Public Safety

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, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katzy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares

Category Data Analysis
Methodology Case Studies
Objective Effectiveness

Region South America

Sector Public Safety

Police.uk and Data.police.uk: Developing Open Crime and Justice Data for the UK

Amanda M Smith, Tom Heath

Category Open Data
Methodology Case Studies
Objective Legitimacy

Sector Public Safety

Embracing Crowdsourcing: A Strategy for State and Local Governments Approaching “Whole Community” Emergency Planning

Jesse A. Sievers

Methodology Conceptual Framework

Region United States

Sector Public Safety

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Nowcasting Disaster Damage

Yury Kryvasheyeu, Haohui Chena, Nick Obradovich, Esteban Moroe, Pascal Van Hentenryck, James Fowler, Manuel Cebrian

Category Data Analysis
Objective Effectiveness

Region United States

Sector Public Safety

Crowdsourced earthquake early warning

Sarah E. Minson, Benjamin A. Brooks, Craig L. Glennie, Jessica R. Murray, John O. Langbein, Susan E. Owen, Thomas H. Heaton, Robert A. Iannucci, Darren L. Hauser

Methodology Quantitative Analysis
Objective Effectiveness

Sector Public Safety