The EU’s Marie Skłodowska-Curie Actions (MSCA) funded TREAD project (daTa and pRocesses in sEismic hAzarD - https://tread-horizon.eu/) is paving the way for seismic hazard scientists to tackle earthquake forecasting complexities in Europe and the Mediterranean. While earthquake prediction remains challenging, TREAD focuses on probabilistic forecasting based on probability, particularly in regions with intricate tectonic contexts.
TREAD's objectives include a holistic approach in seismic hazard assessment, recognizing the unique properties of earthquake sources and tectonics in these regions. To achieve this, TREAD integrates small-scale laboratory experiments with large-scale observations and emphasizes interdisciplinary interactions to better anticipate seismic hazards. TREAD will train a new generation of seismic hazard scientists to tackle the challenges of earthquake forecasting in complex tectonic contexts such as the European and Mediterranean regions.
GEM, the Global Earthquake Model Foundation, will supervise two PhD students, in collaboration with the University of Milano Bicocca and the University of Chieti-Pescara.
Under Project #10, GEM’s Head of Seismic Hazards, Marco Pagani, leads the exploration of innovative approaches to modeling distributed seismicity. This research is expected to mainly influence seismic hazard modeling in moderate and low seismicity regions.
Project #11, led by GEM's Head of Risk Engineering, Vitor Silva, assesses the impact of advanced hazard modeling approaches on earthquake risk. It investigates metrics such as collapsed structures, fatalities, and economic losses for earthquake scenarios and probabilistic seismic risk analysis. This project collaborates closely with public partners, offering insights for disaster risk management and insurance industries.
GEM’s involvement in the TREAD project underscores its commitment to advancing seismic hazard and risk assessment through the training of the next generation of scientists and engineers, ultimately contributing to more resilient communities in earthquake-prone areas.
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