Statistics and Data Science in Community-Engaged Learning

Data is key today. Businesses, organizations and individuals all have data that they need help analyzing for their own purposes. As a Faculty Fellow in Engaged Scholarship, Sreyoshi Das intends to bring the knowledge of community engagement to statistics and data science students and faculty.

Data science is field-agnostic. Faculty, students and partners can use knowledge and data analytics tools to benefit the broader public when they work on community-oriented projects. Das also thinks more community-oriented work is likely to make statistics and data science more accessible to students and the broader public.

“As a data scientist, I teach students empirical methods that could be applicable to any project to discover underlying patterns in data that could facilitate decision making. I believe there is great potential for faculty and students in SDS to collaborate and contribute meaningfully to projects promoting community engagement.” —Sreyoshi Das