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Sustainability + Resiliency as the new Design Constraints

SU+RE: Sustainable + Resilient Design Systems by AD presents a compelling trend towards SYSTEMS THINKING.

High Performance Building Skins are the primary frontline boundary surface domain to explore SU+RE.

Sustainbility and Resilience are the new constraints in design.

Systems Thinking is replacing Design Thinking.

“Thinking different is the engine of creating wealth in this new economy.”

Some new parameters are:

  • Change is Constant
  • Everything is Connected
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LABS are Living Active Breathing Spaces for Science

Labs are

Living

Active

Breathing

Spaces for Science

Learn more about the Living Building Challenge

or change the first word to Lively….

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Does Architecture Age and Get Better over Time

Reviewing the Building Inventory list of several institutions today, I began wondering if “all things really do get better over time- including buildings?”

The age of many of these facilities was simply astounding!

While reading the WELL Building Standard it’s becoming apparent that this document has merit for the older buildings.

Consider the amount of energy that’s utilized to keep these facilities occupied.

Changing fixtures and replacing windows, that is like a small bandaid on a big issue.

Does Architecture Age and Get Better over Time?

maybe not… on their own

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Parametric Design is about re-use

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Drawings with Words and Symbols

One of the most challenging tasks of designing in the computer is drawing with words and symbols.

Drawing by hand allows one to enter a whole new world free to create become one with the drawing tool, drawing surface and creative thoughts.

Its truly amazingly wonderful place where time stops and ideas flow!

Using the computer interface is so disjointed and obtuse.  The constant jumping between words regarding digital data, organizational metrics, categorizing elements, capturing logic, establishing rules, naming geometry, and calculating units.  It feels like every other moment is a leap out of the creative design world into a computer programming structured zone.

Design software needs to fade into the background, be silent.

Give design the stage back, let the lines and geometry be the actors on the canvas.

Technology has hijacked the essence of design for the sake of re-usability.

Challenge is that very little if anything at all ever gets re-used!

It’s always off to the next design idea.

The most fascinating aspect of architecture is that every design opportunity is new!

 

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Connecting Architecture through screens

When will Architecture embrace the advances of social media.

Documentation still adheres to dated analog processes in digital format.

Nothing is connected or smart.  It’s simply digital pieces of information, linked by manual processes.

From one project to the next what gets re-used?

How much time is invested in forensics to determine the varcity of the item to be re-used?

Should buildings have an IP address?

What level of granularity is required to be connected?

Begin with environmental datasets as a point of convergence.

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Data From Gestures

Imagine the world if data came directly from gestures.  The intermediate tools, like the mouse would become obsolete.

I dream of a world in which natural language serves as the basis for data.  Why all this computer language and machine code?   All the syntax, placeholders and variables that stand for something else?

Just think of the simplicity and efficiency to be gained by using natural language for data.

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Data + Architecture It is all about Patterns

Data analytics is about the search for patterns between different data sets.

Architecture is about the creation of patterns between different material sets.

Data visualization borrows from both camps to present information or knowledge in a user-friendly format.

 

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Data is Dirty by Nature

The Data Lake and Data Pool are dirty, beware.

Wonder why it requires so much cleaning in order to become useful in Data Analytics?

It has been estimated that 70 to 90% of time is spent on cleaning dirty Data?

Maybe there is a market for an embedded Data cleaning agent?

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Is Data Disposable?

In the Maker-Hacker environment is data disposable?

With research trending towards the Experiential, where is the common data points between one experiment and the next?

Data capture has a primary function of countering the one-off trends,  yet datasets are becoming more divergent overtime.

Is it the overlapping of distinct datasets that’s hold the promise in Data Driven Design?