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unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic
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data that are generated by human activity, including computational social science (e.g., algorithmic accountability and the interplay of data science with policy, law, and institutions), the economics
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probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing the interactions among urban infrastructure and environment networks
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