Data+ is a ten-week summer research experience that welcomes Duke undergraduates interested in exploring new data-driven approaches to interdisciplinary challenges.
Students join small project teams, collaborating 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. In Summer 2019 there were 30 such teams, and they all worked together in Gross Hall, sitting in a dedicated workspace provided by the Rhodes Information Initiative at Duke (iiD), the Social Science Research Institute (SSRI), and the Energy Initiative. In Summer 2020, there were 29 teams, and the experience was necessarily virtual. There is clearly a chance that we will be virtual again in Summer 2021, but we will not know this until later in the year.
Each undergraduate participant receives a $5,000 stipend. Each summer, Data+ runs from late-May until the first few days of August. As the communal atmosphere is essential for student success, please note that Data+ projects only run during these ten weeks, and that all student participants are required to contribute full-time efforts (no employment, no other classes).
For the Data+ summer 2021 program, we are especially interested in proposals that involve a partner from outside the academy, or a faculty member from a different discipline. We also encourage proposals that involve previously untested ideas or un-analyzed datasets, and we hope that the Data+ team can make a contribution with important proof-of-principle work that may lead to more substantial faculty work and/or connections in the future. We also welcome proposals that will lead to the undergraduates creating tools that might be used in the classroom or that might facilitate community engagement with data and data-driven questions. Finally, we are particularly excited about projects that foster links between Duke and Durham City/County/School government and/or community groups, as well as between Duke and North Carolina Central University.
The deadline for completing this application is November 2nd, 2020, 5 pm.
To learn more, please visit: https://bigdata.duke.edu/data