Delft University is now taking the lead in innovative design when it comes to making use of social media for incident response. A group of researchers with Fabian Abel, Claudia Hauff, Geert-Jan Houben, Richard Stronkman and Ke Tao focusing on Social Semantic Web research have now launched a great innovation called Twitcident, where they harvest social media insights after an incident has happened. Read more about the research at: http://wis.ewi.tudelft.nl/twitcident/

Additional information could also be found at:
Website: http://twitcident.com
Blog: http://blog.twitcident.com (in Dutch)
Twitter: @twitcidentapp

• Fabian Abel, Claudia Hauff, Geert-Jan Houben, Richard Stronkman, Ke Tao. Semantics + Filtering + Search = Twitcident. Exploring Information in Social Web Streams. In Proceedings of International Conference on Hypertext and Social Media (Hypertext), Milwaukee, USA, 2012 [pdf]

In relation to the above work, I would also like to promote the following papers:

• Johansson, F.; Brynielsson, J.; Horling, P.; Malm, M.; Martenson, C.; Truve, S.; Rosell, M.; , “Detecting Emergent Conflicts through Web Mining and Visualization,” Intelligence and Security Informatics Conference (EISIC), 2011 European , vol., no., pp.346-353, 12-14 Sept. 2011 [pdf]
• Sitaram Asur and Bernardo A. Huberman. 2010. Predicting the Future with Social Media. In Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology – Volume 01 (WI-IAT ’10), Vol. 1. IEEE Computer Society, Washington, DC, USA, 492-499. DOI=10.1109/WI-IAT.2010.63 [pdf]
• Ginsberg, Jeremy, Mohebbi, Matthew H., Patel, Rajan S., Brammer, Lynnette, Smolinski, Mark S., Brilliant, Larry. Detecting influenza epidemics using search engine query data. Nature. 2009/02/19/print. Macmillan Publishers Limited. [pdf]