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id sigradi2016_000
authors Martin Iglesias, Rodrigo
year 2016
title Crowdthinking
source SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016
summary The topic "Crowdthinking" reveals the inquiries of researchers about collaborative work, distributed intelligence and collective research. The call focuses on transdisciplinary thinking as a construct based on multiplicity and diversity. All these topics are essential not only in the field of design and architecture, but also in emerging areas of human sciences and arts . Currently, the collaborative design is considered one of the key bases for change in the city and society. In its genesis, it manifests the notion that the world around us is inadequate for many of the needs of the society and from that design can be collectively improved. Such collective research, by combining distributed intelligence, sustainable social development, design cutting edge research, theories and computational strategies, generates a research partnership based on participation and distributed cognition of complex problems. This call proposes an approach in which the results of the experiences can build a model, define or apply axioms and lead to applications. It also looks for emerging conjectures about the process, the creation of computer models and the behaviour of the resulting designs. On the other hand, the need to find solutions that improve the quality of life for the community and sustainable development includes concerns about the integration of the physical and cultural context of cities, mass education and the inclusion of parametric design, digital manufacturing and digital prototyping, and BIM as a system that organizes and ensures the correspondence between the physical urban design and sustainable archetypes. These are some of the concerns in which technology has been contributing to improve the design process by integrating information. This integration optimizes resources and enables the various project professionals to work on the same model, run simulations, improve materializations and evaluate massive amount of data. Projects with greater social and environmental responsibility can be achieved adopting into the teaching and practice this new way of design that anticipates an extensive exchange that wilt foster self-evaluation and reformulation of educational paradigms.
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