We have a publication at CHI 2015 entitled Building a Birds Eye View: Collaborative Work in Disaster Response (click to download the PDF). This paper reports an ethnomethodological study of disaster response mission planning of Rescue Global. Abstract Command and control environments ranging from transport control rooms to disaster response have long been of interest […]
We are planning to run the fourth edition of the HAIDM workshop at AAMAS 2015 in Turkey in May (4th of 5th). The deadline to submit papers is the 19th of Feb. Please find more details on our website: http://haidm.wordpress.com.
The British Science Festival is one of the largest celebrations of science and engineering in Europe, with over 250 events taking place over a week in September. This year, the festival took place in Birmingham and the ORCHID Project was invited to take part in a four day exhibition aimed at school-children aged 13-18, held […]
Malaria and Dengue Fever, spread by mosquitos, are a big public health issue in developing countries. If we could detect mosquitos and classify their species, governments and NGOs would be able to more effectively target eradication and treatment resources. Additionally, the technology could be incorporated into smoke alarm style appliances for the home that released […]
New Software Packages for Experimenting with IBCC I would like to highlight some new software packages being developed within ORCHID that will allow you test out various IBCC variants with new datasets. IBCC — or Independent Bayesian Classifier Combination, to use the full name — is a method for aggregating categorical labels from different […]
For all you keen latent force modellers out there who want to convert arbitrary (but non-periodic) stationary covariance functions to state-space form, check out Hyndman’s paper below: http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9892.1993.tb00145.x/abstract
The theme of this year’s IDDR on 13 October will be ‘Older Persons’. The UN and others have put together this survey for all of us working in disaster management: www.surveymonkey.com/s/PerceptionsIDDR14
Sam Millar, an Orchid intern, recently released an open-source Python package provstore-api which greatly facilitates storing and retrieving provenance documents on ProvStore. The packaged is registered on PyPi (hence can be quickly installed with easy_install or pip) and comes with full API documentation. If you’re working with provenance in Python, do check out his tutorial. Notes: ProvStore is […]
Today, following my post on Provenance in the 2014 National Climate Assessment, I continue to blog about applications making use of PROV. The Gazette is the UK’s official public record since 1665, The Gazette has a long and established history and has been at the heart of British public life for almost 350 years (see […]
Bayesian learning is a widely used class of techniques in the online machine learning community, especially in large scale domains, due to its conceptional simplicity and philosophical intuitions. In particular, it expresses the expert knowledge and the current belief of the world through the choice of a prior distribution, which is then subsequently updated and refined by (future) observations. […]
We are developing systems that allow first responders, unmanned ground and aerial vehicles, and software agents to work effectively together.
Learn more about Disaster response »We are developing novel algorithms and interfaces to optimise energy consumption and coordinate consumers and producers in the smart grid.
Learn more about Smart Grid »We are developing approaches that make full use of the skills, preferences and capabilities of citizen scientists.
Learn more about Citizen Science »