/2013

QCRI: Tapping Twitter for Faster Disaster Relief

2018-05-12T14:08:45-05:00

In October 2012, when Hurricane Sandy raged up the East Coast of the United States, many people in the path of the storm turned to a relatively new communication channel: Twitter. Between October 27th and November 1st, as the storm hit New York City and surrounding states, more than 20 million Tweets about the storm [...]

QCRI: Tapping Twitter for Faster Disaster Relief2018-05-12T14:08:45-05:00

NorthShore: mining medical data to tackle the obesity crisis

2018-05-12T14:08:45-05:00

Obesity is a rapidly growing epidemic in the US. More than a third of American adults are obese, and another third are overweight. If this trend holds, 42% of American adults will be obese by 2030, making obesity one of the leading public health challenges of our times. Excessive weight is bad for people’s health, [...]

NorthShore: mining medical data to tackle the obesity crisis2018-05-12T14:08:45-05:00

Data Science for Social Good Summer Fellowship to return for 2014

2015-12-06T23:11:28-05:00

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 [...]

Data Science for Social Good Summer Fellowship to return for 20142015-12-06T23:11:28-05:00

DSSG Fellowship Planning Workshop: Nov 14-15

2015-12-06T23:11:28-05:00

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 [...]

DSSG Fellowship Planning Workshop: Nov 14-152015-12-06T23:11:28-05:00

Divvy: Helping Chicago’s New Bike Share Find Its Balance

2018-05-12T14:08:46-05:00

“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, [...]

Divvy: Helping Chicago’s New Bike Share Find Its Balance2018-05-12T14:08:46-05:00

CTA: Why Bus Crowding Happens and How Data Can Help

2018-05-12T14:08:46-05:00

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 [...]

CTA: Why Bus Crowding Happens and How Data Can Help2018-05-12T14:08:46-05:00

The Match Game: Measuring the National Impact of Nurse-Family Partnership

2018-05-12T14:08:47-05:00

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 Match Game: Measuring the National Impact of Nurse-Family Partnership2018-05-12T14:08:47-05:00

Fellow profile: Nathan Leiby

2018-05-12T14:08:48-05:00

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 [...]

Fellow profile: Nathan Leiby2018-05-12T14:08:48-05:00

The Dark Matter of Public Policy Data (Part 2): Statistical Solutions

2018-05-12T14:08:49-05:00

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 [...]

The Dark Matter of Public Policy Data (Part 2): Statistical Solutions2018-05-12T14:08:49-05:00