Post Normal SciencePost Normal Science (PNS) (PNS) is a way of understanding why conventional approaches to science advice often falter in today’s high-stakes policy debates. In contexts where urgency is high, facts are incomplete, and societal values clash—as with climate change, gene editing, or pandemic responses—scientific input alone rarely settles the issue. Instead, scientists find themselves operating in a noisy and contested information and policy environment, where their authority is diluted by competing stakeholders, media distortion, and politicised narratives. The chapter moves beyond the limitations of the Linear Model to show how uncertainty, advocacy, and institutional inertia complicate evidence-based decision-making. Through case studies, we explore how science can become entangled with manufactured urgency, misrepresented risk, and stakeholder influence. It categorises common dysfunctions of science-for-policy—such as scientised politicsScientised Politics, noble lies, and “mad rationalityMad rationality“—and considers how tools like the precautionary principlePrecautionary principle and risk managementRisk management are deployed in these contexts. The growing role of social media and celebrityCelebrity activism further blurs the boundary between scientific communication and persuasion. PNS provides a framework to diagnose these dynamics and invites new models of deliberation that reflect the realities of uncertainty, pluralism, and public engagement.

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Emergence of Post Normal Science

  • Roger Jacobs

摘要

Post Normal SciencePost Normal Science (PNS) (PNS) is a way of understanding why conventional approaches to science advice often falter in today’s high-stakes policy debates. In contexts where urgency is high, facts are incomplete, and societal values clash—as with climate change, gene editing, or pandemic responses—scientific input alone rarely settles the issue. Instead, scientists find themselves operating in a noisy and contested information and policy environment, where their authority is diluted by competing stakeholders, media distortion, and politicised narratives. The chapter moves beyond the limitations of the Linear Model to show how uncertainty, advocacy, and institutional inertia complicate evidence-based decision-making. Through case studies, we explore how science can become entangled with manufactured urgency, misrepresented risk, and stakeholder influence. It categorises common dysfunctions of science-for-policy—such as scientised politicsScientised Politics, noble lies, and “mad rationalityMad rationality“—and considers how tools like the precautionary principlePrecautionary principle and risk managementRisk management are deployed in these contexts. The growing role of social media and celebrityCelebrity activism further blurs the boundary between scientific communication and persuasion. PNS provides a framework to diagnose these dynamics and invites new models of deliberation that reflect the realities of uncertainty, pluralism, and public engagement.