Environmental Intelligence @ ·¬ÇÑÊÓÆµ Conference
This event brings together the growing EI community at ·¬ÇÑÊÓÆµ and beyond
You are invited to this one-day conference on Thursday 11th September from 9:00am-7pm in the Xfi Building on the Streatham Campus.
| An Environmental Intelligence @ ·¬ÇÑÊÓÆµ conference | |
|---|---|
| Date | 11 September 2025 |
| Time | 9:00 to 19:00 |
| Place | XFI Henderson Lecture Theatre |
| Provider | Environmental Intelligence @ ·¬ÇÑÊÓÆµ |
| Organizer | Environmental Intelligence Research Network |
Event details
Abstract
The Slides shared are available here
This event will bring together the growing Environmental Intelligence (EI) community at ·¬ÇÑÊÓÆµ and beyond. It is supported by the new , the and the . A programme includes short talks, posters, panel discussions, and networking opportunities— designed to showcase research, share ideas, gain feedback, and spark collaborations across a wide range of disciplines. In total there will be more than 50 different contributions spanning a wide range of disciplines and perspectives.
You can view the full programme or download a copy below.
Following the event there will be an informal social event with drinks and snacks provided.
Sign up now to secure one of the final few places:
Best wishes
The EI team
Environmental Intelligence Conference 2025
Programme Agenda & Speakers
Thursday 11th September 09:00-19:00: Xfi Building on the Streatham Campus
09:00 – Arrival, Posters & Refreshments
Venue: Xfi Atrium
Session 1- Venue: Henderson LT
Chair: Hywel Williams
- 10:00 Hywel Williams — Welcome & Introduction
- 10:15 Tim Lenton — Keynote: “Positive tipping points to avoid climate tipping points”
11:00 – Parallel Sessions
Session 2A: EI for Biodiversity & Nature- Venue: Henderson LT
Chair: Benno Simmons
- Viktor Domazetoski — Uncovering Systematic Errors in Camera Trap Species Classification Models
- William Rees — AI-Based Visual Monitoring of Small, Fast-Moving Nocturnal Fauna: A Case Study in Bat Roost Detection
- Oscar Rodriguez de Rivera Ortega — Following the Paws Behind the Patterns
- Danny Williamson — Where should all the trees go?
- Bertrand Nortier — Emulation of ecological models with categorical time series outputs using Deep Gaussian Processes
- Ross Gardiner — BioCLIP-world: Progress and challenges towards a multimodal embedding space for the tree of life
Session 2B: EI for Earth & Climate- Venue: Conference Room 1+2
Chair: Stefan Siegert
- Frank Kwasniok — Data-driven subgrid-scale parameterization for atmosphere and ocean models
- Hugo Lambert — Measuring the differences between weather and climate models and the real world
- Steve Thomson — Improving Machine Learned Predictions of High CO2 Climates Using Physical Constraints
- Charlie Kirkwood — Geological mapping in the age of AI
- Khan Muhammad — Statistical Learning Applications in Earth Sciences
- Julian Ortiz — Geostatistical uncertainty quantification in Earth Sciences
Session 2C: EI for People & Health- Venue: Seminar Room A+B
Chair: Lorien Jasny
- Shakil Mohammad Hasan— Board Gender Diversity and Carbon Emissions: A Panel Regression and Machine Learning Approach
- Fanlin Meng — AI for sustainable systems
- Lorien Jasny — Social-Ecological networks and risk: how is perceived social and ecological risk associated with information networks?
- Jaylaxmi Desai — The Ugly Truth Behind Anti-Aging: How Fear of Wrinkles Harms the Planet
- Theo Economou — Statistical models for temporally distributed effects from multiple environmental stressors on health
- Steven Squires — Forecasting climate driven healthcare surges using machine learning
12:00–13:00 — Lunch Break & Posters (Xfi Atrium)
Session 3 — Panel Discussions- Venue: Henderson LT
Chairs: Katie Ledingham / James Dyke
- 13:00 Katie Ledingham — Panel: Social Dimensions of Environmental Intelligence
Panellists: Suchith Anand, Ellie Fox, Manju Bura, Catie Johnston - 13:45 James Dyke — Panel: Environmental Intelligence in Practice
Panellists: Rachel McInnes (Met Office), Adrian Hines (JASMIN), Matthew Palmer (PML) + 1 more TBC
14:30 – Parallel Sessions
Session 4A: Machine Learning for Earth Observation- Venue: Henderson LT
Chair: Brianna Pickstone
- Saptarshi Das — Remote Sensing Single Image Super-Resolution Benchmarking with Transfer Learning Algorithms
- Steve Palmer — A Quantile Regression forest estimate of Greenland’s subglacial topography
- Joseph Paulo — InSAR DEM Correction using Machine Learning
- Remy Vandaele — Geospatial foundation models for marine applications
- Brianna Pickstone — A Probabilistic Vision-Language Framework for Remote Sensing Land Cover Classification
- May Rodriguez — Dynamic assignment of photosynthetic parameters using machine learning for modelling primary production from satellite observation
Session 4B: Climate Communications & Data Science (Hosted by C3DS)- Venue: Conference Room 1+2
Chair: Travis Coan
- Nicholas Clifton — AuthentiSci: Crowd-sourcing reviews of mainstream science media
- Francisco Gonzalez Espinosa — Computational approaches to studying climate communication in Television & Film
- Ranadheer Malla — CARDS-i-b: A Chatbot and API for Classifying and Responding to Climate Misinformation
- Tristan Cann — Classifying opposition to Net Zero in UK News
- Travis Coan — Greenwashing detection in Fossil Fuel Advertisements
15:30–16:00 — Refreshments & Posters (Xfi Atrium)
16:00 – Parallel Sessions
Session 5A: Earth Rover Spotlight- Venue: Henderson LT
Chair: Simon Jeffery
- Tarje Nissen-Meyer — Towards a greener revolution with good vibrations: 4D seismic soil health monitoring
- Peter Mosongo & Morine Wangechi — Seismic soil data acquisition across Kenyan ecosystems and agro-climatic zones
- Maria Tsekhmistrenko & Joe Collins — Soil bulk density from non-invasive seismology
- Jiayao Meng — A Scalable, Wireless MEMS Sensor Network for Seismic Soil Monitoring
- Kuangdai Leng — Data-augmented AI agent for soil science
- Discussion
Session 5B: AI for Water Systems- Venue: Conference Room 1+2
Chair: Peter Melville-Shreeve
- Mikiyas Etichia — Smart agents for water resource planning
- Jawad Fayaz — Holistic machine learning frameworks for proactive water distribution management
- Diego Panici — Harnessing AI and heterogeneous datasets for decision tools and digital twins
- Garry Codling — Advancing Non-Target Water Chemistry Through Environmental Intelligence
- Pete Melville-Shreeve — Establishing a living lab for water at the University of ·¬ÇÑÊÓÆµ
- Ben Hamilton — Upgrading SuDS systems
17:00 Session 6: EI @ ·¬ÇÑÊÓÆµ- Venue: Henderson LT
Chairs: James Dyke / Hywel Williams
- Discussion: Environmental Intelligence – Past, Present & Future
Evening Social Event (Xfi Atrium)
17:30 Networking & Social Gathering
19:00 Event Close
Location:
XFI Henderson Lecture Theatre