From climate change to pandemics: decision science can help scientists have impact
Christopher M. Baker, Patricia T. Campbell, Iadine Chades, Angela J., Dean, Susan M. Hester, Matthew H. Holden, James M. McCaw, Jodie McVernon,, Robert Moss, Freya M. Shearer, Hugh P. Possingham

TL;DR
This paper discusses how decision science can help scientists effectively influence policy and societal decisions on issues like climate change and pandemics by integrating evidence, models, and stakeholder values.
Contribution
It provides an overview of decision science, its applications across various contexts, and highlights methodological gaps to enhance scientific impact on decision-making.
Findings
Decision science offers a unifying framework for diverse problems.
Mathematical models are crucial in informing policy decisions.
Bridging communication gaps enhances scientific impact.
Abstract
Scientific knowledge and advances are a cornerstone of modern society. They improve our understanding of the world we live in and help us navigate global challenges including emerging infectious diseases, climate change and the biodiversity crisis. For any scientist, whether they work primarily in fundamental knowledge generation or in the applied sciences, it is important to understand how science fits into a decision-making framework. Decision science is a field that aims to pinpoint evidence-based management strategies. It provides a framework for scientists to directly impact decisions or to understand how their work will fit into a decision process. Decision science is more than undertaking targeted and relevant scientific research or providing tools to assist policy makers; it is an approach to problem formulation, bringing together mathematical modelling, stakeholder values and…
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