This grant, offered by an Interdisciplinary Programs Department, supports innovative research at the interface of computer science, economics, and social sciences. It recognizes their historical and intellectual ties, from game theory to bounded rationality. This grant is for the purpose of developing robust decision mechanisms for new interactions within socio-technical networks, particularly where parties may lack trust or are software agents. Research should address challenges like fairness, resource allocation, and effective incentive mechanisms in managing systems such as internet traffic or multi-agent environments. The program encourages applying computational thinking to economic and social problems, including characterizing equilibria, studying strategic learning, and understanding network dynamics for systems like recommender or reputation management. Computational economics simulation projects are excluded.
Opportunity ID: 55638
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 10-583 |
| Funding Opportunity Title: | Interface between Computer Science and Economics & Social Sciences |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 30 |
| Assistance Listings: | 47.070 — Computer and Information Science and Engineering |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jul 06, 2010 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | Oct 05, 2010 Full Proposal Deadline(s): October 05, 2010 |
| Current Closing Date for Applications: | Oct 05, 2010 Full Proposal Deadline(s): October 05, 2010 |
| Archive Date: | – |
| Estimated Total Program Funding: | $11,500,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: | *Organization Limit: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities. -Universities and Colleges – Universities and two- and four-year colleges (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Such organizations also are referred to as academic institutions. |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | The histories and intellectual approaches of social and economic science and computer science have been strongly influenced by the crosscurrents among them. Worst-case computational complexity analysis, so prevalent in computer science, is a form of game-theoretic analysis – perhaps not surprising considering that one of the founders of game theory, John von Neumann, was also a pioneering figure in computer science. Game theory is widely used in social and economic science. Social and economic scientists use concepts that are linked to computer science. For example, decision scientists and economists consider the bounded rationality of individuals making economic decisions; one aspect of bounded rationality is that economic agents may be limited by their "computational" resources, for example in evaluating complicated strategic situations. The ubiquity of socio-technical networks has led to new, more intimate ties between these two fields. New kinds of interactions and transactions have been enabled by such networks. Key features of these new transactions include:· parties who do not know or trust each other· parties represented by software agents · real-time adaptation, decision making, and chain reactions by agentsDesigning decision mechanisms that can govern these increasingly important types of transactions in ways that meet criteria such as fairness, revenue maximization, or efficent resource use is a challenge that requires the expertise of both social and economic scientists and computer scientists. Internet traffic (as also physical traffic on our road networks), email, the use of network bandwidth, the allocation of computing resources to competing processes, etc., may be managed using economic and social choice mechanisms to achieve better utilization and reduction of the nuisance and harm caused by intruders and spammers. Good incentive mechanisms are also needed to mediate the interactions among infrastructure providers, service providers, and clients for computing and communication infrastructure. Mechanisms are also important in driving multi-agent software systems towards socially desirable goals. These questions may require a new understanding of simultaneous collaboration and competition among economic agents.Computational thinking has the potential to change the types of questions considered by social and economic scientists. For example, Nash (and other) equilibria lie at the heart of theories about the behavior of economic agents. Computational thinking can help characterize the range and robustness of possible equilibria and markets for which the computation of equilibria is intractable. Theories of strategic learning by computational agents, studied both in economics and computer science, can shed light on the dynamics of how agents arrive at equilibria. Theories of the spread of contagion or gossip in networks can help explain and contain the chain reactions that can arise. Social/behavioral/economic and computer scientists can jointly study the dynamic functioning and evolution of social and economic networks with mutual benefit to both fields of study. Some important examples of such systems are recommender systems, voting systems, and reputation management systems.This program seeks innovative research at this interdisciplinary boundary, including both projects that use computational thinking for economic and social decision problems and/or ideas from economics and other social sciences for computing and communication systems and multi-agents systems. Computational economics research involving simulation and modeling of economic systems is not appropriate for this program. Illustrative examples of the kinds of research this program seeks to support can be found at: http://www.nsf.gov/cise/ccf/ices_pgm.jsp |
| Link to Additional Information: | NSF Publication 10-583 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NSF grants.gov support grantsgovsupport@nsf.gov Email: grantsgovsupport@nsf.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 47.070 | PKG00019632 | Jul 06, 2010 | Oct 05, 2010 | View |
Package 1
Mandatory forms
55638 RR_SF424_1_2-1.2.pdf
55638 PerformanceSite_1_2-1.2.pdf
55638 RR_OtherProjectInfo_1_2-1.2.pdf
55638 RR_KeyPersonExpanded_1_2-1.2.pdf
55638 RR_PersonalData_1_2-1.2.pdf
55638 RR_Budget-1.1.pdf
55638 NSF_CoverPage_1_3-1.3.pdf
Optional forms
55638 RR_SubawardBudget-1.2.pdf
55638 NSF_DeviationAuthorization-1.1.pdf
55638 NSF_SuggestedReviewers-1.1.pdf
55638 NSF_Registration_1_3-1.3.pdf
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