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Presenting the Turing Fellow Research Projects

In partnership with The Alan Turing Institute, the University of Southampton invites you to watch Turing Fellows Tom Gernon and George Konstantinidis present the research and findings of their Pilot Projects.

11:00-11:05 - Introduction by Peter Smith, Turing University Lead
11:05-11:30 - Presentation by Tom Gernon: Machine learning of seismicity induced by hydraulic fracturing.
In this talk, Tom Gernon will describe how machine learning can be applied to forecast earthquakes triggered by underground fluid injection, and thereby improve real-time regulation practices in fracking and wastewater disposal regions. As an example, he will show how Bayesian networks can be used to model join conditional dependencies between both natural (e.g. geology, seismicity) and operational (e.g.. injection volumes, rates and dept.) parameters. This approach is key to unlocking spatial complexity and is applicable to geothermal and carbon capture and storage projects including those in the UK.
11:30-11:55 - Presentation by George Konstantinidis: Open-source private data integration.
In this talk, George is going to present the latest developments on the new area of collaborative data privacy. In these scenarios the service provider is considered a friend and not an adversary to the data owner, thus privacy enforcements is collaborative and does not rely on encryption of distortion of data. Instead, this area investigates and develops mechanisms for users to encode their custom requirements, data consent, privacy preferences and data policies in a machine-processable language to form data usage contracts that can be automatically (or algorithmically) respected. George will discuss the formal foundations of the area, connections to data privacy, algorithms and open source implementations for supporting these automated agreements in data management.
11:55-12:05 - Closing remarks by Peter Smith

Oct 15, 2021 11:00 AM in London