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...
This project summarizes the existing sample agreements from different institutions, analyzes the key contractual issues in the formation of alliances, and develops master charts of legal provisions to compare different approaches, to provide a reference for the formation of new alliances in the era of epidemic disease outbreaks. Key Contractual...
Priya Sarkar (Computer Science), Lily Zerihun (Biology and Global Health), and Anqi Zhang (Biostatistics) spent ten weeks utilizing Duke Electronic Medical Record (EMR) data to identify subgroups of diabetic patients, and predict future complications associated with Type II Diabetes. Project Results The team utilized t-Distributed Stochastic Neighbor Embedding (t-SNE) for dimensionality reduction of prescribed medications, medical...
A virtual reality system to recreate the archaeological experience using data and 3D models from the neolithic site of Çatalhöyük, in Anatolia, Turkey. Project Team Emmanuel Shiferaw,ECE/CS, Duke University Cheng Ma , ME/CS, Duke University Regis Kopper, DiVE, Duke University Maurizio Forte, AAHVS, Duke University Nicola Lercari, World Heritage, UC Merced Project Objectives Develop...
The Disease Emergence and Richness in Primates team uses existing databases to quantify parasite richness across primates and to identify ecological predictors of parasitism. By integrating phylogenetic generalized least squares regression and network based approaches, the team ultimately aims to predict missing interactions between primates and parasites, which, combined with...
Statistical Science majors Nathaniel Brown and Corey Vernot, and Economics student Guan-Wun Hao spent ten weeks exploring changes in food purchase behavior and nutritional intake following the event of a new Metformin prescription for Type II Diabetes. They worked closely with Matthew Harding and researchers in the BECR Center, as well as Dr. Susan Spratt, an endocrinologist in Duke...
Marco Gonazales Blancas (Civil Engineering) and Mengjie Xiu (Masters, BioStatistics) spent ten weeks building tools to help Duke reduce its energy footprint and achieve carbon neutrality by 2024. The team processed and analyzed troves of utility consumption data and then created practical monthly energy use reports for each school at Duke. These reports...
A team of students led by Duke Forest staff as well as a faculty and postdoc from Duke’s Nicholas School of the Environment will explore, organize, and create visualizations for observation data of reptiles and amphibians—collectively known as “herpetofauna”—in the Duke Forest. This data is directly collected by Duke Forest’s...
A team of students led by staff from the Duke Office of Climate and Sustainability will explore improvements to Duke University’s greenhouse gas data system. Students will see how the data flows through campus and how it is ultimately used to quantify and report on Duke’s contribution to climate change...
Statistical Science majors Eidan Jacob and Justina Zou joined forces with math major Mason Simon built interactive tools that analyze and visualize the trajectories taken by wireless devices as they move across Duke’s campus and connect to its wireless network. They used de-identified data provided by Duke’s Office of Information Technology, and worked closely with...
Ellis Ackerman (Math, NCSU), Rodrigo Araujo (Computer Science), and Samantha Miezio (Public Policy) spent ten weeks building tools to help understand the scope, cause, and effects of evictions in Durham County. Using evictions data recorded by the Durham County Sheriff’s Department and demographic data from the American Community Survey, the team investigated relationships between rent and...
Anna Vivian (Physics, Art History) and Vinai Oddiraju (Stats) spent ten weeks working closely with the director of the Durham Neighborhood Compass. Their goal was to produce metrics for things like ambient stress and neighborhood change, to visualize these metrics within the Compass system, and to interface with a variety of community...
Over the course of two, one and a half hour sessions we led students in the Duke Marine Lab Marine Ecology class (Biology 273LA) on a data expedition using the statistical programming environment R. We gave an introduction to big data, the role of big data in ecology, important things...
Graduate Students: Aeran Coughlin and Richard J Wong Sponsoring Faculty: Danae Diaz Undergraduate Course: Biology 290S – 3: “Biology By Design” This data expedition focused on plant communities, ecological data exploration, quantifying diversity, linear and generalized linear models, and ordination. Prior to the data expedition, students collected field data in...
How do people make decisions? Graduate students: Emma Wu Dowd and Jonathan Winkle Faculty instructor: Scott Huettel Course: Psychology 201 To better understand how people make decision with uncertain outcomes, a Duke neuroscience lab collected measures of economic decision making, as well as a variety of self-reported personality measures and general...
Students will curate administrative data to conduct Sequence Analysis (SA), a technique used to analyze patterns in sets of categorical sequences over time. Traditional education reports often rely on cross-sectional data (e.g., proportion of students under economic disadvantage), and in tend to overlook the chronic exposure to disadvantages that longitudinal...
Yuangling (Annie) Wang, a Math/Stats major, and Jason Law, a Math/Econ major, spent ten weeks analyzing message-testing data about the 2015 Marijuana Legalization Initiative in Ohio; the data were provided by Public Opinion Strategies, one of the nation’s leading public opinion research firms. The goal was to understand how statistics and machine learning...
Boning Li (Masters Electrical and Computer Engineering), Ben Brigman (Electrical and Computer Engineering), Gouttham Chandrasekar (Electrical and Computer Engineering), Shamikh Hossain (Computer Science, Economics), and Trishul Nagenalli (Electrical and Computer Engineering, Computer Science) spent ten weeks creating datasets of electricity access indicators that can be used to train a classifier to detect electrified villages. This coming academic year, a Bass...
In ecology and watershed sciences, large datasets often come from a variety of sources like continuous automated sensors, water grab samples, and community-collected scientific data. Overcoming these challenges is critical to explore the prevalence, persistence, and impact of degraded water quality on human society and wildlife. This project exposes students...
Biomedical Engineering major Chi Kim Trinh, and Biostatistics MS student Can Cui spent ten weeks constructing a computational and statistical framework to evaluate the effects of health coaching on Type II Diabetes patients’ quality metrics, including Hemoglobin A1c, blood pressure, eye exam consistency, tobacco use, and prescription adherence to statins, aspirin, and angiotensin converter enzyme (ACE)/...
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