You are warmly invited to the scientific seminar “Beyond a smart digital transformation: Functional Autonomy Cities”, presented by Luis Alonso (MIT MediaLab´s City Science group).
This seminar is organised in the framework of the Digital Transformation and Artificial Intelligence project (JRC B6), and contributing to the TES analytical approach within PREDICT.
Site: SVQ: Room A30
Site: IPR: Room 100/2102 - Aria
REGISTRATION REQUIRED FOR EXTERNAL PARTICIPANTS. Please contact us if you are interested in attending.
Data-driven evidence-based simulation of urban dynamics is being developed by the City Science group. By modelling urban interventions, multidimensional impacts on mobility, energy consumption and society are studied to assist stakeholders' decision-making. To that end, multiple types of data are used: telecommunications, energy, social networks, socio-demographic, mobility, land use.
Luis Alonso is a PhD in Architecture, Research Scientist at City Science Group, and coordinator of the Andorra Living Lab project at the MIT Media Lab's City Science group. He oversees the integration of the group's diverse research topics (Energy consumption, city simulation, urban mobility, innovation district and smart housing), in Andorra's Living Lab project, to provide comprehensive solutions for urban and country challenges, in order to transform Andorra into an "international recognized intelligent country".
Since he is focused on very different lines of research and work; his antidisciplinary approach fits on the Media Lab philosophy: City Science, Big data analysis, Urban planning, Architectural robotics, Building design & construction, New & smart materials (free form transparent energy efficient envelopes & biomedical uses), Energy simulation and building efficiency & sustainability, Eco-innovation, E-learning & its impact on social networks, New technologies (ICT), etc.
MediaLab City Science Group - Looking beyond smart cities
The City Science research group proposes that new strategies must be found for creating the places where people live and work, and the mobility systems that connect them, in order to meet the profound challenges of the future. Research topics include: computer vision, architecture, artificial intelligence, cryptocurrency, energy, environment, human-machine interaction, transportation, sensors, machine learning, behavioural science, mapping, startups, etc.