00:01Alright. So it's my responsibility to get this moving.

00:03So in 10 minutes, I do not have enough time to tell you what green building is in any degree of detail.

00:09I do not have time to get into the dimensions of green building practice.

00:14But I hopefully do have enough time to get you guys excited about the intersection between information technology...

00:21...geodesign, and this moment in green building.

00:25And I do have enough time to make this go back to full screen. Maybe?

00:33"F5" says the crowd.

00:36"Not happening" says the machine.

00:43This is part...this is planned.

00:49Yeah. You like this part best.

00:53Alright. So, yeah, we're back in.

00:56Alright. So, jumping into this.

00:58So I actually want to start with...green building is fundamentally not about buildings.

01:03That's...that may be a little unexpected.

01:07Green building is about this curve.

01:09This is the curve that basically started the movement that we all understand today as green building...

01:15...which is a systematic movement devoted to changing the prevalence of practice in the construction industry.

01:22And there were a group of people about 20 years ago who, in their mind, intuitively understood...

01:28...that there was a distribution of practice out there.

01:31And in their minds, they understood that by understanding that distribution and creating competitive advantage for the market leaders...

01:40...identifying best practices, rewarding best practices, they could pull that distribution in a self-sustaining, permanent way...

01:48...toward greater performance. Okay.

01:50So this curve, which underlies a lot of what we understand conceptually about diffusion of innovation...

01:56...and a lot of other things that are wrapped up and why this curve is the way it is, there is...

02:00But from our discussion today, that's an important starting point.

02:02There's a few things this curve is not.

02:04This curve is not spatial.

02:07It's not temporal.

02:08It's not even data driven.

02:10In fact, once you get beyond the idea that this curve is meaningful in some way...

02:15...that we all kind of nod our head and go, "yeah, there's a distribution of practice out there."

02:19This curve doesn't even exist.

02:21The people who launched the green building movement had this curve in their head.

02:25They didn't know...they didn't have a way to understand why it exists, how it works, how it varies from place to place...

02:32...or how it changes over time.

02:34Yet, over the past 15 years, they put in place a set of instruments that work through people, practices, and buildings...

02:43...to move that curve.

02:45The amazing inflection point we're at right now is that we can begin to characterize that distribution...

02:54...with real data for real places.

02:56We can characterize it retrospectively.

02:58We can characterize it now, and we can characterize it going forward...

03:02...and ask ourselves how we actually change that prevalence of practice.

03:06And that's the moment we're in.

03:08So I want to give you just a quick snapshot.

03:10So one man at the station of green building is green buildings.

03:14And so across the...around the world, the organization I work for, US Green Building Council...

03:20We recognize at least 6,000 different green buildings that represent over a billion square feet of commercial space.

03:28That's important, but it's not as important as where we're going.

03:32So in the pipeline are another 30,000 buildings...

03:35...and I want to just convey that each one of these buildings represents a nexus of decision making.

03:41It represents decisions about energy, water, air, indoor environmental quality, public health, storm water.

03:48So each of these projects is a nexus of decision making, much like the computer wants to be.

03:58There was some magic switch that he did before.

04:07That was not the magic switch.

04:11[inaudible]

04:12That was like you can get this one.

04:13[inaudible from audience]

04:14Right there.

04:18Okay.

04:21Which one are we on?

04:23Good. There we go right there.

04:24Okay. So each one of those things represents a nexus of decision making.

04:29And let me underscore what those things are.

04:31The reason this connection...for understanding the connection between...this thing.

04:39You didn't know that I was giving a talk on artificial intelligence.

04:41Actually, I'm going to switch over and give a talk on artificial intelligence and the Windows operating system.

04:51Alright. I'm going to just step away from the machine for a second.

04:57Okay. We'll give that a try and I will step away.

05:0001

05:07So over the last decade, we've come to understand...we have a curve.

05:11We're trying to move that curve by identifying and rewarding best practices.

05:16And today we've reached a point where the family of tools for doing that...

05:21

05:27So we range from neighborhoods and homes, the new construction process, commercial interiors, building shells...

05:34...the whole building, and we go through the entire operational life of an existing building in operation.

05:40So we span scales from hundreds to thousands of acres to the scale of a tiny commercial interior of a few thousand square feet...

05:48...and we go through the entire life cycle of the building which may last 50, 100, 200 years.

05:53So we have a set of tools.

05:55Those decisions that we're trying to influence, that curve, is actually made up of these decisions over time.

06:02And the question is, at this inflection point, do we have the capability to come back...

06:07...and bring data and information and analytics to what up to now has been a process of...

06:13...kind of professional judgment and gestalt.

06:15And I want to demonstrate that I think we do.

06:18And the vision that I want to offer you and what I think is profoundly compatible with geodesign...

06:23...and may in some ways be the same thing, is a notion that as we move from the first 15 years of green building practice...

06:31...which is dominated by this notion of best practices, a conceptual notion of a distribution of practice...

06:39...that the next 15 years of green building practice are going to involve the use of information technology...

06:46...geospatial technologies, and GIS to create a practice that's driven by evidence, that's informed by place...

06:55...and powered by information.

06:57Let me tell you why I think we're at that crossroads and give you a demonstration of what that could look like.

07:03So now I'm going to be even more ambitious with this machine and try to click on something.

07:08There we go. Alright.

07:12Alright. So what I want to show you is a portal that we've created for the...that first time...

07:18...gives us the ability to understand the spatial and temporal dimensions of green building practice.

07:25And I'm going to show you an example from the state of Illinois.

07:28And it's a platform that we call the Green Building Information Gateway.

07:31This platform was built using the Flex Viewer API on top of ArcServer technology.

07:37It draws on a set of data that we, for the first time...

07:41...can expose information about those different project types on a near-real-time basis through a process we call lead automation.

07:49So what we've done is use GIS as an analytical front end on a near real-time data stream...

07:55...about actual built environment projects on the ground.

07:58And so to just to give you a quick idea about how powerful this is, from my perspective...

08:03...so some of it is what you would think. Right?

08:05It's dots on a map.

08:06That's kind of nice.

08:09Keep in mind that it's dots on a map that no one in our industry ever saw before.

08:13And when we click on a dot on the map, I get some attributes about that, which is, that's pretty basic, right?

08:20I find out about...what I capture from the green building process is...

08:24...I capture real, third-party verified information about the environmental performance of that building.

08:30I know about its site.

08:31I know about specific issues like water, energy, materials, indoor environmental quality.

08:36And I can capture on the bottom cross-cutting metrics...

08:39...like how do those factors combine to deal with greenhouse gas emissions reduction.

08:44That's nice. That's fine.

08:45That's the kind of transparency we need.

08:48But that's not the kind of information that moves that distribution.

08:52How can I use that information to actually find that missing diagram, actually build that diagram from real data?

08:58And that's what this is up here.

09:00So if I begin to say...if I click on here and I say, now put that project in context.

09:05What is this project?

09:07I click and I start to see that distribution.

09:10Here's that missing histogram.

09:11This is the distribution of achievement for all lead-certified buildings in the state of Illinois.

09:17So the building I clicked on is one of the best in the area...

09:20...keeping in mind that this distribution that I found is the one that is already much better than standard practice.

09:26But I can look at this, not just on the dimension of total achievement, like what's the aggregated thing you did?

09:32But I can break it down to specific issues.

09:34I can say, how are buildings performing with regard to energy including energy efficiency, on-site renewables, and commissioning...

09:41...those kinds of things.

09:42And I get this is a distribution.

09:43I say, where does this building fall?

09:45And if I have this information in hand, the question becomes, if I'm a portfolio owner or a local government...

09:52...and I can say, this is what the market's delivering in the state of Illinois...

09:55...why would I accept a below-average project?

09:58If this is what the market's capable of delivering and I can find it by type...

10:02...I can refine it by distance, I can refine it by vintage, and I can say, this is what the market's delivering...

10:08...and I can expose that information to decision makers on a near-real-time basis.

10:13Why would I accept anything down here going forward?

10:17The ability to empower, to show people that distribution, show them where an existing or a perspective project falls...

10:25...and incentivize the process to push that distribution continuously.

10:29Every day we punch another project into that.

10:31So I could show you all the nifty functionality about that we've enabled in ArcServer...

10:36...but I'm going to also invite you to talk to myself or Mira Panek who's right down here in any of the breaks...

10:43...and we're pleased to give you a hands-on demo.

10:44Since time is really, really tight, I'm going to just go back to the presentation real quickly...

10:49...and say that there's another way to access the same technology.

10:52We can put it in your hand.

10:54And we can...if you go to the App Store right now, you can download a similar set of functionality...

11:00...and in two weeks, you'll be able to download this functionality for the entire country.

11:03So you can click on any public lead project in the entire country, and you can compare it.

11:08You can compare a project on the left to the average for an entire state on the right.

11:13And you can put that project in context in near-real-time.

11:15You can bring this to the charette.

11:17You can bring it to the table, and you can look at the consequences of different decision making.

11:21And so in...so this is where you can find out more.

11:25I'm going to just close by saying, what we are going for here in the 30 seconds I have remaining, is to say...

11:31...we are seeking to bring this kind of transparency, this kind of augmented reality to the built environment.

11:38And by providing multicriteria data, and those data provide the basis for a universe of information tools that don't exist...

11:47...that we're only scratching the surface of.

11:49And we think by doing that, we're going to use GIS-powered information to advance practice...

11:56...and create better places for people in the environment.

11:58And I hope I've only teased you.

12:00So please come and talk to me and Mira over the next couple of days and we'll do better.

12:06Alright. Thanks.