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NSF Awards for Convergence Accelerators

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Thursday, September 12, 2019

The National Science Foundation has announced the first set of awards through its Convergence Accelerator Pilot. The Convergence Accelerator is a new capability within NSF to accelerate use-inspired, convergence research in areas of national importance that supports two of the Big Ideas and seeks to engage partnerships – notably public-private partnerships. The initial set of pilot awards are focused on two of the Big Ideas: Harnessing the Data Revolution (Track A) and Future of Work at the Human-Technology Frontier (Track B). A total of 43 new awards in both tracks, totaling $39 million, will support projects across the country that will find new ways to apply Big Data to science and engineering and create technologies that can enhance the lives of American workers.

Among the awardees are UVA Economics Professor Denis Nekipelov and his co-investigator Professor Yiqing Wang. Their project, Unpacking the Technology Career Path, will comprise research and engineering effort to build an Artificial Intelligence (AI) tool for career management, targeted to help high-tech talent in STEM fields by transforming information into quantifiable data that can be analyzed and used directly in an econometric model. The goal is to characterize the long-term impact of career choices in conjunction with individual characteristics such as education, previous job experience, training, personal goals, career interests, and other components and to provide insights into the market value of various career choices. The final deliverable of the project is a web application, with an embedded econometric model, that is intended to be used by job candidates in technical fields.

To view a listing of the awards, please see the following links: