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This training program consists of a two-way bridge for training students from the human-centered sciences (Economics, Linguistics, Political Science, Psychology, Neurobiology and Behavior, and Sociology) in computer and data science coursework, as well as to train data science students (Computer Science and Applied Mathematics & Statistics) on how to address human-centered problems.

PhD students from both the human-centered science departments and the data science departments will have their choice of course track. The Focus of Artificial Intelligence is open to any human-centered science student or Applied Math & Statistics student. The Advanced Graduate Certificate in Human-Centered Data Science is open to both data science and human-centered science trainees. 

All trainees are expected to participate in at least 2 years of Research Practica (0-3 credits), where trainees and faculty across disciplines will collaborate on convergent data science research projects pertaining to bias in data, humans, and institutions. 

The ideal time to become a funded trainee is around the time you advance to candidacy (the year before you advance, or the year just afterward).  This is because you need to succeed in your primary PhD program as well as in your NRT-related activities. 

Applications for non-funded traineeship, Bias-NRT Fellowship (NSF Funding), and travel awards, can be found under the Resources tab.