Our digital age is characterized by both a generalized access to data and an increased call for participation of the public and other stakeholders and communities in policy design and decision-making. This context raises new challenges for political decision-makers and analysts in providing these actors with new means and moral duties for decision support, including in the area of environmental policy. The concept of “policy analytics” was introduced in 2013 as an attempt to develop a framework, tools, and methods to address these challenges. This conceptual initiative prompted numerous research teams to develop empirical applications of this framework and to reflect on their own decision-support practice at the science-policy interface in various environmental domains around the world. During a workshop in Paris in 2018, participants shared and discussed their experiences of these applications and practices. In this paper, we present and analyze a set of applications to identify a series of key properties that underpin a policy analytics approach, in order to provide the conceptual foundation for policy analytics to address current policy design and decision-making challenges. The induced properties are demand-orientedness, performativity, normative transparency, and data meaningfulness. We show how these properties materialized through these six case studies, and we explain why we consider them key to effective policy analytics applications, particularly in environmental policy design and decision-making on environmental issues. This clarification of the policy analytics concept eventually enables us to highlight research frontiers to further improve the concept.

中文翻译：

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什么是政策分析？5年环境管理应用探索

我们的数字时代的特点是对数据的普遍访问以及公众和其他利益相关者和社区参与政策设计和决策的呼声越来越高。这种背景对政治决策者和分析人员提出了新的挑战，即为这些行为者提供新的决策支持手段和道德义务，包括在环境政策领域。“政策分析”的概念于 2013 年引入，试图开发一个框架、工具和方法来应对这些挑战。这一概念性举措促使众多研究团队开发该框架的实证应用，并在世界各地不同环境领域的科学政策界面反思他们自己的决策支持实践。2018 年在巴黎的一次研讨会上，参与者分享并讨论了他们在这些应用和实践方面的经验。在本文中，我们提出并分析了一组应用程序，以确定支持政策分析方法的一系列关键属性，以便为政策分析提供概念基础，以解决当前的政策设计和决策挑战。诱导属性是需求导向性、表现性、规范透明性和数据意义。我们通过这六个案例研究展示了这些特性是如何实现的，并解释了为什么我们认为它们是有效政策分析应用的关键，特别是在环境政策设计和环境问题决策方面。政策分析概念的这种澄清最终使我们能够突出研究前沿以进一步改进该概念。