[Turing-Southampton] Turing Research Project Presentations - 18th November | Newcastle University
Susan Davies
sdd1 at soton.ac.uk
Thu Nov 4 09:54:02 GMT 2021
***apologies if you receive this more than once***
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Thursday 18th November, 11am - 12pm
https://www.eventbrite.co.uk/e/203065824347
Automating Data Visualization
Presenter: Professor Nick Holliman<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpeople%2Fresearchers%2Fnick-holliman&data=04%7C01%7Csdd1%40soton.ac.uk%7C8a060e88643942ccd1bc08d99f784c19%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637716161871070718%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=vaJY%2FuqkIHROwu7LvHIATXdfv7def5biRwwyJ9BgM3Y%3D&reserved=0>
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<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fterapixel.wasabi.1024.s3.eu-central-1.wasabisys.com%2Fvtour%2Findex.html&data=04%7C01%7Csdd1%40soton.ac.uk%7C8a060e88643942ccd1bc08d99f784c19%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637716161871070718%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=iQwZpIJ85%2BAQGS3KlcqPWsAkq7nnDpBXV4d6pmzp3FQ%3D&reserved=0>
Streaming data modelling for real-time monitoring and forecasting
Presenter: Professor Darren Wilkinson<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fpeople%2Fresearchers%2Fdarren-wilkinson&data=04%7C01%7Csdd1%40soton.ac.uk%7C8a060e88643942ccd1bc08d99f784c19%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637716161871080712%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=T1BdtLScsuoJQ99rsv%2FLHKWtGVSdwD6glr76%2BZVPdqk%3D&reserved=0>
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.
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