Architecture Computational Technologies

Explore design research at the frontiers of architecture through experimentation in computational design, robotic systems applied to fabrication and interactivity, and materiality. For more information please contact ms.act@nyit.edu

INCLUSIVE FUTURES Big Data+AI GANs In-Formed Realism Prof. Pablo LORENZO-EIROA

Jul 26, 2021

Digital Futures Inclusive Futures 2021

New York Institute of Technology School of Architecture and Design Participated of Digital Futures-Inclusive Futures Workshop, Lectures and Exhibitions events supported by Dean Maria Perbellini and organized by Tom Verebes and including workshops participations tutored by Marcella Del Signore, Christian Pongratz and Pablo Lorenzo-Eiroa.

DESIGN DATA Coordinated by Tom Verebes


The DESIGN DATA workshop will introduce participants to computational data-driven processes related to the scale of the body, of a community, and of urbanism. Following an initial series of presentations, tutorials and discussions, this offering of the InclusiveFUTURES workshops will be structured as three parallel design exercises. Each of the three groups will be led by a NYIT-SoAD professor, coming together for shared presentations and discussions of the introduction, production and outcomes of the workshop. When selecting this workshop, please express your preference of which of the three exercises you wish to participate in.

Workshop 1 |

BIG DATA + AI GANs IN-FORMED REALISM |

Pablo Lorenzo-Eiroa

In this workshop group, survey is understood as a primary mode of design origination through Big Data 3d scanning. Spatial environments will be surveyed, analyzed, displaced and transformed, generating an informed realism. Three-dimensional representations of Big Data will be processed by implementing AI (Artificial Intelligence) through GANs (Generative Adversarial Networks).