A team of students led by an interdisciplinary group of faculty at the intersection of policy, economics, and computer science will use statistical and machine learning methods to assess and map the discourse of speeches (1919-2022) by applied economists on food and agricultural policy. Understanding the historical underpinnings of these...
A team of students led by researchers within the Saltwater Intrusion and Sea Level Rise (SWISLR) Research Coordination Network will be tasked with creating a geospatial database summarizing the current extent of SWISLR and the current knowledge on SWISLR within the North American Coastal Plain. Students will be responsible for...
Students will collaborate with the research team of Dr. Kathleen Cooney, including prominent partners both at Duke and other institutes, to identify genetic variants likely associated with early onset prostate cancer in African American patients identified by the Metropolitan Detroit Cancer Surveillance System (MDCSS) cancer registry. Students will analyze whole...
A team of students led by researchers in the O-Lab for auditory neuroscience will determine whether the imagination of speech and nonspeech sounds can be distinguished using on a non-invasive measurement of activation in the brain, electroencephalography (EEG). Students will collect and analyze EEG data from human participants in response...
A team of students led by Dr. Otis Jennings will explore and create 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 will require navigating corporate reporting, media,...
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 will analyze, map, and visualize student enrollment and demographic data in Durham County. The team will collaborate closely with analytics professionals at the Durham Public Schools (DPS) operations department and will provide analysis to help DPS plan and manage student enrollment and improve fairness in its...
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 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...
Is it ethically permissible to sell, buy, and use luxury goods? What labor practices do we tolerate to make these goods available? In the late Middle Ages and Renaissance, England was faced with an ever-growing supply of new and exciting goods, made possible by new trade routes to the New...
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. This project seeks to analyze 14 years...
A team of students led by researchers from the Nicholas School of the Environment will develop an app to estimate the distance of animals from a camera trap. Students will merge camera trap data with terrestrial lidar (3D imagery of forest around the camera trap) to locate the position of...
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 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....
A team of students led by a data scientist at NetApp will develop means to evaluate technical documentation through machine learning techniques. Students will identify features of language and documents that can be used to demonstrate how effective that documentation is at communicating technical specifications. Additionally, students will also apply...
Students will collaborate with CEE Professors David Carlson and Mike Bergin to model the effects of land use on the urban heat island effect using satellite imagery and ground-level temperature measurements. Students will use machine learning to segment satellite images of Durham, North Carolina by land use. They will then...
A team of students led by researchers Nicole Schramm-Sapyta, Ph.D. (Duke Institute for Brain Sciences) and Maria Tackett, Ph.D. (Department of Statistical Science) will examine data from the Durham County Detention Facility and Duke Health System to analyze the effect of mental health interventions, state and local policies, insurance coverage,...
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...
A team of students led by Biostatistics & Bioinformatics Professor Ethan Fang and Surgery Professor Annette Jackson will explore automatic transplant matching. Students will build an automatic system to mine the HLA dataset to predict whether a donor and a receiver is a potential match. This work will help the...
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