Catching the Wave: Harnessing Data Science to Support Evaluation’s Capacity for Making a Transformational Contribution to Sustainable Development

Adam Hejnowicz* (Lead Author), Scott Chaplowe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this article we set ourselves three challenges: first, to examine the potential of the data revolution to aid the transformational change required to achieve sustainable development goals second, and the ability of evaluation to contribute to greater engagement with data science technologies; and third, the capacity of data science to further evaluation as an innovative and progressive field of inquiry. We also discuss the political, economic, cultural, and ethical challenges that data science presents to sustainable development and evaluation. We conclude that data science and evaluation can enhance each other to address the key development challenges of our time.

Original languageEnglish
Pages (from-to)162-186
Number of pages25
JournalCanadian Journal of Program Evaluation
Volume36
Issue number2
DOIs
Publication statusPublished - 1 Sept 2021
Externally publishedYes

Keywords / Materials (for Non-textual outputs)

  • Artificial Intelligence
  • Big data
  • Development
  • Digital twins
  • Evaluation
  • Machine learning

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