IntelliAQ workshop on Machine Learning for Air Quality

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Sessions*

Check-in and registration

Welcome

Discussion

Poster viewing

ML4O3 Kickoff meeting

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Contributions*

A minute treatment of atmospheric chemistry

AtmoRep: Large Scale Representation Learning for Atmospheric Data

Concluding remarks: final discussion

Deep learning for weather prediction

Driving mechanisms of global surface ozone and its bias in the chemical reanalysis products using machine-learning approach

Evaluating the causal effects of interventions on air quality using machine learning and synthetic control approaches

Evaluating the multi-task learning approach for land use regression modelling of air pollution

Forecasting daily ozone air pollution across Europe with transformers

Graph machine learning for improved imputation of missing tropospheric ozone data

Integration of open-source remote sensing data for the investigation of subgrid scale drivers of pollution inferred from model-based inference and machine learning

Short interventions and discussion

Short interventions and discussion

The IntelliAQ project

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Events scheduled on*

06/03/2023

07/03/2023

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