SDM: Machine Learning Advances for Rare Events in Earth | Non-Fellow Ticket

SDM: Machine Learning Advances for Rare Events in Earth | Non-Fellow Ticket

By Royal Astronomical Society

This is part of our Specialist Discussion Meeting Programme. Hybrid Event. This ticket is for Non-Fellows only.

Date and time

Location

The Royal Astronomical Society

Piccadilly London W1J 0BQ United Kingdom

Good to know

Highlights

  • 5 hours, 35 minutes
  • In person

Refund Policy

Refunds up to 7 days before event

About this event

Science & Tech • Science

Specialist Discussion Meeting:


Machine Learning advances for Rare Events in Solid Earth Science

Our Specialist Discussion centres upon the transformative potential of recent machine learning advances during the most critical moments when earthquakes, tsunamis, and volcanic eruptions threaten livelihoods, the natural environment, and human lives. These catastrophic events demand immediate, high-resolution data products that traditionally required days to months for generation. Advanced ML algorithms combined with cloud computing infrastructure present extraordinary opportunities to revolutionise scientific emergency response capabilities. The above may have transformative power on scientific response in the near future touching upon a range of topics: from the rapid deployment of optimised monitoring networks, the generation of descriptive datasets that clarify the evolving earthquake and volcanic activity in extraordinary detail, and the development of hybrid forecast models that leverage ML to predict aftershock sequences, volcanic eruption patterns, and tsunami propagation with unprecedented accuracy among others.

Distinguished invited speakers from leading US and EU universities and research institutes will present cutting-edge developments in ML-driven solid earth science. These presentations, combined with showcase studies from early career scientists, will illuminate transformative examples demonstrating real-world impact. Our comprehensive round table discussion will engage senior researchers, emerging scientists from solid earth and data science communities, alongside decision-makers and disaster mitigation specialists to address both scientific advancement opportunities and the challenges that lie ahead for ML-based disaster response systems.

The detailed programme of the Specialist discussion will be given shortly.


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Royal Astronomical Society

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From £6.13
Jan 9 · 10:00 AM GMT