Open Knowledge Networks

Funding Agency:

  • National Science Foundation
RFP# and Website: 
NSF 22-017
Description: 

Knowledge graphs constitute a powerful approach for organizing, representing, integrating, and accessing data and information from multiple structured and unstructured sources. Large-scale knowledge graphs are now employed at enterprise scales by the private sector. The success of such proprietary knowledge networks offers the potential for open knowledge networks (OKNs) that can support broad public use cases and can be shared in a manner that is secure and preserves privacy. In other words, tools and knowledge bases that would be freely available could reasonably address a broad set of challenges of national importance, spanning science, engineering, health, and commerce. Indeed, the recently‒released report from the National Security Commission on AI stated, "Open knowledge networks (or repositories) with massive amounts of world knowledge could fuel the next wave of [artificial intelligence] exploration, driving innovations from scientific research to the commercial sector."

With this Dear Colleague Letter (DCL), NSF invites principal investigators (PIs) to submit proposals that contribute to OKN research and practice. Proposals can be submitted to core programs as Small projects within the Directorate for Computer and Information Science and Engineering (CISE). This spans the following divisions and programs: Computing and Communication Foundations (CCF) and Information and Intelligent Systems (IIS) divisions and the Office of Advanced Cyberinfrastructure (OAC), as well as the Secure and Trustworthy Cyberspace (SaTC) program.

Awards: 

Various 

Letter of Intent: 
Not required
Full Proposal Submission Deadline: 

April 15, 2022

Contacts: