World Environment Day

World Environment Day (WED) is celebrated annually on 5th June and encourages awareness and action for the protection of the environment.

We invite you to join us in exploring environmental Data Science and AI research and its applications of the present and future. Unpacking the environmental issues that affect us all, the day will feature research into sustainability and the environment.

Topics to be discussed are the existing and prospective challenges we face of our Global to Local Environment Exploration (GLEE) and the critical need to invest in a sustainable future, maximise all our research capabilities and examine the environment we create, work and live in. Please join us to discuss with some of the UK's leading Data Science & AI researchers and create connections in this rapidly expanding, cross-disciplinary landscape.

We encourage all UK Universities wanting to expand their Data Science and AI Network and who are looking to join the Alan Turing Institute University Network on to join us for this event on 5th June 2023. You can make connections with colleagues, researchers and meet potential new partners from a national ecosystem and of course, ask questions.

Meet the successful team behind project Frontier, racing towards the Government's Ten Point Plan for a green revolution. This event will be hosted on Campus at the University of Warwick’s Radcliffe Conference Centre from 09:30am to 5:00pm.

Click here to register your attendance for the event.

Our Keynote Speakers

Professor Theo Damoulas

Theo is a Professor in Machine Learning and Data Science and is a Turing AI Fellow (2021-2026). His research interests are in probabilistic machine learning and Bayesian statistics with an emphasis on the study and integration of various forms of structure and inductive biases.

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Professor Ruchi Choudhary

Ruchi is a Professor of Architectural Engineering at Cambridge University. Her research interest covers simulation-based methodologies for the decarbonisation of buildings, uncertainty quantification in building simulation models; the integration of novel building technologies and renewable energy supply systems.

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Doctor Jonathan Smith

Jonathan is a AI and Machine Learning Research Scientist at British Antarctic Survey. His research focus is on automating navigational route planning and decision-making for marine ships and autonomous vehicles, to minimise carbon usage and meet the UK's NetZero 2040 target.

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Doctor Adam Sobey

Adam is an Associate Professor in the Maritime Engineering Group at the University of Southampton and the Group Lead for Marine and Maritime in the Data-Centric Engineering Programme of the Alan Turing Institute. His research interest is in unsupervised learning, machine learning and evolutionary computation approaches.

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Professor Amin Al-Habaibeh

Professor Amin Al-Habaibeh is a Professor of Intelligent Engineering Systems within the Product Design team at Nottingham Trent University. His research focuses include product design and innovation, automation, energy, condition monitoring and artificial intelligence.

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Postgraduate Researcher Majdi Fanous

Majdi Fanous is a postgraduate researcher at the Centre of Computational Science and Mathematical Modelling (CSM) at Coventry University. His research interests are in developing fast, efficient, and accurate machine learning surrogate models to replace complex numerical models.

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Event Details

Date: Monday 5th June 2023

Time: 9:30am - 5:00pm

Venue: Radcliffe Conference Centre (Space 1), University of Warwick

Event Agenda