Located in beautiful, historic Providence, our work unifies under themes of design, learning, and languages. We build languages, analyze them, and take them apart. We create environments and other tools for working with them, as well as books for understanding them. If you want to learn more or join us,get in touch
Pyret is the main language we're currently working on. We combine the best of functional and scripting languages to create an outstanding language for teaching and, down the road, general-purpose programming. Pyret is an umbrella for several efforts in compilation, type systems, error-reporting, language design, and much more.
Forge is a new tool and collection of languages for formal modeling. Forge is heavily inspired by Alloy, but offers its own opinionated take on modeling, analysis, and verification.
Bootstrap is our outreach program for middle- and high-school computing. We work in schools across the US and in several other countries. Our curricula teach algebra, data science, and physics in addition to computing, and are embedded into courses in several subjects, enabling us to achieve our three goals of equity, rigor, and scale.
We have six faculty members (Shriram Krishnamurthi, Kathi Fisler, Rob Lewis, Tim Nelson, Nikos Vasilakis, Milda Zizyte), two post-docs (Tristan Dyer, Ben Greenman), four PhD students (Jack Wrenn, Yanyan Ren, Kuang-Chen Lu, Elijah Rivera), several undergraduates, and a research programmer (Dorai Sitaram). We also collaborate with several faculty at other universities (most notably, Dan Dougherty, Ben Lerner, Joe Politz, Matthias Felleisen) and with Bootstrap's Emmanuel Schanzer.
We often blog about our work. Our blog is a convenient, lightweight way to learn about some of our research.
All of our papers are online. They have associated repositories of code, data, proofs, and other artifiacts, as appropriate.
Most of our recent work is in our github repository, although individual papers have their own repositories elsewhere. In general, a paper's page above is the best source for material about that paper.
A Data-Centric Introduction to Computing is a new book that lays out our research-driven approach to learning programming, following our data-centric perspective. Suppporting it requires a lot of the other work described on this page.
Programming Languages: Application and Interpretation is our older book, still in widespread use, focused on programming languages. The first edition and second edition are both still available.