Poynter has just posted a fantastic writeup of one of this year's Magic Grants, the Declassification Engine. Co-funded by the Tow Center for digital Journalism, the Declassification Engine will “create a critical mass of declassified documents by aggregating all the archives that are now just scattered online” and apply machine learning techniques to "reveal patterns in official secrecy.”
The Online News Association announced the members of its ONA13 Student Newsroom. Over 100 students applied from around the world, and Brown Fellow Nikolas Iubel was one of the 38 selected. The winners will provide intensive coverage of the Online News Association Conference & Awards Banquet, October 17-20 in Atlanta. This group will be mentored by distinguished digital journalists and journalism professors and will produce rich, varied multimedia coverage of the ONA Conference. Google provided $30,000 in scholarships to cover the registration, travel and lodging for the selected students and their mentors. Congratulations Nikolas!
Steve Lohr was a graduate of the School of Journalism in 1975 and now reports on technology, business and economics for the New York Times. In 2013, he was part of the team awarded the Pulitzer Prize for Explanatory Reporting for its reporting on Apple and other technology firms "that illustrates the darker side of a changing global economy for workers and consumers.” Steve joins the Brown Institute to work on a book on Big Data. Steve, welcome!
From a speedometer to a weather map to a stock chart, we routinely interpret and act on data displayed visually. With a few exceptions, data has no natural “look,” no natural “visualization,” and choices have to be made about how it should be displayed. Each choice can reveal certain kinds of patterns in the data while hiding others.
While these decisions are often made on technical grounds, they are also questions of design. Click to read the complete article.
The Brown Institute for Media Innovation has awarded seed funding to teams of students, post-docs and faculty from Stanford and Columbia universities to develop new technologies that could transform the ways media content is produced, delivered and consumed.
The winning projects include a natural language processor that detects media bias, an experiment in augmenting stories with virtual reality and a suite of machine learning tools to study redaction patterns in declassified documents. Click to read the full story.
The Brown Institute and the Institute for Data Sciences and Engineering hosted a Speed Dating event to promote inter-disciplinary collaboration. On the east side of the table we have architecture, the humanities, the social sciences, journalism and education; and on the west side we have engineering, mathematics and computer science. Matchmaker, matchmaker...
The Niemanlab Blog has just posted a great article about the Institute -- "Shaping technology to the story: The Brown Institute for Media Innovation is finding its niche"
The 2012-2013 Magic Grant Dispatch, a platform for secure communication when journalists report from scenes of conflict. We are happy to announce that a paper by the Dispatch Team, "Weaving a Safe Web of News," was accepted to the Social News on the Web workshop of the WWW '13 conference. Congratulations!
This morning, we took an image of the new home for the Brown Institute. As you can see, it's a blank canvas. Last week, LTL Architects delivered their final designs and construction is scheduled to begin in a couple months. We will post construction images (who doesn't love process pics?) as the project develops. (Here is an interactive panorama of the same image.)
The institute hosted over 100 journalists and technologists at an event designed to prompt new ideas for our Magic Grants. The Tow Center were co-sponsors and Hearst provided the venue. Forty-four floors above Central Park, we held a mini-unconference, organizing around new ideas and unasked questions about how stories are discovered and told. It was an amazing afternoon! Thanks to our of our participants, and to Tony Cherm and Karen Sanborn at Hearst who made it all possible.