Learning How Typography Can Save Your Life
Typography is an aesthetic choice, but it’s also an interface element that can help keep drivers and astronauts safe—or put real people in danger. So what can journalists learn from high-stakes typography successes and failures at NOAA, NASA, and the Surgeon General? Quite a lot.
Learning Seeing the Error of Your Ways
Chances are, you probably think your mind works pretty well. But, in reality, our brains fool us all the time with blind spots and biases. So what can we do about it? Let’s examine how graphics, including charts, interactives and other visual tools, can help show us the shortcomings of our own minds.
Learning Data Journalism Should Thrive on Cross-Border Collaborations—Why Doesn’t It?
Mixed skill sets, varying audiences and a basic lack of agreement on the purpose of journalism stand in the way of multi-country, data-driven journalism. But Eva Constantaras says the potential is too great to give up on.
More case studies:
Made at our recent code convening, broca creates a system for easier experimentation and implementation of natural language processing.
GIFs and other looped images are mightier than journalists might imagine. Lena Groeger explains the legend, the myth, the GIF.
Opportunities overfloweth in journalism code—so why aren’t more journalism students signing up for computer science classes? Lindsey Cook reports back on a year of research.
On the web, audio has never received the wide browser support that images and videos have enjoyed. What gives? What’s next?
Sometimes you write a piece of software and it gets used for purposes you didn’t quite imagine at the time. Sometimes you write a piece of software and it unexpectedly rearranges your life.
How NPR’s picture stories have changed—and the design principles and iterative work behind all the changes.
The Census Bureau’s population counts make trends in household makeup easy to track. All you need are two things: an understanding of how the Census asks Americans about households and relationships, and where to find the right tables amid the haystack of tabulations. That’s what this post aims to help you with.
Jake Harris on data visualization, empathy, and representing people with dots
D’Vera Cohn on Everything You Ever Wanted to Know About Marriage Data But Were Afraid to Ask
Jeremy Merrill and Ken Schwencke explore the fine art of anticipating and catching errors while wrangling the eccentricities of US elections data.
Michael Maciag‘s walk-through of this under-utilized goldmine.
Emily Alpert Reyes on how to find promising needles in Census haystacks.
Jake Harris reverse-engineers Twee-Q to evaluate its use of data (and see if his ratio is as disappointing as Twee-Q says it is)
Jonathan Stray on how to protect yourself, your sources, and your scoop on sensitive stories