SBIR Phase I: A Community-Building Platform That Uses Machine Learning To Facilitate In-Person Interactions

SBIR Phase I: A Community-Building Platform That Uses Machine Learning To Facilitate In-Person Interactions

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 1845752
Agency Tracking Number: 1845752
Amount: $224,995.00
Phase: Phase I
Program: SBIR
Awards Year: 2019
Solicitation Year: 2018
Solicitation Topic Code: IT
Solicitation Number: N/A
Small Business Information
540 MEMORIAL DR APT 603, CAMBRIDGE, MA, 02139
DUNS: 081205696
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mohammad Ghassemi
 (617) 599-6010
 deskool@gmail.com
Business Contact
 Mohammad Ghassemi
Phone: (617) 599-6010
Email: deskool@gmail.com
Research Institution
N/A
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the reinvention of community wellness programming from a typically qualitative process into an evidence-based procedure. Treating wellness as a science will allow for more efficacious use of wellness budgets (an annual expenditure exceeding $100 Billion), will create a positive social impact within organizations, and by extension, society as a whole. Organizations with effective wellness initiatives have higher employee engagement, improved productivity, and increased profitability. Hence, there is significant opportunity for societal and commercial impact through evidence-based wellness technologies. This Small Business Innovation Research (SBIR) Phase I project involves the theoretical development, and practical deployment, of recommendation algorithms that arrange meetings between groups of people with divergent interests and incentives. Our research objectives are (1) the development of a theoretically grounded recommendation algorithm that accounts for the effects of social dynamics and incentives on behavior, (2) the development of an application to facilitate community wellness through in-person meetings. We anticipate the successful deployment of the platform, the collection of multi-center data for semi-supervised training and prospective evaluation of the developed algorithms. 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.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government