Urban Data. Tools and Methods towards the Algorithmic City
The spread of digital tools and methods is radically changing the design approach and its implications at different scales. Urban Data focuses on innovative operative modalities able in foreseeing city futures facing new energetic, social and environmental challenges. The traditional boundaries between different fields of knowledge are leaving the place to shared visions based on a huge amount of data and information. The parametric and algorithmic practice allows to challenge the complexity by using articulated and flexible models. This book is organized as a platform where different approaches and disciplinary practices related to urban design merge each other into an integrate dimension. This new dimension allows to develop methodological actions and managing urban transformations able to adapt in real time to different urban needs. The proposed contributions create a theoretical and operative framework for new digital technologies and analyse the implication on urban design and modelling at different scales of the datization. Urban Data is characterized by a huge variety of approaches and examples supported by the peculiar experiences both theoretical and practical of the chosen panel of authors. Contributors: Lorenzo Matteoli, Roberto Pagani, Giacomo Chiesa, Orio De Paoli, Maria Rosa Candura, Matthew Claudel, Marco Maria Pedrazzo, Niccolò Suraci, Aurelio David, Alessandra Oppio, Luigi La Riccia, Rocco Curto, Elena Fregonara, Anna Osello, Andrea Acquaviva, Matteo Del Giudice, Edoardo Patti, Niccolò Rapetti.