Team Formation: Algorithms and Practical Applications

SPRING 2018 RESEARCH INCUBATION AWARDEES

Pl: Evimaria Terzi, Computer Science, CAS
Co-Pl: Ziba Cranmer, Spark!

The project aims to close the loop between the theory and practice of team-formation by developing the necessary computational concepts and eventual software that will enable the application of the team-recommendation algorithms to a variety of educational scenarios. Doing so will then make it possible to propose and analyze new team- formation paradigms that will allow for the combination of team-formation with crowdsourcing. The software tools developed will enable formation of teams in various student activities (e.g., hackathons and student projects) in such a way so that the team composition will address issues of inclusion and retention among under-represented minorities in the field of computer science and engineering.

This work is funded by a Research Incubation Award made in January, 2018.