Difference between revisions of "DC I/O 2022"
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==Session 2: Cognitions== | ==Session 2: Cognitions== |
Revision as of 19:13, 5 November 2022
Design Computation Input/Output Conference, or simply DC I/O, was established with the premise that computational design methods should benefit from the scientific method and whenever possible, be cross-referenced in the many disciplines of design to evolve and diversify the field. The conference assists in the understanding of the physical and digital relationships of producing design. It focuses on the many channels to capture the data necessary to inform design, the processes – natural and/or digital – of articulating this data input to accomplishing design, and the outcomes of these processes as artifacts and references of study in the domain of computational design.
Contents
Confernece Committee
Advisory Board
Prof. David Kirsh, Prof. Jacqueline Glass, Prof. Jeremy Melvin, Prof. Kate Jeffery, Dr. Patrik Schumacher, and Prof. Robert Aish.
Programme Committee
Dr. Abel Maciel, Prof. Sean Hanna, Dr. Theodore Spyropoulos.
Design Theory Committee
Dr. Anastasia Globa, Ava Fatah Gen. Schieck, Victoria Farrow
Scientific Committee
Dr. Bailin Deng, Dr Carlos Galera-Zarco, Dr. Christopher Leung, Prof. Daniel Hall, Dr. David Swapp, Dr. Eleni Papadonikolaki, Dr. Iro Armeni, Dr. Jakob Seidlitz, Prof. James Tompkin, Dr. Kimon Krenz, Maj Plemenitas, Dr. Richard Beckett, Serena Booth, Shneel Malik, Dr. Stephen Law, Dr. Theo Dounas.
Industry Committee
Eduardo Lazzarotto, Greg Demchak, Kean Walmsley, Luis Fraguada, Shajay Bhooshan, Tyson Hosmer.
Peer-Reviewers
Alvaro Lopez, Ava Fatah Gen. Schieck, Dr. Bailin Deng, Clara Jaschke, Dr Carlos Galera-Zarco, Dr. David Swapp, Dr. Eleni Papadonikolaki, Prof. Jacqueline Glass, Dr. Jakob Seidlitz, Prof. James Tompkin, Prof. Kate Jeffery, Kean Walmsley, Dr. Kimon Krenz, Luis Fraguada, Maj Plemenitas, Richard Beckett, Prof. Robert Aish, Prof. Stephen Gage, Tyson Hosmer, Victoria Farrow, Wiktor Kidziak, Dr. Stephen Law.
Proceedings
Session 1: Algorithms
Keynote
Proceedings
- A machine learning assisted preliminary design methodology for repetitive design features in complex structures
- Environmental-driven Massing Based on Machine learning
- Simulation and Fabrication of Elastic Deployable Stripe Structures
- View-Based Luminance Mapping in Open Workplace
Discussion
Session 2: Cognitions
Keynote
- The Structural Logic of the Brain’s Representation of Space: How Studies in Rodents can Inform Architectural Design for Humans
- Outlooks and Challenges in Urban Design X Data Science Machine in the Urban Design Loop
Proceedings
- The Nature of Strange Architectural Objects Within an Entangled Ecology
- Bioluminescent Pavilion: Temporary Architecture Provides Lighting
- Architectural Aesthetics and Personality: An Experiment to Research the Correlations Between Personality Traits and Visual Preferences for Complexity in Architectural Scenes
- Defining an Alternative Pathfinding Method by Approaching Social Distancing through Micro and Macro Level in the City
Discussion
Session 3: Cultures
Keynotes
- Quantified Buildings and Modelling
- In Search of a Dialogue for Manufacturing Conformance: When Precise Geometry is Paradoxically Imprecise Design Intent
Proceedings
- The Role of the Architect vs Architectural Software in the Posthuman Era
- Democratised Making: Skills Enhancing Through Extended Realities
- Volumetric History Epistemic Permutations of Architectural Re/Construction
- Performatively Shaped, Traditionally Inspired Contemporary Houses: The Case of Courtyard Houses in Baghdad
Discussion
Session 4: Applications
Keynotes
Proceedings
- Process to Examine Correlations Between Personality Traits and Architectural Aesthetic Preferences for Complexity
- Participatory Urban Futures - An Architectural Technology Stack
- XR: Bringing Digital Twins Within Hands Reach
Discussion
Closing Keynote
Workshop Sessions
- Introduction to Generative Components
- Decentralized Design Economies: 3D NFTs on Tezos via Hicetnunc
Reference
Conference DOI: https://doi.org/10.47330/DCIO.2021.JSZE2664 Full text in: Maciel, A. (Ed.), 2021. Design Computation Input/Output 2021, 2nd ed. Design Computation, London, UK. ISBN: 978-1-8381294-2-2