A team of students, guided by computer vision lab researchers and the coaching staff of Duke Women’s Basketball, is set to create a suite of tools designed to automatically analyze gameplay from video clips using computer vision techniques. They will construct a computer vision application capable of pinpointing players’ positions...
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 the Duke World Food Policy Center’s Ag economist Norbert Wilson and electrical and computer engineering professor Leslie Collins and research professor Boyla Mainsah will analyze agricultural research funding to understand whether USDA’s National Institute of Food and Agriculture (NIFA) has prioritized Ag production and...
A team of students lead by ECE faculty member Genevieve Lipp will use mastery learning data from a graduate programming course to develop a tool for predicting student performance and inform beneficial course policies. Given the grade, timeliness, and number of submissions for each autograded programming assignment, the team will...
Students will develop and use a database that links physical, chemical, and social environmental data with incidence of specific immune-related diseases within neighborhoods in North Carolina. This database will consist of both publicly-available environmental, social, and climate data as well as data specific to/generated by Duke researchers; health information will...
A team of students will collaborate with the UNC Injury Prevention Research Center and North Carolina Injury and Violence Prevention Branch to update the North Carolina Alcohol Data Dashboard. Students will analyze data, design a dashboard wireframe, and build an updated data dashboard that provides a holistic narrative of the...
The US has one of the largest incarcerated populations per capita; prisons are dangerous environments with high in-prison and post-release mortality. Our 3rd City Mortality project tracks near-real-time data about individual deaths, including data completeness and release speed, across US state, federal, and Washington DC prison systems. Students will use...
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...
This data expedition focused on animal navigation, specifically the mechanisms by which organisms orient themselves in the direction they need to move. The students gathered their own orientation data using pill bugs, and in the process learned common experimental methods to test hypotheses about orientation, as well as statistical methods...
Students will collaborate to develop a document that outlines the current policy, research, and practice landscape of Whole Genome Sequencing for New Born Screening. Students will have the opportunity to conduct a thorough review of the existing literature and consult with relevant stakeholders to synthesize a clear and concise report....
Students on this project will assist Illumina with the research and assessment of Community-Based Review Boards to enable greater transparency in the ethical collection and use of patient data. Students should expect to familiarize themselves with the context of different types of ethics review boards and their role in the...
Students on this project will assist Illumina with the development of good genomic data-sharing principles to help garner effective communication and trust among patients, physicians, and genomic researchers. Specifically, students will research and propose data-sharing principles to encourage the ethical collection, sharing, and communication of patient genomic data with their...
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 will coordinate with the Organisation for Economic Co-operation and Development (OECD) Working Party on Bio-, Nano-, and Converging Technology to support the development of impact assessment tools for the use of neurotechnologies. This project would constitute Phase I of developing a “neurotech” impact assessment tool that analyses the effects...
Students will coordinate with the Organisation for Economic Co-operation and Development (OECD) Working Party on Bio-, Nano-, and Converging Technology to develop a governance framework to both encourage the development of and mitigate the potential harms of emerging technologies. Framework development will require creative and interdisciplinary research to identify different dimensions of risks posed...
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 within the Saltwater Intrusion and Sea Level Rise (SWISLR) Research Coordination Network created a geospatial database summarizing the current extent of SWISLR and the current knowledge on SWISLR within the North American Coastal Plain. Students were responsible for mapping scholarly articles, news stories,...
A team of students led by Civil & Environmental Engineering Professor Helen Hsu-Kim developed a resource reserves database of coal ash wastes stored in hundreds of legacy disposal sites in the United States. The team extracted key information from historical datasets on coal energy production, incorporated geochemical information of coal...
Researchers with the Duke River Center and the Watershed Biogeochemistry Lab investigate patterns of anoxia, or periods of little to no oxygen, in rivers. Oxygen is a necessary element for many organisms to live in rivers, but researchers know little about the timing, duration, and magnitude of low oxygen time...
This project helped to build a globally scalable foundation model to enable near real-time tracking of climate change causes and impacts. A foundation model is a model (usually a deep neural network) that has been trained on a large and diverse set of data, after which it can be adapted...
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