H2020
Europeo
ExpectedOutcome:Projects’ results are expected to contribute to some of following outcomes:
Advanced disaster / crisis simulations and impact assessments supporting decision-making processes based on best available knowledge, adaptive strategies and methodologies, including accurate exposure data and adequate vulnerability assessments, quantitative hazard information with comparable metrics across different risks (especially addressing multi-hazard situations), including disaster loss data and qualitative information issued from historical testimonies and case studies.Risk and resilience assessment solutions, studies and outputs in support of long-term multi-hazard management strategies (e.g. climate adaptation, disaster risk reduction and prevention and mitigation strategies) with a focus on vulnerable regions prone to multiple hazard occurrences, involving interdisciplinary teams in different scientific and technological fields (such as geology, climate, man-made hazards, critical infrastructures and assets, history, health sciences, economics and social sciences). This requires novel interdisciplinary risk approaches to assessing human-hazard interactions, and reach...
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ExpectedOutcome:Projects’ results are expected to contribute to some of following outcomes:
Advanced disaster / crisis simulations and impact assessments supporting decision-making processes based on best available knowledge, adaptive strategies and methodologies, including accurate exposure data and adequate vulnerability assessments, quantitative hazard information with comparable metrics across different risks (especially addressing multi-hazard situations), including disaster loss data and qualitative information issued from historical testimonies and case studies.Risk and resilience assessment solutions, studies and outputs in support of long-term multi-hazard management strategies (e.g. climate adaptation, disaster risk reduction and prevention and mitigation strategies) with a focus on vulnerable regions prone to multiple hazard occurrences, involving interdisciplinary teams in different scientific and technological fields (such as geology, climate, man-made hazards, critical infrastructures and assets, history, health sciences, economics and social sciences). This requires novel interdisciplinary risk approaches to assessing human-hazard interactions, and reaching the most vulnerable segments of the community. Advanced data management, information update and forecast / early warning systems (including via satellite and in-situ observation) in support of evolving public understanding and decision-making needs in the field of multi-hazard preparedness policy and planning, taking into account data uncertainties and including the determination of baseline scenarios and corresponding risk thresholds, as well as data potentially available (e.g. from surveys, earth observations, historic databases, academic and business/private sector repositories, climate projections, etc.) and near-real-time impact simulations combined with data-farming approaches.Communication and dissemination platforms supporting an increased dialogue and cooperation between scientific, technological, practitioners, policy-makers, private sector (e.g. insurers), NGOs, citizens and community-based organisations for sharing and building-up the knowledge of hazards and related risks for a comprehensive awareness (and preparedness) of the risk at all levels (risk memory and implementation of lessons learnt into policy actions), taking into account various uncertainties that may affect decision-making.
Scope:The awareness of multiple hazards and the understanding and the assessment of risks and their consequences is a critical and fundamental step towards the development of local, national and international policies and strategies within all phases of the disaster risk management cycle, in particular preparedness. The availability of reliable scientific data and information (including historical occurrences and climate projections) to anticipate future disaster events or crisis situations, considering uncertainties inherent to natural systems characterization, and effectively support decision-making processes at all levels represents a global challenge for both the research community and governance institutions.
Actions at national/local and global/regional levels rely on knowledge of risks in all its dimension and changeable nature. A strengthened understanding of risks by the population (and decision-makers) is needed, based on both records of past events and forecasts and projections (with quantified uncertainties) that reflect consideration of evolving trends and dynamics over time and space. This is particularly acute in the case of multi-hazard risks, i.e. occurrences of several disasters either in cascade or at once. Moreover, the work needs to be complemented with improved knowledge on how risk awareness and actions are influenced and shaped by diverse aspects such as past events, cultures and traditions.
The understanding of multiple disaster risks (and related awareness) relies on knowledge gained about historical data and information about past events and related lessons learned as well as the ability to forecast and assess future risks under uncertainty (including impacts of pandemics, as well as global change, including climate trends and earth system and environment dynamics). These complex interactions between human decisions and multiple hazards require novel risk assessment approaches such as agent-based modelling and systems dynamics methods. This will result in improved preparedness actions built upon these analyses (e.g. defining evacuation routes, responsiveness of health services, etc.). Social media also plays a role in disaster analytics. For example, an increasing number of location-based social network services can provide time-stamped, geo-located data that opens new opportunities and solutions to a wide range of challenges by analysing the extracted public behaviour responses from social media before, during and after disaster events. When using social media data, the design for data collection and analysis has to respect fundamental rights, privacy and data protection and analyses have to take related societal effects in online and offline environments into account as well as possible disinformation and fake news. Also, risk awareness, understanding and preparedness are unequally distributed along a wide range of variables (socio-economic, cultural, regional etc.) that may generate drawbacks and conflicting issues with respect to groups' vulnerability.
This topic requires the effective contribution of SSH disciplines and the involvement of SSH experts, institutions as well as the inclusion of relevant SSH expertise, in order to produce meaningful and significant effects enhancing the societal impact of the related research activities. The involvement of citizens, civil society and other societal stakeholders in co-design and co-creation should be promoted. In order to achieve the expected outcomes, international cooperation is encouraged.
Where possible and relevant, synergy-building and clustering initiatives with successful proposals in the same area should be considered, including the organisation of international conferences in close coordination with the Community for European Research and Innovation for Security (CERIS) activities and/or other international events.
Cross-cutting Priorities:International CooperationSocio-economic science and humanitiesSocietal Engagement
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