Opportunity Information: Apply for 10 583
Apply for 10 583
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Interface between Computer Science and Economics Social Sciences" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.070 Computer and Information Science and Engineering 47.075 Social, Behavioral, and Economic Sciences.
- This funding opportunity was created on Jul 6, 2010 and posted on Jul 6, 2010.
- Applicants must submit their applications by Oct 5, 2010 Full Proposal Deadline(s) October 05, 2010. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $11,500,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 30 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
- 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.
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Opportunity Summary:
The National Science Foundation (NSF) grant opportunity titled "Interface between Computer Science and Economics - Social Sciences" (NSF 10-583) supports research that sits at the intersection of computer science and the social, behavioral, and economic sciences. The core idea behind the program is that these fields have long shaped each other, especially through shared tools like game theory, decision theory, and the study of bounded rationality. NSF is looking for work that genuinely blends perspectives: computer scientists bringing computational thinking to economic and social decision problems, and social/economic scientists bringing theories of incentives, strategic behavior, and institutions to the design and analysis of computing and communication systems.
A major motivation for the program is the rise of socio-technical networks and digitally mediated markets where interactions are increasingly automated and fast-moving. In these environments, transactions often involve parties who may not know or trust each other, participants may be represented by software agents rather than humans directly, and decisions may adapt in real time with cascading effects across networks. NSF frames this as a mechanism design and incentives challenge: how to design rules, protocols, and decision mechanisms that produce outcomes that are fair, efficient, robust, or revenue-maximizing, depending on the setting. The opportunity highlights practical domains where this matters, including network and road traffic management, email and spam mitigation, bandwidth allocation, and distributing computing resources among competing processes. It also points to the need for incentive-compatible arrangements among infrastructure providers, service providers, and end users, as well as mechanisms that steer multi-agent systems toward socially desirable outcomes even when agents have their own competing goals.
On the scientific side, the program emphasizes that computational constraints are not just an engineering detail; they can fundamentally change what social and economic theory predicts. Economists often rely on equilibrium concepts like Nash equilibrium, but NSF is interested in research that asks when equilibria are computationally hard to find, how robust they are under realistic informational and computational limits, and what happens when agents learn or adapt strategically over time using computational methods. Related topics include the dynamics of diffusion in networks (for example, contagion, rumor, or "gossip" spread) and how chain reactions emerge and can be controlled. The solicitation also names applied socio-technical systems where these questions naturally arise, such as recommender systems, voting systems, and reputation management systems, all of which blend strategic behavior with algorithmic design.
In terms of fit, NSF is clear that the program is not meant for computational economics in the sense of simulation-and-modeling of economic systems. Instead, it targets research contributions that advance understanding and design at the interface: algorithmic mechanism design, computational game theory, social choice with computational constraints, incentive-centered networking and security approaches, learning in games and markets, and the study of evolving networked systems where computation and strategic behavior are tightly coupled.
Administratively, this was a discretionary NSF grant program with an estimated total funding level of $11.5 million and an expectation of about 30 awards. It carried CFDA numbers 47.070 (Computer and Information Science and Engineering) and 47.075 (Social, Behavioral, and Economic Sciences). There was no cost-sharing requirement. Eligible applicants included accredited U.S. universities and colleges (including two-year and community colleges) acting on behalf of their faculty, as well as U.S.-based non-profit, non-academic research and education organizations such as independent museums, observatories, research labs, and professional societies. The posting date was July 6, 2010, with a full proposal deadline of October 5, 2010.
Frequently Asked Questions (FAQs)
What is the title of this NSF funding opportunity?
The opportunity is titled "Interface between Computer Science and Economics - Social Sciences" (NSF 10-583).
What is the main purpose of this program?
The program supports research at the intersection of computer science and the social, behavioral, and economic sciences, with an emphasis on projects that genuinely blend perspectives from both areas.
What kinds of research does NSF want to fund through this program?
NSF is looking for work that integrates computational thinking with theories of incentives, strategic behavior, and institutions. The goal is to advance understanding and design of computing and communication systems in settings where social and economic behavior matters.
What does NSF mean by research at the "interface" of computer science and economics/social science?
It means the project should reflect a real combination of approaches: computer scientists applying algorithmic and computational ideas to social and economic decision problems, and social/economic scientists applying incentive and strategic reasoning to the design and analysis of computational systems.
Why is NSF emphasizing socio-technical networks and digitally mediated markets?
Because many modern interactions are automated and fast-moving, often involving participants who do not know or trust each other and may be represented by software agents. NSF highlights these settings as creating new challenges for mechanism design, incentives, and system rules.
What types of challenges or questions is NSF highlighting in these environments?
NSF frames these as mechanism design and incentives challenges: how to design rules, protocols, and decision mechanisms that yield outcomes that are fair, efficient, robust, or revenue-maximizing (depending on the context), even when participants have competing goals.
What are examples of practical application domains mentioned in the solicitation?
The opportunity mentions network and road traffic management, email and spam mitigation, bandwidth allocation, and distributing computing resources among competing processes.
Does the program address incentives among different stakeholders in infrastructure and services?
Yes. It points to the need for incentive-compatible arrangements among infrastructure providers, service providers, and end users.
How does the program treat computational constraints in economic and social theory?
It emphasizes that computational constraints are not merely engineering details; they can change what theory predicts. NSF is interested in how limited computation and information affect equilibria and strategic outcomes.
Is NSF interested in equilibrium concepts like Nash equilibrium?
Yes, but with an interface focus. NSF highlights questions such as when equilibria are computationally hard to find, how robust they are under realistic information and computation limits, and what happens when agents learn or adapt strategically over time using computational methods.
Does the program include research on learning and adaptation in strategic settings?
Yes. The solicitation explicitly mentions interest in what happens when agents learn or adapt strategically over time using computational methods, especially in markets and multi-agent environments.
Is research on diffusion and cascading behavior in networks relevant here?
Yes. The program references the dynamics of diffusion in networks (such as contagion, rumor, or "gossip" spread) and how chain reactions emerge and can be controlled.
What socio-technical systems are named as examples where these issues arise?
Examples mentioned include recommender systems, voting systems, and reputation management systems, where algorithmic design and strategic behavior interact.
What kinds of research areas are explicitly aligned with this program?
Aligned areas include algorithmic mechanism design, computational game theory, social choice with computational constraints, incentive-centered approaches to networking and security, learning in games and markets, and the study of evolving networked systems where computation and strategic behavior are tightly coupled.
What is explicitly not the focus of this program?
NSF states the program is not intended for computational economics in the sense of simulation-and-modeling of economic systems.
How much total funding was estimated for this program?
The estimated total funding level was $11.5 million.
About how many awards did NSF expect to make?
The program expected to make about 30 awards.
Which CFDA numbers are associated with this opportunity?
The CFDA numbers listed are 47.070 (Computer and Information Science and Engineering) and 47.075 (Social, Behavioral, and Economic Sciences).
Was cost sharing required?
No. The solicitation stated there was no cost-sharing requirement.
Who was eligible to apply?
Eligible applicants included accredited U.S. universities and colleges (including two-year and community colleges) applying on behalf of their faculty, as well as U.S.-based non-profit, non-academic research and education organizations such as independent museums, observatories, research labs, and professional societies.
When was the opportunity posted?
The posting date was July 6, 2010.
What was the full proposal deadline?
The full proposal deadline was October 5, 2010.
Is this described as a discretionary NSF program?
Yes. The solicitation describes it as a discretionary NSF grant program.
What is the program's overall theme in one sentence?
It supports research that links incentives, strategic behavior, and institutions with the algorithmic and computational design of systems, especially in modern networked and automated environments.
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