AI has enormous potential to provide societal, ecological, and economic benefit in the polar regions, yet real-world applications of its use remain in their infancy. Organised by researchers from the British Antarctic Survey's AI Lab, we invite you to join us in Copenhagen on Friday 6th September for a deep dive into The Real World Impact of AI in the Polar Regions, organised as part of European Polar Science Week 2024!
Talks cover a broad range of topics from a variety of institutions, including AI-driven sea ice mapping and forecasting for maritime navigation, developing air pollution forecast services for Arctic communities and policy-makers, early-warning systems for Arctic wildlife conservation and management, and identifying understudied Antarctic benthic species for population and ecosystem monitoring.
Registration is free, with sign-ups accepted until July 31st. For more information, please see the conference website (https://bit.ly/3W5xRtr). A copy of the session schedule is below for your convenience.
Thank you,
Andrew McDonald [1,2], Cameron Trotter [1], Ellen Bowler [1], and Martin Rogers [1]
[1] British Antarctic Survey, [2] University of Cambridge
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PARALLEL SESSION 27 - The Real-World Impact of AI in the Polar Regions
Chairs: Pilvi Saarikoski (British Antarctic Survey) & Andreas Stokholm (Technical University of Denmark)
11:00 - 12:30, Friday 6th September 2024
The Queen's Hall, The Black Diamond, Copenhagen
Talks:
AI in routine production of regional ice charts - Keld Qvistguaard (Danish Meteorological Institute)
Safe travel in the Arctic: from global artificial intelligence satellite products to local Inuit led travel safety maps - Michel Tsamados (UCL)
AI for Arctic species conservation: improving monitoring and decision-making under changing conditions - Alasdair Davies (Arribada Initiative)
Accessible air quality forecasts for Arctic communities: how AI can help citizens and policy-makers - Illaria Crotti (European Commission Joint Research Centre Italy)
Deep sea learning: Detection of Southern Ocean taxa using computer vision - Cameron Trotter & Rowan Whittle (British Antarctic Survey)
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