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The CIDAI aims to generate, validate and transfer high added value AI technologies to foster innovation in the strategic economic sectors of Catalonia, including public administration and the third sector. In this session, CIDAI will present the results and knowledge acquired during the execution of one of the High Impact Projects, initiated in 2022, where data-based computational methodologies have been used to better understand micromobility systems and develop tools that improve their management, with a specific focus on Barcelona’s shared bicycle system, “Bicing”. The project has developed a data space that collects and organizes information related to the bike sharing system. The developed applications, predictive models, dashboards and APIs are accessible in the Data Space App Store and will be presented in this session.

Programme

Present the event: • Marco Orellana, manager of the CIDAI. 10:00am Welcome and opening of the event • Lluís Junca Pujol, Director General of Innovation, Digital Economy and Entrepreneurship of the Generalitat de Catalunya • Faustino Corchero, head of the Bicing unit Barcelona of Municipal Services, SA • Roger Junqueres, manager of Let’s pedal to Barcelona. 10:15am High Impact Project in the field of micromobility • Julian Vicens, head of computational social sciences atEurecat • Daniel Alzueta, senior data engineer at i2CAT Foundation • Karina Gibert, director ofIDEAI-UPC 11:30am Coffee & Networking 12.00h End of the event

Venue

EURECAT C/Bilbao, 72 | 08005 Barcelona

Aquest projecte aprofita metodologies computacionals basades en dades per extreure informació valuosa dins dels sistemes de micromobilitat, amb un enfocament específic en el sistema de bicicletes compartides de Barcelona, ​​el Barcelona de Serveis Municipals (BSM).
CIDAI