Data Science Across Disciplines
Join midd.data for a Lightning Talk on Thursday, 5/4 from 12:45-1:45 PM ET in Lib 105 and on Zoom. Panel speakers include David Allen (Biology), Jessica L’Roe (Geography), Amy Yuen (Political Science), Genie Giaimo (Writing & Rhetoric), and Gyula Zsombok (French/Linguistics).
Register for the in-person lunch or to receive the Zoom link.
This past J-term five faculty colleagues from Biology, Geography, Political Science, Writing & Rhetoric, and Linguistics taught a course providing traditional introduction to data science with immersive project-based applications across four disciplines. Students with no prior data science experience spent their mornings learning how to use the statistical software package R to wrangle and extract meaning from data, and their afternoons applying these skills to research projects on topics ranging from human-environment relationships around protected areas to analyzing twitter data to survey data of Middlebury students’ academic confidence to what predicts conflict events between nations.
Join the faculty and students from this course to hear about their experiences and findings, and to discuss broader implications for providing all students equitable and inspiring access to data and digital tools.