The IRE office will be closed from December 25th to January 5th.
Posts Tagged ‘NICAR’
NICAR Q&A with Nathaniel Lash
Nathaniel Lash Nathaniel Lash is a data reporter for the Tampa Bay Times. He was part of a team of journalists who worked on “Failure Factories,” a series that explored how five Pinellas County schools became some of the worst in Florida. How would you describe your job? I work at the Tampa Bay…
Read MoreQuickly report on dangerous winter driving conditions using our new database
More than 3,100 people across the country died in fatal car crashes in the three-day window around Christmas in the 11-year period from 2003 to 2013. More than 500 of those involved snow, rain, sleet or hail, according to accident records. It’s easy to localize a story about dangerous winter driving conditions in your community.…
Read MoreNICAR Q&A with Topher Sanders
Topher Sanders Topher Sanders covers racial inequality for ProPublica. He previously reported on education and city government for The Florida Times-Union. Named to the paper’s investigative team in 2013, he became the investigative editor in 2014. How would you describe your job? I’m a reporter. And like any reporter in the country, it’s my job…
Read MoreUse our new simplified fatal accidents database to write holiday stories with impact
We know how busy the end of the year can be, so we’ve put together a simplified database on fatal car accidents to help you produce year-end stories with impact. Our full DOT Fatality Analysis Reporting System database (FARS) has 19 tables and almost 800 columns of detailed information about fatal car accidents. To save…
Read More2016 CAR Conference T-shirt contest to begin in January
It’s almost time for the annual CAR Conference T-shirt contest! If you don’t have a design ready to go, don’t worry. You still have plenty of time to come up with your best data journalism one-liners, SQL puns and NICAR logo designs. The winner gets bragging rights, a free shirt and $50 in the IRE…
Read MoreIntroducing NICAR-Learn: A new hub for on-demand training videos
Trying to boost your data journalism skills? We know it can be hard to learn on your own. For more than 20 years, journalists have used Investigative Reporters & Editors and the National Institute for Computer-Assisted Reporting to share ideas, solve problems and discuss techniques for computer-assisted reporting. Today we’re excited to introduce NICAR-Learn, a…
Read MoreAdd context to stories on car crashes, seatbelt safety and drunken driving using FARS data
How many people die in car accidents? Sometimes you’ll see the answer to that question flashing on a billboard on the highway. It’s also in the DOT’s Fatality Analysis Reporting System (FARS) database, a census of fatality accidents on public roads in all fifty states and the District of Columbia. You can use the data…
Read MoreHow to build a better weather story: Tips for reporting before, during and after the storm
A graphic from the Seattle Times’ coverage of the Oso, Washington landslide Does your newsroom have the data and resources it needs to cover the next big storm? With a little preparation, you can have detailed information on critical infrastructure – like dams and levees – ready to go the next time a hurricane or…
Read MoreShare your ideas for the 2016 CAR Conference in Denver!
We’re gearing up for our annual data journalism conference March 10-13 in Denver and want your input to make this the best NICAR yet. We’re accepting session and speaker ideas through September 25. Please submit your ideas here. If you’d rather send them via email, please use confideas@ire.org. Thanks to all of you who’ve submitted ideas and attended our conferences…
Read MoreNICAR Q&A with Armand Emamdjomeh
Armand Emamdjomeh Armand Emamdjomeh is a data reporter at the Los Angeles Times. While at the UC Berkeley Graduate School of Journalism, he helped to launch Mission Local, a community news site covering San Francisco’s Mission District. In a previous life, he worked for international disaster relief and development agencies. Our interview follows. How would…
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