Data+ is a full-time ten week summer research experience that welcomes Duke undergraduate and masters students interested in exploring new data-driven approaches to interdisciplinary challenges. It is suitable for students from all class years and from all majors.
Current Opportunities
Past Opportunities
Data science is having a significant impact in medicine and health. It is anticipated that the clinical delivery of care is going to be significantly impacted (“disrupted”) by advances in machine learning and artificial intelligence as applied to medicine. This program offers Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine.
The Duke Clinical Research Institute (DCRI), in partnership with Duke Forge (Duke's center for health data science), is now accepting applications for the Health Data Science Internship Program. Duke students who are pursuing a master’s degree in Statistical Science, Biostatistics & Bioinformatics, Electrical & Computer Engineering, Computer Science, Mathematics, Economics, Computational Biology & Bioinformatics, or other quantitative fields and are scheduled to graduate in spring of 2020 or later are invited to apply.
Data+ is a 10-week summer research experience that welcomes Duke undergraduates interested in exploring new data-driven approaches to interdisciplinary challenges. Students join small project teams, collaborating with other teams in a communal environment. They learn how to marshal, analyze, and visualize data, while gaining broad exposure to the modern world of data science.
Bass Connections creates opportunities for graduate and undergraduate students to work alongside faculty to explore societal challenges through interdisciplinary research teams. The Bass Connections Student Research Award provides funds of up to $3,000 (for one to two students) or $5,000 (for groups of more than two students) to support student-directed research projects...
ASA DataFestTM is a data analysis competition where teams of up to five students attack a large, complex, and surprise dataset over a weekend. Your job is to represent your school by finding and communicating insights into these data. The teams that impress the judges will win prizes as well as glory for their school. Everyone will have a great experience, lots of food, and fun!
Duke Forge is seeking applications for its Summer 2019 Health Data Science Communications Internship Program. Undergraduate and graduate-level students who have a demonstrated interest in and facility with internet research, web design, health data, science communication, fact-checking, and/or quantitative science are invited to apply.
This mini-class will introduce the student to machine learning methods that have become increasingly useful in practice, specifically deep learning and neural networks. Application areas include image and text analysis. This will not be a traditional class with a priori and regular scheduled class times. Rather, over the course of the semester, students participating in this class will be required to attend at least 5 two-hour in-person learning experiences (IPLEs) provided by the Duke +DS program.
Duke's annual datathon. Attack a dataset and come up with an analysis and visualization while racing against the clock. Top teams will win prizes, and all students will have the opportunity to interact with industry and academic sponsors.
Using computers to generate art promotes deeper understanding of the ways that artificial intelligence (AI) is changing the visual and media-based world around us, and provokes inquiry into the endeavor and humanity behind creativity. In this spirit, +DS is excited to announce the second annual Duke AI for Art Competition.
Code+ is a 10-week project-based summer program for Duke undergraduate students. The program offers students the opportunity to participate on a small project team where everyone works towards a common goal while sharing their knowledge and learning from IT professionals and faculty.
New Spring 2020 Class Offering Training in AI to All Duke Students: This class will introduce the student to machine learning (ML) and artificial intelligence (AI) methods that have become increasingly useful in practice, specifically deep learning and neural networks. Application areas include image analysis, text analysis, and optimal decision making. This class is directed to any Duke student, independent of major, who is interested in learning the basics of ML and AI.
This year’s Duke Research Computing Symposium will include the (now traditional) gala poster competition. Like last year, the session will be associated with the scintillating talks to take place the afternoon of February 5, 2020 in the Penn Pavilion on Duke’s West Campus. This year, the scope has widened, since the symposium and the poster session are open to our colleagues at North Carolina Central University (NCCU) and the University of North Carolina at Chapel Hill (UNC-CH).
+DS program team members Matthew Kenney, Ricardo Henao, and Shelley Rusincovitch are project sponsors for the summer 2020 Story+ project "Critical Decisions: Perceptions of AI in Healthcare Management."
Story+ is a 6-week paid summer research experience for Duke students—undergraduates and graduates—interested in exploring humanities research approaches (archival research, oral histories, narrative analysis, visual analysis, and more).
Data+ is a full-time ten week summer research experience that welcomes Duke undergraduate and masters students interested in exploring new data-driven approaches to interdisciplinary challenges. It is suitable for students from all class years and from all majors.
CS+ is a ten week summer program for Duke undergrads to get involved in computer science research projects with faculty in a fast-paced but supportive community environment. Students participate in teams of 3-4 and are jointly mentored by a faculty project lead and a graduate student mentor.
Duke Forge is seeking applications for its Summer 2020 Health Data Science Communications Internship Program. Undergraduate and graduate-level students from the NC Triangle area with strong writing/editorial skills and a background or interest in science communication, medicine, population health, health policy, social sciences, computer science, machine learning, and/or statistics are invited to apply.
ASA DataFestTM is a data analysis competition where teams of up to five students attack a large, complex, and surprise dataset over a weekend. Your job is to represent your school by finding and communicating insights into these data. The teams that impress the judges will win prizes as well as glory for their school. Everyone will have a great experience, lots of food, and fun!
ASA DataFest 2020 will take place at Duke over the April 3 - 5 weekend. Sign up by March 19, 2020 at 11:59p!
The Children’s Health and Discovery Initiative (CHDI) Summer Internship Program is a multidisciplinary experience designed for rising juniors and seniors attending Duke University who are interested in conducting research focused on improving child health and identifying pediatric origins of disease.
The Margolis Scholars program is a prestigious program for Duke University students that demonstrate strong interest in and commitment to a career in health policy and management, as well as leadership potential to improve health policy. Named in honor of Robert Margolis, M.D., the founder of Duke-Margolis and a pioneer of innovative integrated care delivery models, the Margolis Scholars program provides promising students with the necessary knowledge, skills, and abilities to be the next generation of health care leaders.
Muser provides Duke students with regularly-scheduled, clearly articulated, and equitable access to research opportunities across all fields. Muser Spring Round for Fall 2020 projects is now underway: for students, Thursday, March 26 at 8:00am is the first day to apply for projects, and Thursday, April 2 at 11:59pm is the last day to apply for projects.
The Duke University Department of Statistical Science and the Duke AI Health Institute are co-sponsoring the ASA Datafest: COVID-19 Virtual Data Challenge. For this contest, student will work in teams to seek out publicly available data sources that enable them to explore the societal impacts of the COVID-19 pandemic other than those directly related to health outcomes. Contest submissions will be due on April 22, 2020.
The +DS summer research program in 2020 will be a 6-week full-time experience held from May 13–June 26. Due to safety measures in response to COVID-19, the 2020 program will be held remotely and there will be no in-person or campus-based activity for students.
Muser provides Duke students with regularly-scheduled, clearly articulated, and equitable access to research opportunities across all fields. Muser Round for Summer 2020 projects is now underway. For students, Friday, April 24 at 8:00am is the first day to apply for projects, and Friday, May 1 at 11:59pm is the last day to apply for projects.
The Duke University Office of the Provost is offering a broad set of opportunities to support Ph.D. students during Summer 2020. A limited number of experiential fellowships with external organizations are available by application. The partner organizations will offer internship experiences for Ph.D. students with funding provided by Duke University. Duke is also offering internships and research assistant opportunities.
The +DS Fall 2020 Virtual Research Program is designed to allow students who have previously completed the +DS curriculum to continue their engagement with substantive applied projects. The +DS Advanced Projects in Health Data Science offer Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. The students will work in teams, mentored by leading Duke faculty involved in data science research, with guidance by practicing clinicians.
“AI for Everyone” will be offered in fall semester 2020 in an online format. The goal of this course is to provide an applied introduction to current techniques in machine learning and how they can be used to make sense of large amounts of data, while allowing students to focus on how machine learning is impacting their discipline of study. Registration is currently open to both undergraduates and graduate students.
The Durham Department of Veterans Affairs (VA) is now accepting applications for its Big Data Training Enhancement Program (BD-STEP), a 1-2 year postdoctoral training opportunity offered through the National Cancer Institute (NCI) and the Veterans Health Administration (VHA) to enhance experience while addressing oncology-related research questions relevant to Veterans using the U.S. VA’s extensive real-world clinical oncology data.
The goal of this Online project is to implement artificial intelligence algorithms directly into the hardware of an integrated circuit, so that these circuits can perform image reconstruction and pattern recognition in a much shorter time than computer software. The long-term goal is to deploy such integrated circuits in particle physics experiments at the Large Hadron Collider (LHC) at CERN, where the Higgs boson was discovered in 2012.
Overview
Data+ is a ten-week summer research experience that welcomes Duke under- graduates interested in exploring new data-driven approaches to interdisciplinary challenges.
The goal of the Office of Science Graduate Student Research (SCGSR) program is to prepare graduate students for science, technology, engineering, or mathematics (STEM) careers critically important to the DOE Office of Science mission, by providing graduate thesis research opportunities at DOE laboratories. The SCGSR program provides supplemental awards to outstanding U.S. graduate students to pursue part of their graduate thesis research at a DOE laboratory/facility in areas that address scientific challenges central to the Office of Science mission.
Dr. ElMallah’s lab is focused on the control of breathing and pulmonary mechanics in murine models of several genetic diseases, including Pompe disease and Duchenne Muscular Dystrophy. We evaluate the efficacy of adeno-associated viral-mediated gene therapy and neuromodulation to correct the respiratory insufficiency that results from these neuromuscular disorders. Specific functions we test are whole body plethysmography (respiration) and neurophysiology, which measure the muscular and neurological inputs that enable breathing.
In research and clinical applications such as transcranial magnetic stimulation, brain machine interface, and closed-loop neural stimulation there is increasing need to record brain signals (electroencephalography, local field potentials, single neuron spiking) immediately after electric or magnetic stimulation of the brain. However, the electromagnetic artifact corrupts the neural recording after the stimulus pulses.
It is well-known that the United States incarcerates more people per capita than any other nation. In addition, inmates in the US are disproportionately drawn from communities of color. I am undertaking a study that aims to understand the historical political roots of mass incarceration by race in the US, including the way in which the funding of police has contributed. To do so, I am collecting and analyzing new individual-level data on the race, criminal conviction, sentence length, and geographic location of newly admitted prisoners since the 1950s. I am looking for students interest
Transcranial magnetic stimulation (TMS) is a noninvasive method for modulating brain function. It is used widely in brain research and is FDA cleared for the treatment of several psychiatric and neurological disorders. Unlike drugs, TMS can be targeted to specific regions of the patients’ brain. Doing this accurately, however, requires expensive and uncomfortable systems for navigation of the TMS coil (“neuronavigation”).
Currently, naturalistic or drug-induced behaviors in mice have to be coded by hand. The goal of this project is to use SLEAP (https://sleap.ai/) and to score certain behaviors in mice, for which we already have live video recordings. If successful, we may move to a 3-dimensional AI program. The project will be overseen by two faculty, one experienced with rodent behavior and the other with writing/using AI programs. The project can be accomplished virtually. This can be an individual project.
The recent growth of energy-related data and evolution of data science techniques have created promising new opportunities for solving energy challenges. Capitalizing on these will require scholars with training in both data science and energy application domains. Yet traditional graduate education is limited in its ability to provide such dual expertise. In 2018, the Duke University Energy Initiative established the Energy Data Analytics Ph.D.
The URS Remote Winter IDEA Grant is a special grant offered during Winter 2020 Break to promote exploration of a research idea or help defray the costs of an ongoing research project. To be considered for an IDEA grant, students must submit an application no later than December 15, 2020, be enrolled in undergraduate courses for spring 2021, and be able to provide a brief recommendation from staff or faculty affiliated with Duke. It is not necessary for the recommendation to come from a formal mentor within the student’s current major.
The program is designed to allow students who have previously completed the +DS curriculum to continue their engagement with substantive applied projects. The +DS Advanced Projects in Health Data Science offer Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. The students will work in teams, mentored by leading Duke faculty involved in data science research, with guidance by practicing clinicians.
Duke-Margolis addresses critical health policy challenges with innovative, evidence-based solutions to improve health and the value of health care. Our interdisciplinary approach brings students and faculty from Duke’s schools of medicine, nursing, law, public policy, business, and engineering together with policy experts, researchers, and health care professionals across the country to work together on focused projects that make a difference.