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Global earthquake detection and warning using Android phones.

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Title: Global earthquake detection and warning using Android phones.
Authors: Allen, Richard M., Barski, Alexei, Berman, Micah, Bosch, Robert, Cho, Youngmin, Jiang, Xia Summer, Lee, Yun-Ling, Malkos, Steve, Mousavi, S. Mostafa, Robertson, Patrick, Spooner, Boone, Stogaitis, Marc, Thiruverahan, Nivetha, Wimpey, Greg
Source: Science. 7/17/2025, Vol. 389 Issue 6757, p254-259. 6p.
Subjects: Earthquakes, Android (Operating system), Smartphones, Seismology, Algorithms
Abstract: Earthquake early-warning systems are increasingly being deployed as a strategy to reduce losses in earthquakes, but the regional seismic networks they require do not exist in many earthquake-prone countries. We use the global Android smartphone network to develop an earthquake detection capability, an alert delivery system, and a user feedback framework. Over 3 years of operation, the system detected an average of 312 earthquakes per month with magnitudes from M 1.9 to M 7.8 in Türkiye. Alerts were delivered in 98 countries for earthquakes with M ≥4.5, corresponding to ~60 events and 18 million alerts per month. User feedback shows that 85% of people receiving an alert felt shaking, and 36, 28, and 23% received the alert before, during, and after shaking, respectively. We show how smartphone-based earthquake detection algorithms can be implemented at scale and improved through postevent analysis. Editor's summary: Earthquake early warning systems depend on real-time analysis of waves detected at nearby seismic stations or by smartphone accelerometers. The latter approach, although less sensitive, is a promising way to offer alerts in areas without seismic stations. In a major step forward, Allen et al. describe the outcomes of an alert system rolled out to Android phones in 98 countries, which increased total warning system access 10-fold to 2.5 billion people over 3 years. Issuing more than 1200 alerts over that period, the system recorded low-magnitude errors and provided preshake warnings consistent with other detection systems but on a much larger scale. —Angela Hessler [ABSTRACT FROM AUTHOR]
Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Global earthquake detection and warning using Android phones.
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  Data: Earthquake early-warning systems are increasingly being deployed as a strategy to reduce losses in earthquakes, but the regional seismic networks they require do not exist in many earthquake-prone countries. We use the global Android smartphone network to develop an earthquake detection capability, an alert delivery system, and a user feedback framework. Over 3 years of operation, the system detected an average of 312 earthquakes per month with magnitudes from M 1.9 to M 7.8 in Türkiye. Alerts were delivered in 98 countries for earthquakes with M ≥4.5, corresponding to ~60 events and 18 million alerts per month. User feedback shows that 85% of people receiving an alert felt shaking, and 36, 28, and 23% received the alert before, during, and after shaking, respectively. We show how smartphone-based earthquake detection algorithms can be implemented at scale and improved through postevent analysis. Editor's summary: Earthquake early warning systems depend on real-time analysis of waves detected at nearby seismic stations or by smartphone accelerometers. The latter approach, although less sensitive, is a promising way to offer alerts in areas without seismic stations. In a major step forward, Allen et al. describe the outcomes of an alert system rolled out to Android phones in 98 countries, which increased total warning system access 10-fold to 2.5 billion people over 3 years. Issuing more than 1200 alerts over that period, the system recorded low-magnitude errors and provided preshake warnings consistent with other detection systems but on a much larger scale. —Angela Hessler [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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        Type: general
      – SubjectFull: Android (Operating system)
        Type: general
      – SubjectFull: Smartphones
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      – SubjectFull: Seismology
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      – SubjectFull: Algorithms
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              Text: 7/17/2025
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