Driving the Research Agenda: TDAI Communities of Practice

The Translational Data Analytics Institute’s communities of practice convene Ohio State faculty with diverse specialties to collaborate on team science and create translational solutions for complex, socially significant challenges. Led by the institute’s faculty in residence, TDAI’s communities of practice conduct transdisciplinary research; identify and pursue funding and publishing opportunities that advance their research agenda; and forge partnerships with industry and community organizations that are similarly committed to contributing to the greater good.

Interested in joining a Translational Data Analytics Institute community of practice?

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.

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.

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

Smart & Connected Communities and Distributed Sensing

Convening technologists, domain specialists and stakeholder to translate data science and engineering into solutions for smart campuses, cities and communities.