Improved quake recognition technology
Efforts to forecast earthquakes have been hampered for years by the lack of reliable science and technology. Intriguingly, recent advances showed that lab-engineered earthquakes can be predicted using machine learning (ML). The tremors are preceded by a cascade of micro-failure events that radiate elastic energy in a manner that foretells catastrophic failure. ML can thus predict the failure time, and in some cases, the magnitude of lab earthquakes. The EU-funded TECTONIC project will connect these results with field observations and ML to search for earthquake precursors and build predictive models for tectonic faulting. The project's multidisciplinary team aims to train the next generation of researchers in earthquake science and foster a new level of broad community collaboration.
Fields of science
Call for proposal
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