Predicting Perfect Matches Between Organizations

Successful partnerships between non-profit organizations and funders are fundamental for organizations’ abilities to concentrate on their mission, and for founders to see their philanthropic investments align with their values and make real impacts. Matching founders and organizations has traditionally been done informally through personal connections, networks, and expensive prospecting software and databases. Just like a dating app for philanthropic organizations, Orgmatch matches funders and non-profits together based on attribute-based representations. This research project will explore the use of Artificial Intelligence/Machine Learning technologies to perform this matching Non-profit organizations are fundamentals to a healthy society and the philanthropic relationships with the funders sustaining them are essential to their survival. A tool to rapidly and successfully match them would allow both parties to focus on results and real impacts to the community.

Faculty Supervisor:

George Tzanetakis

Student:

Partner:

Orgmatch

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program: