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Join the 2nd Young Water Professionals European Conference in June 2026

Registration is now open for the 2nd Young Water Professionals European Conference (YWPEU), which will take place in Milan from June 14–17, 2026. SafeCREW researchers Beatrice Cantoni and Bruno Ursino will contribute to this conference.

Held every two years, this international event brings together water professionals from across Europe, including researchers, engineers, utilities representatives, consultants, and policymakers. The conference serves as a dynamic public platform for sharing innovative solutions and fostering dialogue on key challenges in the water sector. SafeCREW researcher Beatrice Cantoni acts as one of the two Conference Co-Chairs. The Junior Assistant Professor (RTDa) at Politecnico di Milano is chairing the Young Water Professionals Italy. Her research focuses on risk assessment for managing emerging contaminants in drinking and wastewater.

During the event, Bruno Ursino from Politecnico di Milano and Marco Matracchi (both at Polimi) aim to present. Bruno’s poster will showcase some of the latest results of the SafeCREW project. The poster will focus on the outcomes related to the development of tools for the correct handling of limits of quantification in drinking water treatment performance metrics. Bruno’s PhD thesis builds on his master thesis on “Bayesian latent factor modeling for multi-target inference” which he defended in April 2024, both in the course of the SafecCREW project.

Bruno’s poster aims to inform the audience about methodological advancements achieved within the project and to stimulate discussion on harmonised data interpretation practices. By engaging with stakeholders and policymakers, the contribution will support knowledge transfer and encourage the uptake of robust and transparent evaluation approaches in drinking water treatment, monitoring and regulation.

Marco will illustrate some of the last SafeCREW results related to his PhD thesis. Data collected in this task will be used to assess if cluster analysis permitted a representative selection of sampling points in a complex drinking water distribution network.

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