Browsing by Author "Dhungana A"

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    From scientific models to decisions: exploring uncertainty communication gaps between scientists and decision-makers
    (Springer Science+Business Media, LLC, 2025-09-01) Dhungana A; Doyle EEH; Prasanna R; McDonald G
    Effective communication of uncertainty relies on transparent exchanges between scientists and decision-makers. However, significant gaps often exist between how scientists and decision-makers perceive, understand, and communicate uncertainty. This study examines the dynamics of uncertainty communication between scientists and decision-makers, employing a reflective thematic analysis of 32 interview datasets, comprising 17 scientists and 15 decision-makers. Our results show that Scientists typically approach uncertainty through methodological rigour, employing technical vocabulary and probabilistic language, which aligns with their scientific training but often complicates comprehension for decision-makers. Conversely, decision-makers prioritise actionable insights and practical implications, requiring uncertainty to be communicated in a way that supports decision-making processes across diverse contexts. The study further highlights the need for tailored communication strategies that bridge the complexities of uncertainty with the practical needs of decision-makers, emphasising collaboration and user-focused uncertainty visualisations as pathways to enhance uncertainty communication between scientists and decision-makers for the uptake of uncertainty information into decision-making.
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    Navigating scientific modelling and uncertainty: Insights from hazard, risk, and impact scientists in disaster risk management (DRM)
    (Elsevier Ltd, 2025-02-15) Dhungana A; Hudson Doyle E; McDonald G; Prasanna R
    Scientific models have long been used as an important tool in assisting in decision-making in Disaster Risk Management (DRM). However, it is commonly understood that uncertainty in these models significantly influences the integration of model outputs into decision-making processes, presenting a challenge for effective uncertainty communication. This paper explores how scientists in DRM approach modelling and uncertainty. We conducted seventeen in-depth qualitative interviews in Aotearoa, New Zealand, with scientists working on DRM. We provided an overview of the varied approaches and key factors influencing their processes for model characterisation and communicating uncertainties. We used Reflective Thematic Analysis to construct key themes, including (a) model development and characterisation, (b) accountability and opinion, (c) communication approach and challenges, and (d) collaboration for effective uncertainty communication. We found that different DRM scientists have different disciplinary and experiential training, experience, and interaction with decision-makers. These factors greatly influence their choices regarding scientific modelling and communication of uncertainty. The lack of a generally accepted guideline for a best practice approach to uncertainty communication is a key barrier to successfully incorporating uncertainties into DRM decision-making. We suggest that a better collaboration between scientists and decision-makers throughout the lifecycle of the model development process is a way forward for effective communication of uncertainty in DRM decision-making.