The computer and information science and engineering (CISE) fields can benefit greatly from collaborations with the social, behavioral, and economic science (SBE) fields. Systems that make our lives easier—such as autonomous vehicles, wearables, intelligent agents, electronic health records, and telepresence robots—are all socio-technical systems. As stated in a recent National Science Foundation (NSF) report on Harnessing the Computational and Social Sciences to Solve Critical Societal Problems from a May 2020 roundtable,  “Workplace relationships, media markets, health delivery systems, and criminal justice organizations are all increasingly characterized by a complex mixture of human actors and institutions on the one hand, and digital platforms and algorithms on the other hand. Efforts to […]

The following is a message from the new CRA-I Industry Committee.  The CRA-Industry Committee is hosting a series of virtual roundtable meetings focused on issues of interest to our computing research industry partners. The first roundtable, “Corporate Responsibility and Computing Research” will be held on July 14, 2021 from 4:00-5:30 PM ET. In order to attend this event, please register here. Please forward this to your appropriate colleagues and encourage them to attend! CRA-Industry Virtual Roundtable on Corporate Responsibility and Computing Research July 14, 2021 4:00 PM – 5:30 PM Eastern Time Today, more companies are deliberately extending their social responsibility initiatives at the behest of investors, customers, and employees. How should industry […]

The Association for Computing Machinery (ACM) and IEEE Computer Society recently announced that former Computing Research Association (CRA) and Computing Research Association- Widening Participation (CRA-WP) Board Member and current National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Assistant Director Margaret Martonosi is the recipient of the 2021 Eckert-Mauchly Award. Martonosi is the Hugh Trumbull Adams ’35 Professor of Computer Science at Princeton University, where she has been on the faculty since 1994. In 2018, she led the Computing Community Consortium (CCC) effort to understand the next steps in Quantum Computing for computer science. The Eckert-Mauchly Award is known as the computer architecture community’s most prestigious award. Martonosi was cited […]

Last week, we announced the retirement of Computing Research Association Executive Director Andrew Bernat.  The description and advertisement for the Executive Director position, which we are hoping to fill this fall, can be found below. Please share.  The Computing Research Association (CRA)—the nation’s premier member organization of academic departments, laboratories, and industry centers aimed at advancing computing research to change the world—seeks an inclusive, transparent, and enterprising leader to serve as its next Executive Director (ED). CRA counts among its members more than 200 North American organizations active in computing research: academic departments of computer science and computer engineering; laboratories and centers in industry, government, and academia; and affiliated professional […]

Yesterday, the White House Office of Science and Technology Policy’s National Artificial Intelligence (AI) Initiative Office launched the new AI.gov website.  This website is the home of the National AI Initiative Act of 2020 and as stated in the press release “the connection point to ongoing activities to advance U.S. leadership in AI from policy documents and strategies, to applications of AI, to the latest news and updates from the agencies and federal advisory boards helping shape the activities of the National AI Initiative.”  National AI Initiative Act of 2020 became law on January 1, 2021, providing for a coordinated program across the entire Federal government to accelerate AI research […]

Biresh Kumar Joardar began his CIFellowship in September 2020 after receiving his PhD from Washington State University in Summer of 2020. Joardar is at Duke University working with Krishnendu Chakrabarty, Distinguished Professor and Chair in the Department of Electrical and Computer Engineering.  Current Project The theme of my current project is “Machine Learning for Machine Learning”. The project aims to demonstrate the symbiotic relationship between machine learning (ML) algorithms and computer system design. In this new paradigm, hardware researchers benefit from new data-driven ML algorithms and ML researchers benefit from efficient computing enabled by new hardware-software co-design. More specifically, I work on designing heterogeneous manycore and in-memory computing architectures with […]