A team of students under Biomedical Engineering professor Megan Madonna will explore the connection between young students’ sense of belonging in a community and their ability and motivation to solve hard problems related to their community. We are interested in studying who and why people become and remain engineers. The...
A team of student researchers will collaborate with the Southeast Regional Coalition for University-Assisted Community Schools (SRCUACS) and the North Carolina Community Schools Coalition (NCCSC) to examine how statewide policies have impacted funding for public schools throughout history. The team will create a dashboard to illustrate the correlation between per-pupil funding and enrollment and...
Accurate forecasting of weather variables -including humidity, temperature, dew point, cloud cover, and wind speed and direction- is critical for improving predictions of both renewable energy generation and electricity demand, and for managing emerging challenges associated with the rapid growth of data centers energy needs. In this project, we analyze...
With the significant international consequences of recent outbreaks, the ITP Lab conducted extensive stakeholder interviews and macro-level health policy analysis to expose gaps in pandemic preparedness and develop legal frameworks for future threats. Project Team Malcolm Nowlin, Public Policy & Chemistry Nora Ghanem, Public Policy & Global Health Niveen Hennein, Public Policy &...
Anna Yanchenko and Sayan Mukherjee Algorithmic composition of music has a long history and with the development of powerful deep learning methods, there has recently been increased interest in exploring algorithms and models to create art. We explore the utility of Hidden Markov Models in composing classical piano pieces from...
Over ten weeks, BME and ECE majors Serge Assaad and Mark Chen joined forces with Mechanical Engineering Masters student Guangshen Ma to automate the diagnosis of vascular anomalies from Doppler Ultrasound data, with goals of improving diagnostic accuracy and reducing physician time spent on simple diagnoses. They worked closely with Duke Surgeon Dr. Leila Mureebe and Civil and Environmental Engineering Professor Wilkins Aquino....
A team of students led by researchers in the Division of Marine Science and Conservation within the Nicholas School of the Environment will explore environmental data collected at North Carolina oyster farms in combination with oyster RNA sequencing data. This project will enhance environmental data and biological samples collected by...
Duke undergraduate students interested in global health or data science along with Drs. Thuy Le and Tom Carpino from the Duke School of Medicine and Duke Global Health Institute, and a group of investigators from the Kilimanjaro Christian Medical Centre in Moshi, Tanzania, will investigate how real-world climate factors impact...
Graduate student: Hamza Ghadyali Faculty instructor: Dr. Paul Bendich Course: MATH 412 – Topology with Applications Highlights of Data Expedition Students explored daily observations of local climate data spanning the past 35 years. Topological Data Analysis, or TDA for short, provides cutting-edge tools for studying the geometry of data in arbitrarily high...
Alec Ashforth (Economics/Math), Brooke Keene (Electrical & Computer Engineering), Vincent Liu (Electrical & Computer Engineering), and Dezmanique Martin (Computer Science) spent ten weeks helping Duke’s Office of Information Technology explore the development of an “e-advisor” app that recommends co-curricular opportunities to students based on a variety of factors. The team used collaborative and content-based filtering to create a recommender-system...
Over ten weeks, Math/CompSci majors Benjamin Chesnut and Frederick Xu joined forces with International Comparative Studies major Katharyn Loweth to understand the myriad academic pathways traveled by undergraduate students at Duke. They focused on data from Mathematics and the Duke Global Health Institute, and worked closely with departmental leadership from both areas. Project Results: The team created...
Samantha Garland (Computer Science), Grant Kim (Computer Science, Electrical & Computer Engineering), and Preethi Seshadri (Data Science) spent ten weeks exploring factors that influence patient choices when faced with intermediate-stage prostate cancer diagnoses. They used topic modeling in an analysis of a large collection of clinical appointment transcripts. Executive Summary (PDF) Disciplines Involved: Economics, PreHealth/PreMed, Biology,...
Nonnegative matrix factorization (NMF) has an established reputation as a useful data analysis technique in numerous applications. However, its usage in practical situations is undergoing challenges in recent years.The fundamental factor to this is the increasingly growing size of the datasets available and needed in the information sciences. To address...
In this project, we aim to solve the compressive sensing (CS) hyperspectral / video image reconstruction problem. The propose algorithm is robust to different initializations. This is useful for CS reconstruction problems where the suitable training datasets are not available. Compressive sensing of signals governed by a Gaussian mixture model (GMM) admits...
Mapping History has focused on the categorizing, labelling, digitization, and 3D reconstruction of 16th & 17th century maps & atlases of London and Lisbon. Over the course of the summer, the Mapping History team has developed its own unique analytical dataset by painstakingly labelling every element contained within these maps, used python...
This project is a collaboration of researchers from the Rhodes Information Initiative and a team located at Tel-Aviv University. The team tackles various questions regarding literacy in the ancient kingdoms of Judah and Israel of the First Temple period (Iron Age) through a computational analysis of handwritten documents. We have...
Our project is about building a food recommendation system for Avoidant/Reactive Intake Disorder (ARFID) patients and understanding the relationship between ARFID and clinical variables. Our stakeholders include young picky eaters and their parents, as well as clinicians who work with ARFID patients. We created an interactive visualization for ARFID patients...
The goal of this project is take a large amount of data from the Massive Open Online Courses offered by Duke professors, and produce from it a coherent and compelling data analysis challenge that might then be used for a Duke or nation-wide data analysis competition. We hope to select...
After London was destroyed during the Great Fire of 1666, it was reconstructed into the “emerald gem of Europe,” a utopian epicenter focused on England’s political and economic interests. For whom was the utopia constructed? Who determined its architectural choices? And what did such a utopia look like in seventeenth-century...
Maksym Kosachevskyy (Economics) and Jaehyun Yoo (Statistics/Economics) spent ten weeks understanding temporal patterns in the used construction machinery market and investigating the relationship between these patterns and macroeconomic trends. They worked closely with a large dataset provided by MachineryTrader.com, and discussed their findings with analytics professionals from a leading asset management firm. Click...
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