Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles

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Bibliographic Details
Main Author: Shivani Agarwal
Format: Article
Language:English
Published: The MIT Press 2021-03-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/99608f92.a134847a
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author Shivani Agarwal
author_facet Shivani Agarwal
author_sort Shivani Agarwal
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publisher The MIT Press
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series Harvard Data Science Review
spelling doaj-art-101b77369fff4f3c96df3376074ac7ab2025-08-20T02:21:43ZengThe MIT PressHarvard Data Science Review2644-23532021-03-0110.1162/99608f92.a134847aTraining and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary PrinciplesShivani Agarwalhttp://dx.doi.org/10.1162/99608f92.a134847a
spellingShingle Shivani Agarwal
Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles
Harvard Data Science Review
title Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles
title_full Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles
title_fullStr Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles
title_full_unstemmed Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles
title_short Training and Funding Pipelines for Data Science: the Need for a Common Core of Transdisciplinary Principles
title_sort training and funding pipelines for data science the need for a common core of transdisciplinary principles
url http://dx.doi.org/10.1162/99608f92.a134847a
work_keys_str_mv AT shivaniagarwal trainingandfundingpipelinesfordatasciencetheneedforacommoncoreoftransdisciplinaryprinciples