[PAST EVENT] Scholarship on Display: Data Science Opening Reception

May 6, 2024
4pm - 5pm
Location
Swem Library, Swem Lobby
400 Landrum Dr
Williamsburg, VA 23185Map this location
Access & Features
  • Free food
  • Open to the public

Scholarship on Display is a rotating exhibit series showcasing faculty work from academic departments and programs at William & Mary. This installment, located in Swem Library's lobby, features publications and research from faculty members in the Data Science program. 

The William & Mary Data Science program consists of 11 faculty members whose research covers a broad range of area strengths: Data and Society, Large Scale Experiments, Patterns of Information Dissemination, Data and Location, and Public Health. The faculty within Data Science are funded by the National Science Foundation, the Departments of Education, Energy, and Homeland Security, as well as various foundations. Data Science nurtures a research-oriented environment, mentoring students with work on a variety of applications, including social media analysis, biology, physics, and environmental applications through the work of various research labs. Data Science students work within several faculty-led research labs across disciplines, including the Social Networks and Political Psychology (SNaPP) Lab, the Computational & Experimental Linguistics Lab (CELL), Saha Lab, Geospatial Evaluation & Observation Lab (geoLab), Applied Conservation & Ecological Research (ACER), Computational Biology Laboratory (CBL), Initiative for Computational Society and Security Research, and Zeta Lab. Data Science advances computing and liberal arts and science education. Looking towards the future, Data Science will further its strong collaborations with Computer Science, Applied Science, and Physics with the opening of the New School of Computing, Data and Physics.

This exhibit highlights the dynamic and multi-faceted research and scholarship of the program's faculty. 


Sponsored by: W&M Libraries

Contact

Mary Oberlies at [[w|mkoberlies]]