Ai4 is hosting their 2023 conference August 7-9 at MGM Grand in Las Vegas. Ai4 is an organization that aims to establish a common framework for AI development and use going forward. The conference will bring together business leaders and data practicers spanning a broad array of practice areas from healthcare, to banking and social media to facilitate the responsible adoption of AI and machine learning technology. Ai4 just announced their line up of over 200+ speakers, including JONNIE BRADLEY (Acting Director, Artificial Intelligence and Technology Office – U.S. Department of Energy), NITZAN MEKEL-BOBROV (Chief AI Officer – eBay), JIGYASA GROVER (Machine Learning Engineer – Twitter) and many more top […]

Thank you to everyone who has nominated a colleague or self-nominated themselves for the opportunity to be a CCC Council member. As a reminder, nominations are open through 11:59pm EST on Friday, February 10, 2023. Read more about the nomination process and CCC Council member responsibilities in our original post here. If you have any questions, please direct them to the CCC Director Ann Schwartz (aschwartz@cra.org).

The Institute of Electrical and Electronics Engineers (IEEE) just announced their 2023 class of Elevated Fellows. Among them are members of the community with past affiliations and/or involvement with the Computing Research Association and the Computing Community Consortium activities.  Fred Chong (Speaker at CCC Workshop “Next Steps in Quantum Computing: Computer Science’s Role”) Aaron Dollar (Contributor to the 2016 update to the Roadmap for US Robotics) Juan Gilbert (2009 CIFellow Mentor, also participated in several CRA and CRA-WP events) Yoshi Kohno (Presenter Computer Science: Past, Present and Future)  Jana Kosecka (contributor to 2009 and 2020 update to the Roadmap for US Robotics and author of white paper “Next Generation Robotics”) […]

A reminder that white papers for a mid-cycle update to the Robotics Roadmap are due January 9, 2023. Through support from the Computing Community Consortium (CCC), the US National Robotics Roadmap was first created thirteen years ago by a group of 120 people from industry and academia. It has since been used by government agencies, universities and companies as a reference and call to action from the robotics community. The first roadmap was published in 2009, then revised in 2013, 2016, and 2020. Our objective is to develop a short mid-cycle update, identifying gaps that are not being addressed in current research, in funding opportunities, at companies, and in the government, which need to be addressed […]

The Computing Community Consortium (CCC) is charged with enabling the pursuit of innovative, high-impact computing research that aligns with pressing national and global challenges. Established in 2006 through a cooperative agreement between the U.S. National Science Foundation (NSF) and the Computing Research Association (CRA), the CCC provides a voice for the national computing research community, facilitating the development of a bold, multi-themed vision for computing research and communicating that vision to a wide range of stakeholders. To fulfill its mission, the CCC seeks visionary leaders — people with great ideas, sound judgment, and the willingness to work collaboratively to see things through to completion. The Council is composed of 23 […]

Jennifer Rexford, former Computing Community Consortium (CCC) Council Member, Engineering Professor and Chair of the Computer Science Department at Princeton University was just named Princeton’s provost. The provost position acts as chief academic advisor and chief budget officer. Rexford will start her new position in March, 2023. Rexford is a long-time friend of the CCC. She served on the CCC Council from 2014 – 2020 where she held an exec position. She was involved in many initiatives during her time at the CCC. You can read several white papers she co-authoring below: Evolving Academia/Industry Relations in Computing Research  (2019) Advanced Cyberinfrastructure for Science, Engineering, and Public Policy (2017) Systems Computing […]