We’re an academic data-mining project at Columbia and Stanford that’s building the first empirical snapshot of what’s being taught in college classrooms. How does this vary across schools, departments, disciplines, and regions? How have things changed over time? How can this information be applied to curriculum development, education policy, and lifelong learning? The beta version of the platform launched in January, and has been covered in The New York Times, The Washington Post, Time, The Chronicle of Higher Education, Der Spiegel, Business Insider, Lifehacker, FiveThirtyEight, EdSurge, and elsewhere.
- Build a clean, extensible, and testable application architecture in React and Redux.
- Expand the main text ranking interface with more filters and facets, drawing on the rich metadata under the hood.
- Build home pages for institutions, authors, and fields that give a bird’s-eye view of the kinds of books and articles that are being assigned under each of these headings, and how they compare to each other.
- Conceptualize and build a series of more advanced data visualization “labs” that dig into specific aspects of the data – the gender ratios of authors assigned in different institutions and fields, geographic patterns in text assignments, interactive views of the disciplinary network structure, etc.
- Salary: Competitive
- Commitment: Contract – 15-20 hours a week for 3-4 months
- Location: Remote (team based in SF and NY)
If interested, please send an email and CV to firstname.lastname@example.org.