How can Internet search results be improved for minority users? A Data+ team sponsored by Sankofa, Inc. worked to figure it out.
In Wired, Ingrid Daubechies shows that math is everywhere, if you know where to look. She explains how her team used it as part of the Ghissi Exhibit at the North Carolina Museum of Art.
See how an iiD Data+ team teamed up with Duke Parking and Transportation to explore how data analysis and visualization can help make parking on campus a breeze.
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.
Duke Undergraduate International Genetically Engineered Machine (iGEM) Team, a Bass Connections and iiD collaboration, has received two external grants to support its work.
As part of a Data+ project this summer, Anne Driscoll, a Duke junior, and Austin Ferguson, recent graduate, mined datasets from Scholars@Duke and PubMed to see if they could find a way to measure interdepartmental collaboration among faculty at Duke.