Application Deadline: April 1, 2013
Acceptance Notification: April 10, 2013
Fellowship Program: Early June – Late August 2013
Want to use your Machine Learning and Data Mining skills for Social Good? Love the intellectual rigor of science, but want to work on real-world problems? Looking for a meaningful bridge into the growing field of data science?
The Computation Institute at the University of Chicago and Argonne National Laboratory invite you to apply for the 2013 Data Science for Social Good summer fellowship.
We’re training future data scientists to work on the world’s most challenging social problems.
Fellows will work in small teams with the Obama campaign analytics team and other seasoned data scientists from academia and business as mentors and project leaders on high-impact projects in education, healthcare, energy, transportation, and more.
The program is selective, full-time for the summer, and hands-on:
- You’ll work with data from nonprofits and governments to help them solve large problems.
- You’ll learn how to apply statistics, machine learning, and big data technologies to problems that matter.
- And you’ll work collaboratively with interdisciplinary teams.
The fellowship stipend is competitive and is based on your experience. We’ll house you in Chicago for the summer, from early June to late August. (Exact dates coming soon.)
Our advisory team is led by Eric Schmidt (Google) and Rayid Ghani (former Chief Scientist for Obama 2012 campaign).
Who we’re looking for
We’re looking for PhD, masters, and advanced undergraduate students in the computer science, statistics, and the computational and quantitative sciences. If you’re an amazing software engineer with a serious interest in data science, we want to hear from you too.
You’ll need statistics, programming, and data skills – but you don’t need to be an expert in every area.
Most of all, we want people who are passionate about using data for social impact.
In addition to “fellows” they are also looking for mentors and governments and nonprofits with lots of data and problems. Can’t imagine the lots of data and problems being hard to find. 😉
Good opportunity to gain some visibility for topic maps if you don’t mind spending the summer in Chicago.
Too bad the Daley machine isn’t what it once was. A topic map of relationships overlaid on a map of Chicago would be interesting.
I first saw this in a tweet by paco nathan.