Visualising Uncertainty A Short Introduction
Visualising Uncertainty A Short Introduction by Polina Levontin, published by Sad Press & Friends in 2020, offers a concise exploration of how uncertainty data is visualized and its impact on analysis and decision-making. This 58-page primer addresses the importance of effective visualization tools, emphasizing their role not only in group settings but also in individual decision-making processes. The book highlights the complexities involved in communicating uncertainty and the potential for misinterpretation.
Readers will find a comprehensive summary of the current state of uncertainty visualization research, including relevant studies, concepts, and practical recommendations. This edition serves as a resource for those interested in business and economics, decision-making, data science, and communication studies. It also invites contributions from researchers across various fields, making it a dynamic addition to the discourse on visualizing uncertainty.
Official synopsis Publisher
How uncertainty data is visualised can play a significant role in analysis and decision-making, especially involving multiple stakeholders. Even when only one person is responsible for every aspect of analysis and decision-making, visualisation may still play a significant role in how uncertainty is understood–i.e. in how the decision-maker ‘communicates uncertainty to themselves.’
Using the right visualisation tools can have a positive impact on decision quality. But this positive impact should never be taken for granted: visualisations can also have unexpected side-effects, and there is the risk that they can be misinterpreted or otherwise misused.
This primer, published by the Analysis under Uncertainty for Decision-Making network (AU4DM), summarises the current state of the art of uncertainty visualisation research. It brings together a wealth of relevant studies, concepts, and practical tools and recommendations. It also represents research-in-progress: an open invitation for researchers in visualisation, decision analysis, psychology, and other fields to share their findings and to contribute to future editions.
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