The ORCHID Project – Making the most of citizen science

What next for citizen science? Professor Steve Roberts on how advanced maths can make the findings of this exciting new field more useful.

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A hybrid exact algorithm for complete set partitioning

2016
Tomasz Michalak and Talal Rahwan and Edith Elkind and Michael Wooldridge and Nicholas R Jennings
Community-Based Bayesian Aggregation Models for Crowdsourcing

2014
Matteo Venanzi and John Guiver and Gabriella Kazai and Pushmeet Kohli and Milad Shokouhi
Introducing Pattern Cards for Mixed Reality Game Design

2014
Richard Wetzel
Regret-based multi-agent coordination with uncertain task rewards

2014
Feng Wu and Nicholas R Jennings
Provenance: An Introduction to PROV.

2013
Luc Moreau and Paul Groth

We are developing systems that allow first responders, unmanned ground and aerial vehicles, and software agents to work effectively together.

We are developing novel algorithms and interfaces to optimise energy consumption and coordinate consumers and producers in the smart grid.

We are developing approaches that make full use of the skills, preferences and capabilities of citizen scientists.

Orchid Project