Our program is designed to foster cross-pollination by bringing together two distinct groups to learn about data science research and pedagogy: high school teachers and undergraduate students. Each cohort will have six high school teachers and six undergraduate students, divided into three mixed-group teams that will work on a data science research project and on developing data science curricula. Before the program begins, participants will have access to a self-paced Python training module to prepare for the summer research. During the first week of the program, trainees will listen to interdisciplinary experts working on different research problems that connect to the projects of the summer. For most weeks of the program, teams will receive relevant readings and training, check in with mentors and graduate students, work on their projects, and present their progress to other participants. During the final week of the summer program, trainees will focus on how they can use their work to develop teaching modules and present their research. In the fall, participants will meet online monthly so the high school teachers can work on data science module design and classroom implementation discussions, and the undergraduates can work on creating research briefs to be published online.
Data Science,
Participants must be US citizens or permanent residents (per NSF requirements). Teachers: For year 1 of the program, only high school teachers in the Washington-DC Metropolitan area are eligible to apply. Undergraduates: Current sophomores and juniors who are majoring in computer science, data science, engineering, mathematics, statistics, or related fields are encouraged to apply. Undergraduate applicants are not limited to the DC area.
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