Alaska landslide seismologyproject period: july 1, 2025 - june 30, 2026AWARD purposethe purpose of this cooperative agreement is to strengthen research, data collection, andmonitoring for the alaska…

This $365,000 Cooperative Agreement awarded by the U.S. Geological Survey (USGS) under the Research and Data Collection program (CFDA 15.808) will support research, data collection, and monitoring activities for the Alaska Landslide Program. Specifically, the University of Alaska Fairbanks, the award recipient, will:

• Acquire research-grade seismic and related data in the vicinity of the Barry Landslide, coordinated with USGS and other partners
• Develop algorithms and software to detect, disseminate, and visualize recent landslides
• Publish geophysical data and open-source algorithms through online clearinghouses
• Supervise students, postdocs, and staff in using geophysical methods for detecting and locating catastrophic landslide failures
• Engage in active collaboration with USGS scientists to share ideas, support interagency meetings, and include USGS personnel on graduate student committees

The goal of these efforts is to strengthen research, data collection, and monitoring capabilities for the Alaska Landslide Program, with the ultimate aim of improving public safety in landslide-prone regions of the state.

Alaska landslide seismologyproject period: july 1, 2025 - june 30, 2026AWARD purposethe purpose of this cooperative agreement is to strengthen research, data collection, andmonitoring for the alaska landslide program. Specifically, this cooperative agreement will:maintain research instrumentation in the vicinity of the barry landslide analyze seismic data todetect the occurrence of large landslides in western prince william sound grow the database oflandslide observations by expanding the region of detection across southern alaska andformalize the rapid dissemination of landslide information by placing IT in the advancednational seismic system comprehensive catalog, (AKA, comcat).activities to be performedunder this award the recipient will acquire research-grade seismic and related data in the barry landslidevicinity, coordinated with the instrumentation efforts of USGS, dggs ntwc. The recipient will develop algorithms and software to detect, disseminate, and visualize recent landslides. The recipient will publish geophysical data and open-source algorithms through online clearinghouses. The recipient will supervise students, postdocs, and university staff in the use of geophysical methods fordetecting and locating catastrophic landslide failures. The recipient will engage in active and regular collaboration with USGS scientists. This includes: sharingideas and hypotheses that are still untested or in development supporting various interagencymeetings with content and participation and where appropriate, including USGS scientists ingraduate student committees.deliverables and expected outcomesopen-source software, raw data made available through public-facing archives, scientific papers, information about individual landslides placed in the anss comcat catalog.intended beneficiarieswhile this is a research effort, the goals are driven by public safety. Citizens living in landslidecountry will benefit as will those living in coastal communities where landslide tsunamis occur.subrecipient activitiesnone.