Thursday, April 13, 2017 - 12:57

Jonathan Mattingly's iiD projects on gerrymandering recently resulted in a published paper on the topic in Arxiv. The paper represents the most comprehensive analysis of the team's work and was the basis of Mattingly's expert testimony for the Common Cause Law suit against North Carolina for partisan gerrymandering.

Among the paper's authors are four undergraduates, a graduate student and a post-doctoral student. 

Download the paper to see the results yourself!

Related Projects:
Thursday, April 13, 2017 - 12:50

The Harlem Lacrosse team visited the Information Initiative at Duke and learned from Professor Guillermo Sapiro about image processing, global health, and how Duke and Duke Science is involved in helping society.

Wednesday, April 05, 2017 - 10:27

Data+ 2016 participants Morton Mo and Lindsay Hirschhorn followed up with us recently to share how their participation in Data+ has helped them find jobs in data science after the program wrapped up in the summer of 2016. While each student had a very different experience, the one thing they share is the edge that Data+ gave their resumes, and got them the job!

Wednesday, April 05, 2017 - 10:22

Data+ 2017 has accepted 70 students to research and work in interdisciplinary project teams over the summer, starting May 22. The program will run 10 weeks, during which project teams will work on data provided by their clients and learn to marshal, analyze, and visualize that data based on the client’s goals for each project. "This year it was a very large applicant pool, and it was hard to make all of these decisions," Co-Director Paul Bendich says.

Wednesday, March 29, 2017 - 9:35

Duke University seeks exceptional candidates for the upcoming Duke Data Science Postdoctoral Fellowship. This competitive fellowship will provide three years of support for an outstanding scholar with established academic excellence in a quantitative science including (but not limited to) statistics, computer science, engineering or math who seeks to broaden their impact both within and outside of academia by working across disciplines and sectors to solve pressing social science problems.