Orchid Project

Orchid Blog

A workshop to build future disaster scenarios

Created on 11 March 2014, 12:23, by Steve Beard

 Having built four future scenarios in our last workshop with ORCHID team members, Victoria and I went back to Building 32 to brainstorm possible disasters that could emerge from each of them. Working with Alex Rogers, Gopal Ramchum, Trung Dong Huynh and Victor Naroditskiy, we established a framework for thinking about disasters that borrowed equally […]

Bayesian search theory found of the lost Air France Flight 447

Created on 11 March 2014, 11:52, by T. Dong Huynh

Bayesian search theory (http://en.wikipedia.org/wiki/Bayesian_search_theory) was applied by a company called Metron (http://www.sarapp.com/about_us.html) to help recover the flight recorders in the Air France Flight 447 disaster of 2009 (http://en.wikipedia.org/wiki/Air_France_Flight_447). Read more at: https://www.informs.org/ORMS-Today/Public-Articles/August-Volume-38-Number-4/In-Search-of-Air-France-Flight-447

Gold Command during a global accident

Created on 6 March 2014, 20:20, by Steve Beard

Let’s say the big one has happened. The global accident has emerged, there is panic and disruption all over the world. Civil wars rage, nation-states crumble and corporations implode. Who is in charge? A good case could be made to say that it’s the United Nations (UN) Office for the Coordination of Humanitarian Affairs (OCHA). […]

Cyber-war, disaster response and international law

Created on 4 March 2014, 21:25, by Steve Beard

When US President Barack Obama declared in 2009 that the North American digital infrastructure was a ‘strategic national asset’, it was the signal for the Pentagon to set up a Cyber Command at Fort Meade, Maryland. Military strategy was quick to adapt itself to the logic of ‘full-spectrum dominance’. Here was official acceptance that future […]

Crowdsourcing the weather (mPing)

Created on 26 February 2014, 21:30, by Sarvapali Ramchurn

See this article on how they are using crowdsourced reports of temperature, weather, and snow to understand the weather and make predictions: http://www.forbes.com/sites/brucedorminey/2014/02/26/crowdsourcing-as-the-future-of-weather-forecasting/ The US Meteorological services have launched this app to help you do this too: http://www.nssl.noaa.gov/projects/ping/ Gopal

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Disaster response

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