Explore New Data-driven Approaches to Interdisciplinary Challenges with Data+
January 29, 2019
Interested in exploring new data-driven approaches to interdisciplinary challenges?
Student applications are now open for this summer’s Data+ research program. The application deadline is February 25, but applications will be evaluated on a rolling basis, so students should apply as soon as possible.
Data+ is a ten-week summer research experience for undergraduates and master’s students. Students join small teams and learn how to marshal, analyze and visualize data, while gaining broad exposure to the field of data science. In 2019, the program will run from May 28 through August 3.
Data+ is offered through the Rhodes Information Initiative at Duke and is part of the Bass Connections Information, Society & Culture theme.
How to Apply
Students can apply for project teams using the Data+ Application Portal. Students may apply to up to three project teams, ranked in order of preference, and must submit the following items to complete their application:
- Cover letter
- Curriculum Vitae
- Transcript (unofficial copy is fine)
- One paragraph (per project chosen) about how you can contribute to the project
- Two references (no actual letters, just names and email addresses)
How Data+ Works
Participants receive a $5,000 stipend for this full-time research experience, out of which they must arrange their own housing and travel. Participants may not accept employment or take classes during the program; this requirement is strictly enforced and nonnegotiable. The program is open to students at all levels and from all majors. Past students have come from a variety of backgrounds, majors and levels of experience with coding. Through collaboration, all students learn to use data analysis to solve problems across disciplines.
Each team is made up of two to three undergraduates (and occasionally one master’s student) and one to two doctoral student mentors, in addition to a client or sponsor. Teams work alongside each other in a communal environment, learning from each other.
Past Data+ teams have investigated economic and demographic data to consider how downtown Durham’s revitalization is affecting residents; created interactive crash maps using pedestrian, bicycle and motor vehicle data to make Durham’s streets safer; developed an e-advisor app that recommends co-curricular opportunities to Duke students based on their interests; collaborated with Duke’s Office of Information Technology to build detailed maps of wireless coverage, strength and utilization across campus; and more.
Explore the 2019 Data+ Projects
- American Predatory Lending and the Global Financial Crisis
- Basketball Analytics Pipeline: From Raw Video to Dynamic Visualization
- Big Data for Reproductive Health
- Breaking the Bundle: Analyzing Duke’s Journal Subscriptions
- Data-driven Approaches to Illuminate the Responses of Lakes to Multiple Stressors
- Detecting and Predicting Impacts of Saltwater Intrusion on Coastal Ecosystems
- Duke Building Energy Use Report
- Durham Evictions
- Getting Granular on Social Determinants of Health
- Human Rights in the Postwar World
- Identifying Extreme Events in Wholesale Energy Markets
- Investigating Oil and Gas Production in the United Kingdom
- Invisible Adaptations: From Hamlet to the Avengers
- Network Visualization of IoT Devices
- Neuroscience in the Courtroom
- On the Shelf: Exploring Oil and Gas Production in the Gulf of Mexico
- Optimizing Risk Assessment for Duke University Student Athlete Injury Prevention
- Recidivism in Durham County Jails
- Remembering the Middle Passage
- Security Threat Intelligence Analytics
- Smart Meters and Real-time Electricity Consumption Monitoring Algorithms to Reduce Electricity Theft in Developing Countries
- Speech Emotion Analysis
- StreamPulse: From Streaming Data to Streaming Insights
- Urodynamic Data and Machine Learning
- U.S. Ambivalence about Making Profits
- Visualizing the Nation’s Water Quality Data
- A Wider Lens on Energy: Adapting Deep Learning Techniques to Inform Energy Access Decisions