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 language | English |
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Pages (from-to) | 162-186 |
Number of pages | 25 |
Journal | Canadian Journal of Program Evaluation |
Volume | 36 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Sept 2021 |
Externally published | Yes |
Keywords / Materials (for Non-textual outputs)
- Artificial Intelligence
- Big data
- Development
- Digital twins
- Evaluation
- Machine learning