Utilizing Data Science for Social Good and Interdisciplinary Research (feat. Sarah Stone)

Access the full transcript for this episode“An emphasis that we really put on the work that the students are doing is to think about the ethical landscape in which the work is taking place…how to do that work responsibly and to do what is actually going to be meaningful to the stakeholders versus maybe what's the coolest new technique in machine learning.”In this episode, Sarah Stone, Executive Director of the University of Washington’s eScience Institute, discusses her work with the Data Science for Social Good program, which works with undergraduate and graduate students to create and integrate community-driven projects. She also delves into the work that the eScience Institute employs at the university, spreading data expertise across departments that each department can further customize. Finally, she ends by discussing how her Ph.D. in Oceanography has informed her of the need to train existing researchers across all disciplines.“We need to not just be training students; we need to be training the existing faculty and existing researchers, and recognizing that a lot of this training hasn't been part of the history of those fields, so meeting people where they're at in order to be able to do that.” This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceeducation.substack.com