A Northwestern University joint initiative of Medill School of Journalism, Media, Integrated Marketing Communications and the Robert R. McCormick School of Engineering & Applied Science. Northwestern University joint initiative of Medill & McCormick School of Engineering.
Blog:NICAR

NICAR16: They’re coming for us: How platforms shape the way we tell stories

One of the recurring themes of NICAR was how graphics reporters and news apps developers are grappling with new distribution platforms like Facebook Instant Articles, Google AMP and even Snapchat. There is no one canonical version of a graphic. Instead, you might create different versions of it for different platforms: a fancy D3 interaction for the mobile web, a fun GIF for Twitter and a static image for Facebook Instant Articles. One of

NICAR16: Tackling federal election campaign finance data

In an election year, NICAR was bound to feature plenty of election-themed sessions.One of the more interesting that I caught was “Election: Reverse-engineering campaign finance stories,” in which Aaron Bycoffe, Carrie Levine, and Derek Willis walked the audience through the steps they took to break various campaign finance stories. Using an open-source parser to find small donations In quarterly filings with the Federal Election Commission, candidates must declare how much they’ve raised and

NICAR16: A glimpse at an Excel-free future thanks to relational databases

Some people come to NICAR with goals, whether they were networking goals or technical goals or partying goals. I came to my first NICAR with next to nothing. I wasn’t quite sure what to expect, other than it being half a week’s worth of sessions and panels about data, journalism, and everything in between, which it turns out, is quite a bit. One thing I had been meaning to learn for a while,

NICAR16: Visualization designed for the human brain

Data visualizations must tell a good story. But even the best stories might get lost in the translation to a chart, infographic, or map and end up in the dreaded WTF Viz hall of fame. In a session called “Information design for the human brain,” BuzzFeed reporter Peter Aldhous and MediaShift metrics editor and curator Allie Kanik highlighted different ways of encoding data and shared their tips and tricks for deciding the appropriate

Say hello to Knight Lab at NICAR16!

Hello, NICAR 2016! We’re Knight Lab, and we’d love to meet you. Find us in person or online throughout the weekend, or at the Hacks/Hackers Colorado Meetup we’re sponsoring on Thursday night. Two exciting things: We’re hiring! We’ll soon have a presence in San Francisco! (Though we’re not hiring there.) Can’t wait to meet you all! Here’s who we are and where we’ll be: Faculty and staff Emily Withrow — Faculty Joe Germuska

NICAR 2015: Machine learning lessons for journalists

Venn diagram of data science skills and fields

Machine learning is certainly not a new concept in journalism, but it seemed to enjoy plenty of prominence at NICAR this year — fantastic news for newbies to the field like me. I attended several sessions on it, both theoretical and technical, and a few key concepts came up repeatedly. Whether this year’s conference was your first exposure to machine learning, or you’re a seasoned pro, here are four takeaways worth reviewing: Machine