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Identifying Barriers and Enablers for Climate-Adaptive Floodwall Design: A Cross-Country Fuzzy Synthetic Evaluation of Australia and Vietnam
This conference paper examines stakeholder perceptions of barriers and enablers for Climate-Adaptive Floodwall Design (CAFD) using a cross-country comparative study of Australia and Vietnam. Drawing on survey responses from 92 flood management professionals, the study applies Fuzzy Synthetic Evaluation (FSE) to assess 15 barriers and 15 enablers across governance, financial feasibility, technical capacity, stakeholder engagement, and site-specific hydro-physical conditions. The findings highlight both shared priorities, e.g., the importance of hydro-physical constraints and cost–benefit analysis, and key contextual differences, including divergent views on technical capacity, funding constraints, and the role of nature-based solutions. The paper provides policy-relevant insights to support climate-resilient flood defence planning in both developed and developing country contexts.</p
All-Weather Flood Mapping Using a Synergistic Multi-Sensor Downscaling Framework: Case Study for Brisbane, Australia
Despite a growing number of Earth Observation satellites, a critical observational gap persists for timely, high-resolution flood mapping, primarily due to infrequent satellite revisits and persistent cloud cover. To address this issue, we propose a novel framework that synergistically fuses complementary data from three public sensor types. Our methodology harmonizes these disparate data sources by using surface water fraction as a common variable and downscaling them with flood susceptibility and topography information. This allows for the integration of sub-daily observations from the Visible Infrared Imaging Radiometer Suite and the Advanced Himawari Imager with the cloud-penetrating capabilities of the Advanced Microwave Scanning Radiometer 2. We evaluated this approach on the February 2022 flood in Brisbane, Australia using an independent ground truth dataset. The framework successfully compensates for the limitations of individual sensors, enabling the consistent generation of detailed, high-resolution flood maps. The proposed method outperformed the flood extent derived from commercial high-resolution optical imagery, scoring 77% higher than the Copernicus Emergency Management Service (CEMS) map in the Critical Success Index. Furthermore, the True Positive Rate was twice as high as the CEMS map, confirming that the proposed method successfully overcame the cloud cover issue. This approach provides valuable, actionable insights into inundation dynamics, particularly when other public data sources are unavailable.</p
Regen VN Interdisciplinary Sound Cluster Work 2024-2025
This is a collection of excerpts of recordings and edits of recordings made on the street in Ho Chi Minh City in 2024 as part of the Regen VN project Sound Cluster activities. The recordings contained here are field recordings made by group members, as well as two remixes made from these and related recordings.Charles Anderson Regen VN Soundwalk HCMC Tan Quy 240924 (excerpt)Renick and Michael Walking Opposite Directions and then Meeting Again in Tan Quy Market (excerpt)Thierry Bernard, Regen VN Soundwalk in D3, 240904 (excerpt)Yoko Akama, Regen VN Soundwalk HCMC Tan Quy 240924 (excerpt)Yoko and a Friend on a Walk in Tan Quy Market (Renick Bell remix)This work is described in a journal article (DOI for the article to be added once it has been published in 2026).</p
Dossier: Sites of struggle: Television’s cultural and economic value
In the age of the Anthropocene, television can play a key role in shifting ideologies. However, achieving this is difficult when television continues to operate as a ‘site struggle’ – pulled between complex negotiations of capital and culture. If in the 20th century, scholars were interested in teasing out the value(s) of television to argue for its potential contribution to socio-cultural transformation, in the 21st century, questions of television’s value(s) and potentialities have become even more critical – and vexing. This dossier brings together the research and reflections of scholars variously tackling questions of television’s value in the contemporary moment.</p
Indigenous stewardship and co-management in action: a case study on blue carbon from a mangrove ecosystem on the Great Barrier Reef
Blue carbon ecosystems play a vital role in climate change mitigation and adaptation through their capacity to sequester and store organic carbon. Queensland, Australia, contains over 500,000 ha of mangroves, much of it under the stewardship of Traditional Custodians. The mangrove forests of the Bidakarra (Barron River) estuary provide a unique opportunity to demonstrate how Indigenous leadership, scientific research, and local industry partnerships can advance both ecological and cultural outcomes. We present a co-designed case study from Kukujum (Ellie Point), an area co-managed by Cairns Airport, Yirrganydji Gurabana Aboriginal Corporation, and the Yirrganydji Land and Sea Ranger Program through Dawul Wuru Aboriginal Corporation. The project combined collaborative planning, field-based carbon assessments, and community engagement to exchange Traditional Knowledge and scientific expertise. Results showed Ceriops tagal as the dominant species, with tree densities from 1000 to 4400 ha−1. The forest stores ∼120,000 tonnes of organic carbon to 1 m depth, with 69 % in sediments (accumulating at 1.84 ± 0.11 tonnes C ha−1 yr−1) and 31 % in biomass. By embedding Indigenous stewardship into blue carbon assessment, this work highlights governance models that align climate and biodiversity goals with cultural priorities. The findings provide actionable insights for policy frameworks seeking to integrate nature-based solutions, equitable benefit-sharing, and community-led coastal management, offering a replicable approach for other regions balancing ecological sustainability with Indigenous rights.</p
A Systematic Review on the Organizational Learning Potential of Building Information Modelling: Theoretical Foundations and Future Directions
Organizational learning refers to the systematic development, exchange and dissemination of knowledge throughout the organization. Organizational learning processes in construction are disrupted by the decentralized flow of information and the temporary, short-term nature of project teams. The emergence of Building Information Modelling (BIM) has significantly enhanced the ability to capture and disseminate construction project knowledge within the architecture, engineering, construction, and facilities management (AEC-FM) sector. Despite this progress, existing research has predominantly focused on the technical aspects of BIM, with limited evidence on its effects on organizational learning capabilities. This study addresses this gap by examining how BIM shapes organizational learning mechanisms within AEC-FM contexts. Employing a systematic literature review (SLR) approach, 104 articles from the Scopus database were analyzed using scientometric and thematic analyses. The systematic review of the literature was carried out following the PRISMA guidelines. The SLR provided a comprehensive examination of BIM’s contribution to strengthening the three core organizational learning mechanisms: experience accumulation, knowledge articulation, and knowledge codification. The thematic analysis revealed seven BIM-enabled organizational learning factors that are expected to strengthen learning mechanisms in AEC-FM organizations: agility of thinking and reasoning skills; enhanced decision-making; interconnected stakeholders’ relationships; integrated business processes; BIM-facilitated project knowledge sharing; BIM-supported project knowledge retention; and BIM-supported project knowledge extraction. Findings suggest that BIM significantly facilitates learning mechanisms within AEC-FM firms. A conceptual model of BIM-supported learning mechanisms was developed to highlight opportunities for enhancing organizational learning capabilities in the BIM environment.</p
Managing Digital Dependencies in a Connected Society: Policy Options for Ecosystem Transitivity
In today’s global society, people, devices, and organizations are highly interdependent, leading to extensive ecosystem transitivity, which can trigger cascading failures that disrupt the economy. Despite the importance of ecosystem transitivity, few relevant national policies are in place. In this article, we identify the unaddressed problem of ecosystem transitivity. The source of concern is the opacity of dependency in the massive, complex, and interconnected collection of information systems on which society is heavily reliant. There is a need for an information system to increase transparency and reduce a nation’s organizational continuity risk, as illustrated by the examples discussed. We recommend several options for national policy management to mitigate the systemic risks associated with ecosystem transitivity.</p
Refine XGBoost with SHAP explainability for non-invasive early detection of diabetic kidney disease: Estimated cardiac output as a potential indicator
Introduction: Moderately increased (micro) albuminuria serves as a critical early indicator of Diabetic Kidney Disease (DKD). However, traditional screening methods that rely on laboratory-based analyses face significant challenges in enabling timely and continuous monitoring. This study addresses these limitations by introducing a non-invasive approach for albuminuria risk detection, allowing real-time estimation of mild albuminuria increases using vital signs and body measurements. Methods: We developed a non-invasive model for albuminuria risk detection using vital signs and body measurements. Data were drawn from the NHANES cohort (USA) and a Bangladeshi cohort of people with diabetes (PwD). Feature selection identified four non-laboratory predictors—estimated cardiac output (eCO), body mass index, waist circumference, and diabetes duration—as the most informative inputs. The proposed models were benchmarked against baseline machine learning approaches and existing methods developed over the past decade, with model interpretability assessed via SHapely Additive exPlanation (SHAP) contributions. Results: Our best model, an XGBoost classifier, achieved an AUC of 0.75 [0.67–0.84], an accuracy of 0.70, and a macro F1 score of 0.68, outperforming other non-invasive risk scores (0.58) and machine learning baselines. Validation against an external reference risk score confirmed superior precision–recall balance for both positive (microalbuminuria) and negative classes. Conclusion: This study demonstrates that a fine-tuned, non-invasive XGBoost model using simple clinical measures can support albuminuria monitoring and early DKD detection without laboratory tests. While the selected predictors may not represent the definitive or optimal feature set, their strong performance highlights the potential of leveraging easily obtainable, clinically relevant measures. In particular, the contribution of eCO underscores a promising direction for exploring heart–kidney–metabolism interactions in DKD risk assessment. Together, these findings highlight a scalable, non-invasive tool for resource-limited settings, an interpretable framework for clinical trust, and a pathway to refining feature sets for both accuracy and biological insight.</p
Nature-based solutions as ideological fantasy
Michael Gunder’s research demonstrates how spatial planning ideologically promises fullness and harmony in practices which manage subjective lack. Fantasy-constructions, such as ‘sustainability’, serve to sustain capital accumulation and economic growth, often at the expense of sustaining non-human nature. The last decade has witnessed a burgeoning of greenwash terms, including ecosystem services, green infrastructure, envirodevelopment and so on, several of which have been incorporated into the relatively new idiom of nature-based solutions. I explore discourses of nature-based solutions as illusionary ideological fantasy in order to unpack the powerful relationalities reinforced through its proliferation and implementation. I conclude that there is a need to recognise nature-based solutions for the ideological fantasy they are and to generate ways of thinking and acting which begin to traverse this fantasy and confront the real socio-economic-environmental questions of our time.</p
Spawned
Spawned is a choreography for VR exploring the creation of a particle push/pull environment for dancers. This research explored whether VR interactivity can bring new possibilities for movement development by immersing dancers in a virtual space. The project investigated how digital landscapes influence physical performance and choreography. The research contributes to the evolving discourse on digital performance, demonstrating the potential of VR to transform traditional dance practices. In Spawned, the dancer uses a VR headset to enter an interactive digital landscape. Particles in this environment react in real-time to the movement of the dancers hands providing immediate feedback. The dancer interacts with virtual objects, with the right hand attracting particles and the left propelling them away. The VR space challenges the dancer to experiment with different movement patterns, creating a dynamic choreographic response and an adaptive performance.</p