The development of new biopolymer production technologies is becoming increasingly relevant for tackling the negative impact of linear plastics. Despite these potential benefits, their production and commercialization still face several obstacles that might hinder their widespread adoption. The present systematic review aimed to offer a thorough analysis of the multi-level supply-side barriers across researchers, policymakers, and industry professionals. Searches were performed in Web of Science, SCOPUS, PubMed, and IEEE Xplore between June and July 2023. Publications between 2019 and 2023 were considered for analysis (n = 176). Content was coded following a PICO structure and the results were reported following the PRISMA checklist. We found that technological and knowledge barriers were the most identified, followed by economic, regulatory, supply stability, and behavioral challenges. Moreover, we found that 82% of the documents identified more than one barrier, reflecting the complex interaction between the different challenges in the field. Fostering interdisciplinary collaboration, establishing clear regulatory frameworks, and enhancing communication strategies are relevant recommendations for overcoming these barriers. These findings draft a multifaceted roadmap of the key barriers in the commercialization of new, sustainable biopolymer production technologies, and carry significant implications for future research, policy development, and industry practices.

With the increased frequency, intensity and duration of extreme weather events potentiated by climate change, a better understanding of social systems’ resilience and adaptation strategies to these has been established as a research priority at the individual and community levels. Because such events have the potential to interfere with individuals’ current needs and goals, this motivates them to evaluate the demands posed by the event and the available resources to cope with them. This, in turn, greatly determines the implemented coping strategies’ effectiveness. Exploring these demands and resources appraisals by coding their indicators and decoding their functions is an important step in promoting resilience and adaptation strategies, in face of future extreme weather events. As a contribution, we propose a theory-driven data collection and coding framework (DeCodeR) for analysing such appraisals, grounded on the Biopsychosocial Model of Challenge and Threat Appraisals (BPS Model). This framework was pilot tested with a sample of 159 participants (33 male; 126 female), and further specified in terms of sub-categories of Demands (Danger; Effort; Uncertainty) and Resources (Knowledge, Skills and Abilities; Dispositions; External Support) that may emerge in extreme weather events. Policymakers, practitioners and researchers can capitalize on this work and develop evidence-based strategies to promote human resilience and adaptation to extreme weather events, based on identified resources/demands. This can be achieved by enhancing individual’s personal and social/community resources to cope with the demands posed by present and future events.

Monitoring how different people – as ‘social sensors’ – evaluate and respond to crisis such as pandemics, allows tailoring crisis communication to the social perceptions of the situation, at different moments. To gather such evidence, we proposed a index of social perceptions of systemic risk (SPSR), as an indicator of a situational threat compromising risks to physical health, psychological health, the economy, social relations, health system, and others. This indicator was the core of a social sensing approach applied to crisis situations, implemented during the COVID-19 pandemic through a content analysis of more than 130.000 public comments from Facebook™ users, in COVID-19 related publications. This content coding allowed creating a SPSR index monitored during a one-year descriptive longitudinal analysis. This index correlated with co-occurring events within the social system, namely epidemiological indicators across measurement cycles (e.g. new deaths; cumulative number of infection cases; Intensive Care Unit hospitalizations) and tended to reflect the epidemiological situation severity (e.g. with the highest level registered during the worst pandemic wave). However, discrepancies also occurred, with high SPSR registered in a low severity situation, i.e. low number of hospitalizations and deaths (e.g. school year beginning), or low SPSR in a high severity situation (e.g. 2nd pandemic wave during Christmas), showing other factors beyond the epidemiological situation contributing to the social perceptions. After each ‘crisis period’ with SPSR peaking, there was a ‘restoration period’, consistently decreasing towards average levels of the previous measurement cycle. This can either indicate social resilience (recovery and resources potentiation) or risk attenuation after a high-severity period. This study serves as preliminary proof of concept of a crises social sensing approach, enabling monitoring of social system dynamics for various crisis types, such as health crisis or the climate crisis.

Vulnerability to heat waves and their negative effects on health vary not only due to individual factors but also due to situational factors, such as time and geography. Hence, we explored seasonal variations and predictors of heat wave feelings of threat across different heat wave geographical susceptibility locations in Portugal. A total of 238 Portuguese residents responded to a web‐based longitudinal survey: before the summer, during a heat wave in the summer, during the summer, and after the summer. Geographical location was used as an indicator of risk exposure, operationalized as heat wave occurrence susceptibility (low, moderate, high). Heat wave demands and resources perceptions were assessed to compute an indicator of heat wave feelings of threat. During the heat wave, feelings of threat were higher among participants in high‐susceptibility locations, with demands outweighing resources perceptions, suggesting greater distress and coping difficulty. Regression analysis suggested that older participants and female participants living in moderate–high‐susceptibility locations had greater difficulty in recovering. Heat wave risk perception and positive affect about heat were identified as the most consistent predictors of heat wave feelings of threat, with risk perception increasing and positive affect decreasing such feelings. Participants with (individual and geographical) vulnerability profiles, who had greater difficulty in coping and recovering from heat waves, could benefit from resource‐building/enhancing interventions. In a climatic crisis context, monitoring psychological responses to heat waves (e.g., threat) may enable anticipated action to build resilience before, rather than after, the effects become damaging to physical and psychological health.