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Table of Contents

  1. Editors’ Notes
  2. Juan Garcia, John Gough
  3. pp. 1-5
  4. DOI: https://doi.org/10.1353/jaa.2021.a933982
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  1. Data Science for Fundraising: A Review of Analytics in Fundraising
  2. Ashutosh R. Nandeshwar
  3. pp. 6-20
  4. DOI: https://doi.org/10.1353/jaa.2021.a933983
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  1. Predicting Capacity With Machine Learning
  2. David Schemitsch
  3. pp. 21-30
  4. DOI: https://doi.org/10.1353/jaa.2021.a933984
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  1. When XGBoost Tree Meets Humanity: An Exploration of Implementing New Machine Learning Techniques Into Everyday Fundraising Practice
  2. Marianne M. Pelletier
  3. pp. 31-43
  4. DOI: https://doi.org/10.1353/jaa.2021.a933985
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  1. Leveraging Insights From Other Industries to Accelerate Data-Driven Success in University Fundraising
  2. Jim Dries, Hendrik Kits van Heyningen
  3. pp. 44-53
  4. DOI: https://doi.org/10.1353/jaa.2021.a933986
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  1. 2020 Vision: Observations on How Artificial Intelligence Is Disrupting the Business of Philanthropy
  2. Melissa Cox
  3. pp. 54-61
  4. DOI: https://doi.org/10.1353/jaa.2021.a933987
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  1. Hidden Voices: Using Social Listening to Uncover Audience Insights and Boost Advancement
  2. Amanda K. Jeppson, Rebecca C. Stapley
  3. pp. 62-72
  4. DOI: https://doi.org/10.1353/jaa.2021.a933988
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Volume 2, 2022