Introduction

💁 About us

The research expertise available at the partner institutions is appropriate for this project, both in terms of its breadth and depth, as well as in terms of the experience of the researchers. The researchers at the partner institutions have in-depth knowledge of all the topics to be covered in the project. This includes expertise in urban water networks, information modeling, information and data aggregation, query answering, and prediction models. The institution coordinators and work package leaders are all experienced researchers with extensive experience in managing and participating in large-scale research projects. This project will increase the visibility of the institutions involved in this consortium. For instance, at CNRS, researchers involved in this project will develop skills and will ultimately constitute a new research topic with strong potential in terms of industrial partnerships, projects, and in terms of spin-offs for the research lab and the university. From a training point of view, this project also increases the attractiveness of the university’s master’s program in AI.

The project is implemented through five work packages (WP).

The first four WP concern research developments of new AI methodologies for managing heterogeneous stormwater and wastewater networks’ data. The fifth WP is dedicated to project management and dissemination activities.

The second objective of the project is to produce new knowledge and promote knowledge exchange, with a strong will and a plan to encourage knowledge sharing between the researchers involved in this STARWARS project.

The scheduled secondment plan is designed with the aim of maximizing knowledge transfer and training between the two fields of Water Sciences and AI and thus facilitating the achievement of the project objectives.

Obtaining accurate and updated information on the underground wastewater and stormwater networks is a challenge and a cumbersome task, especially in cities undergoing urban expansion. Within this context, the main objective of this multidisciplinary project, STARWARS is to address this challenge by providing novel proposals for the management of heterogeneous data in stormwater and wastewater networks.

The STARWARS project aims to bring together researchers from the AI and Water Sciences communities in order to enhance the emergence of new practical solutions for representing, managing, modeling, merging, completing, reasoning, explaining, and query answering over data of different forms pertaining to stormwater and wastewater networks.