Focus on Education + Data Literacy


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The objective of this focus area is to work with the community to guide the development and dissemination of data science approaches and resources for education across the community, from PreK-12 to higher education and industry, with the goal to improve data literacy and educational outcomes. This includes:

1. Amplifying the success and reach of data science education and data literacy activities, from virtual and in-person workshops to Massive Open Online Courses (MOOCs), to empower educators and researchers to improve data science practices and reach a broad community

2. Enabling community and educational institutions across the region to deliver data science education to underserved constituencies, extending the success of the Data Science for All workshops, and perhaps adding domain-specific data science and data carpentry workshops

3. Increasing community collaboration to leverage the Big Data for Education spoke best practices, including innovations in intelligent tutor pedagogy, and collaborative analyses of Big Data for Education MOOC data


Current Projects

Northeast Student Data Corps

Data Science For All

NSF BD Spoke Award: Grand Challenges for Data-Driven Education

Building Capacity with the Carpentries – coming soon!

Data Science Resource Repository

Submit your project here


Success Stories

Thinking Beyond the Ordinary: Unconventional Approaches to Success and Utilizing Data Science for Good

Data science has become relevant across all disciplines in areas of STEM from healthcare to environmental studies and cybersecurity, to the humanities and social sciences in areas like criminal justice, ethics, and economics. Now more than ever it is imperative that we work towards developing valuable insights from data science that can enable more informed […]

Northeast Student Data Corps: Inaugural Data Science Career Panel

On February 19th, 2021, 280+ students, educators and data science enthusiasts gathered for the Northeast Student Data Corps (NSDC)’s Inaugural Data Science Career Panel, where an esteemed panel of invited speakers shared their experiences and advised the attendees on potential opportunities in Data Science. The session also saw the launch of the Learner Central and […]

Data Visualization Beyond the Screen

Guest post by Dr. Sara Stoudt, Lecturer in Statistical and Data Sciences Program, Smith College We’ve all been acutely aware of screens lately; we cannot seem to escape them. As statisticians and data scientists we’re stereotypically buried in our spreadsheets and charts anyway, but who do we exclude when communicating with data on a screen, […]