Difference between revisions of "DC I/O 2021"
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* [[Enhancing a Built Asset’s Operations for Seismic Excitations: An Integration of Machine Learning & BIM]] | * [[Enhancing a Built Asset’s Operations for Seismic Excitations: An Integration of Machine Learning & BIM]] | ||
* [[Exposing Genetic Algorithms: A Tool for Designers to Curate Bespoke Genetic Algorithms for Generative Design Methodologies]] | * [[Exposing Genetic Algorithms: A Tool for Designers to Curate Bespoke Genetic Algorithms for Generative Design Methodologies]] | ||
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==Session 2: Cognitions== | ==Session 2: Cognitions== | ||
Revision as of 20:39, 20 April 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.
Opening Keynote
Proceedings
Session 1: Algorithms
Keynote
Proceedings
- From Intuition to Randomness: Combinatorics as Architectural Design Methodology in the Wave Function Collapse Algorithm
- Enhancing a Built Asset’s Operations for Seismic Excitations: An Integration of Machine Learning & BIM
- Exposing Genetic Algorithms: A Tool for Designers to Curate Bespoke Genetic Algorithms for Generative Design Methodologies
Discussion
Session 2: Cognitions
Keynote
Proceedings
- Exploring the Application of Data Science Methods in Urban Design: Machine in the Urban Design Loop
- 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
Session 3: Cultures
Keynotes
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
Session 4: Applications
Keynotes
- The Past and Future of Digital Twins at Autodesk
- Participatory Urban Futures - An Architectural Technology Stack
Proceedings
- Process to Examine Correlations Between Personality Traits and Architectural Aesthetic Preferences for Complexity
- i-Twin Presentation
- Participatory Urban Futures - An Architectural Technology Stack
Closing Keynote
Workshop Sessions
- An Introduction to Generative Components
- Decentralized Design Economies: 3D NFTs on HicEtNunc via Tezos
Reference
Full text in: Maciel, A. (Ed.), 2021. Design Computation Input/Output 2021, 2nd ed. Design Computation, London, UK. ISBN: WIP, DOI:WIP
