We are pleased to release the first of our annual reports, describing the work done by the Brown Institute over the previous year. This is essentially an adaptation of a
CategoryProject Updates
Brown Institute Fellow makes new Bedfellows
Nikolas Iubel, Brown Institute Fellow for 2013-2014 and graduate of the Dual Degree program between Journalism and Computer Science at Columbia University, is currently an intern with The New York Times’ interactive
Institute members get crash course in Design Thinking
Stanford Assistant Professor of Computer Science, Michael Bernstein, led Magic Grant teams in a Design Thinking-style “Crash Course” at the Brown Institute’s second All Hands meeting of 2014, December 2
Synapp/Widescope receives Notable Paper Award at HCOMP 2014
David Lee, Ashish Goel, Tanja Aitamurto and Hélène Landemore’s paper, “Crowdsourcing for Participatory Democracies: Efficient Elicitation of Social Choice Functions,” received a Notable Paper Award at HCOMP 2014, the second Association for
Cannabis Wire at Demo Day
The Cannabis Wire Magic Grant team, Alyson Martin and Nushin Rashidian, were selected as one of five projects to pitch at the New York Media Center’s Demo Day. Alyson and
Stanford Magic Grant Team Earns City Recognition
The Magic Grant team Crowdsourced Democracy Team at Stanford was recognized on Oct. 15 by the City of Vallejo, Calif., for a digital voting system and their work on crowd
Magic Grants take top prizes at NYC Media Lab Summit
One hundred students and faculty from nearly a dozen NYC area universities participated in a demo session during the NYC Media Lab Annual Summit hosted at The New School in
Drag and Facebook’s Identity Problem
Brown Institute Magic Grantee Jessa Lingel co-authored a piece for The Atlanticon Facebook’s recent public apology. According to their article After aggressively suspending the accounts of dozens of drag performers, in
2013-2014 Magic Grant Wrap-ups
THE DECLASSIFICATION ENGINE is a partnership between faculty and students in Columbia’s Departments of History, Statistics and Computer Science. The goal was to probe the limits of official secrecy by applying natural