Data science frontiers and evaluation’s transformational potential for sustainable development

IF 0.2 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY Canadian Journal of Program Evaluation Pub Date : 2021-10-21 DOI:10.3138/cjpe.71527
A. Hejnowicz, S. Chaplowe
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引用次数: 2

Abstract

In this paper we set ourselves three challenges, to examine: i) the potential of the data revolution to aid the transformational change required to achieve the sustainable development goals; ii) the ability of evaluation to contribute to (i) through greater engagement with data science technologies; and iii) 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 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.
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数据科学前沿与可持续发展评价的转型潜力
在本文中,我们为自己设定了三个挑战,以检验:i)数据革命在帮助实现可持续发展目标所需的转型变革方面的潜力;Ii)通过更多地参与数据科学技术,评估对(i)做出贡献的能力;数据科学作为一个创新和进步的研究领域进一步评估的能力。我们还讨论了数据科学为可持续发展和评估带来的政治、经济、文化和伦理挑战。我们的结论是,数据科学和评估可以相互促进,以应对我们这个时代的关键发展挑战。
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来源期刊
Canadian Journal of Program Evaluation
Canadian Journal of Program Evaluation SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
1.60
自引率
25.00%
发文量
32
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