Call for the Design Modelling Symposium Copenhagen 2015 - Modelling Behaviour
Dear all,
On behalf of the Advisory Board of the Design Modelling Symposium 2015 we would like to invite you to contribute with innovative projects from research and building practice. We have just published the Call for Papers and are proud to present Michelle D. Addington (Yale Climate & Energy Institute), Bjarke Ingels (BIG), Eric Winsberg (University of South Florida), Jonathan Mallie (SHoP Construction) and Daniel Davis (Case NYC) as our first confirmed Key Lecturers. More are to come.
The Design Modelling Symposium Copenhagen 2015 - Modelling Behaviour will be held at CITA Copenhagen, Denmark:
Part 1 - Workshops & Master Classes: 28 - 29 September 2015
Part 2 - Conference: 30 September - 2 October 2015
Please visit our Conference webpage for further details and updates.
We look very much forward for your submissions and hope that you can help to distribute this call to your colleagues, labs and communities.
Best regards,
Martin Tamke, Mette Ramsgard Thomsen, Billie Faircloth, Fabian Scheurer and Christoph Gengnagel
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Call for Design Modelling Symposium
The Design Modelling Symposium Copenhagen 2015 Modelling Behaviour calls for the submission of innovative projects from research and building practice on the infrastructure of computational models that emulate phenomena at scale and in time. The Symposium broadly seeks to ascertain ways in which such models delimit system boundaries, capture information and feedback, and integrate feedback in future design scenarios across the expanded digital design process. Here the digital design process is inclusive of structures, envelopes, and materials - from their analysis, simulation and specification, to their fabrication and inhabitation.
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Important Dates DMSC 2015
Abstract submission opens 15 November 2014
Submission Abstracts Deadline 19 January 2015
Submission Full Papers 13 April 2015
Workshops & Master Classes 28 - 29 September 2015
Conference 30 September - 2 October 2015
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Models that integrate computational logic into design permit us to discover, predict or orchestrate the nuanced behaviour of architecture. Such models seek to emulate phenomena at real-world scale and in real time, attempting a congruous simulation of the potential relationship between architecture and its contexts. Here a mash-up of diverse inputs may be pursued: environmental, social, structural or material, inputs formerly particularised by discreet disciplines now assembled, associated and synthesised in the model. Becoming the shared interface for multiple disciplines - architects, engineers, planners and fabricators as well as material scientists, ecologists and physicists—such models are poised for robust querying and permit new ways of engaging feedback during design, analysis and construction as well as inhabitation.
Our current modelling practices, those which represent what a thing looks like and how a thing may behave, are dominated by procedural logics of computation, which often artificially delimit phenomena, scale and time, not only reducing the quality of feedback but also its rapid implementation during the design process. To engage with the complexity of cyclical feedback loops in meaningful and productive ways necessitates new ways of understanding the design model.
- How can models that represent and calculate physical or environmental behaviour support new design solutions?
- How do we develop methods of integrating feedback interfacing otherwise distinct processes, scales and disciplines?
- Are methods of dynamically structuring information from parallel fields of computational modelling transferable to the field of architecture?
- How can modelling be understood as a network of dedicated information models allowing flexible and adjustable relationships between computational entities?
The Design Modelling Symposium 2015 Modelling Behaviour calls for the submission of innovative projects from research and building practice on the infrastructure of computational models that emulate phenomena at scale and in time. The symposium broadly seeks to ascertain ways in which such models delimit system boundaries, capture information and feedback, and integrate feedback in future design scenarios across the expanded digital design process. Here the digital design process is inclusive of structures, envelopes, and materials - from their analysis, simulation and specification, to their fabrication and inhabitation.
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The Conference highlights three areas:
1. Modelling and Design of Behaviour
What is the identity and purpose of the behavioural model? How are behaviours defined, how are they represented, and by which means can they be simulated? As simulation becomes increasingly integrated with design, new opportunities for interfacing non-linear and multi-scale relations emerge. How do we create new design methods for engaging with these new information flows while retaining the intuitive, creative and communicable dimensions of architectural design practice?
2. Modelling and Design of Processes
Where CAD is focused on the creation of static geometry, the profession is venturing into new areas in which the design of processes is central. The design and simulation of assembly, robotic fabrication, planning of large-scale construction, life cycle management or facility management all necessitate new dynamic representations in which processes can be designed, coordinated and communicated within large teams of distinct disciplinary backgrounds. What are the methods of dynamic modelling, how do we critically assess and understand input, and how can the model integrate into a heterogeneous workflow?
3. Modelling and Design of Information
What defines the underlying infrastructures of the behavioural model? For the model to become a true analytical tool we need to develop our own critical practices by which to discuss and evaluate how information is defined, stored and retrieved as well as computed, handled and scaled. How can information retrieval become part of design practice? How do we discuss relevant system boundaries, and how can we situate feedback as a means of understanding system boundaries as dynamic and adjustable?
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