News  / 

Maps and data score big grants from Knight News Challenge

Jun 18, 2010

Since 2007, the Knight News Foundation has awarded millions of dollars in grants to fund “innovative ideas that develop platforms, tools and services to inform and transform community news, conversations and information distribution and visualization.” There were 12 grants awarded this year, and three of them deal with maps. The folks at Stamen scored the biggest grant at $400k for their project CityTracking:

To make municipal data easy to understand, CityTracking will allow users to create embeddable data visualizations that are appealing enough to spread virally and that are as easy to share as photos and videos. The dynamic interfaces will be appropriate to each data type, starting with crime and working through 311 calls for service, among others. The creators will use high design standards, making the visuals beautiful as well as useful.

That’s obviously something we’ll need to keep an eye on.

The other two mapping projects were GoMap Riga (Marcis Rubenis and Kristofs Blaus), which will place real-time local news on maps and Tilemapping (Development Seed), which will be a tool to help journalists make maps more easily.

Broken record, yes I am, but data is gonna be big I tells ya. Big.

See the quick ten-second pitches from all twelve winners below. I’m intrigued by The Cartoonist. They’re going to use cartoon-like games to get engaged readers and get them involved in the news.

Favorites

A Day in the Life of Americans

I wanted to see how daily patterns emerge at the individual level and how a person’s entire day plays out. So I simulated 1,000 of them.

Real Chart Rules to Follow

There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.

10 Best Data Visualization Projects of 2017

It was a rough year, which brought about a lot of good work. Here are my favorite data visualization projects of the year.

Years You Have Left to Live, Probably

The individual data points of life are much less predictable than the average. Here’s a simulation that shows you how much time is left on the clock.