The following Great Innovative Idea is from Barry Smyth, the Digital Chair of Computer Science at University College Dublin and the Director of the Insight Centre for Data Analytics. Dr. Smyth was one of the Computing Community Consortium (CCC) Blue Sky Track Conference Winners at AAAI-19 for his paper Recommender Systems: A Healthy Obsession. The Idea The idea of using AI and machine learning to help people to train more effectively for, and race in, marathons, and other endurance events. Impact I believe that it has the potential to change how people exercise, by helping them to train more efficiently and more safely. Other Research I work in the area […]

The following blog is reposted from the Delta 8.7 website. You can view the original post here. Contributions by:  James Cockayne  | Project Director – Delta 8.7 Nadya Bliss  | Director, the Global Security Initiative at Arizona State University Doreen Boyd  | Head of the Rights Lab’s Data Programme, University of Nottingham Hannah Darnton  | Programme Manager in Ethics, Technology and Human Rights, BSR Ann Drobnis  | Director, the Computing Community Consortium James Goulding  | Deputy Director of N-LAB, the University of Nottingham Daniel Lopresti  | Professor and Chair of the Department of Computer Science and Engineering, Lehigh University Anjali Mazumder  | Rutherford Fellow, the Alan Turing Institute of Data Science and Artificial Intelligence Zoe Trodd  | Director of the Rights Lab, the University of Nottingham   Code 8.7: How […]

The Association for Computing Machinery (ACM) has announced it’s 2018 Prize in Computing award to Shwetak Patel, of the University of Washington and Google and a Computing Community Consortium (CCC) Council Member.  The ACM Prize in Computing is their second most prestigious award in all of computing (after the Turing Award – known as the Nobel Prize in Computing).  Patel is the recipient of the 2018 ACM Prize in Computing for contributions to creative and practical sensing systems for sustainability and health.  In just a decade, he has had incredible impact in the applications of AI and sensing in two broad areas – developing methods for disaggregating energy and water […]

The National Science Foundation (NSF) has released a Dear Colleague Letter (DCL) calling for proposals “to the Operations Engineering program into operational methods to discover, disrupt and disable illicit supply networks,” such as those that enable human trafficking and the sale of illegal weapons, drugs, and animals. While this call is lead by the NSF’s Engineering Directorate, proposals will require expertise in social and computational science and the DCL includes NSF’s Directorates for Computer and Information Science and Engineering (CISE) and Social, Behavioral and Economic Sciences (SBE). Related to this fight against illicit supply networks, the Computing Community Consortium (CCC) recently cosponsored the Code 8.7: Using Computation Science and AI to […]

On February 19-20, 2019 the Computing Community Consortium (CCC) co-sponsored the Code 8.7: Using Computation Science and AI to End Modern Slavery with the United Nations University Centre for Policy Research, The Alan Turing Institute, Tech Against Trafficking, University of Nottingham Rights Lab, and Arizona State University Global Security Initiative. Code 8.7 brought together computer science researchers and technologists with policy researchers, law enforcement officials, and activists involved in the fight against human trafficking. Code 8.7 was named after Target 8.7 of the Sustainable Development Goals. With Target 8.7, 193 countries agreed to take immediate and effective measures to end forced labor, modern slavery, and human trafficking by 2030, and the worst forms of child […]

The Computing Community Consortium’s (CCC) Industry Working Group has released their Evolving Academia/Industry Relations in Computing Research: Interim Report. In 2015, the CCC sponsored an industry round table that produced the report “The Future of Computing Research: Industry-Academic Collaborations”. Since then, several important trends in computing research have emerged such as the dramatic increase in undergraduate computer science enrollment, the increased availability of information technology, and the rising level of interactions between professors and companies, which has led to the sharing of critical industry resources (such as cloud computing and data). This report considers how these trends impact the interaction between academia and industry in computing fields. The interim report […]