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Resilient Design with Triple-Bottom-Line-Enhancing BIM

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Description

By standardizing data, methodologies, and output, the triple bottom line (TBL) can augment BIM (Building Information Modeling) (6D = 3D + cost + schedule + TBL). Automation of triple-bottom-line cost-benefit analysis (TBL-CBA) means that TBL-augmented BIM can bring high-performance building design, resiliency, and sustainability to smaller and smaller design decisions. Computational design needs a guiding algorithm that aligns with owners, infrastructure users, community, and environmental values. Civil engineers must understand stakeholders’ expectations to keep projects on schedule. We will provide examples of how cities have used TBL-CBA to prioritize infrastructure projects. For more information, see https://en.wikipedia.org/wiki/Triple_Bottom_Line_Cost_Benefit_Analysis.

Key Learnings

  • Understand how BIM can be extended with value metrics
  • See how cities have prioritized infrastructure projects based on best value
  • Learn how TBL–CBA is an excellent guiding algorithm for computational design
  • Learn how to avoid the 10 common traps in the triple-bottom-line cost-benefit analysis (TBL-CBA) process

Speakers

  • John Parker
    John C. Parker is the Chief Economist and Co-Founder of Impact Infrastructure. John as over 30 years of experience as an economist. John led the Canadian economics business for an international architecture and engineering company, where, with Impact Infrastructure's co-founders he pioneered the development of the the Sustainable Return on Investment (SROI) framework. John has worked in the green infrastructure, stormwater, building, transportation, health care, sustainability, risk, and energy consulting areas as well as the risk management software and financial services sectors. John has an M.Phil., on Economics from Oxford University, and a B.A. (Hons.), Economics, from University of Western Ontario. He is an ISI Envision Sustainability Professional.Wilfred Hsu is an environmental engineer with over 19 years of experience in stormwater management projects in California. He specializes in stormwater quality management, green infrastructure and BMP design, hydrologic and hydraulic analyses, preparation of stormwater management plans, water quality analysis, TMDL implementation, and NPDES compliance.
  • Stephane Larocque
    Stéphane is Impact Infrastructure’s Consulting Practice Leader. His clients have ranged from federal departments such as the Department of Defense and the National Renewable Energy Lab, to major local organizations such as the Metro Wastewater Reclamation District in Denver and the City and County of Honolulu, to giant corporations like MillerCoors and BNSF Railroad. He brings a background as an internationally recognized professional in the field of triple-bottom line economic analysis, which reflects the environmental, social and financial impacts of all manner of infrastructure investment. Over his nearly 20 year career Stéphane established himself as a thought leader in this space, speaking at conferences for groups such as; the American Public Works Association, the US Green Building Council, the Harvard Graduate School of Design, the Transportation Research Board, the American Planning Association as well as teaching Masters level workshops at Columbia University in New York.
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Transcript

STEPH LAROCQUE: Well, welcome to this early morning session. Happy that a lot of people decided to join us. My name's Steph Larocque and I'm the COO of a small software company called Autocase. The auto is not by accident. Autodesk is our biggest investor.

It wasn't a requirement. We actually were going down that path before we actually even got the investment. Our software was called Autocase before we got the investment. Not terribly creative, but it stands for automated business case-- is really what it means.

So I'm a Canadian, as is John, but we're a New York based company. Our primary-- we're two of the co-founders, by the way. There's three founders. Our primary owner is in New York City. He used to be the largest shareholder of HDR. You guys might have heard of that as in architecture engineering firm. The three of us come from HDR, and we started this company a little over six years ago. I guess it was about seven years ago John and John started. I was the last and final founder.

So I'm actually-- we're both based out of Toronto, and our software is actually developed in Toronto. But our clients are primarily in United States. Of course, we have a lot of Canadian clients as well. And I'll let John introduce himself as well, and then I'll continue. [LAUGHS]

Just keep going? All right. Well, then I'm going to talk some more about who we are. So we both were working in the environmental economics. And John was actually the leader of that, and then I became the leader once he left to start this company with John Williams.

And we developed something called SROI-- sustainable return on investment. Some people may have heard of it. It involves consulting. And our software, which doesn't directly involve consulting, we call triple bottom line cost benefit analysis. And that's where I'm hoping the slide moves forward this time. There we go. All right.

So I'll describe what triple bottom line cost benefit is, but SROI is a type of triple bottom line cost benefit analysis that requires stakeholder engagement through a consultative process. So just in case people are familiar with that-- that's not supposed to happen. We might have to use the computer directly in a second here if this keeps happening.

So what does triple bottom line cost-- it's moving forward on its own. Not sure why. Is there-- can I hit pause? Maybe that's what it is. Sorry about this, guys. OK. Think it might be steady now. Nope. [LAUGHS]

Well, while John's looking into it, I'll just describe it. Maybe he can make it stop moving forward. So triple bottom line is financial, social, environmental for people, planet, profit, or profit, people, planet. And cost benefit analysis, which a lot of people mistake for just sort of looking at the costs and looking at the dollar benefits, is actually, by definition, involves putting a dollar value on non-cash impacts-- things like mobility benefits, things like improved productivity, things like less illness, better wellness. So triple bottom line cost benefit analysis incorporates all that.

So from the financial perspective, you might have heard of lifecycle cost analysis. So it includes a lifecycle cost analysis where you look at the upfront costs-- the costs of operating and maintaining over the life-- the residual value at the end, the cost of disposal if there's any, that kind of thing. In terms of the social environmental factors, we add dollar values on all those things I just mentioned-- using best available third party information. And, of course, our software is designed to automate all that.

So can I move forward?

JOHN PARKER: [INAUDIBLE]

STEPH LAROCQUE: All right. We'll see what we can do. So I think I mostly covered this. You can see we have a nice little diagram on the side. But essentially, we look at everything from three bottom lines as well as, of course, incorporating them all. So for instance, we would look at-- in a building, we look at the owner of the building, the tenant of the building, and the community around it as an example, all right?

Let's try this. All right. So I think I covered that as well. You can see here, probably this describes what I just said in the easy-- well, this is not a minus. This is a hyphen.

So lifecycle cost analysis, cost benefit analysis, and triple bottom line is really what TBL-CBA is. All right. That didn't work. There we go. All right.

Goals. Oh yeah, so this is an example of what we're talking about. It was done with the software, but it doesn't matter that it was done with the software in this particular case. So this is Dewberry, a Washington, DC, essentially, based architecture and engineering firm. And we looked at the retrofit of their headquarters in Virginia. And these are some of the investments that they were making in the building, and you'll see that we looked at them from a triple bottom line cost benefit perspective. And I'll explain what that is.

So they were looking for LEED. So this could be seen as a business case for these investments in building a smarter building, getting LEED certification. All right. Good.

So in terms of electricity-- there will be other slides for other things like water-- but in terms of electricity, there is a savings in real dollars, of course. So that was reflected over the life of the building. So that's part of a lifecycle cost analysis.

Then, we put a dollar value in greenhouse gases and air pollutants avoided by reducing electricity use. So Virginia uses coal as a lot of their grid-- pretty dirty fuel-- and they get a lot of benefits if they save electricity. Can be very different in other parts of the country-- and I'll talk about location stuff in a second-- but for instance, if you're in the Pacific Northwest, as an example, it's a lot of hydroelectric power. You're going to get less benefits. So this is an example of the triple bottom line impact on energy of that retrofit of the building.

In terms of occupant benefits-- so think wellness and productivity. So reduced sick days. Reduced-- well, reduced asthma, et cetera. So we put dollar values on all these kind of impacts, productivity being the biggest one at the bottom. You'll see for sort of office building type spaces, typically productivity is the biggest benefit. That's because-- I'm sure people have heard this many times, or certainly if you guys were all architects you would've heard this many times-- but the upfront capital costs of a building is about 1% of the total operating costs, including salaries over the life of the building.

You look at it this way. The upfront capital is about 1%. The operations and maintenance over the life of the building's about another 9%, and the other 90% is employee salaries in the building. So that's why it's such a big impact.

We're looking at water here. So you've got the capital costs, of course, of putting in reduced low flow fixtures and things like that. But then you have the improved, or the social value, of not using that fresh water in the first place. And then there's a little bit of the air pollution and carbon from pumping the water that you wouldn't have otherwise had to pump as well. So that's impact considered there.

And then, in terms of waste reduction, you can see things like reduced carbon impact, and then other types of pollutants like VOCs, particulate matter, NOx, et cetera. So we put dollar values on all those things, and include them in the triple bottom line. So that was an example of doing that in a building context.

Here's our software. So like I said, we started this software, Autocase. You can do that kind of analysis very quickly and easily anywhere in North America, Canada, or the US. You just choose your location, put in a handful of parameters. You don't need a lot-- obviously, the square footage of the building, number of employees, that kind of stuff. There's lots of defaults.

We're mostly talking about buildings here, although you can see that we also do sites. So we do the surrounding area of a building, or the right of way on a transit project or a park. What we don't do yet with the software is things like a transit project, you know, include the value of getting from point A to point B. We're getting there. Wastewater treatment plants-- we still do that kind of stuff as an advisory service, but we do have buildings and sites automated right now.

All right. What do you get by automating that kind of stuff? Because we used to do it as consultants at HDR. We had the SROI practice.

Well, the fact that we have a existing database-- by the way, Autocase is all in the cloud. So an existing database of all these values, constantly updated-- methodologies are updated. Source values are updated. And we're constantly improving the product with constant releases. And the fact that you can iterate very quickly on project design throughout the project-- those are huge benefits to allow you to optimize your projects, OK?

Stuff that we're looking in the future that John might touch on is stuff like generative design and integrating with BIM, as an example. That's his part of the-- I'm just laying the groundwork for his part of the conversation. Another nice little diagram. Where do we get this data? Generally, it's federal government guidance. Sometimes it's best available university peer reviewed studies. But as an example for carbon, we would use the Interagency Working Group on the social cost of carbon value, which is used by the [? GOT, ?] let's say, for cost benefit analysis studies.

Location specific is very important because a lot of stuff like LEED, for instance, is fairly generic, as in you get the same amount of points for optimizing energy in one spot versus another, even though the grid may be completely different. Or you get same amount of points for saving water in LA where water is extremely scarce as, say, in Montana. We don't do that. It's very location specific.

Here's an example of all the things that we look at from a location perspective. But it can have a huge difference. If you take the exact same project and just switch the city in which it's located, you'll see completely different results show up. That's very important.

That we don't have German? [LAUGHS] We don't have Germany yet. What did you need specifically [INAUDIBLE]?

AUDIENCE: [INAUDIBLE]

STEPH LAROCQUE: All right, cool. Well, we'd love to add Germany as well as other-- we're actually looking at a project right now in Africa, and potentially getting some European Investment Bank money-- which is somewhat German money, I guess-- to expand beyond North America. We do want to do that anyways, but we're starting with our home base, if you will.

So here's a different way to illustrate what we're talking about. So just picture any kind of capital investment to improve, make a building smarter, et cetera. You've got increased upfront capital, typically. Now, sometimes people say it doesn't cost extra to be sustainable. They're talking about over the life, typically. Sometimes there's no upfront cost, but typically there is.

So let's say you're spending a little bit more upfront to get a better product at the end of the day. You can add some usually social value. Here's an example of the kind of things you might consider-- heat island effect, that kind of stuff if you're putting a green roof on. That kind of thing.

Environmental benefits which are-- those are probably the most well understood ones-- your electricity, your water, typically. And then you combine these things into a triple bottom line. And as I said, we report it-- not only financial, social, environmental-- but also owner, user, community as well. So there's lots of different ways to splice it.

Here's an example of some of the stuff we've looked at the city level, site level, building level. I'll just quickly cover these. In Edmonton, which is the gateway to the oil sands in Canada, we looked at-- for the city-- 33,000 different potential green infrastructure investments. That's about a dozen at whole bunch of different sites in a batch processing.

This is not our typical software-- this involved some advisory services-- but essentially, in about 24 hours, we were able to analyze 33,000 different potential investments. On a site level, in New Orleans for 100 Resilient Cities, of which we're a platform partner, we were able to look at a new 25-acre water garden and justify some of the benefits of that investment.

And for SFO Airport in San Francisco-- they're using it extensively. They're actually one of our best customers, and we're-- they demand this kind of triple bottom line cost benefit analysis on capital investments at the airport. There's a few other jurisdictions that are starting to do that-- city of Phoenix is an example. And we're growing attention in this-- usually from the owner side. The owner wants to know this kind of information because they want to know what their bang for the buck is.

Here's a nice little slide with a bunch of our different clients. You might recognize, hopefully, a bunch of these organizations. LA County is another really interesting one. So they're spending billions of dollars on stormwater improvements, and they just passed a new tax measure for stormwater tax, essentially. They need to figure out where to invest those hundreds of millions of new dollars, prioritize investments. So they're working with us to customize our tool for LA County. So it's probably our biggest customer. Well, that and SFO are our biggest customers.

Let's see. Here's another interesting project. It's with WSP, one of the world's biggest AUC firms, and it's the California High Speed Rail Project. So this is the biggest construction project in the United States. And like I said, we're not doing analysis right now with the software on alignments and what kind of cars they should use for the-- but we're looking at the transit stations from a sustainability perspective.

I'll let you guys read some of these bullets. You probably already have. But they're looking at net zero energy, et cetera. Huge high profile project.

So they looked at, so far-- and this is them doing it on their own. So I'm not actually super familiar with how the project went. I stole these slides from the client. So in terms of-- they looked at as a station in Fresno. They looked at different standards-- I'll show the results in a second-- like ASHRAE or Title 24-- and then the high speed rail standards that they're building to.

They looked a bunch of different things like u values, et cetera, as part of the analysis. And then, this graph over here on my right-- your right, too-- shows some of the results. But the main points over here-- I'll let you read those, but I'll just show you what I see. So if you go ASHRAE 2010, that was the baseline that they would have used, obviously. That's why it's zero. ASHRAE 2013, you can see some improvements. And then, Title 24 is even better.

By the way, the benefits here are split between the owner-- California High Speed Rail-- the riders, or users, and the community, as I said before. So you can see that the rider benefits from ASHRAE 2013 are much better in 2010. You can see there's, again, a little improvement for Title 24. But then the design alternative that they are choosing-- the California High Speed Rail alternative-- are the best of all, from a triple bottom line perspective.

You can see it's more expensive-- the blue line at the bottom. It's going to cost the owner more to build a smarter transit station. It's going to cost them more. But this is the justification. The benefits far outweigh the costs. And of course, as you might have imagined, when the owners are a county, municipal government, city, university, airport, hospital-- they tend to care more about these kind of triple bottom line results than a straight up for profit.

However, the for profit companies as well can take this information and use it for their own benefit. So if they're an architecture engineering firm, they can use it to help their clients get better projects built, right? If they're a logistics firm, like Prologis who's one of our customers-- the world's biggest logistics firm-- they can use it to justify getting some kind of benefit from wherever they're putting their facility.

So for instance, they put a smarter, greener warehouse in this community, and they can show that they're doing it better than anyone else, it gives them a benefit. Of course, it gives them PR benefits, it's helpful when they have their ESG type reporting, right? So that's what we're seeing. Mostly, the public side is very interested in the actual results, and the private side is using it to help them gain a competitive advantage for their end clients.

Let's see where we're at. Now, we can talk about BIM 360 and integration.

JOHN PARKER: Thanks, Steph. My name's John Parker. I'm the chief product officer for Autocase. And Steph mentioned, or I asked him to address this question about the company from Germany in the audience. Our data does not cover Germany. I forgot Denmark and Sweden. Sorry, guys. We haven't got anything for Denmark and Sweden either.

We are doing some work stuff, as Steph said, in Africa and Australia. Just want to point out that the triple bottom line cost benefit analysis is not location specific. The methodology is not location specific. The data is.

The cost benefit analysis, which has been around for over 100 years now, has been standardized. There are economists out there who will tell you it's not because they want to get you to pay for a custom cost benefit study, but it is standardized. Governments have standardized it.

So there is slight differences. If we're doing work in Australia, the cost benefit standards are slightly different than Canada or the US. UK-- same thing. But really, it's just the values that you're using. So in the UK and the US and in Canada, you have to put a dollar value on the value of safety, so the value of a human life. There's values that you use for carbon, as Steph said-- pollutions. Those values differ, but the basic methodology doesn't. So moving from country to country is a matter of changing the data.

So we did a hackathon this year to show how TBL-CBA could be integrated with BIM 360. And for us, this is a natural thing to do because BIM 360 is this warehouse of information. And we just suck information in and put information out.

And when we looked at-- that's the wrong way, John. OK. When we looked at BIM 360-- actually, when we looked at BIM, the one thing to us as economists that was obvious was missing from this was value. There's quite a bit of talk about 5D now, so three dimensional plus cost plus schedule to get you to the fifth dimension.

As economists, we think about value. So it's not just how much cost are you spending and when are you spending the money? Those are both important, but it's also what value you're getting for that. So as Steph said in the California High Speed Rail example, or the Dewberry headquarters example, those are cases where they're spending more money, but they are demonstrating, with triple bottom line cost benefit analysis, what the value is. So that's what we thought was missing was the value to the building owner, or the infrastructure owner, the value to the occupant or the user-- so productivity type benefits Steph was talking about-- or the value to the environment in terms of reduced carbon emissions. These are all measured against the costs. So that's what we thought was missing.

So BIM's got a lot of information, but it didn't have this other dimension that we look at, which is value. So there is information in BIM that we can pull out. So if you're designing a building and you're doing renewable energy on site, so reducing the amount you're taking from the grid, we can use that information. If occupants have access to things like thermal comfort controls, or you're changing the amount of daylight in the building-- those kinds of design considerations have costs, which are already being captured in BIM, but they also have the benefits, too, which is what we're calculating.

So if a project is capturing stormwater-- another example. So if you're putting a green roof on the building, you want to account for the benefits of that green roof-- the fact that it's cleaning the air. It's cleaning the water. And it's providing benefits, not just costs.

So we did a hackathon, and it's very easy in Forge these days with their APIs to open up a BIM project from somewhere else. We're cloud based, as Steph says. BIM 360 is all cloud. So we just open up the project in Autocase, and we ask, do you want to open it in BIM? Get the credentials and do it that way.

We can also pull in-- sorry, back up a bit. Autocase is designed, as Steph said, with a lot of defaults built in. So you put in a location, size of a building is an example, number of occupants, what type of building it is, and you can run an analysis. But similarly, once you get into the details of design, you can also look at-- I want to look at this HVAC consideration versus another one, or this amount of day lighting versus that.

So we're also able to pull the details out. So once you get to the more detailed design, we can pull the information in and rank the design. So if you've got various design alternatives, we can rank them in terms of the triple bottom line-- the cost benefit analysis.

One of the reasons we looked at this kind of use case is that more and more in the US-- we've seen a lot in Canada already-- but public private partnerships are becoming very much a thing in the US. I say in Canada it's been around for quite some time. In this P3 environment, you're basically designing at risk. So you're competing to win a bid, and so you can get to fairly detailed designs.

The important thing, of course, for the P3 is you not only have to win the bid, but you have to show why yours should be the winning bid. And in public private partnerships, some of these public benefits are important. So people need the quantification of the environmental benefits. They want to know what the benefits of cleaner air and so on, and that your design is meeting all of those.

Of course, the last use case we looked at is pulling stuff back from Autocase on the right back into BIM. So once you've got a design that you think is a winner, then you can export the information back. Save it with the design, so you have the business case with your design alternative. So this is why this design alternative's a good thing. Here's how many tons of carbon it reduces. Here's the impact in terms of occupant productivity, and so on.

So the other benefit to this type of analysis is-- what we found in terms of sustainability is quite often you get a sustainability advocate that says, this is the best thing we can possibly do. And then you get to the value engineering stage, and it's taken out because while it is a good thing to do and most people have it in their gut that this sustainability initiative, whatever it might be is a good idea, there isn't the case to support it when it gets to the value engineering. So we found it extremely important to kind of keep the business case current with the design so that any sustainability initiatives you may build into the building's design or site design can make it through that value engineering process.

And since everything is in dollar terms-- so over here, this is a ranking of two designs. They are in dollar terms. So we've taken all of these benefits, put them together with a dollar value on them, and added them all up so that you can compare different designs. So a design that may be focused on day lighting, occupant comfort. Another one may be focused on water and energy savings. Those can be ranked even though they're very different in their goal's objectives, the costs and benefits can be ranked in terms of triple bottom line cost benefit analysis.

So as I was going around the room beforehand-- I'm sorry, I didn't get to meet you all. There's quite a few people from construction, so I want to say just a few things about how TBL-CBA is being used in construction. So I've kind of alluded to these benefits that's been going on, and we've heard a bit about them from the case study that Steph mentioned with Dewberry.

So what we try to do is help people in construction is to win bids. And we know the construction industry these days is split into two, right? There's the people who actually build stuff, and then there's people who win the bids for the other half of the company to work on. So we're focused on helping those folks, those people that are going after construction bids.

And the concept here is you can make the case for your bid. As you're designing, as you're in the conceptual design, preliminary design, through the detailed design, you can show the business case. And you can share this with different stakeholders.

So if the primary owner is a regional government who set carbon emission targets and that's one of the goals for their building, then you can show them through the design how this thing works. If you're concerned about community pushback, as Steph said-- perhaps you're putting in a big warehouse somewhere-- if you-- or perhaps a better example, putting in a data center. And you are going to be the biggest user of water in the area, and you're probably going to suck half of the water out the aquifer. You want to make the case that you're going to be a good corporate citizen.

So you want to value that water use-- the social value of water. You also want to value the things that you're bringing to the community as well. So if you can show people what these social environment net benefits are, you get less pushback from opposition. So you can reduce delays.

So the type of benefits that we're talking about-- on the other slide, these were all the types of things you're doing. So day lighting gives improved productivity and health going around. Water savings-- obviously, you save water, you save money because you pay less utility costs. But there is also reduced benefits in terms of pumping. So you're not pumping the water, or the water is not being pumped by somebody, so there are greenhouse gas and air pollutant-- depending on where in the country you are, as Steph said.

There's also social benefits of water, too. If you are working in Los Angeles, as an example, water scarcity is an issue. If you're in Tucson or Phoenix, water scarcity is an issue. So there, there's a higher cost of using water than in Toronto, where I'm from, as an example.

So those kinds of regional differences are important. They get rolled into this automated business case. Going round again, if you-- so third one around-- the light bulb. The lighting benefits that you can provide to people are in terms of productivity.

Green roofs will reduce flooding. Also will lower the urban heat island effect. So some good examples of this where-- remember the green roof I had from Toronto-- it was all brown because it was just a couple of weeks ago. But there's a real cooling effect to a green roof. So what's the benefit of that? You reduce the urban heat island by a couple of degrees in the neighborhood.

Well, it doesn't matter much except when it really does matter. And those are on the few days when it's really hot and people die. And so we can actually quantify-- not us, but some smart people at universities-- have quantified the relationship between these excess heat and deaths. And we put a dollar value on those deaths. So to the fact that you've got a green roof will actually give you a benefit in terms of lower heat island.

Cleaner water, clean air. Some of the other ones-- well, the other ones are quite-- well, [INAUDIBLE] I'll highlight here is the one on here, which is quality views. So giving people a view of nature, giving people unimpeded views of the outside is a real benefit.

There's a benefit in terms of productivity and reduced absenteeism, which goes back to a business opportunity I saw when I was working in the 1980s in a little cubicle. I couldn't see the window, and I thought, wouldn't it be nice if I had a poster of the outside? And I thought about selling views from famous people's offices that you could put up on your wall, like the view from Bill Gates' office so you could have that in your office, as an example.

Anyway-- now we can actually put a dollar value on that benefit-- on the benefit of the quality views. So you can choose from a scale in terms of how many people have access to what kind of view, and we'll put a dollar value on that for you.

This is a bit small, but I'll just highlight a couple of things here. [INAUDIBLE] bottom line cost benefit analysis-- this is for buildings rather than sites, but it allows you to rank design alternatives. So if you've got three design alternatives in the top right, you can see quickly which has got the best net benefit. It also allows you to break that down by the triple bottom line-- so environmental, social, and financial in the middle here.

You can also think of this as people, profit, and planet. Profit is the one that people always focus on, the planet somewhat, and the social is one that is gaining more and more interest. So you can break it down into those triple bottom lines. You can also break it down by stakeholder-- so owner, occupant, or community as another example.

You can also break down where the value is coming from. So which initiative is giving you-- how the value, basically, builds up to the total value-- the waterfall in the far right. So you can think of this table here as the benefit-- who gets the benefit? Which triple bottom line cost bucket it falls in. The overall value. And then you can drill down and see which-- in the top-- which of the benefits are providing it.

So I said, what we're aiming at for construction is helping people win bids. And so that's responding to an owner's need for a healthy building, one that has a small footprint, and proof to the community and the building occupants that this is a good design.

So integration with BIM 360 is kind of an obvious one. As I said, value's missing from the design case-- making the business case for the design. So allowing you to track these benefits across the multiple stakeholders is what we're looking at.

You may have seen this diagram before in your Autodesk travels with the BIM kind of layer cake here, with Forge on the bottom, data in the middle, and then analytics. So we're sitting at the analytics level in BIM, but we are trying to add this fifth box, if you like, up at the top. So working back from operations, building, glue, and design-- before you get to design, you've got to win the thing, and you've got to make the case that this is a good design and this is-- or that we have the ability to track and show you the best design, or the ability to show how the design can add value.

So we're still kind of working through what the best use case is for the integration of Autocase into BIM 360, but it's being used on P3 and traditional bids. I'm going to tell you a bit about one example. Steph mentioned this one before.

So this is San Francisco airport. They have a $2.4 billion redevelopment underway for their terminal one. It's 1.18 million square feet, 770,000 of which is the terminal one center. It's a renovation that's targeted to achieve LEED Gold, and they've done a couple of things with TBL-CBA, kind of trying it out. Steph said they're moving towards requiring it. Or do they currently require it?

STEPH LAROCQUE: It's in the sustainability requirements.

JOHN PARKER: It's in the sustainability requirements.

STEPH LAROCQUE: [INAUDIBLE] that's for the terminal one expansion but [INAUDIBLE]

JOHN PARKER: Terminal one.

STEPH LAROCQUE: [INAUDIBLE] making it for all capital investors [INAUDIBLE]

JOHN PARKER: Right. So it's in the sustainability requirements for terminal one redevelopment. They're looking at it for all other capital improvements at the airport. So they require this triple bottom line cost benefit analysis.

In a very small table down the bottom, I've shown just a couple of the types of analysis they've done. This one was looking at the triple bottom line for several different options. So green roof, electrochromic glazing, motorized window shades, interior landscaping, radiant heating and cooling, ground source heat pump, and-- excuse me.

They also looked at some energy designs and compared some energy designs which are not up here. One was looking at just traditional grid use of taking stuff from the regional grid, and taking potable water from the local water system. And they also looked at another example, which was going to 100% hydroelectric, so emission free power, and 85% of their water being sourced from on site recycled. And they did the triple bottom line cost benefit analysis, and those energy and water things gave cost benefit ratios of between one and a half to five-- 4.9.

So what that means, the benefit cost ratio, is that these costs and benefits-- which are over a long period of time when you discount them back-- for every dollar you're spending, you're getting back either $1.50, or $5. So there's $5 in benefits for every dollar of cost, and that's taking into account the time value of money and everything.

But that's the type of feedback that you can get through the design process. [INAUDIBLE] various design initiatives, various sustainability initiatives you may have, and how you can make the case for this. So another one that they did was they also looked at things like reducing volatile organic compounds. So in their materials choice, they were looking at things which reduced VOCs, and looking at the environmental social benefits, and the benefits to health and productivity and so on.

So that's an example of how a very large construction project is integrating this triple bottom line cost benefit analysis into their work. I'll just leave you with a quote from Anthony Bernheim who works for SFO. I'll read it out for the record.

"Without Autocase, we would be shooting in the dark as to which design features are worth the money. Traditional cost estimates are too narrow, emphasizing first costs over lifecycle costs, and forgetting about traditionally unquantifiable dynamics like the impact of indoor air quality and natural light on employee wellness and productivity, or the benefit of interior landscaping and daylight for passengers and retailers. But those impacts are very real and they become quantifiable--" I can't read the last bit of this. I'm blushing too much.

So one thing I should mention is that how design benefits may affect retail spending, which as he mentions here, is something that's an area of study for us. We have not yet found good research. We have some research, but we go through this process where we said, can you make that link, or has somebody made that link between, perhaps, interior landscaping and employee productivity and health? If they have, and it's peer reviewed, documented, and perhaps there's a meta analysis-- a bunch of different studies proving that-- then we will build it into software.

If we have one study that says, oh you put a tree up then people will spend more money, but it's in a trade journal, it's not peer reviewed, we'll look at that and wait for the science to catch up. So we are using established research. When there is good evidence, we will build it into the software, put the data behind it, and add it as a benefit.

But the whole indoor environmental quality is an area, as you probably know as designers, builders-- it's one that is undergoing tremendous research now. There's lots of labs being set up. We are piggybacking onto that and looking at designs, such as [? well ?] and other standards.

But there's lots of research in the area, and we're following that research and building it in. The whole point about what we're doing is we're trying to automate this stuff so that you guys can use it and don't have to hire a team of economists to do it. Or just as Anthony says, go with your gut, but don't make the case.

There is one last thing I'll say before-- and I'll ask you if you have any questions. The one last thing is that there was a class hand out for this. If you can't find it, or you want me-- you don't want to go digging through the annals of Autodesk University, just give me a card and I'll send it to you. It's got more case studies, examples that we've talked about how people built resiliency into their design, and how various cities are using it, airports.

And then we also share some-- if you're going to do this type of analysis-- some things that we've learned along the way. We've been doing this for a few years now. So the traps associated with doing triple bottom line cost benefit analysis and what to look out for and what to be aware of. So as I say, if you can't find it, give me your card and I'll send it to you. Happy to answer any questions-- oh, OK. Steph, get up here.

STEPH LAROCQUE: I also wanted to mention, because we didn't mention it already, is that through LEED you can get credits now for doing triple bottom line cost benefit analysis, or Envision on the horizontal side of infrastructure as well for those of you who are familiar with Envision. So it's becoming more common to do this type of analysis in general. You can pick your questions--

JOHN PARKER: OK, we'll start in the back and work to-- sorry. Yes.

AUDIENCE: Thanks, John. Good presentation. So two quick questions. Typical cost for-- and [INAUDIBLE] solution [INAUDIBLE] subscribe to [INAUDIBLE] typical cost. And then what are the outcomes [INAUDIBLE] Can we get something to hand back to [INAUDIBLE] here's what we get back from [INAUDIBLE] What kind of feedback do they give you?

JOHN PARKER: OK.

STEPH LAROCQUE: Do you want me to take that one?

JOHN PARKER: He's the money guy.

STEPH LAROCQUE: That sounds like more of a question for me. He can do the hard questions. I'll do that one.

AUDIENCE: OK, Steph, I'll address the question to you.

STEPH LAROCQUE: All right. First of all, so pricing varies. We don't have a set price. If you go on the website, there's not a set price. But pretty much, we package in-- first of all, we get account managers with the software. So you get a real, live economist to work with, right?

So pretty much our pricing starts around $5,000 per year per license, and it comes with real, live support to make sure that you're using the software properly. So that's a subscription based service. But we also go on beyond that to like enterprise pricing for large organizations, again, as an example, especially if there's customization.

So some of those big customers, like LA County, as an example, they want a customized LA County solution. So it can be more expensive. But essentially, five grand per year for a module is how we do it.

In terms of what the customer gets, there's automatic-- the results-- I'm going to pop back here to one of these slides that show outputs. I don't think, John, that you'd mentioned, but these are just exports from the software as an example. So you can export your results in Excel. You can export your graphs as JPEGs. And, in fact, there's an automatic produced report that you can submit to get the LEED credits that I was just talking about a second ago.

So there's a lot of outputs that you can just take. Now, in terms of additional support for your end client, that can also be where our account managers or economists come into play. So for some clients, as an example, they want us to come-- they want our economist to come to, let's say, a city council meeting or something similar, or some kind of a local meeting. We can include that, obviously, if travel is covered elsewhere.

But we are all about customer support. So if you need help convincing your end client that this is valid and useful information to help make decisions, prioritize capital-- we're all about supporting that kind of activity.

JOHN PARKER: So if you run the LEED-- the thing that gets you the LEED points, Steph said you get a report out of it. It's not just a report of the results. It's also full documentation of where those numbers come from. So it shows the value of how you get to--

STEPH LAROCQUE: The methodology sources--

JOHN PARKER: Yeah, the methodology sources. So it actually gives you all the documentation as well.

STEPH LAROCQUE: And I just pulled this slide back up as well because on the right of this slide, you can see this is an example of the methodology. I can't even read it here or here, but I'm assuming it talks about our methodology because it's supposed to.

JOHN PARKER: Oh, yeah. Over here.

STEPH LAROCQUE: Yeah, on the far right. So when you're actually in the software, it describes the sources and methodology while you're in it, and of course there's documentation on the output side.

JOHN PARKER: So this is showing how we take federal comfort of a building and how we translate that into the productivity benefit, how it's based on this study here-- [INAUDIBLE] et al 2006-- where as temperature converges to 22 degrees, you get to optimum. If you deviate from that, you get reductions in productivity. And how we use different county level data in the US and Canada to monetize those productivity benefits. So that sort of documentation associated with it.

STEPH LAROCQUE: And that's just-- the part on the right is-- well, not this slide. That's two different-- but that's a screen capture from the software. That's exactly what it looks like.

JOHN PARKER: There's somebody else here.

AUDIENCE: I think you sort of answered my question. I'm just trying to understand [INAUDIBLE] updates [INAUDIBLE] the results are often useful because [INAUDIBLE] rather than [INAUDIBLE]. But it seems like it's a mix of real world values [INAUDIBLE] Have you [INAUDIBLE] to see how your metrics stack up after [INAUDIBLE] or--

STEPH LAROCQUE: Well, I'll take it. You can jump in after me. So that's a question we often get. It sounds like, did those things actually happen? Is that kind of the question?

AUDIENCE: Yeah.

STEPH LAROCQUE: Yeah, OK. So typically, especially as consultants, you don't go back and see if something actually happened, right? Because you're hired as a consultant to come in and make a decision or produce a business case, and then the decision's made. Then you go away and the thing's built or whatever.

So typically not, but one of the advantages of software is that you should be able to easily go back, look at the actuals, and rerun. That hasn't really happened often, although it's starting to happen that people are looking at-- with our software-- decisions that were already made in the past and looking at them from an actual perspective. That's the advantage of software. You're not going to pay a consultant $100 grand to relook at something where the decision's already made.

But with the software, you can-- especially if you already have run the project once-- you just update with the actual electricity savings, the actual water savings. Very easy to compare results retroactively.

AUDIENCE: [INAUDIBLE]

JOHN PARKER: That one? Yeah.

AUDIENCE: [INAUDIBLE]

JOHN PARKER: Yeah. Very much so. Because we don't need a lot of information to run the business case, we can do it in conceptual planning stages. But then, as Steph said, you can run it with actual data once the thing's built cheaply.

In fact, most of the pilots that people do with that stuff-- well, let's look at this thing we did last night. Was that a good choice? So we do get a lot of that. Some other questions. Yes.

STEPH LAROCQUE: Just to-- one last to piggyback on that. So the software is designed to look at things in isolation-- i.e. what's the business case-- on its own and comparatively as well. So in some of those other graphics-- I'm not going to bother pulling it back up-- but you can see it's compare design A versus B, just like the California High Speed Rail Project, right?

You can look at it just straight up is it a good idea, for society's perspective, or compare different alternatives. I think comparing different alternatives is probably the more popular one, right. Like, they know they want to do something better than normal. Which is the best better than normal?

Another way to look at that would be, OK, we want a LEED Silver building, but there's a lot of different ways to get to LEED silver and you can compare them, right? It's not all apples to apples. Go ahead.

AUDIENCE: I want to ask about the BIM 360 [INAUDIBLE]. If I was to look at 10 different products in my office, I would find 10 totally different [INAUDIBLE] strategies [INAUDIBLE]. So I'm wondering how you-- with BIM 360, what data are you pulling? And how do you account for sort of like those erratic differences between [INAUDIBLE] projects [INAUDIBLE] data?

JOHN PARKER: Steph, you want to?

STEPH LAROCQUE: [LAUGHS] Well, I'll say we're not integrated with BIM 360 yet. This is the vision here, so that's the easy answer. But go ahead.

JOHN PARKER: What I was going to say was-- I mean, we can't do anything about bad data, right? The holes in the data, the bad stuff. There has to be some kind of consistency in the analysis.

We are pulling whatever information we can get our hands on, so if you have cost data, we will use it. If you don't have cost data, we will use defaults for that type of building in this city. So there is always the option, I guess, of if somebody has put in a wild, crazy number, or it's just a mistake, that you could start with the Autocase defaults and then put in the BIM stuff afterwards. Sorry, there was another part of the question apart from the data. I missed that-- the first part.

AUDIENCE: [INAUDIBLE] bare minimum [INAUDIBLE] And then from there, [INAUDIBLE]

JOHN PARKER: Right. And at this stage, we're looking at a higher level than the component level. I mean, we're looking at bigger initiatives. So the skin you're putting on this building, will it reduce the energy consumption by 5%, 10%-- that kind of level. Or are you providing individual thermal comfort controls to-- what percentage of employees, of occupants, get that?

So moving a wall, some point we'll be able to pick up that yes, there's a cost change to that. Right now we can't pick up the benefit change unless it changes something like ventilation rates, water usage, airflow, access to day lighting. So those are the bigger things that we need to translate into. So that's the kind of mapping that Steph said we haven't done yet-- we haven't got to.

But for the high level, just create a project in Autocase, populate it, and pull in the basic information of where it is, how big it is, what building it is, that kind of stuff. We can pull that in and then push stuff back out as things get modified. You can't do anything about bad data.

STEPH LAROCQUE: Just to add, so we're looking at integration with BIM period. We already are looking at that, as you mentioned hackathon, et cetera. But we're actually hoping to get funding from the Forge fund-- the Autodesk Forge fund-- to actually really bring this to life.

JOHN PARKER: Anyone from the Autodesk Forge fund?

STEPH LAROCQUE: Can you get us a check? [LAUGHS] Anyone else? Yes.

AUDIENCE: One more question. You are more or less concentrating [INAUDIBLE] and my question is, is it possible also to point out drawbacks [INAUDIBLE] performance, so let's say you have [INAUDIBLE]

JOHN PARKER: So if I can restate the question, I'll try to. Rather than from an environmental perspective, we're looking at things from a product perspective, so can we do the quantification of different products that may cost more, have different lifes, but may have different benefits over their life?

STEPH LAROCQUE: Absolutely. Lifecycle cost analysis. So part of the module is lifecycle cost. So if you're product, let's say, has a higher cost, that would show up as a higher cost. But if it has a longer life, all this analysis is over a span of time. Of course, you choose the span of time, but say the life of the building.

So if product A needs to be replaced twice during a 25-year span and product B will last the whole 25 years, that would absolutely be picked up in the software.

JOHN PARKER: So as an example, different lighting choices-- if one's LED, long life, high upfront cost versus another one-- yes, that's the type of thing we would capture.

AUDIENCE: Is the input [INAUDIBLE]

STEPH LAROCQUE: It's really up to the user.

JOHN PARKER: Yeah, we basically open up all of the lifecycle cost parameters to people to put it in. So if you want to use a manufacturer's suggested life, you can put that in if you're testing two different products. Or you can put in a longer life if you know that that's the case. We don't have defaults for the lifecycle cost detail if you're looking at a product level. So there's no default for this type of light, as an example. You'd have to know what the life is or do some research to pull that in.

AUDIENCE: [INAUDIBLE]

JOHN PARKER: Yeah.

AUDIENCE: So when we're talking about winning [INAUDIBLE] we need to go into [INAUDIBLE] proposals with this type of information when we don't have-- I haven't been in this scenario, [INAUDIBLE] actually think about that type of information at that level. [INAUDIBLE] So it sounds like a lot of the projects that you're using are actually well underway, or [INAUDIBLE] they've already [INAUDIBLE] and then you're doing the analysis to either validate or maybe [INAUDIBLE] Do you have any examples where people have used this information to win a project [INAUDIBLE]?

JOHN PARKER: Well, I can just say that there are two very different scenarios. One is that-- we're being given the hook here, but just to finish the answer-- one is in ultimate design or P3 type thing where you're a chosen bidder, and then you take the design to a third level against another team. So you're basically doing the design and one of two teams competing for that. That's when you have the time to do this type of analysis in detail.

Just when you're doing a bid, and it's a crunch-- you're responding to a RFP or something like that, that's the type of case where you can say, we're going to use triple bottom line cost benefit analysis to show you the benefits-- the benefits that you're going to get, the benefits the community is going to get, and we're going to use this process to demonstrate the benefits throughout the process. So it really is kind of a bid strategy, just including TBL-CBA.

As Steph said, places like the city of Pittsburgh, city of Phoenix, Tucson--

STEPH LAROCQUE: SFO.

JOHN PARKER: --SFO are requiring this type of analysis. So being proactive and suggesting it is-- we find is a good strategy.

STEPH LAROCQUE: Typically, people use it during the pre-bid typically, but for the bid, it does happen occasionally as well. Anyways, we'll probably end it there. Happy to answer any other questions one on one. Thank you, guys.

JOHN PARKER: Thank you.

[APPLAUSE]

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We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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