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Chapter 5 - The Analysis Rubric

from Part II - Applying Data Science

Published online by Cambridge University Press:  29 September 2022

Alfred Z. Spector
Affiliation:
Massachusetts Institute of Technology
Peter Norvig
Affiliation:
Stanford University, California
Chris Wiggins
Affiliation:
Columbia University, New York
Jeannette M. Wing
Affiliation:
Columbia University, New York
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Summary

This chapter uses the learnings from Chapter 4’s examples to create the Analysis Rubric, which consists of seven major considerations for determining data science’s applicability to a proposed application. While these considerations may not be fully understood at a project’s inception, there needs to be a belief that answers will be forthcoming prior to completion. Three of these address requirements-oriented aspects (“For What or Why”) of data science applications, and three address implementation-oriented aspects (“How To”). The seventh addresses legal, societal, and ethical implications (ELSI). Collectively, these considerations, or Analysis Rubric elements, cover the complex trade-offs needed to achieve practical, valuable, legal, and ethical results. The chapter concludes by applying the Analysis Rubric to the previous chapter’s examples.

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Chapter
Information
Data Science in Context
Foundations, Challenges, Opportunities
, pp. 61 - 73
Publisher: Cambridge University Press
Print publication year: 2022

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