Driving the Research Agenda: TDAI Communities of Practice
Foundations of Data Science & AI
A community centered around the theoretical and algorithmic foundation of data science and AI, building connections to the broader data science community in a radial manner.
Responsible Data Science
Bringing together researchers from many fields to conduct collaborative research on data science’s negative externalities and the mechanisms by which society can reduce these harms.
Sensing-Driven Collaborative Science
Convening technologists, domain specialists and stakeholder to translate data science and engineering into solutions for smart campuses, cities and communities.
Computational Social Sciences
Using computational techniques and big data to address concerns related to human behavior, or to gain insights into basic social processes that cannot be identified with conventional methods.
Computational Health and Life Sciences
Building research teams with data scientists and experts from domain areas to develop big-data analytics that have translational value in health care and life sciences.
