Over ten weeks, Biology major Jacob Sumner and Neuroscience major Julianna Zhang joined forces with Biostatistics Masters student Jing Lyu to analyze potential drug diversion in the Duke Medical Center. Early detection of drug diversion assists health care providers in helping patients recover from their condition, as well as mitigate the effects on any patients under...
A team of students led by Dr. Otis Jennings explored and created a research paper that seeks to understand the gap between the stated diversity funding, goals and support by corporations relative to their actual level of support to diverse founders. The research required navigating corporate reporting, media, press releases,...
Sean Fiscus (Math/Econ/EnvEng), Alyssa Shi (Stats), Yamil Lopez-Ruiz (BME/CS), Emmanuel Mokel (Stats/Math) spent ten weeks working with data from CovIdentify, a study that focuses on using wearables to predict and diagnose COVID-19 and the Flu. The team improved the memory efficiency of analytic pipelines, and added capacity to ingest different...
Caroline Tang (Math/Stats) joined CS majors Frankie Willard and Alex Kumar in a ten-week exploration of AI methods to improve the mapping of energy infrastructure within satellite imagery. The team used cutting-edge methods to create synthetic imagery that, when blended with real imagery, improved the performance of deep learning methods...
Students will coordinate with the Organisation for Economic Co-operation and Development (OECD) Working Party on Bio-, Nano-, and Converging Technology to develop strategies to anticipate the development of emerging technologies and novel applications beginning with the field of Synthetic Biology (synbio). The development of these strategies will help the OECD...
Students on this project will collaborate with select companies in the early stages of developing digital,hardware, and biotech mental health tools to develop an ethical framework for operating the companyover time. This work will require students to familiarize themselves with a range of new technologicalapplications, including virtual and extended reality,...
A team of students led by researchers in the Duke University Critical Minerals Hub will use data-driven methods to develop machine learning models that predict critical mineral presence and abundance in mine waste and acid mine drainage. Students will integrate large geological and geochemical datasets, identify key indicators of critical...
Xixi Lei (CS), Raffey Rana (CS/Econ), and Fan Zhu (Stats) spent ten weeks building tools to enable DUMAC to track and visualize its investments and their performance. The team cleaned data, met with stakeholders, and delivered an interactive dashboard in Tableau. View the team’s project poster here Watch the...
Ecological data comes in various shapes and sizes. When conducting an ecological study, it is common to have population data (such as snail counts) and continuous sensor data (such as stream temperature with 35,000 data points collected each year!). Ecologists must reconcile data collected at different spatial and temporal scales...
A team of students led by researchers in Energy Materials and Machine Learning groups, supervised by Prof. Olivier Delaire and Prof. David Carlson, will develop means to evaluate and quantity motions of atoms in novel materials for energy conversion and energy storage. This project will advance our understanding of two...
Lucas Fagan (Computer Science/Public Policy), Caroline Wang (Computer Science/Math), and Ethan Holland (Statistics/Computer Science) spent ten weeks understanding how data science can contribute to fact-checking methodology. Training on audio data from major news stations, they adapted OpenAI methods to develop a pipeline that moves from audio data to an interface that enables users to search...
Jake Epstein (Statistics/Economics), Emre Kiziltug (Economics), and Alexander Rubin (Math/Computer Science) spent ten weeks investigating the existence of relative value opportunities in global corporate bond markets. They worked closely with a dataset provided by a leading asset management firm. Click here for the Executive Summary Disciplines Involved: Economics, all Quantitative STEM Project Lead: Emma Raisel Project...
We introduced students to spatial analysis in QGIS and R using location data from two whale species tagged with satellite transmitters. Students were given satellite tracks from five Cuvier’s beaked whales (Ziphius cavirostris) and five short-finned pilot whales (Globicephala macrorhynchus) tagged off the North Carolina coast. Students then used RStudio...
A team of students will collaborate with a doctoral fellow in Computational Humanities and the Asian American Studies Librarian to develop a statistics-based Natural Language Processing toolkit to study the linguistic styles of Asian American short stories published between 1974 and 2024. This toolkit will support historians, literary scholars, and...
In coordination with the Duke Office of Community Health, Duke School of Medicine’s Root Causes, and with close alignment to OCH’s Faith & Health Initiative and the City–County Durham Resiliency Hub work, this project uses data science, GIS, and visualization to map and integrate community assets and risks that can support emergency preparedness and response—especially for food...
A team of students will partner closely with the City of Durham’s newly formed Community Safety Department. The Community Safety Department’s mission is to identify, implement, and evaluate new approaches to enhance public safety that may not involve a law enforcement response or the criminal justice system. The student team...
A team of students analyzed, mapped, and visualized student enrollment and demographic data in Durham County. The team collaborated closely with analytics professionals at the Durham Public Schools (DPS) operations department and provided analysis to help DPS plan and manage student enrollment and improve fairness in its student assignment policies....
A team of students will collaborate with the Durham Public Schools (DPS) planning department to analyze, map, and visualize student enrollment and demographic data in Durham County. This data will help DPS plan and manage student enrollment and improve fairness in its student assignment policies. The main project will be...
A team of students led by researchers in the Durham Public Schools planning department will analyze, map, and visualize student enrollment and demographic data in Durham County. Potential projects for next summer include working with Census and DPS data to develop models that explain DPS enrollment trends historically and across...
A team of students will collaborate with the Durham Public Schools planning department to develop and refine capacity and student assignment optimization models. This project will be a continuation of work started by the 2025 Data+ team and will allow DPS to site new school capacity in line with future...
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