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A growing body of evidence suggests that experiences of discrimination may affect physical and mental health through multiple pathways. This paper aims to characterize the extent of everyday perceived discrimination among Brazilian and Cape Verdean immigrant adults in Portugal, to identify its forms and analyze its association with mental health.

This study draws on data from the EQUALS4COVID19 (Equity in health in times of pandemic) project that implemented a cross-sectional survey combining online and face-to-face questionnaires for data collection between February and November 2022.

Women were less likely than men to report no discrimination experiences and more likely to report combined bases of discrimination. While Brazilian women were more likely than Cape Verdean counterparts to report gender and nationality-based discrimination, Cape Verdean women and men were more likely to report experiencing race-based discrimination. Gender (being identified as a woman) and length of stay in Portugal were the main predictors of depression, while resilience and perceived social support were protective factors. Participants with higher levels of resilience showed a significantly diminished association between perceived discrimination and depressive symptoms.

This study highlights the need for further research on the interlocking influences of gender, race, nationality and other structures of power, on health and illness to increase our understanding of what would help meet the specific needs of migrants’ mental health and improve equitable health care.

The findings on the multiple and intersectional discrimination perceived by the Brazilian and Cape Verdean populations in Portugal illustrated the ways mental health can be affected by social structures, such as gender and ethnic hierarchies, and can be used to inform the relevance to design and implement programs on combating individual and institutional discrimination and improving the rights of all people.

The purpose of this research is to investigate the differences between financial crises of fear and confidence and the differential behavior between downtrends and recovery.

Five national stock markets have been analyzed – the USA (SP500), China (Hang Seng), Spain (IBEX 35), Japan (Nikkei) and Germany (DAX) – through the evolution of three world economic crises: the mortgage bubble crisis of 2007 in the first place, with special attention to the bankruptcy of Lehman Brothers, which will be treated as an independent crisis process, and the crisis caused by COVID-19. The behavioral finance theory, with the support of the complexity theory in the field of risk management, will establish the different behavioral biases that explain the differences between the two types of crises, fear and confidence, when confronted with risk.

Economic crises resulting from a shocking event, addressed as crises of fear in this research, such as Lehman Brothers or COVID-19, are fast-moving; all the economies analyzed show a common pattern of evolution. The difference is found in the recovery periods in which the previous parallelism does not continue. Crisis events that arise from a social context, addressed as crises of trust in this research, follow similar patterns in their evolution; nonetheless, the start date presents higher variations than those originated by a shock. These crises also lack parallelism between fall and recovery.

Understanding crisis process patterns may help to prevent them and alleviate their effects when they occur.

Understanding crisis process patterns may help to prevent them and alleviate their effects when they occur. This constitutes an original field of research.

This study explores the significance and implementation priorities for Digital Product Passports (DPP) in the context of building renovation projects. It aims to reveal bottlenecks and how a data-driven workflow bridges the DPP understanding/implementation gap, facilitating the transition towards practices aligned with the EU Green Deal goals.

A mixed-methods embedded design was employed for a real-case study exploration. Desk research and field observations ground the two-level analysis combining project documentation, namely the Bill of Quantities (BoQ), with different criteria in digitalisation and sustainability, such as economic ratio, 3D modelling, waste management, hazards, energy performance and facility management. All results were interpreted from the DPP lens.

The analysis revealed a system for identifying building products representing a significant part of the renovation budget. About 11 priority DPPs were found. Some are crucial for both the deconstruction and construction phases, highlighting the need for an incremental and strategic approach to DPP implementation.

The study is limited to a single case study. Constraints are minimised given the sample's archetype representativeness. The outcomes introduce the need for strategic thinking for incremental DPP implementation. Future research will explore additional criteria and cases.

The research has resulted in a classification framework for DPPs' significance and priority, which is provided with case results. The outcome of the framework provides views on concept alignment to make the implementation in construction more straightforward. Its practical use can be replicated in other projects, emphasizing the importance of data structure and management for the circular economy.