Martina Casari's project among the IRCAI Global Top 100 - AI solutions for SDGs

On 4th May 2023, IRCAI presented the 100 best international projects that were selected for solving problems related to the 17 United Nations Sustainable Development Goals with the application of Artificial Intelligence, from all five geographical regions: Africa, Europe and Americas, Asia and the Pacific, and the Middle East.

Among these, the Ph.D. research topic of Martina Casari, titled "Artificial intelligence techniques to tackle urban air pollution", has been judged as an outstanding solution to reach four 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

IRCAI is the International Research Centre on Artificial Intelligence under the auspices of UNESCO that aims to advance research on the use of AI to achieve the SDGs by showcasing relevant projects across the world.

Martina's 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 is conducted on environmental data that provide a fine-grained picture of urban air quality. Artificial intelligence and digital twin are the enabling technologies to make sense of the complex problem of urban air quality and emission reduction strategies.
In this project, an important role is also played by Wiseair, a start-up in the low-cost sensor market that collaborate and shared its data with Martina in order to jointly refine techniques to increase the reliability of low-cost sensors for measuring air quality.

This research project is founded by funded by PON Research and Innovation 14-20: D.M. no. 1061 of 10-8-2021

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