The Constructing a Digital Environment programme runs an active webinar activity. Held every three weeks, these aim to develop the digitally enabled environment to benefit scientists, policymakers, businesses, communities and individuals. We arrange our webinars in ‘series’, drawing together presentations following similar themes. Videos of all our previous webinars run are listed here and are also available on our YouTube Channel. Our current webinar series covers the use of AI in Environmental Science. The previous webinar series covers in turn each of the CDE Demonstrator Projects.
The CDE webinars showcase the latest thinking and expertise in digital technology and methodologies applied to the environment, illustrating the ‘arc’ from data gathering, its management and curation, analysis and presentation to decision makers, covering topics such as distributed networks of sensors, new sensor technology, novel forms of data informatics (e.g. data lakes, data cubes), data analytics, uncertainty handling, data labs, apps and tools to support decision makers across society.
AI in Environmental Science Series
Our seventh webinar series, led by Expert Network member Matt Fry, UKCEH, focusses on the development, use and application of Artificial Intelligence techniques in Environmental Science.
Webinar Series Listing
Friday 31st March 2023 – AI in Environmental Sciences from research developments to underlying infrastructure and policy implementation – Professor David Topping, University of Manchester- Friday 21st April 2023 – Are plankton nets a thing of the past? How we can use AI for real-time high-resolution plankton monitoring? – Dr Sari Giering and Dr Robert Blackwell, National Oceanography Centre; The Centre for Environment, Fisheries and Aquaculture Science
- Friday 12th May 2023 – GraphCast: Learning skillful medium-range global weather forecasting – Dr Peter Battaglia, DeepMind
- Friday 2nd June 2023 – AI for on the ground biodiversity monitoring – Dr Tom August, UKCEH
- Friday 23rd June 2023 – Data Learning: Integrating Data Assimilation and Machine Learning for reliable AI models – Dr Rossella Arcucci, Imperial College London
- Friday 14th July 2023 – AI for Biological Imaging and Sensing – Professor Iain Styles, Queen’s University Belfast
- Friday 4th August 2023 – Tackling diverse environmental prediction tasks with neural processes
– Mr Tom Andersson, British Antarctic Survey
AI in Environmental Sciences from research developments to underlying infrastructure and policy implementation
Professor David Topping, University of Manchester
Friday 31th March 2023
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Prof. David Topping (david.topping@manchester.ac.uk)
https://www.digital-solutions.uk
The session was convened by Digital Champion Matt Fry
Are plankton nets a thing of the past? How we can use AI for real-time high-resolution plankton monitoring?
Dr Sari Giering, NOC and Dr Robert Blackwell, CEFAS
Friday 21st April 2023
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Dr Sarah L.C. Giering (s.giering@noc.ac.uk), Dr Robert Blackwell (robert.blackwell@cefas.gov.ukrobert.blackwell@cefas.gov.uk)
The session was convened by Digital Champion Matt Fry
GraphCast: Learning skillful medium-range global weather forecasting
Dr Peter Battaglia, DeepMind
Friday 12th May 2023
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Dr Peter Battaglia (peterbattaglia@deepmind.com)
Google Scholar, Twitter
Google DeepMind
The session was convened by Digital Champion Matt Fry
AI for on the ground biodiversity monitoring
Dr Tom August, Computational Ecologist, UKCEH
Friday 2nd June 2023
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Dr Tom August (tomaug@ceh.ac.uk)
The session was convened by Digital Champion Matt Fry
Data Learning: Integrating Data Assimilation and Machine Learning for reliable AI models
Dr Rossella Arcucci, Imperial College London
Friday 23rd June 2023
Click above to download the brochure
Dr Rossella Arucci (r.arcucci@imperial.ac.uk)
The session was convened by Digital Champion Matt Fry
AI for biological imaging and sensing
Professor Iain Styles, Queen’s University Belfast
Friday 14th July 2023
Click above to download the brochure
Professor Iain Styles (i.styles@qub.ac.uk)
The session was convened by Digital Champion Matt Fry
Tackling diverse environmental prediction tasks with neural processes
Tom Andersson, British Antarctic Survey
Friday 4th August 2023
Click above to download the brochure
Tom Andersson (tomand@bas.ac.uk)
The session was convened by Digital Champion Matt Fry
If you have a topic you’d like to see featured in one of our Webinars, or would like to be considered as a speaker, please let us know below in the comments or contact spfdigienv@cranfield.ac.uk.