CIEEM 2025 Summer Conference - Embracing the AI Revolution in Ecology and Environmental Management

BOOKINGS ARE NOW OPEN

Sponsored by:

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Summary

We are seeking proposals for presentations for our 2025 online Summer Conference. The rapid evolution of artificial intelligence (AI) presents unprecedented opportunities to transform ecological practice and environmental management in the UK. As technologies continue to mature, we invite practitioners, researchers, and developers to share their insights at our upcoming conference. This event aims to bridge the gap between technological innovation and practical application, fostering dialogue on how AI can enhance our collective capacity to address urgent environmental challenges while ensuring responsible implementation.

Description

Our summer conference will explore the benefits of AI in ecological practice and how risks can be effectively managed and controlled. Presenters will shine a spotlight on current applications of AI, describe how the adoption of AI tools has supported improved professional practice, contributed to increased capacity and secured better outcomes for clients, nature and society.

 

Programme

Confirmed speakers include:

  • 'Scalable, end-to-end data management and species identification for passive acoustic monitoring: the BTO Acoustic Pipeline' - Dr Simon Gillings, Principal Data Scientist, British Trust for Ornithology
  • 'Complementary strengths: AI and traditional ecology in partnership' - Dr Justin Byrne MCIEEM, Senior Ecologist, AiDash
  • 'Autonomous approaches for biodiversity assessment using machine learning - innovations for identifying individual animals for badgers and great crested newts' – Dr Maria Duarte-Rosa, Dr Chung-Man Tang and Dr Jim Littlemore MCIEEM CEcol, Anglia Ruskin University
  • 'From sensors to inference: a framework for integrating AI into ecological monitoring of human-wildlife interactions' - Amber Cowans, PhD Researcher, University of St Andrews & Cairngorms Connect
  • 'Designing for ecological intelligence: lessons from a start-up-inspired AI tool for biodiversity reporting' - Eli Kane, Biodiversity Consultant, DNV

Further speakers will be announced shortly.


The Call for Papers for this Conference is still open if you are interested in submitting a paper.. Please note that the call for papers has been written with help from Claude.ai 

We encourage the submission of abstracts that:

  • Showcase applications of AI in ecological data collection, analysis, and visualisation
  • Critically assess the performance of AI tools for habitat assessment and species monitoring
  • Contrast AI with traditional ecological methods, highlighting cost-benefit advantages and synergistic potential
  • Address challenges in data privacy, accessibility, and ethical use of AI in ecological contexts
  • Demonstrate AI's potential for invasive species identification, spread prediction, and control
  • Present case studies where AI adoption has improved ecological practice and outcomes
  • Describe how AI tools can be applied effectively to support evidence-based decision making for better outcomes for clients, nature and society
  • Explain how individuals and organisations can best prepare for coming AI advances in a period of rapid technological and ecological change


Submission details:


Presentations will be 20 minutes in duration with five minutes for questions.

Abstracts should be no more than 300 words and include a clear title, description of the proposed presentation and relevance to the above conference themes.

Please submit your response to our Call for Papers as soon as possible using this form.

If you have any further queries, then please contact training@cieem.net

Join us in shaping the future of ecological practice in an age of intelligent systems.

Tickets

Tickets Person(s) Price (£) Price (€)
CIEEM Member (Fellow, Full, Associate & Qualifying) 1 £91.00 €110.00
CIEEM Member (Retired) 1 £61.00 €73.00
CIEEM Registered Practices (15% discount from member rate) 1 £78.00 €93.00
CIEEM Student (Member) 1 £31.00 €37.00
Non Member Ticket 1 £133.00 €160.00
Student (Non Member) 1 £61.00 €73.00