H09 - Step Into the Data. Envisioning New Visualization Tools

Friday, November 22 from 10:00 AM to 11:30 AM | B305 « Back

Abstract Text:

We are so beyond the Excel spreadsheet to understand sustainability. In the near future, how will we “step into the data” to virtually visualize and predict outcomes of high-performance strategies early in the design process? Two leaders from SERA Architects, David Johnson and Brian Stevens, and their creative collaborator, Integral Group’s Nicole Crone will conduct a provocative facilitated visioning exercise about what visualization tools (Mixed Reality, Virtual Reality, Augmented Reality) could provide in terms of building and community sustainability and resilience. Session participants will be invited to creatively imagine how they, as designers, engineers, facility managers, and owners, can better engage in the data of the design process. The current dominant model for understanding performance data is either static two-dimensional projections or tables. Much of this data actually has multidimensional information that has the potential to be engaged as layers of intelligent data in VR and AR models environments. This discussion will center on how visualization platforms and interactive virtual environments (gaming) can be conceived and engineered to support early assurance of efficacy of high-performance strategies that the AEC industry and our communities of constituents are demanding. By rapidly and virtually visualizing positive outcomes that are possible and negative outcomes to be avoided we can embed the sustainability principals of LEED rating systems. We can use VR and AR design environments to visualize sustainability and best support client sustainability goals. The millennial generation are facile using data streams already in existence, now could be the time to “gamify sustainability” to create more good as well as help to support USGBC certification. We have shown that we can already integrate intelligent readily available multidimensional data into our design process creatively with state of the shelf hardware and in-house coding. We will stimulate the discussion about the possible tools of the near future -- tools and virtual environments that will help design teams to interactively support predictive data-driven design decisions.

Learning Objectives:

Upon completion, participant will be able to describe the current state of the shelf of standard modeling and methodologies for predicting desired outcomes of improved environmental sustainability, and human health and wellness in the built environment.

Upon completion, participant will be able to describe their understanding of tools of visualizing human wellness, environmental relationships or performance outcomes in industries analogous to the Construction and Design Industry.

Upon completion, participant will be able to be explain how they were stimulated by provocative mock-ettes (digital visualizations) of potential integrated predictive tools to more simultaneously understand spatial relationships and critical performance outcomes related to environmental sustainability, and human health and wellness in the built environment.

Upon completion, participant will be able to describe how they co-created new innovative concepts for developing immersive predictive environments as tools to inform the design process in new ways and improve outcomes related to environmental sustainability, and human health and wellness in the built environment.

Learning Level:

Intermediate


Credits:

GBCI Credit Hours:
1.5 GBCI
AIA Credit Hours:
1.5 AIA


Education Tracks: Data|AI|Smart Systems for Sustainability

Event Type: Conference Session > Session


 
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