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Forecasting ecological dynamics in a changing world, a critical discussion

Machine Learning, Ecology and Climate Science conference by The Royal Society

Until Tuesday, November 3

Starts in 27 days

The Royal Society, 6–9 Carlton House Terrace, London SW1Y 5AG, United Kingdom; online attendance also available
Abstracts due

About

This meeting critically examines whether ecological forecasting can become accurate enough for conservation and biodiversity management. Demographic and ecosystem models, observations, statistical inference and machine learning address interacting species under climate and other pressures. Terrestrial, marine and polar examples explore predictability limits, uncertainty, model benchmarking and research-informed decisions.

Programme participants include Emily G Simmonds (University of Edinburgh, UK); Benjamin Planque (Institute of Marine Research, Norway); Michael Dietze (Boston University, US); Stéphanie Jenouvrier (Woods Hole Oceanographic Institution, US); Owen Petchey (University of Zurich, Switzerland); Marlène Gamelon (University of Lyon, France).

Schedule: 2–3 November 2026, 09:00–17:00 each day, Europe/London (GMT, UTC+0). Researchers may attend online or at the Royal Society, 6–9 Carlton House Terrace, London SW1Y 5AG, United Kingdom. Both modes are free; advance registration is required using the appropriate online or in-person ticket. Optional lunch is £25/day, subject to availability; outside food is permitted. Poster proposals for 2 November, including an abstract up to 200 words, are due 16 October 2026; acceptance is rolling.

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