Chris Hagan is a Web Producer and Data Reporter for WBEZ. He writes for the WBEZ Data Blog and produces enterprise work that uses civic data to tell stories about Chicago. Prior to joining WBEZ in 2014, Chris worked as a storyteller for Oregon State University's College of Business and as a reporter and videographer for the Statesman Journal in Salem, Oregon.
Chris has a B.S. in journalism from the University of Oregon. He grew up in the San Francisco Bay Area.
WBEZ stats guru Chris Hagan has created a page where you can run a single playoff simulation to determine the North Sider’s actually chances of winning it all. Or, press a single button and have the computer run 1,000 simulations to see if the Cubs’ chances get any better.
Scientists are tackling difficult questions and coming up with innovative solutions for everything from education to energy, police misconduct to legislative plagiarism. And they’re doing it by crunching numbers. They’re called Data Scientists. They take a ton of information, and create algorithms that predict what’ll happen in the future, based on how things went down in the past. But just having the info isn’t enough to solve problems. The scientists and their numbers must be paired up with an individual or a group that can put this knowledge to good use.That’s where The Data Science for Social Good fellowship at the University of Chicago comes in. It’s the brainchild of former Obama for America Chief Scientist Rayid Ghani. Now in its third year, the fellowship connects aspiring data scientists from around the country with governments and nonprofits. One project last year crunched data to show where kids in Chicago might be at risk for lead poisoning. Here to tell us more about the fellowship are Program Director Rayid Ghani and technical mentor Joe Walsh.