An Expertise-Based AI System to Match Researchers to Funding Opportunities

Case ID:
UA26-213
Invention:

This invention is a software system that matches researchers to funding opportunities using AI. This involves a structured profile of researcher expertise and a large language model to ingest grant opportunity data. This system runs as a web service, stores researcher profiles and requires no manual curation of grant funding opportunities. It also delivers personalized ranked alerts to registered researchers.

Background: 
Researching and applying for grant funding can be a time-consuming process with intense competition for opportunities. Finding relevant opportunities that researchers meet requirements for, preparing detailed applications, and tracking data for compliance requires significant time and staff resources. Using AI to match researchers with prospective grant funding can help identify relevant opportunities faster, enabling a less manual process to fund research opportunities. 

Applications: 

  • AI research funding 
  • Research funding matching
  • AI grant matching 


Advantages: 

  • More effective research funding matching
  • Matching based on researcher expertise
  • Reduced cognitive burden of monitoring grant funding sources
  • Increased awareness and access to opportunities outside of typical sources
  • Personalized ranked alerts
Patent Information:
Contact For More Information:
Lyndsay Troyer
Licensing Associate, Software & Copyright
The University of Arizona
LyndsayT@arizona.edu
Lead Inventor(s):
Ryan Gutenkunst
Keywords: