Part of the joy of the Magic Grant process is getting to see all of our teams coming together over the course of their year with us. So two weekends
CategoryNews
Brown staff in Reveal with “The Wall”
President Donald Trump’s promise to build a border wall along the U.S.-Mexico border is the subject of intense discussion. The immigration debate has raised the question about the current state
Washington Post Executive Editor Marty Baron, In Conversation
Just hours after The Washington Post unveiled its new slogan “Democracy Dies in Darkness,” the Brown Institute at Stanford hosted the newspaper’s Executive Editor Martin “Marty’” Baron, as part of the Institute’s
Daniel Alarcón: Telling True Stories in Sound
In the United States, audio storytelling is experiencing a renaissance. The latest wave of sophisticated podcasts cover stories on everything from true crime to architecture to imaginary worlds. Instead of
Brown Institute Movie Night: “The Search for General Tso”
Food from Pei Wei and Panda Express greeted guests at the Brown Institute’s first ever movie night on Wednesday, February 1. The Chinese food helped guests get in the mood
Recap: Networks in Journalism – Transparency Series
This past weekend at Columbia University, The Brown Institute played host to some of the world’s most prodigious networkers. Not the schmoozing kind nor the TCP/IP and fiber kind, but
Innovation in Unique Places – Dick Penny of The Watershed
On January 31st, 2017, The Brown Institute at Columbia Journalism School will welcome Dick Penny, director of the Watershed in Bristol. The Watershed offers lively public programs in film, media, the arts and
Brown Institute Converges for Base Camp at Stanford
The Brown Institute was founded on the promise that by bringing together students from our two campuses, Stanford and Columbia, we might be able to change the world, but we’d
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
An overview of the data needed to move from perceptual awareness to cognitive understanding of images. We present a dataset of images densely annotated with numerous region descriptions, objects, attributes,