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• A Text Analysis of the 2020 US Presidential Election Campaign Speeches

  Politics

  Society & Culture

• Understanding Public Attitudes Toward COVID-19 with Twitter

  This project aims to study public attitudes toward COVID-19 on Twitter, a popular social network platform.

  Social Media

  Society & Culture

• Forecasting the 2020 Presidential Election: A Comparison of Methods

  Accurate forecasts of U.S. Presidential elections are not only central to political journalism, but are used by campaigns to formulate strategy, impact financial markets, and aid businesses planning for the future.

  Politics

  Society & Culture

• Robustifying Scholia

  The UVA School of Data Science is developing Scholia, a tool based on the Wikipedia platform that aims to make academic research more accessible to scientists, organizations, and the general public.

  Wikipedia

  Science & Technology

• The Creation of Muharjirat in America

  With a grant from the National Institute of Justice, a research team is using machine learning to investigate how women are radicalized online.

  Cybersecurity, Science & Technology, Society & Culture

• Using AI to diagnose disease

  Researchers Aman Shrivastava, Saurav Sengupta, Karan Kant and Luke Kang undertook a capstone project as part of the Master of Science in Data Science program to investigate methods with applicability to automated diagnosis of images obtained from gastrointestinal biopsies.

  Deep Learning / Biology

  Health & Biomedicine

• Connecting citizens with public data to drive policy change

  Connecting citizens with public data to drive policy change

  Science & Technology
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  Siri, translate 劳驾

  Master of Science in Data Science capstone project researchers Vaibhav Sharma, Beni Shpringer, Sung Min Yang, and Martin Bolger, along with Ph.D. students Sodiq Adewole and Erfaneh Gharavi, sought to develop new methods for collecting, generating, and labeling data to aid in the creation of educational, free-input dialogue simulations.

  Artificial Intelligence

  Education, Cybersecurity, Science & Technology

• Improving Credit Card Fraud Detection

  Researchers Navin Kasa, Andrew Dahbura, and Charishma Ravoori undertook a capstone project that addresses credit card fraud detection through a semi-supervised approach, in which clusters of account profiles are created and used for modeling classifiers.

  Machine Learning

  Science & Technology, Cybersecurity

• Deep learning meets biology

  MSDS student project applies data science tools and techniques to understand 3D protein structures

  Biology / Deep Learning

  Health & Biomedicine, Science & Technology