Ongoing CCC Activities
In the chart below you can check the status of ongoing white papers, reports, and workshops.
|AI Working Group||The Artificial Intelligence Working Group has generated an AI Roadmap. Lead by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University), this new effort is in support of the Administrations’ efforts in this area, and brought together academic and industrial researchers and federal agency representatives to help chart a course for needed research in AI, through a series of workshops in the Fall of 2018, resulting in a Roadmap that was released in the summer of 2019. The final Roadmap is now available here. Learn more about the process to create the roadmap here.|
|Future of the Research Enterprise Task Force||
The Future of the Research Enterprise task force leads activities to address the future of the research enterprise in an evolving computing research ecosystem. The task force has released the Evolving Methods for Evaluating and Disseminating Computing Research white paper. Based on interviews with members of the computing research community, this white paper presents the trends the task force has observed, discusses the impacts of changing review and dissemination processes, and suggests methods to reduce the negative impacts of these trends. Read the full report here.
|Reversible Computing Workshop||The Computing Community Consortium (CCC) held a virtual workshop the week of Oct. 5-9 to address the physics & engineering challenges in adiabatic/ reversible classical computing. This workshop gathered the research community in this field to lay a common foundation of existing state-of-the-art knowledge. A comprehensive workshop report is now in progress.|
|Assured Autonomy Workshop Series||Autonomy is becoming mainstream. The anticipation is that cyber-physical-human systems and services enabled by autonomy will improve the future work conditions and the quality of life for humans and create new business models. On the other hand, a number of looming challenges—whether autonomous systems are safe and secure, whether we can assure their safety and security, whether humans will ever trust and work with them, whether we can integrate them at scale and whether we can do all these economically—overshadow the popular belief that a revolution driven by autonomy is imminent.
This series of three workshops aims to help create a unified understanding of the goals for assured autonomy and the research trends as well as near-term, mid-term and long-term research needs supporting these goals. The first workshop took place October 16-17 in Arlington, VA, and the second workshop took place February 20-21, 2020 in Phoenix, AZ. A third workshop took place virtually July 29, 2020. A workshop report was released in October 2020. Read it here.
|NAE/CCC Workshop on the Role of Robotics in Infectious Disease Crises workshop||This CCC and National Academy of Engineering (NAE) co-sponsored a virtual workshop to study the role of robotic systems in infectious disease crises. It was held on July 9-10th, 2020 and a workshop report is now available here.
The report briefly 1) identifies key challenges faced by health care responders and the general population; 2) examines robotic/technological responses to these challenges; 3) identifies key research/knowledge barriers that need to be addressed in developing effective, scalable solutions; 4) identifies workforce training, regulatory, and infrastructure needs that should be addressed in order to enable rapid deployment of these systems; and 5) suggests follow-on steps to more fully develop and implement this strategy. A workshop report was released in October 2020. Read it here.
|Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery||In the United States, 20.2 million adults or 8% of the population is estimated to suffer from a substance use disorder (SUD). SUDs include a wide array of substances such as alcohol, opioids, methamphetamine, and other substances and are characterized by an inability to decrease use, despite severe social, economic, and health-related consequences to the individual. In 2017, the US Department of Health & Human Services declared a public health emergency to combat what has been termed as “the opioid epidemic” and highlighted five critical strategies:
Computational support may contribute to each of these strategies by mobilizing a new set of systems, algorithms, and tools to understand and combat substance use disorders. These technologies may provide scalable and accessible complementary approaches to traditional methods and services.
In November, 2019 the CCC held a workshop to the discuss opportunities and challenges to developing such computational support systems in Washington, D.C. A workshop report was released in June 2020 — read it here.
|Code 8.7: Using Computation Science and AI to End Modern Slavery||On February 19-20, 2019, the CCC co-sponsored the Code 8.7: Using Computation Science and AI to End Modern Slavery conference 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. The two-day conference brought together 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. You can stream the recordings of the conference on the Delta 8.7 Facebook page. A podcast episode about the conference is available for streaming here.
On March 3-4, 2020, the CCC and Code 8.7 held a workshop on Applying AI in the Fight Against Modern Slavery in Washington, DC. Session topics included self-aware learning, meaningful interaction with AI systems, integrated intelligence, open AI platforms and resources, and computational techniques designed to support the sharing of highly sensitive data while at the same time providing strong privacy guarantees. A workshop report is in progress.
For more information about ongoing CCC activities contact Director Ann Drobnis at adrobnis [at] cra.org.