The paper “Community-Based Bayesian Aggregation Models for Crowdsourcing” by the ORCHID PhD student Matteo Venanzi was the best paper runner up at the 23rd International World Wide Web conference (WWW 2014). http://www2014.kr/
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.
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