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Envisioning the Data Science Discipline The Undergraduate Perspective: Interim Report (2018) / Chapter Skim
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1 Introduction
Pages 5-9

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From page 5...
... The ability to measure, understand, and react to data can affect scientific discovery, social interaction, political tradition, economic practice, public health, and many other areas. Some data science applications are low risk, such as recommender systems that suggest purchases within an online shopping platform or select advertisements for website visitors.
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From page 6...
... There is much debate over the use and appropriateness of predictive policing -- the use of data science by law enforcement to predict crime before it occurs. There 1 Deep learning is a powerful class of a machine learning methods that explore data representations using supervised, semi-supervised, or unsupervised learning.
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From page 7...
... These field-specific approaches bring about unique distinctions in how data science is taught, which skills are emphasized, which students are served, and which career paths graduates pursue. Other data science educational programs are taking a cross-disciplinary approach -- for example, integrating statistics and computer science concepts into the undergraduate data science degree program.
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From page 8...
... During the first meeting of the committee on December 12-13, 2016, participants discussed possible future directions based on progress with current data science programs; societal implications of the evolving field of data science; ways to expand diversity and inclusion in data science among students, employees, and even topic areas; and perspectives on envisioning the future of data science specifically for undergraduates.
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From page 9...
... A final report will be issued following both workshops and committee deliberations setting forth a vision for undergraduate education in data science. The committee hosted a public webinar on April 25, 2017, and gathered public input and outside perspectives on the topics the committee should discuss throughout the remainder of the study.
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Key Terms

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  • allows data
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  • data representations
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  • systematic data
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  • science courses


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