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Scientific Inquiry and MethodScientific inquiry is how we ask questions and find answers about the world around us. Scientists use the scientific method to test ideas and learn from evidence. This process helps them study everything from tiny germs to massive planets.The scientific method follows these key steps:Observation – Noticing something interesting in the worldQuestion – Asking a question about the observationHypothesis – Making a prediction or an educated guessExperiment –...
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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
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Watershed Planning within a Quantitative Scenario Analysis Framework
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Implementing post-normal science with or for EU policy actors: using quantitative story-telling.

Kirsty L Blackstock1, K A Waylen1, K B Matthews2

  • 1Social, Economic and Geographical Sciences, James Hutton Institute, Craigiebuckler, Aberdeen, AB15 8QH Scotland, UK.

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|January 25, 2023
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Summary
This summary is machine-generated.

This study explores quantitative story-telling (QST), a method within post-normal science (PNS), for analyzing complex sustainability issues. It highlights challenges in science-policy interactions for sustainable agriculture and development goals.

Keywords:
AgricultureEuropean UnionPost-normal scienceQuantitative story-tellingScience–policy interactions

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Area of Science:

  • Environmental Science
  • Policy Analysis
  • Sustainability Studies

Background:

  • The interconnected climate, biodiversity, and economic crises demand adaptive, multi-scale solutions.
  • Current science for policy often overlooks systemic issues, focusing on technical fixes.
  • Post-normal science (PNS) offers a framework to address complex, value-laden problems.

Purpose of the Study:

  • To document the implementation of quantitative story-telling (QST) in policy analysis.
  • To evaluate QST as a tool for science-policy interaction within the European Union (EU).
  • To explore the application of PNS in strategic policy contexts concerning sustainable agriculture and UN Agenda 2030.

Main Methods:

  • Mixed-method approach integrating quantitative data with narrative elements (QST).
  • Application within a post-normal science (PNS) framework.
  • Case study involving EU policy actors focused on sustainable agriculture and development goals.

Main Results:

  • QST was implemented to address the normative dimensions of sustainability policy.
  • Science-policy interaction challenges were amplified across multiple policy domains.
  • The study identified lessons learned from applying PNS in a complex systems approach.

Conclusions:

  • QST, as part of PNS, offers a valuable approach for science-policy interfaces on wicked sustainability problems.
  • Navigating complex, multi-domain policy environments requires careful consideration of systemic framing.
  • Researchers engaging with policymakers on sustainability issues can benefit from these experiences.