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Data Science for Social Good: philanthropy and social impact in a complex world

Massimo Lapucci, Ciro Cattuto ★ 3.2/5 · ItemOracle Score Mid-Range

$70 USD
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Data Science for Social Good: Philanthropy and Social Impact in a Complex World (SpringerBriefs in Complexity)

Explores how data science can enhance philanthropy and social impact in complex systems. Provides frameworks for evaluating outcomes and guiding decisions. Customer insight note: sentiment unavailable in explicit terms

Highlights

  • data-driven philanthropy
  • social impact frameworks
  • complex-systems perspective

Pros

  • addresses data-driven philanthropy
  • covers social impact in complex systems
  • structured approach to outcomes
  • explicit authorship and scholarly context

Cons

  • no customer insight beyond None
  • features: N/A
  • brand may imply academic focus

Best For

  • academic research
  • nonprofit program evaluation
  • policy impact analysis
  • public health administration study
  • data-driven funding decisions
  • social impact assessment

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