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.
Jerry Reiter will be the next editor of Statistics and Public Policy, an open access journal of the American Statistical Association. The journal publishes papers that apply statistical methods to answer problems in public policy or relevant political science.
Jerry is Deputy Director of the Information Initiative at Duke, and professor and associate chair of Statistical Science.
Duke Expert Touts Transformative Potential of Energy Data Analytics in New Book on Digital DecarbonizationTuesday, June 26 2018
The Council on Foreign Relations released Digital Decarbonization, an anthology of 13 experts’ perspectives on how the unfolding of the digital revolution could help to drive a transition toward clean energy. The volume includes an article by Duke University researcher Dr. Kyle Bradbury, who outlines the transformative potential of the emerging field of energy data analytics.
Duke University is hosting the second annual Summer Institute in Computational Social Science (SICSS) workshop from June 17 – 30, 2018.