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Reimagining Data Visualization to Address Sustainability Goals

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arxiv 2409.03611 v1 pith:7M7TZXOG submitted 2024-09-05 cs.HC

classification cs.HC
keywords datavisualizationpublicclimatecomplexemotionalgoalssustainability
verification ladder T0 review T1 audit T2 compute T3 formal
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Information visualization holds significant potential to support sustainability goals such as environmental stewardship, and climate resilience by transforming complex data into accessible visual formats that enhance public understanding of complex climate change data and drive actionable insights. While the field has predominantly focused on analytical orientation of visualization, challenging traditional visualization techniques and goals, through critical visualization research expands existing assumptions and conventions in the field. In this paper, I explore how reimagining overlooked aspects of data visualization, such as engagement, emotional resonance, communication, and community empowerment, can contribute to achieving sustainability objectives. I argue that by focusing on inclusive data visualization that promotes clarity, understandability, and public participation, we can make complex data more relatable and actionable, fostering broader connections and mobilizing collective action on critical issues like climate change. Moreover, I discuss the role of emotional receptivity in environmental data communication, stressing the need for visualizations that respect diverse cultural perspectives and emotional responses to achieve impactful outcomes. Drawing on insights from a decade of research in public participation and community engagement, I aim to highlight how data visualization can democratize data access and increase public involvement in order to contribute to a more sustainable and resilient future.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Beyond the Prototype: Challenges of Long-Term Integration of Visual Analytics in Civic Spaces

    cs.HC 2025-05 conditional novelty 2.0 of 10

    Social and organizational barriers, from stakeholder disagreement to expiring grants, explain why civic visual analytics tools rarely survive past the prototype stage.

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