When: Tuesday, April 30, 2024, 6:00 PM - 7:30 PMWhere: The Peston Lecture Theatre in the Graduate Centre, Mile End Campus, 327 Mile End Road, London E1 4NA.
Speaker: Prof Cédric John, Head of Data Science for the Environment & Sustainability
The title of the lecture is Data-Driven Earth Sciences: My Journey from Fieldwork to Artificial Intelligence
Cédric recently joined QM as Professor and Head of Data Science for the Environment and Sustainability at the Digital Environment Research Institute (DERI)
Everyone is welcome to attend and the event is free, but please do register for a ticket on Eventbrite.
https://www.eventbrite.co.uk/e/inaugural-lecture-by-prof-cedric-john-tickets-820083540947
Abstract: In an era where the Earth's climate faces unprecedented challenges—marked by escalating global temperatures, the rapid melting of polar ice, and the alarming rise in sea levels—geologists possess unique expertise to delve into the planet's distant past and decipher the ancient dynamics of climate change. Earth Scientists are also uniquely positioned to understand the complex dynamics of climate change, involving the atmosphere, the oceans, the Earth’s crust, and the biosphere. Concurrently, as we navigate a world grappling with fuel poverty and inequality, alongside a burgeoning demand for cleaner energy solutions, Earth Scientists find themselves at the forefront of another critical domain where they can make a significant contribution.
In my inaugural lecture, I will explore a multifaceted approach to this complex issue, employing diverse perspectives: from fieldwork investigations of sedimentary records to the reconstruction of past climates through the analysis of carbon and oxygen isotopic changes, and the application of both process-based and data-driven methods in Earth System Science. Throughout my career, I have had the privilege of integrating these methodologies. Yet, the most transformative development in my career over the past decade has been the incorporation of data science and deep learning into Earth Sciences. I will highlight some of the pioneering work in our field and present the research currently underway in my group.
To conclude, I will share my vision for future research at the Digital Environment Research Institute. I aim to outline the pivotal role that Data Science and AI can play in advancing our understanding of the environment and in propelling the sustainability agenda forward.
Date: Tuesday 30th April 2024
Times: The lecture theatre doors will open at 5.45pm for a 6pm start, this will be followed by a drinks reception at 7pm in the Graduate Centre Foyer.
Transport: Mile End Underground is nearby and is served by the Hammersmith & City, District and Central lines. Stepney Green Underground is also nearby, and it runs the District line, and the Hammersmith & City line.