Siam News highlights a paper, coauthored by iiD's Ingrid Daubechies, recently published in the SIAM Journal on Imaging Sciences describing an algorithm that eliminates the visual discrepancies of cradling in X-rays of paintings.
North Carolina's "bathroom bill," HB2 has stirred passions and led to protests. A Duke Data+ team assessed the discrimination transgender people faced even before the bill was passed.
In a Data+ project led by Leslie Collins, professor of electrical and computer engineering and biomedical engineering at Duke, the team looked at satellite images from four different cities to locate solar panels to train the machine learning algorithm. The goal was to show how solar energy is being adopted on a county, city or neighborhood level.
Lisa Satterwhite, assistant research professor in the Department of Biomedical Engineering and iiD faculty member, and her Data+ team comprising Shaobo Han, Zidi Xiu and Albert Antar spent the summer processing data and making connections between symptoms in medical records and eventual diagnoses for patients with diabetes and pancreatic cancer.
Jonathan Mattingly, professor of mathematics and statistical science at Duke and iiD faculty member, and his Data+ team are mentioned in this article about gerrymandering.