2021
Winner

Abstract: Facilitate the Matching of Faculty and Students for Research Projects

Presenter: Daniel Koerner

Research Category: Social Sciences, Business, and Law
College: College of Science
Major(s): Economics, Environmental Studies
Student Type: Undergraduate
Graduation Date: 2021
Additional Authors: Katharine McGuire, Kaitlyn Cavallaro, Julia Geller
Award Winner Category: Platform Economy

As part of a project in HONR 3310 – Enabling The Sharing Economy, our team has designed a platform titled Abstract that efficiently connects students with professors in search of research assistants. Through the platform, Professors will be able to easily post their current research projects and provide detailed information about the desired skills and characteristics they are searching for in potential candidates. Students can in turn create profiles highlighting their academic and professional experiences, coursework, research interests, etc. This platform is designed with the resource constraints of faculty in mind, and allows them to be able to filter and sort through students – eventually ‘waving’ at those students that they would be interested in working with. Students will then be notified of the ‘wave’ and have the responsibility to contact the professor and apply for the position. Future iterations of this platform will allow Universities to opt-in to a broader network of institutions, allowing professors to work with students from other universities and vice versa. Universities, who will be our primary customers, often pride themselves on extensive student participation in research and use such statistics and the results of these research projects to bolster their public image. By gaining access to our platform, universities will be harnessing a more robust research-support framework to assist faculty in finding assistants and students in finding attractive projects. The goal of the platform is to foster a dynamic research environment for client universities through the efficient matching of faculty and student research teams.

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