·¬ÇÑÊÓÆµ

Events

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.


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