Social-Computational Systems
(SoCS)
CONTACTS
| Name |
Email |
Phone |
Room |
|
Amy
L.
Baylor |
abaylor@nsf.gov |
(703) 292-8930 |
1125 |
|
David
McDonald |
dmcdonal@nsf.gov |
(703) 292-8074 |
1125 |
|
Vincent
R.
Brown |
vrbrown@nsf.gov |
(703) 292-7305 |
995 |
|
Frederick
M.
Kronz |
fkronz@nsf.gov |
(703) 292-7283 |
995 |
In addition to the Program Officers identified above, the following Program Officers will also support the SoCS program: Directorate for Computer and Information Science and Engineering - Bill Bainbridge, (703) 292-8930, wbainbri@nsf.gov, Room 1125
- Doug Fisher, (703) 292-8930, dhfisher@nsf.gov, Room 1125
- Sol Greenspan, (703) 292-8910, sgreensp@nsf.gov, Room 1108
- Tanya Korelsky, (703) 292-8930, tkorelsk@nsf.gov, Room 1125
Directorate for Social, Behavioral and Economic Sciences |
PROGRAM GUIDELINES
Solicitation
09-559
Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes
revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA)
(Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests
funding to support postdoctoral researchers must include a description of the mentoring
activities that will be provided for such individuals. Proposals that do not comply
with this requirement will be returned without review (see the PAPP Guide Part I:
Grant Proposal Guide Chapter II for further information about the implementation of
this new requirement).
DUE DATES
Full Proposal Deadline Date: September 21, 2009
SYNOPSIS
The Social-Computational Systems (SoCS) program seeks to reveal new understanding about the properties that systems of people and computers together possess, and to develop a practical understanding of the purposeful design of systems to facilitate socially intelligent computing. By better characterizing, understanding, and eventually designing for desired behaviors arising from computationally mediated groups of people at all scales, new forms of knowledge creation, new models of computation, new forms of culture, and new types of interaction will result. Further, the investigation of such systems and their emergent behaviors and desired properties will inform the design of future systems. The SoCS program will support research in socially intelligent computing arising from human-computer partnerships that range in scale from a single person and computer to an Internet-scale array of machines and people. The program seeks to create new knowledge about the capabilities these partnerships can demonstrate - new affordances and new emergent behaviors, as well as unanticipated consequences and fundamental limits. The program also seeks to foster new ideas that support even greater capabilities for socially intelligent computing, such as the design and development of systems reflecting explicit knowledge about people's cognitive and social abilities, new models of collective, social, and participatory computing, and new algorithms that leverage the specific abilities of massive numbers of human participants. The SoCS program seeks to capitalize upon the collaborative knowledge and research methods of investigators in the computational and human sciences, recognizing that researchers in computer science and related disciplines often focus on the limits and capabilities of computation in isolation from the people that use computation, while researchers in the social sciences often focus on the use of technology or the capabilities of people with limited impact on how such knowledge can influence the design of new technologies. Proposals that reflect collaborative efforts spanning computational and human centered approaches and perspectives are specifically encouraged.
THIS PROGRAM IS PART OF
Additional Funding Opportunities for the CCF Community
Additional Funding Opportunities for the CNS Community
Additional Funding Opportunities for the IIS Community
Abstracts of Recent Awards Made Through This Program
|
