2022/01/13 by Biplav Srivastava, Srivastava, Biplav, Tarmo Koppel +8
Business, Management and Accounting · Decision Sciences · Psychology · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Scientific Computing and Data Management #Team Dynamics and Performance
paper · pdf · doi:10.48550/arxiv.2201.05646
openalex publication_date 2022/01/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We introduce an emerging AI-based approach and prototype system for assisting team formation when researchers respond to calls for proposals from funding agencies. This is an instance of the general problem of building teams when demand opportunities come periodically and potential members may vary over time. The novelties of our approach are that we: (a) extract technical skills needed about researchers and calls from multiple data sources and normalize them using Natural Language Processing (NLP) techniques, (b) build a prototype solution based on matching and teaming based on constraints, (c) describe initial feedback about system from researchers at a University to deploy, and (d) create and publish a dataset that others can use.