Major advances in computation have made mapping local news easier. What can we learn from analyzing where stories fall on a map? Last fall, the Brown Institute and The Lenfest Institute for Journalism’s Lenfest Local Lab came together to try to answer some shared questions about the relationship between geography, quality and experience in local
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Solutions Journalism for Maternal Health Reporting
Nigeria’s estimated 58,000 maternal deaths account for a staggering 19% of the world’s annual total — a statistic from a country that represents just 2.6% of the world’s population. Mobile blood banks, free health care for mothers and newborns in some Nigerian states, and community health care centers in underserved regions have led to noticeable
2019 At the Brown Institute
As we move into 2020, we thought we would take a moment to reflect on both our struggles and success of 2019. From our new staff additions Ziv Schneider and Alex Calderwood, to project launches (below), to new partnerships, Brown has had a big year! Premiers and Launches This year we saw yet another batch
News Products – A New Course Offering at CJS
For Spring 2020, the Brown Institute is excited to announce a new course on News Products which will be open to all MS, MA, and Dual-Degree students! The course will be led by Julia Beizer, Chief Product Officer at Bloomberg and Dalit Shalom, Senior Product Designer at NYT and is a mix of lecture and
Datashare wins best open source project at #OSSPARIS19
The Brown Institute is pleased to announce that Datashare, a Magic Grant project by ICIJ, has been announced as the winner of the best open source project at the Paris Open Source Summit taking place December 10-11, 2019. DataShare allows for valuable knowledge about people and companies to be “sieved” into indexes and shared securely
Magic Grant “1000 Cut” Featured in The New Yorker
In the December 2019 edition of The New Yorker, Patricia Marx writes about “Taking Virtual Reality for a Test Drive.” Reality being what it is right now, doesn’t an alternative sound tempting? That’s what I was thinking the other day, in my apartment, when I adjusted the Velcro straps on my Oculus Quest, a chunky
Multi-Resolution Weak Supervision for Sequential Data
Authors Frederic Sala, Paroma Varma, Jason Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James R. Priest, Christopher Ré Abstract Since manually labeling training data is slow and expensive, recent industrial and scientific research efforts have turned to weaker or noisier forms of supervision sources. However, existing weak supervision
Actually, it’s about Ethics, AI, and Journalism
We live in a data society. Journalists are becoming data analysts and data curators, and computation is an essential tool for reporting. Data and computation reshape the way a reporter sees the world and composes a story. They also control the operation of the information ecosystem she sends her journalism into, influencing where it finds
Reporting “on” and “with” Twitter
The last session of the Transparency Series took place last Saturday and featured Craig Silverman, BuzzFeed’s media editor. Silverman has an incredible record of reporting on Twitter and social media platforms generally. During the day-long workshop, he shared his strategies for breaking stories down into “actors, content, behavior, and networks.” His investigative routine when looking