拥抱政策科学的未来:教育学和实践中的大数据

N. Goyal, Ola G. El‐Taliawi, Michael Howlett
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摘要

尽管大数据的出现为综合和动员越来越多的政策相关知识提供了机会,但它在政策教育学和实践研究中并没有得到足够的重视。在本章中,我们通过对基本机器学习技术的讨论,并举例说明它们在更好地理解COVID-19政策应对方面的应用,强调大数据与政策分析、政策实施和政策研究的相关性。随后,基于对近2500份公共政策大数据出版物的文献计量分析,以及对全球122个项目的课程名称和描述的内容分析,我们呼吁在政策研究和教学中增加对大数据的利用。我们的结论是,适当地参与大数据现象可以帮助政策科学保持相关性,并向整合政策研究、教学和实践更近一步。©Anis Ben Brik and Leslie A. Pal 2021。
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Embracing the future of the policy sciences: big data in pedagogy and practice
Although the emergence of Big Data provides an opportunity to synthesize and mobilize ever greater amounts of policy-relevant knowledge, it has not received adequate attention in studies of policy pedagogy and practice. In this chapter, we highlight the relevance of Big Data to policy analysis, policy implementation, and policy studies through a discussion of basic machine learning techniques and an illustration of their application in the case of better understanding policy response to COVID-19. Subsequently - based on a bibliometric review of nearly 2, 500 publications on big data in public policy and content analysis of course titles and descriptions in 122 programs worldwide - we make an evidence-informed appeal to increase the uptake of big data in policy research as well as teaching. We conclude that appropriate engagement with the big data phenomenon can help the policy sciences remain relevant and move a step closer to integrating policy research, pedagogy, and practice. © Anis Ben Brik and Leslie A. Pal 2021.
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