Finding the story: Data-driven disaster coverage
Natural disasters such as hurricanes, floods, wildfires and extreme temperature swings are causing historic damage. Together we’ll explore key data sets and learn how to use them to explain catastrophic events to audiences.
This session is best for people who are already comfortable working with data in spreadsheets and have a basic familiarity with the capabilities of mapping tools such as QGIS or R.
Matt Stiles is a data journalist at the Los Angeles Times, where he covers local government. He previously reported on the Koreas from Seoul for the newspaper’s foreign desk. Before joining The Times, Stiles worked as an economics reporter for The Wall Street Journal, as data editor at NPR and as the founding news applications editor at The Texas Tribune. He tweets @stiles.
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