SBIR/STTR Research Award

SBIR Phase I:Validating and Scaling a Financial and Entrepreneurial Aptitude Assessment

Award identifier 1fe70525f8ef26d806b1f090cc7745171bb1f7c35e2569d378b1c5845a39a4d5Awarding agency National Science Foundation

Award amount

$256,000

Program and phase

SBIR · Phase I

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
NuMoola
Proposal award date
2022-09-01
Contract end date
2023-08-31
UEI
HX87B3JAGYZ3
Solicitation number
NSF 21-562
Topic code
LC

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the development of an intelligent and evolving tool that provides a framework to teach financial literacy skills to children. The literacy lessons are implemented at the child’s pace and stage of development. The product seeks to provide a family finance and entrepreneurism platform that combines real money, peer performance feedback, and artificial intelligence (AI)-driven education to teach youth how to responsibly use money and build businesses. By utilizing AI, the project will curate educational content into an immersive digital learning experience that is tailored to the individual regardless of wealth, demographics, or geographic location. Through this innovation, youth may be better positioned for success as they transition to financial independence. This project may also allow academia and industry to work together to validate an individual's financial preparedness and independence.This Small Business Innovation Research (SBIR) Phase I project focusses on designing the principles and mechanics of a user performance feedback mechanism that promotes financial wellness. Financial literacy is important at every stage of life. The Phase I of this project is to develop a performance mechanism and uses deep AI techniques to baseline the goals for data collection and logical data organization, as well as to determine performance measurements and individual learner groupings. These metrics include static data, dynamic data, logical organization of data, calculation methods, and scoring principles. Once optimized, the outcome of the project may encourage individuals to achieve financial stability and success.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.