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通过政策问题理解英国政策制定者的证据需求。

Understanding UK policymakers' evidence needs through policy questions.

作者信息

Osman Magda, Cosstick Nick

机构信息

Judge Business School, University of Cambridge, Trumpington Street, Cambridge, CB2 1AG, UK.

Leeds Business School, University of Leeds, Maurice Keyworth Building, Woodhouse, LS2 9JT, Leeds, UK.

出版信息

Sci Rep. 2025 Jul 2;15(1):22484. doi: 10.1038/s41598-025-05911-3.

Abstract

The present mixed methods study used UK policymakers to answer the following: (1) are there common topics for which evidence is requested over time (2019 to 2023) that cut across government departments or agencies, and (2) is there a preferred style in the way evidence is requested? Three separate datasets of policy questions (n = 3260) posed by UK policy makers to academics were coded by a combination of humans and an algorithm and then analysed. First, of the 7 recurring topics identified (Climate and Environment, Defence and Security, Economy, Health, Information Technology, Social Welfare, Technology), Economy (27%) was the most featured across all policy makers across all 5 years. Climate and Environment showed the sharpest rise over time (16-38%). Second, of 7 styles of questions, procedural (33%) was the most common, which means addressing "how to" (e.g. measure, intervene, prevent) type questions. In the qualitative interviews policymakers reported gaining the most from an exploratory rather than a goal-specific approach during one-to-one interactions with academics. Also when having their assumptions challenged this helped to expand the way they thought of policy issues that they were currently addressing. This UK test case shows the value of focused iterative policy-academic exchanges and could be a way to enhance evidence-based policymaking initiatives.

摘要

本混合方法研究借助英国政策制定者来回答以下问题

(1)在2019年至2023年期间,是否存在跨政府部门或机构的、随时间推移被要求提供证据的常见主题?(2)在要求提供证据的方式上是否存在一种偏好的风格?由英国政策制定者向学者提出的三个独立的政策问题数据集(n = 3260)由人工和算法结合进行编码,然后进行分析。首先,在确定的7个反复出现的主题(气候与环境、国防与安全、经济、健康、信息技术、社会福利、技术)中,经济(27%)在所有政策制定者的所有5年中出现的频率最高。气候与环境随时间推移的增长最为显著(从16%增至38%)。其次,在7种问题风格中,程序性问题(33%)最为常见,这意味着处理“如何做”(如测量、干预、预防)这类问题。在定性访谈中,政策制定者表示,在与学者的一对一互动中,探索性方法比目标特定方法让他们收获更多。此外,当他们的假设受到挑战时,这有助于拓宽他们思考当前所处理政策问题的方式。这个英国的案例展示了有针对性的迭代式政策 - 学术交流的价值,并且可能是加强循证政策制定举措的一种方式。

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