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Rewrite™ Cities: How Data and Tech-Driven Architecture Make Better Buildings
1. Rewrite™ Cities:
How Data and Tech-Driven Architecture
Make Better Buildings
Michelle Kaufmann
Application Economy: What’s Next
Co-Founder, Flux Factory
AET05S
#CAWorld
#WIRED
Jason Tanz
Editor at Large, WIRED
@mkaufmann @jasontanz
10. • Start from scratch every time
why
• Too expensive
• Takes too much time
• Start from scratch every time
• Teams work in silos
• Start from scratch every time
• Teams work in silos
• Data sources in many disconnected locations
• Start from scratch every time
• Teams work in silos
• Data sources in many disconnected locations
• Not timely information
15. • Software blocks that are re-usable and
re-composable
• Software blocks that are re-usable and
re-composable
• With all needed connected data sources
(including codes, costs, zoning, best
practice details and materials)
connect
• Efficient, timely, well-designed buildings
• Lower building costs + schedules
• Better buildings
• Shared, instant information
19. Through reusable
software – linking data
counting
massive data scraping
codes
design
making better buildings
Let the computers do what
they do best
So the humans can do what
they do best
20. Plant a seed for a
healthy building:Quartz
On average, we spend 90% of our lives inside buildings — sleeping, working,
living, and playing. However, we know little about the materials used in the
building, where they come from, how they impact the environment or will
impact our long-term health and wellness.
METRO
22. Plant a seed for a
healthy building:Quartz
On average, we spend 90% of our lives inside buildings — sleeping, working,
living, and playing. However, we know little about the materials used in the
building, where they come from, how they impact the environment or will
impact our long-term health and wellness.
HEALTHY
BUILDINGS
23.
24. • Inconsistency: Varied metrics, quality, and scope lead to
incomparable data.
• Inconsistency: Varied metrics, quality, and scope lead to
incomparable data.
• Incomprehensibility: Metrics are difficult to understand.
• Inconsistency: Varied metrics, quality, and scope lead to
incomparable data.
• Incomprehensibility: Metrics are difficult to understand.
• Inaccessibility: Very little data is available in a structured
format.
• Inconsistency: Varied metrics, quality, and scope lead to
incomparable data.
• Incomprehensibility: Metrics are difficult to understand.
• Inaccessibility: Very little data is available in a structured
format.
• Closed practices: The AEC industry has been slow to
adopt open data principles.
25. Plant a seed for a
healthy building:Quartz
On average, we spend 90% of our lives inside buildings — sleeping, working,
living, and playing. However, we know little about the materials used in the
building, where they come from, how they impact the environment or will
impact our long-term health and wellness.
BUILDING
SEEDS
28. Plant a seed for a
healthy building:Quartz
On average, we spend 90% of our lives inside buildings — sleeping, working,
living, and playing. However, we know little about the materials used in the
building, where they come from, how they impact the environment or will
impact our long-term health and wellness.
OPEN
SOURCE