Tag Archive: 2019 Visioning Activities

Wide-Area Data Analytics

/, //CRA/CCC
Modern datasets are often distributed across many locations. This workshop brought together researchers and practitioners in the database, networking, distributed systems, and storage fields in order to bridge the gap in research within wide-area data analytics.

Misinformation Roundtable

/, //Washington, DC
This roundtable brought together computer scientists along with experts from disciplines potentially to include electrical engineering, psychology, marketing, information science, and political science to discuss challenges in detecting and countering misinformation.

AI Roadmap

/, //CCC & AAAI
In fall 2018, the Computing Community Consortium (CCC) started a new initiative to create a Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University). A series of three workshops were held in the Fall/Winter of 2018/2019, with the goal of identifying challenges, opportunities, and pitfalls, and create a compelling report that will effectively inform future federal priorities—including future AI R&D Investments. The final report is now available.
Fairness and Accountability Task Force held a visioning workshop on Economics and Fairness, May 22-23, 2019 in Cambridge, Massachusetts. This workshop brought together computer science researchers with backgrounds in algorithmic decision making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world. '>

Economics and Fairness

/, , //Cambridge MA
The Computing Community Consortium's (CCC) Fairness and Accountability Task Force held a visioning workshop on Economics and Fairness, May 22-23, 2019 in Cambridge, Massachusetts. This workshop brought together computer science researchers with backgrounds in algorithmic decision making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world.

Artificial Intelligence Roadmap Workshop 3 – Self Aware Learning

/, //JW Marriott San Francisco Union Square
Given the increasingly pervasive use in AI technologies in all sectors of industry and government and the enormous potential for future AI-based technologies, NSF has asked the Computing Community Consortium to organize an AI Roadmap to help prioritize research investments. The third workshop theme is Learning and Robotics and took place on January 17-18, 2019 in San Francisco. The chairs of the Self Aware Learning workshop are Fei-Fei Li (Stanford University) and Thomas G. Dietterich (Oregon State University). This is part of the AI Roadmap workshop series – view the series page here.

Artificial Intelligence Roadmap Workshop 2 – Interaction

/, //Four Seasons Hotel Denver
Given the increasingly pervasive use in AI technologies in all sectors of industry and government, and the enormous potential for future AI-based technologies, NSF has asked the Computing Community Consortium to organize an AI Roadmap to help prioritize research investments. The second workshop theme is interaction and will take place on November 14-15, 2018 in Chicago. The chairs of the interaction workshop are Kathy McKeown (Columbia University) and Dan Weld (University of Washington). This is part of the AI Roadmap workshop series – view the series page here.

Content Generation for Workforce Training

/, //Georgia Tech Hotel and Conference Center
The CCC held a visioning workshop in Atlanta, GA in March 2019 to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop's goal was to articulate research challenges and needs and to summarize the current state of the practice in this area.