Sophie Guo, Math/PoliSci major, Bridget Dou, ECE/CompSci major, Sachet Bangia, Econ/CompSci major, and Christy Vaughn spent ten weeks studying different procedures for drawing congressional boundaries, and quantifying the effects of these procedures on the fairness of actual election results. Project Results There has already been research done with North Carolina districts, described in https://today.duke.edu/2014/10/mathofredistricting. There, Jonathan...
A team of students led by Professors Jonathan Mattingly and Gregory Herschlag will investigate gerrymandering in political districting plans. Students will improve on and employ an algorithm to sample the space of compliant redistricting plans for both state and federal districts. The output of the algorithm will be used to detect gerrymandering for a...
Social and environmental contexts are increasingly recognized as factors that impact health outcomes of patients. This team will have the opportunity to collaborate directly with clinicians and medical data in a real-world setting. They will examine the association between social determinants with risk prediction for hospital admissions, and to assess...
Lauren Fox (Cultural Anthropology) and Elizabeth Ratliff (Statistics, Global Health) spent ten weeks analyzing and mapping pedestrian, bicycle, and motor vehicle data provided by Durham’s Department of Transportation. This project was a continuation of a seminar on “ghost bikes” taught by Prof. Harris Solomon. Project Results: After extensive data cleaning and consultation with Transportation planners, the team...
We present a framework for high-dimensional regression using the GMRA data structure. In analogy to a classical wavelet decomposition of function spaces, a GMRA is a tree-based decomposition of a data set into local linear projections. Moreover, for new points, GMRA admits a fast algorithm for computing the projection coefficients on the already-learned dictionary....
GoDurham requires a database to conduct condition assessments for over 880 bus stops to support effective maintenance management and ensure regulatory compliance. According to the 2023 Durham County Transit Plan, 1,064 of 1,324 bus stops lack ADA-compliant paved landing pads, and outdated condition data prevents efficient prioritization of the $34.3...
How well and in what ways do governments communicate with their citizens? How do governments analyze data and create visualizations to promote public access to government information? Team Leaders Ken Rogerson, Sanford School Orlin Vakarelov, Philosophy Team Members Pimchanok Chuaylua, Political Science Blaine Elias, Public Policy Studies Nathalie Kauz, Public Policy Studies Lauren Kelly, Public Policy...
Computer Science and Psychology major Molly Chen, and Neuroscience major Emily Wu spent ten weeks working with patient diagnosis co-occurence data derived from Duke Electronic Medical Records to develop network visualizations of co-occurring disorders within demographic groups. Their goal was to make healthcare more holistic, and reduce healthcare disparities by improving patient and...
This project looks at policy implications of the vast expansion of Brazil’s higher education system from 2004 to 2016, which sought to promote economic mobility and reduce social disparities. Through public and private university expansion, it doubled the number of Brazilians attending college. The project team analyzed 14 years of...
The count of people experiencing homelessness (PEH) in the US hit a record high in 2024. Homelessness, besides its inherent harms, is associated with other injury and broader public health outcomes. As a structural driver of health, these ongoing, dynamic relationships between homelessness and health outcomes deserve robust, ongoing tracking....
Aaron Crouse (Divinity), Mariah Jones (Sociology), Peyton Schafer (Statistics), and Nicholas Simmons (English/Education) spent ten weeks consulting with leadership from the Parents Teacher Association at Glenn Elementary School in Durham. The team set up infrastructure for data collection and visualization that will aid the PTA in forming future strategy. Click here to read the Executive Summary Disciplines...
Traditional Human Activity Recognition (HAR) utilizes accelerometry (movement) data to classify activities. This summer, Team #4 examined using physiological sensors to improve HAR accuracy and generalizability. The team developed ML models that are going to be available open source in the Digital Biomarker Discovery Pipeline (DBDP) to enable other researchers...
The aim of this project was to explore how U.S. mass media—particularly newspapers—enlists text and imagery to portray human rights, genocide, and crimes against humanity from World War II until the present. From the Holocaust to Cambodia, from Rwanda to Myanmar, such representation has political consequences. Coined by Raphael Lemkin,...
Cassandra Turk (Economics) and Alec Ashforth (Economics, Math) spent ten weeks building tools to help minimize the risk of trading electricity on the wholesale energy market. The team combined data from many sources and employed a variety of outlier-detection methods and other statistical tools in order to create a large dataset of extreme...
Established in 1913, Jewelers Mutual Insurance Company, SI (JM) insures jewelry businesses and personal jewelry owners throughout the United States and Canada. As a mutual insurer focused on the best interests of its policyholder members, JM has an obligation to ensure it carefully evaluates the accuracy of all information that...
A team of students led by researchers in the Quantitative Imaging and Analysis Laboratory will use deep learning to decode the ‘neurocardiac circuits’ that link cardiometabolic health to cognitive aging. By relating heart metrics from cardiac imaging to brain data, students will identify how metabolic health modulates pathways that influence...
A group of students led by professors of climate sciences and stochastic analysis will use climate models to improve the projected rainfall over the southeastern United States. Students will learn about the climate processes that influence precipitation, flooding, and droughts, as well as how to improve model capability to predict...
A team of students led by researchers in the BIG IDEAs Lab will work to create a cloud-based infection detection platform that populates and translates wearable data from a variety of sources. The project will involve working with existing wearable data pipelines (e.g., APIs) to collect, process, and visualize wearable...
A team of students will collaborate with the Duke Health Digital Strategy Office, led by Associate Medical Director Joanna S. Cavalier, MD, to analyze data on patient-reported outcomes and patient questionnaires to improve patient experience and care. Our electronic health record, Epic, has a released a new data set that...
A team of students led by Biomedical Engineering Professor Megan Madonna and the Center for Global Women’s Health Technologies will develop methods to explore how middle and high school students become excited about engineering and STEM. Our team will evaluate and quantify the initiation and progression of engineering and STEM-identity...
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