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...
Duke has a new Chief Engagement Officer, a Double Dukie, who is passionate about advancing and optimizing alumni engagement, involvement, and experience. With a private sector performance marketing and media background, she hopes to lead a team of students, in collaboration with Professor Shep Moyle (a Duke alum, former Duke...
Building off the work of a 2016 Data+ team, Yu Chen (Economics), Peter Hase (Statistics), and Ziwei Zhao (Mathematics), spent ten weeks working closely with analytical leadership at Duke’s Office of University Development. The project goal was to identify distinguishing characteristics of major alumni donors and to model their lifetime giving behavior. Project Results: Working with a large data set...
Alexa Goble (Finance) joined Econ majors Chavez Cheong and Eli Levine in a ten-week exploration of mortgage enforcement actions related to the financial crisis from earlier in this century. Using NLP techniques on mortgage data from Ohio and Massachusetts, the team validated a new experimental approach to understanding the dynamics...
Jett Hollister (Mechanical Engineering) and Lexx Pino (Computer Science, Math) joined Economics majors Shengxi Hao and Cameron Polo in a ten week study of the late 2000s housing bubble. The team scraped, merged, and analyzed a variety of datasets to investigate different proposed causes of the bubble. They also created interactive visualizations of their data which will...
Carrying forward the work of a 2019-20 Bass Connections team, our Data+ team has worked to better understand the state of the home mortgage market leading up to the financial crisis. The team has built a more in-depth analysis of North Carolina to understand its different regions. We have also...
Large-scale databases from the social, behavioral, and economic sciences offer enormous potential benefits to society. However, as most stewards of social science data are acutely aware, wide-scale dissemination of such data can result in unintended disclosures of data subjects’ identities and sensitive attributes, thereby violating promises–and in some instances laws to protect...
Natalie Bui (Math/Economics), David Cheng (Electrical & Computer Engineering), and Cathy Lee (Statistics) spent ten weeks helping the Prospect Management and Analytics office of Duke Development understand how a variety of analytic techniques might enhance their workflow. The team used topic modeling and named entity recognition to develop a pipeline that clusters potential prospects into useful categories....
Over ten weeks, Public Policy major Amy Jiang and Mathematics and Computer Science major Kelly Zhang joined forces with Economics Masters student Amirhossein Khoshro to investigate academic hiring patterns across American universities, as well as analyzing the educational background of faculty. They worked closely with Academic Analytics, a provider of data and solutions for universities in the U.S....
Alzheimer’s alters brain connectivity beyond local regions. Understanding necessitates a shift from dyadic to higher-order relations naturally expressed in the language of algebraic topology. Led by professors of Computer Science and Neurology, Dr. Tananun Songdechakraiwut, Dr. Michael Lutz, and Dr. Jian Pei, an interdisciplinary team of students will investigate intricate...
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 led by faculty from both Duke and Duke Kunshan will synthesize data from a variety of sources to investigate the social determinants of cancers in local areas, examine the impact of personal behaviors (such as diet, sleeping, exercise, smoking) and community characteristics (such as air/water/soil quality,...
This Data Expedition introduced hypothesis-driven data analysis in R and the concept of circular data, while providing some tools for importing it and analyzing it in R. After exploring a simple dataset to learn these tools, we applied what we learned to two real examples of circular datasets: one testing for magnetoreception in salmon...
Dr. Guillermo Sapiro, professor in Pratt School of Engineering at Duke University, conducts ongoing autism research. Using image processing, he attempts to program a computer to detect whether babies (around eight to 14 months of age) display a sign of autism. This very early detection enables doctors to train these babies (when their brain...
We utilize elements of data science and analysis in order to scour weblogs for potential malicious attacks on Duke’s servers. Additionally, we seek to identify patterns within the data that could be indicative of malicious intent and hope to apply these to real-time data. Project Leads: Phillip Batton, Nick Tripp Project...
Intelligent mobile sensor agent can adapt to heterogeneous environmental conditions, to achieve the optimal performance, such as demining, maneuvering target tracking. The mobile sensor agent is a robot with onboard sensors, and it is deployed to navigate obstacle-populated workspaces subject to sensing objectives. The expected performance of available future measurements is...
This project transforms an inaccessible audio archive of historic North Carolina folk music colllected by Frank Clyde Brown in the 1920s-40s into a vital, publicly accessible digital archive and museum exhibition. Project Team Trudi Abel & Victoria Szabo Louise Mentjes, Laura Williams, Winston Atkins, Craig Breaden Meghan O’Neill & Philip MacDonald Peter Ciporin, Ruochen Hao, Laura...
What drove the prices for paintings in 18th Century Paris? Graduate students: Hilary Cronheim and Sandra van Ginhoven, Duke Art, Law and Markets Initiative-DALMI Faculty instructor: Mine Çetinkaya-Rundel Course: STA112FS Better Living Through Data Science: Exploring/Modeling/Predicting/Understanding What drove the prices for paintings in 18th Century Paris? Auction price data Visual characteristics of...
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,...
Students collaborated 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 analyzed whole exome sequencing...
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