ACM named Paul Mockapetris recipient of the 2019 ACM Software System Award for developing the Domain Name System (DNS), which provides the worldwide distributed directory service that is an essential component of the functionality of the global internet. In 1983, Mockapetris designed and built the DNS, creating the associated query protocol, a server implementation, and initial root servers. Taken together, these components provided the first stable operational DNS system.
Noga Alon, Phillip Gibbons, Yossi Matias, and Mario Szegedy have been named 2019 ACM Paris Kanellakis Theory and Practice Award recipients for seminal work on the foundations of streaming algorithms and their application to large-scale data analytics. They pioneered a framework for algorithmic treatment of streaming massive datasets, and today their sketching and streaming algorithms remain the core approach for streaming big data and constitute an entire subarea of the field of algorithms.
The 2019 ACM – AAAI Allen Newell Award honors Lydia E. Kavraki and Daphne Koller. Kavraki is recognized for pioneering contributions to robotic motion planning, including randomized motion planning algorithms and probabilistic roadmaps, with applications to bioinformatics and biomedicine. Koller is recognized for seminal contributions to machine learning and probabilistic models, the application of these techniques to biology and human health, and for contributions to democratizing education.
Mordechai Ben-Ari was named recipient of the Karl V. Karlstrom Outstanding Educator Award for his pioneering textbooks, software tools and research on learning concurrent programming, program visualization, logic, and programming languages, spanning four decades and aimed at both novices and advanced students in several subfields of computing. Many of Ben-Ari's books are the definitive textbooks in their respective areas, and several have been translated into many languages.
Michael Ley was named recipient of the ACM Distinguished Service Award for creating, developing, and curating DBLP, an extraordinarily useful and influential online bibliographic resource that has changed the way computer scientists work. Ley created DBLP in 1993 to cover proceedings and journals from the fields of database systems and logic programming (from which the acronym “DBLP” arose). DBLP has changed the way computer scientists use bibliographic data and has become an invaluable asset for virtually every researcher in the field.
Arati Dixit was named recipient of the Outstanding Contribution to ACM Award for contributing to the growth and diversity of ACM programs in India, especially ACM-W India. Dixit helped launch the first ACM-W Celebration of Women in Computing event in Pune, and served as Chair of ACM-W India. She also organized women-only summer schools as part of a nationwide initiative to encourage undergraduate students to take up graduate studies. Dixit is the founding Vice Chair of ACM India's Special Interest Group on Computer Science Education.
ACM has established a special category of the ACM Gordon Bell Prize that will recognize outstanding research achievements that use high performance computing applications to understand the COVID-19 pandemic, including the understanding of its spread. Financial support of the $10,000 cash prize that accompanies the award is provided by Gordon Bell, a pioneer in high performance computing. Nominations for this inaugural award are due October 8, 2020.
ACM has named Ed Catmull, computer scientist and former president of Pixar and Disney Animation Studios, and Pat Hanrahan, a founding employee at Pixar and Stanford University professor, recipients of the 2019 ACM A.M. Turing Award for fundamental contributions to 3-D computer graphics, and the revolutionary impact of these techniques on computer-generated imagery (CGI) in filmmaking and other applications. Their work has fundamentally influenced the field of computer graphics through conceptual innovation and contributions to both software and hardware.
ACM has named David Silver of University College London and Google's DeepMind the recipient of the 2019 ACM Prize in Computing for breakthrough advances in computer game-playing. Recognized as a central figure in the growing and impactful area of deep reinforcement learning, Silver’s most well-known achievement was leading the team that developed AlphaGo, a computer program that defeated the world champion of the game Go. AlphaGo is recognized as a milestone in artificial intelligence research.
ACM has named Sarit Kraus of Bar-Ilan University the 2020-2021 Athena Lecturer. Kraus made foundational contributions to artificial intelligence, notably to multi-agent systems, human-agent interaction, autonomous agents and nonmonotonic reasoning, and exemplary service and leadership in these fields. Her contributions span theoretical foundations, experimental evaluation, and practical applications.
ACM's Practitioners Board has created ACM ByteCast, a new podcast series in which hosts Rashmi Mohan and Jessica Bell interview researchers, practitioners and innovators who are at the intersection of computing research and practice. In each monthly episode, guests will share their experiences, the lessons they’ve learned, and their own visions for the future of computing.
Listen to the first episode featuring 2017 ACM A.M. Turing Award laureates John Hennessy and David Patterson on the ACM Learning Center website, and subscribe to the series wherever you get your podcasts.
On 3 April, members of the following SIGs (who were in good standing as of 16 March 2020) were sent voting information from Election Services Corporation (ESC), a third party that is conducting the election: SIGCAS, SIGMICRO, SIGSIM, SIGSPATIAL, SIGUCCS.
Please contact ESC if you have not received an email. If ACM does not have an email address on file, members will receive the voting information via postal mail. Ballots are due by 3 June at 16:00 UTC. You can view the candidate slate here.
ACM has named Maria Balcan of Carnegie Mellon University the recipient of the 2019 ACM Grace Murray Hopper Award for foundational and breakthrough contributions to minimally-supervised learning. Her influential and pioneering work in machine learning has solved longstanding open problems, enabled entire lines of research crucial for modern AI systems, and has set the agenda for the field for years to come.
In March 2020 ACM formed a Presidential Task Force (PTF) to help conference organizers transition their events to online. The PTF is working on a guide to offer practical advice and shed light on the largely unfamiliar territory of online conferencing.
The report, available here, includes pointers to a live document with additional resources. We welcome comments, suggestions and experience reports from the community.
ACM’s Europe Technology Policy Committee issued detailed principles and practices for the development and deployment of contact tracing technology intended to track and arrest the spread of COVID-19. Europe TPC's statement calls on governments that adopt such systems to choose "only those which... respect and protect the rights of all individuals; safeguard personal data and privacy to the highest degree technically possible; and are subject to scrutiny by the scientific community and civil society before, during and after deployment." Read the statement in Italian here and in French here.
Recognizing that many computing researchers, practitioners, and academics are now working remotely, ACM is committed to supporting research, discovery and learning during this time of crisis. For the next three months, through June 30, 2020, we are making all work published by ACM in our Digital Library freely accessible. We hope this will help researchers, practitioners and students maintain access to our publications. Learn more.
US Digital Response is a volunteer-run, non-partisan effort to help federal, state, and local government with technology, data, design, operations, communications, project management, and more during the COVID-19 crisis. This initiative is calling for data scientists, front-end/back-end engineers, designers, engineering managers, product managers, user researchers, and others to lend their skills and expertise to the fight against COVID-19.
Recent ACM Journal Launches
Digital Government: Research and Practice (DGOV) is an interdisciplinary journal on the potential and impact of technology on governance innovations and its transformation of public institutions. It promotes applied and empirical research from academics, practitioners, designers, and technologists, using political, policy, social, computer, and data sciences methodologies. The inaugural issue is now available in the ACM Digital Library.
ACM Transactions on Computing for Healthcare (HEALTH) is a multidisciplinary journal for scientific and technological results pertaining to how computing is improving healthcare. HEALTH is multidisciplinary, intersecting CS, ECE, mechanical engineering, biomedical engineering, behavioral and social science, psychology and the health field. The inaugural issue is now available in the ACM Digital Library.
Digital Threats: Research and Practice (DTRAP) targets the prevention, identification, mitigation, and elimination of digital threats, and aims to bridge the gap between academic research and industry practice. The journal's inaugural issue, a special issue including content from the 2019 FIRST (Forum of Incident Response and Security Teams) Conference, is now available in the ACM Digital Library.
The new journal ACM Transactions on Internet of Things (TIOT) will cover applications, communication networks, data analytics, wearable devices, and many more topics in the context of IoT, with a focus on system designs, end-to-end architectures, and enabling technologies. TIOT solicits research that provides experimental evidence of its effectiveness in realistic scenarios. The inaugural issue is now available in the ACM Digital Library.
The new journal ACM/IMS Transactions on Data Science (TDS) includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data-intensive computing. We invite papers that address challenges from acquisition to data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation. The inaugural issue is now available in the ACM Digital Library.
Mona Singh is a Professor of Computer Science at the Lewis Sigler Institute for Integrative Genomics at Princeton University. Her research interests include computational molecular biology, as well as its interface with machine learning and algorithms. Singh received a US Presidential Early Career Award for Scientists and Engineers and is a Fellow of ACM and of the International Society for Computational Biology.
ACM recently updated its Code of Ethics and Professional Conduct. The revised Code of Ethics addresses the significant advances in computing technology since the 1992 version, as well as the growing pervasiveness of computing in all aspects of society. To promote the Code throughout the computing community, ACM created a booklet, which includes the Code, case studies that illustrate how the Code can be applied to situations that arise in everyday practice and suggestions on how the Code can be used in educational settings and in companies and organizations. Download a PDF of the ACM Code booklet.
Thomas Williams is an Assistant Professor at the Colorado School of Mines, where he directs the Mines Interactive Robotics Research Lab. His research broadly focuses on artificial intelligence for human-robot interaction, and is strongly informed by work in cognitive science, especially theories from linguistics, philosophy, and cognitive psychology. His honors include a New and Future AI Educator Award from the Association for the Advancement of Artificial Intelligence, and Early Career Awards from NASA and AFOSR.
ACM’s US Technology Policy Committee (USTPC) joined many of the nation’s leading experts in cybersecurity, computing, and science in calling on all governors and state election directors to refrain from using any form of internet voting or voting app system in the 2020 elections. The joint open letter includes a detailed analysis prepared by the AAAS Center for Scientific Evidence in Public Issues which clearly demonstrates that internet voting is not a secure solution for voting in the US.
A Snapshot of the Frontiers of Fairness in Machine Learning
The last decade has seen a vast increase both in the diversity of applications to which machine learning is applied, and to the import of those applications. Machine learning is now used to filter loan applicants, deploy police officers, and inform bail and parole decisions, among other things. "Fairness and transparency" transformed from a niche topic to a major subfield of machine learning, complete with a dedicated archival conference—ACM FAT*). In this video, Alexandra Chouldechova and Aaron Roth discuss "A Snapshot of the Frontiers of Fairness in Machines Learning,” a Review Article in the May 2020 Communications of the ACM.
Mozilla’s record-and-replay debugging tool rr was built to test failures in the Firefox browser. After it was delivered, it became widely used outside of Mozilla, for regular debugging as well as for sleuthing out elusive failures. In “To Catch a Failure: The Record-and-Replay Approach to Debugging,” a Case Study in ACM Queue, Mozilla developers Robert O'Callahan and Kyle Huey recount the challenges they faced in creating and extending rr to Devon O'Dell, Senior Systems Engineer at Google, and Terry Coatta, CTO of Marine Learning Systems.
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