A number of institutions are coming together to discuss how researchers are using generative AI as a tool for research in The Generative AI Coast to Coast webinar series. Co-hosted by Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute, an Affiliated Institute of the University of California, Berkeley; the University of Michigan; and the University of Washington the webinars will bring feature speakers from peer institutions to discuss Generative AI in research with the larger goal of fostering a broad community of cross-institutional and interdisciplinary researchers, and building research ideas and collaboration. Each webinar will include extensive audience discussion time. Included in the line-up of speakers is CCC […]

The National Science Foundation (NSF) recently released a joint Dear Colleague Letter (DCL) calling for “the science and engineering communities to develop forward-thinking research that will demonstrably aid in the Nation’s goal of reaching net-zero greenhouse gas (GHG) emissions and developing approaches for adapting to the change that is already occurring.”  “This DCL encourages the submission of conference (workshop), GOALI, or standard research proposals to appropriate existing NSF core programs to lay the foundation for disciplinary and interdisciplinary research on innovative solutions to climate change.” NSF will hold a webinar about this DCL on Thursday, October 28th from 4 – 5 PM ET. Learn more and register to attend on […]

The Marconi Society, a nonprofit chaired by Vint Cerf and dedicated to bridging the digital divide, is offering a complimentary webinar called The Issues That Keep Us Up at Night, which will take place on September 15 at 11 a.m. ET. Moderated by luminary Sir David Payne, panelists Vint Cerf (Google), Jane Coffin (ISOC), Joseph Kakande (Facebook), Muriel Médard (MIT) and Colin Rhinesmith (Benton Institute for Broadband and Society) will kick off an ongoing discussion of the digital inclusion challenges facing policymakers, technologists, and community organizers. This interdisciplinary conversation is perfect for those looking to collaborate on solving critical barriers in connecting the unconnected. Register now here!

Last week the Computing Research Association (CRA) and Computing Community Consortium (CCC) announced the Computing Innovation Fellows (CIFellows) Program for 2021. This program recognizes the significant disruption to the academic job search caused by the pandemic and associated economic uncertainty and aims to help ensure continuity of the research pipeline through disruptions related to COVID-19.  Awards will support an individual for 2 years as a postdoctoral fellow (“CIFellow”) at a host institution of their choosing. CRA will issue subawards to the Host Institution to cover an annual postdoc salary of $75,000, plus fringe and indirect costs (capped at 35%). CIFellows will have the ability to select a Fall 2021 or […]

AI for Good Global Summit is hosting a webinar on AI to Prevent Modern Slavery, Human Trafficking and Forced and Child Labour on Wednesday, February 24th from 10AMb – 11:30AM EST. This panel will bring together Computing Community Consortium (CCC) Execuitve Council member Nadya Bliss (ASU) along with other members of the CCC/Code 8.7 visioning workshop on Applying AI in the Fight Against Modern Slavery including Alice Eckstein (UNU-CPR), James Goulding (University Of Nottingham), and Anjali Mazumder (The Alan Turing Institute). The goal of the webinar is to discuss promising research avenues within AI and Computational Science as well as some specific cases in which application of these technologies are supporting […]

The National Science Foundation (NSF) is holding a webinar on September 11, 2019 at 2:00 PM ET for the NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) solicitation NSF 19-591, submission requirements, and program updates. The NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) seeks to accelerate fundamental, broad-based research on wireless-specific machine learning (ML) techniques, towards a new wireless system and architecture design, which can dynamically access shared spectrum, efficiently operate with limited radio and network resources, and scale to address the diverse and stringent quality-of-service requirements of future wireless applications. In parallel, this program also targets research on reliable distributed ML by addressing the challenge […]