The designation of which resources are valued as emerging heritage is at a turning point. This has resulted in urban heritage regeneration processes designed from the top down, neglecting the perception of the local. This article highlights the importance of generating participatory multi-actor spaces where the knowledge of agents involved in the same process of urban regeneration, in this case linked to heritage in obsolete neighborhoods, can be incorporated and contrasted. The San Pablo neighborhood in Seville, built in the 1960s, is chosen as a case study. Actor–network theory is taken as a methodological basis for articulating a network with the voices of agents involved in heritage regeneration processes in obsolete neighborhoods. A methodology designed from the bottom up is put into practice, having as a base the social agents, followed by the academy, and finally with the technical knowledge of official institutions. This research concludes that incorporating the elderly population as social agents in regenerative actions in the San Pablo neighborhood is a determining factor in characterizing its uniqueness. Collective memory naturally associates resources that are part of the social identity of the neighborhood. Due to its deep roots, the older population recognizes different elements that could be protected and possibly recognized as emerging heritage, and that technical agents should consider them to achieve sustainable regeneration.

This article proposes a hybrid methodology to represent the energy poverty situation in neighbourhoods with high vulnerability indices, using public data sources and surveys designed for local contexts. As an innovation, the method includes aspects of feminisation poverty, household health and information collected directly from the case study population. The San Pablo neighbourhood, in southern Spain, has been taken as a case study, to extrapolate the strategy to similar European neighbourhoods. The research has made it possible to identify new factors affecting the energy poverty situation, such as the domestic burden associated with households or the lack of accessibility to dwellings. The incorporation of this type of indicators, which have been analysed according to sex, has made it possible to highlight the process of feminisation of energy poverty in the territory under study. Based on the groups identified as the most vulnerable, new lines of research are opened to define actions and best practices that can be implemented to improve household energy vulnerability.

The Intergovernmental Panel on Climate Change's Sixth Assessment Report highlights a significant rise in global surface temperatures and stresses the urgent need for localised climate research, especially in vulnerable regions like the Canary Islands (Spain). This study presents high‐resolution climate projections for temperature evolution during this century in the Canary Islands, with a spatial detail of 100 × 100 m. The climate scenarios were generated using a statistical downscaling methodology called FICLIMA, which consists of a two‐step analog/regressive statistical method. This unprecedented level of precision allows for a more accurate understanding of local climate conditions. The findings reveal consistent temperature increases across all seven islands. La Gomera shows the most pronounced warming, where the SSP5‐8.5 scenario predicts increases of up to 4.4°C, while Lanzarote and Fuerteventura exhibit smaller variations, likely due to their geographic characteristics. These results are of enormous value in addressing the specific challenges facing the archipelago, particularly the pressure on limited water resources caused by tourism and agriculture.

Heat waves, episodes of abnormally high temperatures sustained for several days, have increased in frequency, duration and intensity in recent decades as a consequence of climate change. This study analyses their evolution in the Canary Islands using historical data (1981–2010) and regionalised climate projections up to 2100, using the FICLIMA method and CMIP6 ensemble models. Four key indicators were evaluated: frequency, mean duration, mean intensity and maximum intensity of these events. The results indicate a substantial increase in heat waves across all islands, with a more pronounced increase observed in eastern islands such as Fuerteventura, where up to 6.5 additional episodes per year could be recorded under the most adverse scenarios. Furthermore, an increase in the average duration is anticipated, with this reaching up to 10 consecutive days and more than 60 days per year under extreme conditions on certain islands. While the mean temperature during these events is expected to rise, the maximum intensity is projected to rise more substantially, particularly in the western islands. These changes pose a major challenge for future climate adaptation in the region, with direct implications for public health, water resource management and key sectors such as tourism and agriculture. The results provide scientific evidence for the design of mitigation and adaptation strategies aimed at reducing the impacts of these extreme events on the population and ecosystems of the archipelago.