OSP FO# 11-167

AGENCY: National Science Foundation (NSF)/Directorate for Computer & Information Science & Engineering (CISE)/Division of Information and Intelligent Systems (ISS)

PROGRAM: Information and Intelligent Systems (IIS): Core Programs

OBJECTIVES: This program provides funding to support research and education activities that: (1) develop new knowledge about the role of people in the design and use of information technology; (2) increase our capability to create, manage, and understand data and information in circumstances ranging from personal computers to globally-distributed systems; and (3) advance our understanding of how computational systems can exhibit the hallmarks of intelligence. IIS supports three core programs as described below:

Human Centered Computing (HCC) – This program supports research that explores creative ideas, novel theories, and innovative technologies that advance our understanding of the complex and increasingly coupled relationships between people and computing. HCC research targets diverse computing platforms such as traditional computers, handheld and mobile devices, robots, and wearable computers, at scales ranging from an individual device with a single user to large, evolving, heterogeneous socio-technical systems that are emerging from the increasingly pervasive availability of networking technologies. The HCC program encourages research on how humans perceive computing artifacts as they design and use them, and on the wider social implications of those artifacts. HCC supports scholars in a highly diverse range of disciplines including the behavioral, computer, design, digital humanities, information, and social sciences.

Information Integration and Informatics (III) – This program supports research to realize the full transformative potential of data, information and knowledge in this increasingly digital and interconnected world. Projects could address data of unprecedented scale, complexity, and rate of acquisition, as well as issues of heterogeneous and complex data types and representations. III-funded projects should address contemporary applications of societal importance through advances in information integration and informatics. Projects may deal with one or more facets of the full knowledge lifecycle, which include acquisition, storage and preservation, use and re-use of data, information, and knowledge for decision-making and action.

Robust Intelligence (RI) – This program encompasses all aspects of the computational understanding and modeling of intelligence in complex, realistic contexts. In contrast to systems that use limited reasoning strategies or address problems in narrow contexts, robust intelligence may be characterized by a system’s flexibility, resourcefulness, creativity, real-time responsiveness and long-term reflection , use of a variety of modeling or reasoning approaches, ability to learn and adapt performance at a level of intelligence seen in humans and animals, and awareness of and competence in larger natural, built, and social contexts. The RI program advances and integrates the research traditions of artificial intelligence, computer vision, human language research, robotics, machine learning, computational neuroscience, cognitive science, and related areas. Researchers across all areas of RI are addressing progressively richer environments, larger-scale data and more diverse computing platforms, and more sophisticated computational and statistical approaches, looking to nature in many cases to model cognitive and computational processes. The program supports projects that will advance the frontiers of all RI research areas, as well as those that integrate different aspects of these fields.

Proposers are invited to submit proposals in three project classes, which are defined as follows: Small, Medium, and Large. Small Projects are well suited to one or two investigators (PI and one co-PI or other Senior Personnel) and at least one student and/or postdoc. Medium Projects are well suited to one or more investigators (PI, co-PI and/or other Senior Personnel) and several students and/or postdocs. Large Projects are well suited to two or more investigators (PI, co-PI(s), or other Senior Personnel), and a team of students and/or postdocs.

Medium and Large project descriptions must be comprehensive and well-integrated, and should make a convincing case that the collaborative contributions of the project team will be greater than the sum of each of their individual contributions. Rationale must be provided to explain why a budget of this size is required to carry out the proposed work. Since the success of collaborative research efforts are known to depend on thoughtful coordination mechanisms that regularly bring together the various participants of the project, a Collaboration Plan is required for all Medium and Large proposals.

Please see the program announcement below for further program details.

ELIGIBILITY RESTRICTIONS: In any contiguous September through December period, an individual may participate as PI, Co-PI or Senior Personnel in no more than two proposals submitted in response to the coordinated solicitation (where coordinated solicitation is defined to include the Computer and Network Systems [CNS]: Core Programs, the Information and Intelligent Systems [IIS]: Core Programs and the Computing and Communication Foundations [CCF]: Core Programs solicitations). No exceptions will be made.

Medium Projects
September 15, 2011–September 30, 2011
Large Projects
November 1, 2011-November 28, 2011
Small Projects:
December 1, 2011-December 19, 2011

FUNDING INFORMATION: The NSF anticipates making up to 200 awards with a total budget of $100 million per year. Small Projects have total budgets up to $500,000 for durations of up to three years. Medium Projects have total budgets ranging from $500,001 to $1.2 million for durations up to four years. Large Projects have total budgets ranging from $1,200,001 to $3 million for durations of up to five years.

William S. Bainbridge
Point of Contact, Human-Centered Computing (HCC)
4201 Wilson Boulevard, Room 1125
Arlington, Virginia 22230
Telephone: (703) 292-8930
Fax: (703) 292-9073
Email: wbainbri@nsf.gov
Web: http://www.nsf.gov/pubs/2011/nsf11556/nsf11556.htm

REMARKS: Applications must be submitted electronically using either the NSF FastLane system or Grants.gov. Collaborative proposals must be submitted via FastLane. For more information about FastLane, or to register as a FastLane user, please contact India Adams (adamsi@bu.edu) or A. B. Effgen (abeffgen@bu.edu)in the Office of Sponsored Programs (OSP) at x3-4365. Information about Grants.gov for BU Investigators can be obtained on the OSP web site at: http://www.bu.edu/osp/proposal-preparation/electronic-submission/. In addition, for investigators interested in submitting proposals via Grants.gov, NSF has published the NSF Grants.gov Application Guide which may be found online at: http://www.nsf.gov/bfa/dias/policy/docs/grantsgovguide.pdf. Investigators should contact the OSP Assistant Director assigned to their school or department as soon as possible to coordinate submission through either FastLane or Grants.gov.

Complete program guidelines and application material (NSF 11-556 and NSF GPG 11-1) may be obtained from the web site listed above or from the Office of Sponsored Programs (OSP). Please distribute this notice to any faculty or staff members who might be interested in the information. For more information, please contact the OSP at X3-4365 or ospinfo@bu.edu, or visit the OSP web site at http://www.bu.edu/osp.