2022 | Environment | Italy | Promising | SDG11 | SDG13 | SDG3 | SDG7
Artificial intelligence techniques to tackle urban air pollution

Company or Institution

UNIMORE – University of Modena and Reggio Emilia







Sustainable Development Goals (SDGs)

SDG 3: Good Health and Well-being

SDG 7: Affordable and Clean Energy

SDG 11: Sustainable Cities and Communities

SDG 13: Climate Action

General description of the AI solution

This project aims to develop a framework and a model to help decision-makers rapidly evaluate proposed strategies to reduce air pollution by unrevealing the correlation between emission sources and observed urban air quality. The study must be conducted on environmental data that provide a fine-grained picture of urban air quality. Several environmental datasets will be used. Wiseair's widespread low-cost sensor network (https://www.wiseair.vision/) will be exploited.
Artificial intelligence and digital twin will be the enabling technologies to make sense of the complex problem of urban air quality and emission reduction strategies. Deep learning and machine learning techniques will be used to perform the analysis between emissions and AQ levels over space and time.


Public Exposure

Mentorship Program

HPC resources and/or Cloud Computing Services


International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana



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