The Data Science Institute at the University of Virginia continues to build a robust research program through its faculty and students.
Our research endeavors include many fields of study, including:
- Effective use of cloud computing
- Model-based inference
- Predictive modeling
- Unusual and anomalous behavior in data
- Geometry and topology of data
- Indexing, labeling and retrieval, and query engines
- Large-scale optimization
- Machine learning
- Network and graph theory
- Privacy and security
- Monitoring and analytics
- Economics, governance and ethics
- Controlled vocabularies
- Data mining
Much of the fundamental science surrounding these areas occurs elsewhere at UVA, and thus research at the DSI focuses on the application of these fundamentals across many domains.
Research for academia and the real world
On Grounds, the work of the Presidential Fellows is evidence of our research partnerships, as the program brings together graduate students and their mentors from disparate disciplines.
Beyond UVA, our research creates collaborations between public and private sectors to conduct innovative research. The capstone projects of our MSDS students are one example of this far-reaching work. As the DSI continues to hire faculty in these research areas, these programs will expand.
Research success is experienced in both the academic and real-world arenas. Academically, the DSI contributes to the mission of open literature, open data and open analytics. In the real world, we open innovation for use by a global community.