Join us on Thursday 18th November, 11:00 - 12:00 (GMT) to hear about our Turing-funded research project, their successes and impact, as well as details of their collaborations and next steps.

Automating Data Visualization

Presenter: Professor Nick Holliman

We have sought to demonstrate how novel approaches to data visualization can be enabled using cloud computing at scale, how automatic metrics can be used for assessing data visualizations and latterly a key strand has become the visualization of uncertainty for decision makers.

Publicly visible outputs to date include the Terascope one trillion pixel image: http://terapixel.wasabi.1024.s3.eu-central-1.wasabisys.com/vtour/index.html

Streaming data modelling for real-time monitoring and forecasting

Presenter: Professor Darren Wilkinson

We seek to address a key challenge of modern data science: the development of scalable algorithms for extracting useful information from large, complex, heterogeneous and ever-growing data sets in (near) real-time.

The project combines sequential statistical modelling with computational frameworks for streaming data processing, making significant use of functional programming approaches.

The techniques will be illustrated using live streaming data from Newcastle’s Urban Observatory – one of the largest public sources of smart-city data in the world. Data from environmental sensors which are both multivariate and spatially distributed provide a challenging use case for on-line statistical modelling.

For the full series of Presenting the Turing Fellow Research Projects taking place across The Alan Turing Institute’s university partner network please click here