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5 Reflections
Pages 31-36

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From page 31...
... The proposed Data Science Oath highlights aspects of data ethics and the value of incorporating societal impact as part of data science education. SUMMARY OF PRELIMINARY COMMITTEE FINDINGS AND OPEN QUESTIONS At the midpoint of its study, the committee finds that it is important that data science education incorporate real data, broad impact applications, commonly deployed methods, and ethical considerations, as well as provide support for work in teams.
From page 32...
... This requires exposure to key concepts in data science, real-world data and problems that can reinforce the limitations of tools, and ethical considerations that permeate many applications. Key concepts related to developing data acumen include the following: ● Mathematical foundations, ● Computational thinking, ● Statistical thinking, ● Data management, 32
From page 33...
... ● How can students gain access to real-world data sets? Finding 2.3: Incorporating ethics into an undergraduate data science program provides students with valuable skills that can be applied to complex, human-centered questions across disciplines.
From page 34...
... ● What strategies to recruit and retain diverse students can data science programs deploy, and what examples can inform these efforts? Finding 4.2: Partnerships between 2- and 4-year institutions provide a valuable opportunity to develop innovative curricula, reach more diverse student populations, and expand the reach of data science education.
From page 35...
... INPUT NEEDED The committee seeks input from the growing data science community and the public on the following topics: ● Additional content for its study, including but not limited to case studies from institutions providing data science education, innovative ways to bring researchers together, best practices for program evaluation, and ideas for future topical webinars; ● The proposed Data Science Oath outlined at the beginning of this chapter; and ● The questions posed in the previous section. Please visit the following webpage to provide input: http://www.nas.edu/EnvisioningDS.


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