After four intense days of innovative work, the conference offers an opportunity for critical reflection on the topic of Working Prototypes and the exposition of what has been accomplished in the Workshop. It is an opportunity to open debates, pose questions, challenge orthodoxies, and propose new ideas. The conference will feature invited international keynote speakers showcasing major projects and research from around the globe that mark out the territory of the year’s Challenge. Between keynote presentations it will also feature informal and open discussions between the speakers, invited respondents, leading practitioners, emerging talents in digital design and Cluster participants, offering inside perspectives on how computational design is creating hybrid disciplines.
use the force
Champions: Daniel Piker + Robert Cervellione + Andy Payne + Volker Mueller
Through Kangaroo, the live physics plug-in for Generative Components and Grasshopper, this cluster explored ways of using the simulated interaction of physical forces and real-time spatial inputs to develop novel form-finding processes. The physics engine will constantly react to the streaming data – when one element in the system changes, the entire system adjusts itself accordingly in order to find and maintain equilibrium. Treating geometric and construction constraints, material behaviour, and user interaction all within this common language of physical forces unifies and allows complex real-time interaction between them.
interacting with the city
Champions: Przemek Jaworski + Flora Salim + Martin Kaftan
This cluster aims to create tangible models of the city ‘in action’, using historical or real-time data. Using Web 2.0 technology, Processing, tangible interactions, projections, and digital modeling and fabrication, physical and digital models will be set up to enable visualisation and tangible interaction with the data. The use of data from Facebook, Twitter, Google Maps, and various data sources from cities and public websites will be investigated. The goal of the cluster is to explore a new kind of design collaboration informed by real world data.
Champions: Luis E. Fraguada + Tomas Diez + Felipe Pecegueiro
The cluster aims to generate design responses that scrutinize and analyze the relationships between two or more sensor parameters. Like traffic lights with sensors that are programmed to respond to fluctuations in traffic flows, the cluster aims to prototype urban interventions. These ‘behavioral prototypes’ allow the participants to design explicit behaviors and their varying degrees of expression in relation to the input parameters.
Champions: Marco Poletto + Claudia Pasquero + Andrea Bugli
The aim of the cyber-gardens cluster is to experience and test design as a form of cultivation, whereby the designer operates as a cyber-gardener in both choreographing and breeding new artificial ecologies.
Champions: Mette Ramsgard Thomsen + Ayelet Karmon
This cluster will investigate the fabrication of three-dimensional knitted surfaces that provide an intelligent skin, are performative structurally, and are behaviourally responsive. 3D complex design strategies will be developed that allow for the creation of responsive fabric skin constructions. By combining advances in intelligent textiles with parametric modelling we will devise bespoke interfaces that link between standard architectural design software environments, CNC knitting machine (Stoll) and simple computational steering (Arduino).
Champions: Kyle Steinfeld + Kat Park + Nick Novelli
In contrast with generic approaches to quantification, this cluster hypothesizes that data-driven design must be supported by designed data. The Authored Sensing cluster promotes the production of designer-authored environmental datastreams: highly contingent, intrinsically idiosyncratic, free for public use, and encouraging of interpretation. This paradigm of 'authored sensing' may already be seen in the informationally democratic and algorithmically accessible present - we seek to take this reality a step further by injecting intent and design into the typically passive process of data collection.
Champions: Petra Jenning + Rupert Soar + David Andreen
The cluster will be exploring a thoroughly bottom-up approach to construction, by placing ourselves as agents in an emergent system. The goal of the cluster is to demonstrate how ‘invisible’ processes (in this case air and energy flows) generated by the emerging structure can be visualised during the construction process and used to direct the ongoing fabrication process in real time.
hybrid space structures
Champions: Justin Diles + Clemens Preisinger + Bernhard Sommer
The Hybrid Space Structures Cluster aims to reexamine the intricate three-dimensional space structure systems based on modular polyhedra first popular in the 1960s and now, in modified form, reappearing in contemporary architecture in non-modular variants. As a starting point the cluster will use an existing physical environment to which the space structure will be an addition or an alteration. Digital techniques to scan 3D space will be used to virtualize the physical environment.
Champions: Judit Kimpian + Goetz Peter Feldmann + Josh Mason
The primary objective of this cluster is to work with the occupancy and behavioural data in a given space using the SG workshop space as a testbed. This cluster looks to reveal characteristics of the currents and mechanisms of occupant engagement that would otherwise go unnoticed, mapping the heat, electricity consumption, noise levels, temperature and air quality, online activity and motion of the workshop participants through the use of pre-wired sensors. The data is the digital ﬁngerprint of the invisible forces at play within the environment. Analysing, representing and utilising occupancy and behaviour information for design is the underlying generator for this cluster.
Champions: Mark Burry + Alexander Peña de Leon + Jane Burry + Daniel Davis
This cluster aims to develop and evaluate a new generation of parametric tools that embed emergent behavior within parametric models. Swarming, Flocking, Cellular Automata, Genetic Algorithms and Dynamic Relaxation are examples of emergent tools that synthesise data-sets into solutions. In this cluster we will explore sound datascapes in order to investigate how surfaces with variable resonators can be used to reduce particular frequencies of sound in response to shifts within a particular soundscape.