the Computing Community Consortium‘s (CCC) podcast, Catalyzing Computing, is now available. Khari Douglas interviews Erik Verlage, a research scientist at MIT who creates digital learning tools for photonics education. He is developing 3-D virtual lab environments that allow users to interact with micron-scale photonic circuit components, enabling self-directed learning for the emerging photonics workforce. His research areas include integrated photonics, photovoltaic materials, and photoelectrochemistry. In this episode we discuss building educational games and using games, virtual reality, and augmented reality for job training. You can stream the episode in the embedded player below or find it on Apple Podcasts | Spotify | Stitcher | Google Play | Blubrry | iHeartRadio | Youtube. Download the episode transcript here. If you are interested […]
CI Fellows 2020 – Applications Now Open
May 29th, 2020 / in Announcements, awards, CIFellows / by Khari DouglasApplications are now open for the Computing Research Association (CRA) and Computing Community Consortium’s (CCC) Computing Innovation Fellows (CIFellows) Program for 2020. This program recognizes the significant disruption to the academic job search caused by the COVID-19 pandemic and associated economic uncertainty and aims to provide a career-enhancing bridge experience for recent and soon-to-be PhD graduates in computing. The goal of the CIFellows program is to create career growth opportunities that support maintaining the computing research pipeline. Computing research is defined as any area included under the National Science Foundation (NSF) Computing and Information Science and Engineering (CISE) Directorate. This effort takes inspiration from CRA/CCC’s NSF-funded Computing Innovation Fellows Programs with cohorts starting 2009, 2010, and […]