Engage with Data and Computational Science at Duke

Rhodes Information Initiative at Duke brings disciplines together to unlock the potential of computation, machine learning, data science, and modeling in a world awash with data and computational resources.

+Programs Information Fair

January 15, 2026
1:30 – 3:30 PM
Gross Hall Energy Hub

Data+ 2026 projects will be posted in January along with the 2026 application.

Rhodes iiD Mission

Unprecedented access to data and to computing is transforming our world and iiD aims to equip Duke to play a leading role.

We work with Departments and Schools to transform data science education at Duke, to develop a large and vibrant data science community with Duke at the center, and to develop a broader base of high visibility interdisciplinary research.

From Our Data+ Students

Our team got to pick things we were interested in with a Sanford dataset containing four cohorts of high school students all over North Carolina public and charter schools. We had longitudinal student data so we could track the same students over several years. My research question was, How did Covid-19 affect students’ GPA and standardized test trajectories? I gained a lot of technical skills and did time-consuming data cleaning, which was worth it.

Adam Cartwright
Educational Trajectories in North Carolina

I’ve learned skills in data collection, analysis, reporting, and visualization – all of which will serve me in any future research and my career. I also appreciated working in a team, the support from our project manager, and working to overcome obstacles together.

Josefina Masjuan
Building Stronger Communities: The Evolution of Funding in North Carolina Public Education

I gained a lot from my Data+ experience. I learned how to work on the fly. How to work with students that are much different from myself with different upbringings and scientific backgrounds. I also learned how to stay resilient in the face of tragedy, adversity and a busy schedule to still get things done and get something meaningful out of the Data + experience. I think I doubted how much of a full and immersive experience it (Data +) would actually be. I was pleasantly surprised to find that, if given the right group and the correct project this experience could be just as meaningful as any summer internship or research opportunity at a company or even more so.

Uzo Uwazurike
Predicting microbial growth to understand biological resilience 2025

I find AI very interesting. When you work in this field you must get very deep, and I got a lot out of this project.

Yasir Alhasaniyyah (KAUST)
AI-Powered Discovery of Counterexamples in Discrete Mathematics

Data+ made me realize how diverse data science work can be. Initially, I thought my project will be given a dataset and do certain analysis using regression models. But it turned out to be a project democratizing data analysis to biologists using a webapp, which involves a lot of front-end coding that I was not expecting. Through this I learned a lot about different aspects of the field.

James Peng
Predicting microbial growth to understand biological resilience 2025

I gained valuable experience tackling real-world data science and machine learning challenges faced by companies in the industry. My project gave me exposure to both the technical and business sides of the work. I also had the opportunity to collaborate with a great team and build meaningful connections.

Anonymous

Data+ by the Numbers

weeks during the summer

undergraduates per team

grad student mentors per team

projects sharing ideas and code

News

Climate+ Annual Report 2025

Climate+ brings together undergraduate and graduate students for a 10-week research experience focused on...

Events

2024-25 Duke Society for Women in Science lunch series

Learn more about this lunch series promoting fellowship and scientific connection among female-identified scientists at Duke.

iiD in Action

Sexual Harassment Has No Place in Statistics & Data Science

We join our colleagues in the Department of Statistical Science in condemning all acts of sexual misconduct and harassment in statistics and data science, and in working to eliminate them from our professions.

Jonathan Mattingly, Interim Director
Nick Eubank, Deputy Director
Lisa Kiester, Deputy Director