In an era marked by climate change, socio-economic disparity, and digital acceleration, the challenge of effectively communicating complex environmental data to diverse audiences has become increasingly urgent. This study examines how data visualization and interactive art can be employed to translate scientific knowledge into engaging, accessible formats that raise public awareness and encourage climate action. We reviewed 495 environmental art and design projects and selected a corpus of 36 that focus on dynamic data visualisation and interactive experience design in response to climate and urban challenges. A multi-scalar, qualitative analysis was conducted to assess the thematic structure, technological strategies, and aesthetic dimensions of these projects. Our findings show that interdisciplinary methods—blending real-time data, machine learning, sonification, and immersive installations—are effective in rendering abstract climate data into emotionally resonant, actionable narratives. Through detailed case studies, we demonstrate how artistic interventions can facilitate public understanding, stimulate behavioural change, and support participatory urban adaptation. We conclude by highlighting the significance of collaborative, cross-sectoral approaches in designing future-oriented communication strategies for climate resilience, and by identifying future research pathways in the integration of environmental science, technology, and the arts.

This article develops an analytical framework for understanding climate-related institutional strain in museum environmental management. Rather than treating museum climate pressure primarily as visible disaster, public communication, or individual climate anxiety, the study examines how climate uncertainty becomes legible through ordinary institutional routines: environmental monitoring, threshold checks, intervention logs, IPM activity, maintenance work, and professional accounts of control, tempo, and future stability.The study draws on four anonymized museum case prototypes, six interviews with museum professionals, environmental monitoring records, IPM logs, maintenance data, and a short questionnaire on perceived control, care/work tempo, and future sustainability. These materials are used interpretively, not as a clinical or psychometric measure of anxiety. Climate-anxiety literature is treated as a contextual lens, while the main object of analysis is institutional strain: the gap between current operational effectiveness and weakening confidence in long-term baseline recovery and sustainable care routines.The article argues that design-led analysis can make scattered institutional clues visible, comparable, and discussable without converting them into generalizable psychological outcomes. By tracing threshold drift, intervention density, compressed judgment windows, care rhythm, and perceived future stability, the framework shows how museums absorb, distribute, and reveal climate pressure through everyday care practices. The contribution is a methodological and interpretive account of how museum climate adaptation can be read through institutional care, operational rhythm, and the hidden tempo of environmental pressure.

Urban flower beds are increasingly expected to work as climate-adaptation micro-infrastructure, not just decorative planting. Yet monitoring records still travel badly into municipal meetings, procurement documents, and public explanation. The article introduces and tests an evidence-to-action conversion layer that turns monitoring logs into auditable governance outputs through a stable BedID key, effort normalization, fixed reporting windows, KPI contracts, and versioned rule tables. Using 11 municipal flower beds in Regensburg, the study shows that, under the same reporting window and workload rules, patrol intensity can vary by up to 130-fold, which makes intuition alone a weak guide. Practitioner workshops (n = 12) further show that the workflow supports faster diagnosis, steadier prioritization under budget pressure, and clearer cross-departmental and public explanation, with high overall usability (SUS = 82.3). What this adds is a localized governance workflow that shortens the last mile between monitoring evidence and municipal action.

Coastplay is a route-based environmental communication prototype designed for public climate learning in collaboratively managed coastal protected areas. Rather than treating climate change as background information, the interface organizes local pressures, landform change, and multispecies relations into three optional learning paths: ocean, cliff, and sky. Each path uses low-threshold interactions such as dragging, clicking, and sliders to turn warming, storms, drought, and habitat change into comparable, discussable sequences. Its value lies in showing how co-management goals can be turned into a public-facing learning structure people can actually use. What emerges is less a digital tour guide than a way to build situated ecological literacy, conditional reasoning, and repeatable discussion.

The most elaborate, intellectually, of the article’s arguments about urban heat response is the claim that local adaptation depends on whether residents can connect cooling centers, shaded places, and isolated facilities into workable daily routes. Using Gelsenkirchen as a case, the study identifies informal cooling refuges from publicly visible user-generated content and translates these traces into an auditable cooling index. Lightweight proxy checks are then used to ask whether the index remains directionally consistent with known cooling conditions such as canopy, vegetation, and water proximity. It is not a question of formal planning or local evidence, but of making the latter supplement the former. Doing so demands an austere discipline of auditability, detachment from anecdote, and some care about what counts as refuge. One has to understand, for one thing, that heat adaptation cannot be reduced to location alone. One needs access, usability, and everyday climate justice.