AI + Environment Summit

Posters

• “Causal Machine Learning Reveals Convective Organization Biases in Km-Scale Models”, Dié Wang
• “Greening AI or AI’s Greenwashing? A Net Impact Assessment Framework for Environmental Sustainability”, Yash Saxena
• “Global patterns of mycorrhizal plant species richness”, Qian Li
• “Do Neural Networks Attend to Morphological Characters? Explainable AI for Small-Data Intraspecific Zooplankton Classification”, Valeriya Kirova
• “FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes”, Anya Fries
• “GNN-VIEW: Visual Inspection and Explanation of GNN-based Weather Model”, Alessandro Lucatelli
• “Deep learning-based monitoring of tree phenology from webcam and weather data”, Valerio Schelbert
• “Learning Spatial Ecological Networks from Geolocated Molecular and Earth Observation Data”, Victor Boussange
• “Where There’s Smoke: Wildfire Localization and Response from a Single Camera via Terrain and Depth Estimation”, Julian Gonzalez Artero
• “High-resolution probabilistic mapping of heat hazard events to guide urban planning”, Svea Krikau
• “Simulating riverine heatwaves with LSTMs”, Corinna Frank
• “Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting”, Leonardo Trentini
• “Exploring Adversarial Attacks in AI Weather Models for Generation of High-resolution Tropical Cyclones”, Marco Froelich
• “Observation Assimilation Transformer – Probabilistic Weather Analysis from Sparse Station Observations”, Christian Donner
• “AgroScan – An Interactive SOC Prediction Tool for Farmers”, Margarete Breitenhuber, Clara Buller, Claudio Bussinger, Jerome Reiter
• “Making the most of AI in Spatial Data: Designing a Platform for and with Decision-Makers”, Annina Brügger
• “Interactive Generative Modelling for Safe and Sustainable by Design Chemicals”, Franziska Weissbach
• “Climate adaptation’s missing map: generating cadastral parcels from building footprints”, Leonard Schrage
• “A kilometer-scale machine learning weather forecasting emulator for the Alpine region”, Luca Lanzilao
• “Prompting-MammAlps: Fine-grained Text-to-Video Retrieval for Camera-trap Data”, Valentin Gabeff
• “Summer heat, winter floods: voice-first AI advice for climate-resilient building in Cape Town’s informal settlements”, Leonard Schrage
• “Rare weather event sampling using learning-assisted search”, Till Wenke
• “AareML: Predicting River Dissolved Oxygen in Swiss Alpine Catchments Using Seq2Seq LSTM”, Nikolayeva Tatyana Olga
• “National-scale Tree Species Mapping in Switzerland using Multi-Modal Remote Sensing Data”, Yixin Zhou
• “From benchmarks to forests – Lowering the barrier to deploying tree crown detection”, Felix Hammer
• “Tigers in the City: Investigating Associations Between Urban Green-Space Type and Asian Tiger Mosquito Abundance”, Charles Hatfield
• “deadtrees.earth-aerial: A Multi-Resolution Aerial Image Dataset for Tree Cover and Mortality Detection”, Ayushi Sharma
• “Elephant Zzz’s for Zookeepers: An AI Dashboard for Asian Elephant Welfare Monitoring”, Leyla Davis
• “The City as a Sensor: Three Months of Air-Quality Data from Winterthur’s Trolley Bus Fleet”, Markus Leutwyler