![map](https://storage.googleapis.com/kaggle-media/competitions/LANL/nik-shuliahin-585307-unsplash.jpg)
Forecasting earthquakes is one of the most important problems in Earth science because of their devastating consequences. Current scientific studies related to earthquake forecasting focus on three key points:
when
the event will occur,
where
it will occur, and
how large
it will be.
In this competition, you will address
when
the earthquake will take place. Specifically, you’ll predict the time remaining before laboratory earthquakes occur from real-time seismic data.
If this challenge is solved and the physics are ultimately shown to scale from the laboratory to the field, researchers will have the potential to improve earthquake hazard assessments that could save lives and billions of dollars in infrastructure.
This challenge is hosted by
[Los Alamos National Laboratory](https://www.lanl.gov/)
which enhances national security by ensuring the safety of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
Acknowledgments:
![LANL](https://storage.googleapis.com/kaggle-media/competitions/kaggle/11000/logos/thumb76_76.png?t=2019-01-03-23-31-16)
Geophysics Group:
The competition builds on initial work from Bertrand Rouet-Leduc, Claudia Hulbert, and Paul Johnson. B. Rouet-Leduc prepared the data for the competition.
[](https://www.psu.edu//)
Department of Geosciences:
Data are from experiments performed by  Chas Bolton, Jacques Riviere, Paul Johnson and Prof. Chris Marone.
[](https://www.purdue.edu/)
Department of Physics & Astronomy:
This competition stemmed from the DOE Council workshop “Information is in the Noise: Signatures of Evolving Fracture and Fracture Networks” held March 2018 that was organized by Prof. Laura J. Pyrak-Nolte.
Department of Energy
Office of Science, Basic Energy Sciences, Chemical Sciences, Geosciences and Biosciences Division:
The Geosciences core research.
Photo by Nik Shuliahin on Unsplash