Code 8.7 is a two-day conference that brings the computational research and artificial intelligence (AI) communities together with those working to achieve Target 8.7 of the Sustainable Development Goals. With Target 8.7, 193 countries agreed to take immediate and effective measures to end forced labour, modern slavery and human trafficking by 2030, and the worst forms of child labour by 2025. Computational science, AI and machine learning can accelerate our understanding of these problems and help us determine “effective measures” to address them. The featured image was made by Ira Gelb.
The workshop was 1.5 days in the Washington, DC area. It was an opportunity for attendees to meet National Science Foundation program officers as well as representatives from other agencies. The content covered at the workshop came from the 2017 CCC Symposium, recent CCC visioning workshops, and CRA programs for Career Mentoring and Leadership in Science Policy.
Over the past 11 years, the Computing Community Consortium has hosted dozens of research visioning workshops to imagine, discuss, and debate the future of computing and its role in addressing societal needs. The second CCC Computing Research symposium draws these topics into a program designed to illuminate current and future trends in computing and the potential for computing to address national challenges.
A rise in real-world applications of AI has stimulated significant interest from the public, media, and policy makers, including the White House Office of Science and Technology Policy (OSTP). Along with this increasing attention has come media-fueled concerns about purported negative consequences of AI, which often overlooks the societal benefits that AI is delivering and can deliver in the near future. This symposium will focus on the promise of AI across multiple sectors of society. We seek to bring together AI researchers and researchers/practitioners/experts/policy makers from a wide variety of domains.
The AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI (co-sponsored by AAAI and the CRA Computing Community Consortium) aims to bring together researchers in relevant areas of artificial intelligence, high performance data and computing infrastructures and services, and selected application areas to discuss progress on, and articulate a research agenda aimed at addressing, the AI grand challenge of accelerating science.
There has been a dramatically increasing interest in Artificial Intelligence (AI) in recent years. AI has been successfully applied to societal challenge problems and it has a great potential to provide tremendous social good in the future. In this workshop, we will discuss the successful deployments and the potential use of AI in various topics that are essential for social good, including but not limited to urban computing, health, environmental sustainability and social welfare/disadvantaged segments of society.
Over the past 10 years, the Computing Community Consortium has hosted dozens of research visioning workshops to imagine, discuss, and debate the future of computing and its role in addressing societal needs. This symposium draws these topics into a program designed to illuminate current and future trends in computing and the potential for computing to address national challenges.
Between 2009 and 2011, 127 PhD graduates in Computer Science and related fields were awarded Computing Innovation Fellowships, a short-term Postdoctoral Fellowship to help keep recent graduates in the field during the economic downturn.
On February 16, 2012, more than 150 federal officials, Congressional staffers, academic researchers, and industry leaders packed a room overlooking the United States Capitol to mark two decades of coordinated federal investment in networking and information technology research and development. The daylong symposium, titled “The Impact of NITRD: Two Decades of Game-Changing Breakthroughs in Networking and Information Technology—Expanding Possibilities Ahead,” explored progress and prospects in the field.