Engage with Big Data at Duke

Rhodes Information Initiative at Duke brings disciplines together to unlock the potential of big data.

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

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, ā€™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,Ā ā€˜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, ā€˜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, Iā€™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, ā€˜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

News

Events

2024-25 Duke Society for Women in Science lunch series

Learn more about this monthly lunch series for 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 inĀ condemning all acts of sexual misconduct and harassment in statistics and data science, and in working to eliminate them from our professions.

Robert Calderbank, Director
Lisa Kiester, Deputy Director
James Moody, Deputy Director