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.
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.
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.
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.
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).