Data Science in Context: Foundations, Challenges, Opportunities

Data Science in Context: Author's Manuscript & Supplementary Materials

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  • About the Authors
  • Contents
  • Manuscript
  • Errata & Additions
  • Comments/Corrections
  • Supplemental Materials

Lecture Slides

  • Class 1 –  Class and Data Science Intro
  • Class 2 – Analysis Rubric and Ethics Discussion
  • Class 3 – Data
  • Class 4 – Models and Dependability – Privacy (intro)
  • Class 5 –  Dependability: Privacy, Security, Anti-abuse, Resilience
  • Class 6 – Understandability: Explainability, Causality, Reproducibility
  • Class 7 – Objectives
  • Class 8 – Toleration of Failures and ELSI
  • Class 9 – Societal Concerns
  • Class 10 – Societal Concerns (cont)
  • Class 11 – Concerns and Policy
  • Class 12 – Discussion, including what about AGI?

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  • Home
  • About the Authors
  • Contents
  • Manuscript
  • Errata & Additions
  • Comments/Corrections
  • Supplemental Materials
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