This 6-day workshop cluster, occurring at the Smart Geometry Conference and hosted by The Chinese University of Hong Kong, speculates about about the use of a novel analytical tool for structuring the various spatial constituents and datasets related to high-density urban environments.

In the context of the 2014-15 Studio One research program, I co-chaired a research workshop on making big-data analytics actionable for architectural design.

The workshop, offered at the Design Modeling Symposium and hosted by the Royal Danish Academy in Copenhagen, examines the use of real time behavioral data for urban planning and design. Technologies of GPS and GIS allow now to map flows of goods and to create maps on the large-scale of countries, regions and cities. Participants will explore inter scalar data mapping combining open data with mobile personal tracking technologies.

In this introduction to an ACADIA conference session of the same name presents a new prototyping visualization toolkit, developed for the Grasshopper visual programming environment, which enables the situational development of information graphics.

In a chapter of the edited volume Paradigms in Computing, I present a framework for understanding a shift discernible in contemporary design culture. Here, I describe a shift from a nostalgic notion of direct authorship, understood as a compositional relationship between a designer and the product of his work, to a multiplicity of deferred authorships, wherein the stakeholders in the production of a design are mediated by systems of collaboration.

Big Data has been effectively mined to understand behavioural patterns in cities and to map large-scale trends predicated upon the repeated actions of many aggregated individuals. While acknowledging the vital role that this work has played in harnessing the Urban Internet of Things as a means to ensure efficient and sustainable urban systems, our work seeks to recover a scale of behavioural research associated with earlier, empirical studies on urban networks.