Webinar #3 — Scaling Climate Services & Smart Agents for Decision Support

This webinar explores how Artificial Intelligence can support the growing domain of climate services for adaptation management, and how it can democratise access to detailed climate science information.
When: Tuesday, April the 29th at 1pm CEST.
Registration required at this link: https://events.teams.microsoft.com/event/973ea530-0516-4305-86de-1a95018d34ff@17f18161-20d7-4746-87fd-50fe3e3b6619
Speakers and talks

Prof Jason A. Lowe OBE, UK Met Office and University of Leeds
Professor Jason A. Lowe OBE is a Principal Fellow and Head of Climate Services for Government at the Met Office, and Chair in Interdisciplinary Climate Research, Priestley Centre, University of Leeds.
Jason has over 20 years of experience as a climate researcher and research leader, contributing to scientific journal publications on a diverse range of subjects relevant to both climate mitigation and adaptation. He leads the UKCP project, which developed innovative new climate scenarios for the UK that were used extensively in the most recent UK Climate Change Risk Assessment and are being used in the 3rd National Adaptation Programme. Internationally, Jason has contributed to all three working groups of the Intergovernmental Panel on Climate Change, and many UN climate reports. He regularly provides advice to Government and other stakeholders on climate variability and change.
A recent focus has been to provide information and guidance on climate change to the finance sector, including to the adaptation working group of the Climate Financial Risk Forum (CFRF) in 2024.
Title: Making the case for delivering climate services at scale
Abstract: This presentation will focus on the need for going beyond demonstrator projects on climate interventions and to move towards scaling-up climate services to reach more people and bring greater benefit. It will discuss some of the approaches to scaling climate services, the challenges and the forthcoming opportunities.

Prof Hywel Williams, University of Exeter
Professor Hywel Williams is a computational scientist focused on challenges around sustainability and environmental change. He is a Professor in Environmental Data Science in the Department of Computer Science at University of Exeter, where he is also affiliated with the Institute for Data Science & Artificial Intelligence and the Global Systems Institute. He is a Visiting Fellow at Plymouth Marine Laboratory.
Professor Williams received his PhD in Complex Systems from University of Leeds in 2006. He then worked in the departments of Environmental Science and Computer Science at University of East Anglia. In 2011, he joined the University of Exeter, initially within the Biosciences Department (2011-2017), then within the Department of Computer Science (2017 – present). In 2019 he was promoted to Associate Professor in Data Science. In 2022, he was promoted to Professor in Environmental Data Science. He is a former Fellow of the Alan Turing Institute, and he has launched a successful spinout company.
In his research, Professor Williams applies complex systems thinking and computational methods to problems in social sciences, environmental science, evolutionary ecology, and artificial intelligence. His work has applied a range of methods including modelling, network analysis, natural language processing and machine learning.
Title – Smart agents for complex environmental data (including a preview of UKCP Chatbot)
Abstract: A huge volume of data on climate, biodiversity and other environmental challenges is now routinely generated at scale. Making effective use of this data typically depends on insight and interpretation by expert scientists, which creates information bottlenecks in decision-making; there are too few scientists to supply the huge demand for decision-ready knowledge. This talk will describe several ongoing projects that are developing “smart agent” tools that harness generative AI as an interface between humans and complex environmental data, with a particular focus on development of a smart agent for the UK Climate Projections (UKCP) produced by Met Office. The aim of these tools is to interact with humans in a conversational style, interpret their information needs and context, and then utilise a range of environmental models and data sources to provide immediate answers to questions. A core challenge is ensuring accuracy and building trust with users, making stakeholder engagement vital to ensure these tools are developed ethically and deliver public benefits. If successful, smart agent tools can interact with humans at scale, yet provide information tailored to individuals, supporting better environmental decision-making.