Crowdsourcing, Big Data and Homeland Security

UMaine Alert

Posted: April 19, 2024 - 1:32 PM

At approximately 9:24 a.m. on Friday, April 19, a University of Maine graduate student was struck by a university vehicle on Long Road at the University of Maine campus in Orono. The student reports that they are at a local hospital with minor injuries.

Emergency services, including the Orono Fire Department, University Volunteer Ambulance Corps, University of Maine Police Department, Orono Police Department and Penobscot County Sheriff’s Office responded to the scene.

The university vehicle involved in the incident was a Chevrolet Express van. It was being operated by a university employee.

Counseling services and support are available for students, faculty or staff who may have been affected. The Counseling Center can be reached at 207-581-1392 and the Dean of Students Office can be reached at 207-581-1406.

The scene has been cleared and Long Road is now accessible. An investigation is being conducted by the University of Maine Police Department with assistance from the Penobscot County Sheriff’s Office Crash Reconstruction Unit. Any witnesses to the incident are encouraged to contact Lt. Noel Santiago at noel.santiago@maine.edu.

September 10, 2014 News and Events, Publications

George Markowsky, Crowdsourcing, Big Data and Homeland Security, Proc. 2013 IEEE International Conference on Technologies for Homeland Security(HST2013), Waltham, Massachusetts, USA, pp. 772-778, November 12-14, 2013.

Abstract:
This paper discusses ways that crowdsourcing can help homeland security. It reviews some successes in this area, suggests some directions and points out some obstacles.

UMaine Alert

School of Computing and Information Science

Crowdsourcing, Big Data and Homeland Security

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