Cyber-Social Learning Systems Workshop 3
January 24-25, 2017
Washington, DC
JW Marriott Washington, DC, Pennsylvania Avenue Northwest, Washington, DC, United States
Event Contact
Ann Drobnis
adrobnis@cra.org
Event Type
2017 Events, 2017 Visioning Activities
Event Category
Tags
cybersocial, education, healthcare, human-machine interaction, machine learning
Over the last decade, we have made enormous progress establishing scientific and engineering principles for cyber-physical systems (CPS). We are now on the threshold of a world of physical systems that are deeply computational, dynamic, learning, and connected at all scales, yielding radical improvements in physical systems properties.
The next major frontier in science and engineering research and development is the integration of cyber-physical with human and social systems and phenomena across all major sectors and at all scales. Closing the loop from sensing to performance at all scales will give rise to cyber-social learning systems.
This third and final workshop, in the series of three workshops on cyber-social learning systems, reviewed and refined all series artifacts developed to date and specifically addressed series goal 6 to formulate and communicate a vision of how the NSF, other national, state and municipal agencies, academic and industrial researchers, and industry broadly can form a coalition to advance the science, engineering, design, and impact of cyber-social learning systems.
The workshop further developed the vision and future research agenda of the cyber-social domain, including the development of detailed examples of cyber-social learning systems; the justification of this vision in the challenges faced in several major sectors, including health, education, and communities; and define capabilities that a combined basic and applied research community could demonstrate in 1, 3, and 5 years, with a view to a 10-20 year time frame for national impact. The results of this workshop will strongly influence the form and content of the final report.
This is part of a workshop series – view the series page.
January 23, 2017 (Monday)
06:30 PM | Reception | Congressional Room |
January 24, 2017 (Tuesday)
08:00 AM | Breakfast | Penn Avenue Terrace B |
09:00 AM | Welcome
| Penn Avenue Terrace Lower Level
|
09:45 AM | Presentation: Framing up the Workshop | Penn Avenue Terrace Lower Level |
10:30 AM | BREAK | Penn Avenue Terrace Lower Level |
11:00 AM | Small Groups Round 1: Identify Gaps
| Penn Avenue Terrace A, The Senate Room, and The Congressional Room
|
12:30 PM | Lunch | Penn Avenue Terrace B |
01:30 PM | Cross-Group Feedback Session | Penn Avenue Terrace Lower Level |
02:30 PM | Groups Revise Gaps Based on Feedback | Penn Avenue Terrace A, The Senate Room, and The Congressional Room |
03:30 PM | BREAK | Penn Avenue Terrace Lower Level |
04:00 PM | Group Reports and Discussion | Penn Avenue Terrace Lower Level |
05:15 PM | Closing Session: Preview of Tomorrow | Penn Avenue Terrace Lower Level |
06:30 PM | Reception and Dinner | Penn Avenue Terrace Lower Level |
January 25, 2017 (Wednesday)
07:15 AM | Breakfast | Penn Avenue Terrace B |
08:15 AM | Game Reset: Review of Plan for the Day | Penn Avenue Terrace Lower Level |
08:30 AM | Round 2 of Small Group Deliberations: Approach | Penn Avenue Terrace A, The Senate Room, and The Congressional Room |
10:00 AM | BREAK | Penn Avenue Terrace Lower Level |
10:30 AM | Cross-Group Feedback Session | Penn Avenue Terrace Lower Level |
11:30 AM | Groups Revise Findings in Response to Feedback | Penn Avenue Terrace A, The Senate Room, and The Congressional Room |
12:30 PM | Lunch | Penn Avenue Terrace B |
01:30 PM | Plenary Session | Penn Avenue Terrace Lower Level |
02:45 PM | BREAK | Penn Avenue Terrace Lower Level |
03:00 PM | Open Discussion | Penn Avenue Terrace Lower Level |
04:15 PM | Closing Session | Penn Avenue Terrace Lower Level |
04:45 PM | End of Workshop |
Executive Committee
Kevin Sullivan, University of Virginia Department of Computer Science, co-chair
Charles Friedman, University of Michigan Department of Learning Health Sciences , co-chair
Beth Mynatt, Georgia Institute of Technology College of Computing, CCC liaison
Ann Drobnis, CCC Director
Joshua C. Rubin, University of Michigan
Planning Committee
Elizabeth Churchill, Google
William Rouse, Stevens Institute of Technology School of Systems and Enterprises
Ben Shneiderman, University of Maryland Department of Computer Science
Lori Clarke, University of Massachusetts School of Computer Science
William Griswold, University of California San Diego Department of Computer Science
Deborah Johnson, University of Virginia Department of Science, Technology and Society
Jonathan Silverstein, Joseph H. Kanter Foundation
William Stead, Vanderbilt University Departments of Biomedical Informatics and Medicine
William Scherlis, Carnegie Mellon University Institute for Software Research
Stephanie Teasley, University of Michigan School of Information
This workshop will include the Planning Committee, participants selected from previous workshops based on the perspectives they contributed, targeted industry representatives, and CCC, NSF, NIH, and other government representatives.
The Computing Community Consortium (CCC) will cover travel expenses for all participants who desire it. Participants are asked to make their own travel arrangements to get to the workshop, including purchasing airline tickets. Following the symposium, CCC will circulate a reimbursement form that participants will need to complete and submit, along with copies of receipts for amounts exceeding $75.
In general, standard Federal travel policies apply: CCC will reimburse for non-refundable economy airfare on U.S. Flag carriers; and no alcohol will be covered.
For more information, please see the Guidelines for Participant Reimbursements from CCC.
Additional questions about the reimbursement policy should be directed to Ann Drobnis, CCC Director (adrobnis [at] cra.org).