Saumya Sao and Melanie Lai Wai were proud to share the results of their 10-week Data+ project, Big Data for Reproductive Health.
A three-judge federal district court panel in North Carolina again ruled in Common Cause v. Rucho that the North Carolina General Assembly violated the U.S. Constitution in 2016 when legislators manipulated congressional districts for partisan advantage. The case references Jonathan Mattingly's work on gerrymandering.
In partnership with Duke’s Office of Information Technology, the Co-curricular Technology Pathways E-advisor Data+ team spent 10 weeks researching and cataloguing the growing list of opportunities at Duke and developed an “e-advisor” app to recommend programs to students based on their unique backgrounds and interests.
The Duke CoCurricular Eadvisor, an app developed as part of a Data+ project, comes up with a personalized ranked list of student clubs and programs based on interests and past participation compared to others.
Ingrid Daubechies presented examples of how her work in image analysis has been used to restore, rejuvenate, and uncover lost works at this year's International Congress of Mathematicians in Rio de Janeiro.
With some help from Duke analytical chemist Lee Ferguson and his million-dollar lab instrument, the state of North Carolina is about to launch one of the world’s most ambitious testing programs to detect chemical contaminants in drinking water.
Ingrid Daubechies, James B. Duke Professor of Mathematics and Electrical and Computer Engineering and iiD faculty member, has been awarded the 2018 Fudan-Zhongzhi Science Award for her contribution to wavelet theory, a refinement of the Fourier technique frequently used to shrink digital photos and movies so that they take up fewer kilobytes without noticeably losing detail.
This article from The Atlantic on autism highlights Geraldine Dawson's work on the Autism and Beyond mobile app.
This article from the Proceedings of the National Academy of Sciences on the use of math tools to show gerrymandering features the work of iiD's Jonathan Mattingly.
This article highlights iiD faculty member Jonathan Mattingly's work mathematically dissecting the structure of a typical redistricting to identify gerrymandering.