College Park / In building / State University of New York / University of Maryland / University of California / /
IndustryTerm
news media / enrichment processing / satellite meteorological data / large-scale human behavior using global news media / online network / prominent systems / web searches / data mining algorithms / oil pipeline / online users / urban transportation / social media / satellite data / Internet traffic / generation systems / social media sites / linguistic processing / above processing / web-pages / social networks / online community / /
NaturalFeature
Gulf of Mexico / /
Organization
Cambridge University / State University of New York / Albany / US Government / University of Maryland / College Park / University of California at San Diego / Virginia Tech / National Aeronautics and Space Administration / American Political Science Association / University of California at Santa Cruz / /
Person
David Maresk / Patrick Butler / Aravind Srinivasan / Liang Zhao / Bert Huang / Nathan Self / Chris Kuhlman / Ting Hua / Graham Katz / Jim Ford / Jaime Arredondok / Andy Doyle / Jose Cadena / Salvador El Salvador / Anil Vullikanti / Ilya Zavorin / Chris Ackermann / Youssef Fayed / Lise Getoor / Wei Wang / Kristen Summers / Dynamic Query / Tien Lu / Francisco Morazan / /
Position
General / Model / Expansion Volume-based Model MLE Planned Protest Cascades Model / representative / analyst / /
Product
Counts / vs Quality Tradeoff / /
ProvinceOrState
Virginia / Maryland / New York / California / /
PublishedMedium
PLoS One / Conflict Management and Peace Science / /
Region
Gulf of Mexico / Middle East / Latin America / /
Technology
JSON / API / smart phones / Applying BASIS technologies / machine learning / data mining algorithms / data mining / /
‘Beating the News’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators Naren Ramakrishnan∗, Patrick Butler∗, Sathappan Muthiah∗, Nathan Self∗, Rupinder Khandpur∗, Parang Saraf∗, Wei Wang∗