Program seeks fellows, mentors and partners After a successful first summer, in which aspiring data scientists from around the world completed innovative data and analytics projects with non-profit and government partners, the Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship will return with a new class of fellows, mentors and project partners [...]
Due to a lot of interest from other universities (and cities) in running similar programs next summer, we are conducting a workshop to recap what we learned over the summer and to help others organize similar programs in the future. This workshop is meant to be small, focused, and targeted at groups who are seriously [...]
“Wow! What is that? Where’d you get it?,” the beach-going twentysomething asked me. I looked up from the map on my phone and steadied the powder-blue bike under me to answer his question. It was, of course, a Divvy bike - part of Chicago’s hot new bike share system. As a car-less visitor in Chicago, [...]
We've all been there: standing at an intersection, waiting for the bus to come. Passengers keep arriving at the stop, and you start to realize you could have a crowded ride ahead. When the bus finally arrives, it's packed. Should you wait for the next bus? Or will it be just as crowded - or [...]
There are thousands of organizations around the country that are dedicated to helping people in need. Yet despite those good intentions, few of those organizations are scientifically rigorous in evaluating their strengths and weaknesses in order to make changes to maximize positive impact in as many people as possible. The reasons are easy to understand: [...]
The core goal of the Data Science for Social Good fellowship is to connect technically skilled people to social problems. For Nathan Leiby, this is already familiar territory. Leiby is a computer science graduate from Harvard University and has spent the past few years working at the intersection of health and technology. He’s traveled from [...]
Part one of this series talked about the “dark matter” of public policy data -- the invisible factors not present in a dataset that can distort an evaluation of a program’s effectiveness. In this post, we break down some of the statistical methods the field of econometrics has developed to grapple with this issue. A [...]
"2-car acc @ State & Lake, both drivers injred" That short, hastily typed text message or tweet contains a lot of information that police, emergency responders, news organizations and drivers could use. A human observer could quickly identify that it refers to an auto accident, a medical emergency, and a street intersection in Chicago. But [...]
Boarded up buildings and overgrown lots have plagued Chicago's low-income neighborhoods for decades. Over the past five years, however, vacant and abandoned properties have spread beyond the inner city and into the suburbs, disrupting formerly stable working and middle class communities and prompting the creation of a county-wide land bank, a new tool for fighting [...]
I cringe a little at the term data science. It conveys all the hype and false-promise you'd expect of an occupation recently described as the "sexiest job of the 21st century". It's all-encompassing, yet it manages to describe little in its vagueness. The ambiguity of its definition will probably resolve itself in time. But the [...]
