Overview:
We study the landscape of product innovation in the pharmaceutical sector (drugs and medical devices) that is heavily regulated by the Food and Drug Administration (FDA). The non-traditional data sources include publicly available opportunity and administrative data such as drug approvals and listings as well as news articles obtained from Dow Jones, a business news and data provider. We implement natural language processing methods and fuzzy matching techniques to identify innovators and use our findings to study how innovators might participate in the product development pipeline as reflected by these novel data sources.
Teaser Video:
Research Project Webpage:
Click here for more details about the project including findings, data, and methods.
Fellows:
Susweta Ray
University of Nebraska-Lincoln, PhD in Agricultural Economics, Statistics
Interns:
Isabel Gomez
Smith College, Statistical and Data Science
Ian MacLeod
The University of Mary Washington, Computer Science
Mentors:
Gizem Korkmaz
Research Associate Professor, Biocomplexity Institute, University of Virginia
Devika Mahoney-Nair
Research Scientist, Biocomplexity Institute, University of Virginia
Neil Alexander Kattampallil
Research Scientist, Biocomplexity Institute, University of Virginia