Data+

Call for Proposals for 2025

Learn more about submitting a proposal for a Data+ project:

Data+ 2025 Proposal Information

Data+Data+ is a full-time 10-week summer research experience that welcomes 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.

Students join small project teams (at most 3 undergrads and 1 master’s student per team), working alongside 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. The projects come from an extremely diverse set of subject areas. It is our hope that students will be able to both work deeply into their specific project and get a very broad picture of most of the skills needed for modern data science.

Participants will receive a $5,000 stipend, out of which they must arrange their own housing and travel. Funding and infrastructure support are provided by a wide range of departments, schools, and initiatives from across Duke University, as well as by outside industry and community partners.

Data+ has returned to 100% in-person participation. Participants may not accept employment or take classes during the program; this requirement is strictly enforced and non-negotiable.

Due to the nature of the data involved in some of the projects, human subjects research training will be required of all participants and will be provided after admission to the program. With each project, we have attempted to list potential majors and/or interests that might be most interested in the project, but these should not be seen as requirements in any way! Quantitative STEM majors like mathematics, computer science, statistics, and electrical engineering are relevant to all.

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From Our Data+ Students

I have gained the needed perspective of how to combine a social science/humanities topic with computational methodologies. I believe this interdisciplinary perspective is very much important and needed in these years, and I hope this program could be offered more to help students gain this very applicable and malleable experience. I would recommend other people, regardless of their background, to participate in Data+.

Zhihui Zhou, ’27
Ethical Consumption Before Capitalism

I feel more comfortable discussing work with a client and tailoring my project to meet their expectations. I also learned to work collaboratively in groups and to present my findings to an audience at a comprehensible level. I now understand that research is needed even for publicly available data because of the technical knowledge needed to understand the results. I will no longer assume that just because records are open to the general public that they are truly accessible.

Anonymous

Coming into data science research, I had no clue about what it even was. The Data+ program taught me that it requires a great deal of patience, teamwork, and a strong foundation of knowledge. Participating in the program enriched my skills in teamwork and patience, while also deepening my expertise in Python, specifically with TensorFlow, Keras, PyTorch, and MNE. I honed my general coding abilities, developed proficiency in creating graphs using Matplotlib, and gained a thorough understanding of the data research process. I am very grateful for Data+, my colleagues, and all the knowledge I gained.

Darrick Zhang, ‘27
Exploring novel machine learning techniques for Brain Computer Interface (BCI) applications

I think I gained incredible professional skills on how to conduct myself in an internship-like experience within a team project. I also learned so many technical skills. The emphasis really seemed to be on growth rather than producing a deliverable, which made this perfect for my first summer at Duke!

Manahil Tariq, ‘27
MISTRAL: Dynamic data analysis of security threats within research environments

I have gained a lot of technical experience and feel I am better equipped to talk about my project and what I learned from it in the interview process for future internships.

Carlie Scheer, '27
Analyzing Basketball Plays Using Computer Vision

The Data+ program has reshaped my perception of data science research by highlighting the importance of collaboration, communication, and problem-solving within a team. Working on real-world projects showed me that while the work might be about numbers and algorithms for us, it can be life-changing for those impacted. [...] Additionally, I’ve gained valuable industry insights through required talks and sessions, learned best practices from mentors, and expanded my professional network. All these experiences have greatly boosted my career prospects in data science.

Samundra Adhikari, Berea College, ‘27
Energy transition during energy crisis: Cape Town's experience

Participating in the Data+ program has been an incredibly enriching experience, especially in terms of teamwork. Being part of a multidisciplinary team allowed me to gain insights from different perspectives. [...] The Ethics in Research course taken prior to the program highlighted the importance of data privacy, informed consent, and bias mitigation, and made me more aware of the ethical responsibilities involved. This experience underscored the need for integrity and ethical standards in all aspects of data science.

Ofosu Osei, MIDS
Mastery Learning Data to Predict Course Performance

I gained a lot of knowledge about working in data science and what is involved with gathering more accurate data. I enjoyed collaborating with other students within different majors to reach our goal of putting together a website with a focus on education.

Ocir Black, '27
Mapping the Rosenwald Schools and their Impact on the Black Belt Region of North Carolina

First research experience - learned coding languages like Javascript, HTML, MYSQL, Flask in Python.

Anonymous

Data+ by the Numbers

weeks during the summer

undergraduates per team

grad student mentors per team

projects sharing ideas and code

Data+ Projects

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