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Crowd-Sourced Earthquake Detections Integrated into Seismic Processing The goal of this project is to improve the USGS National Earthquake Information Center’s (NEIC) earthquake detection capabilities through direct integration of crowd-sourced earthquake detections with traditional, instrument-based seismic processing. During the past 6 years, the NEIC has run a crowd-sourced system, called Tweet Earthquake Dispatch (TED), which rapidly detects earthquakes worldwide using data solely mined from Twitter messages, known as “tweets.” The extensive spatial coverage and near instantaneous distribution of the tweets enable rapid detection of earthquakes often before seismic data are available in sparsely instrumented areas around the world. Although impressive for its speed, the tweet-based... Categories: Project; Types: Citation; Tags: 2016, All Funded Projects, Completed, Computational Tools and Services, Crowd sourced, All tags... Data and Information Assets, Earthquake, Global, Source Code, United States, World Wide, Fewer tags Characterization of Earthquake Damage and Effects Using Social Media Data People in the locality of earthquakes are publishing anecdotal information about the shaking within seconds of their occurrences via social network technologies, such as Twitter. In contrast, depending on the size and location of the earthquake, scientific alerts can take between two to twenty minutes to publish. The goals of this project are to assess earthquake damage and effects information, as impacts unfold, by leveraging expeditious, free and ubiquitous social-media data to enhance our response to earthquake damage and effects. Principal Investigator : Michelle Guy, Paul S Earle Cooperator/Partner : Scott R Horvath, Douglas Bausch, Gregory M Smoczyk The project leverages an existing system that performs... Categories: Project; Tags: 2014, All Funded Projects, Completed, Computational Tools and Services, Data Release, All tags... Data and Information Assets, Source Code, Web Application, Web Service, Fewer tags