Division of Information & Intelligent Systems
Information and Intelligent Systems:

CONTACTS

PROGRAM GUIDELINES

Solicitation
05-551
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

Archived
SYNOPSIS

NSF’s Division of Information and Intelligent Systems is seeking proposals that describe ambitious research and/or education projects that will extend the state-of-the-art in:
- Collaborative Systems: systems that enable collaboration between a person and either machines or other people in acquiring, representing, organizing, archiving, protecting, accessing and communicating information, and
- Robust Intelligence: systems with robust and flexible intelligence, capable of perceiving, reasoning, learning, and interacting with their environment.
Additionally, the Division is seeking research and/or education proposals that use or extend Collaborative Systems and Robust Intelligence theories or methods and apply them in three application areas:
- Universal Access: to increase access to information and systems by users, such as the vision-impaired or the elderly, whose needs are often not met in traditional systems.
- Digital Government: to improve access to information and services provided by governmental entities; as well as the workings of governments.
- Digital Libraries and Archives: to represent, store and access information from curated digital libraries and archives.
Single or multidisciplinary research and/or education projects will be supported that explore innovative ideas, theories and experiments that move beyond incremental advances to enable fundamentally different intelligent or collaborative systems approaches or paradigms. The development of curricular materials that have the potential to greatly improve higher education in Collaborative Systems and Robust Intelligence and their applications will also be supported. Curriculum development projects may be submitted as stand-alone proposals or may be included as part of broader research and education proposals under the categories above.
THIS PROGRAM IS PART OF

Data, Inference and Understanding Cluster

Abstracts of Recent Awards Made Through This Program
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