AU Class
AU Class
class - AU

Hard Questions Only! A Multidiscipline Panel on BIM and Digital Transformation.

Share this class

Description

This expert panel representing technology leaders from across the architecture, engineering, construction, and owner-operated (AECO) industry will discuss the hard questions of digital transformation. It's easy to take for granted that everyone is “doing building information modeling (BIM),” but this panel wants to dig deeper and talk about the challenges that remain as our industry goes through a digital transformation. We’ll go beyond the easy wins and discuss what BIM adoption *really* looks like and how hard it is to drive change. How is the escalation in tools changing our production process, and what does it mean for how we manage our projects and firms? What does the shift to data-driven work mean for an industry based around design studios and professionally licensed staff? Importantly, this panel will represent diverse views to understand how the responses and need for change vary across disciplines.

Key Learnings

  • Learn about the challenges involved in driving organizational change.
  • Learn how to prioritize projects centered on driving data-driven change.
  • Learn about the connection between Revit modeling practices and AI/ML.
  • Learn about how your workforce is changing to meet new industry practices.

Speakers

  • Avatar for Kristopher Dane
    Kristopher Dane
    Dr. Kristopher Dane is the Director of Digital Design based out of the Seattle office of Thornton Tomasetti, an international structural engineering firm. In collaboration with the CIO, CTO, and business leaders, Kris oversees a group charged with improving structural workflows and making strategic investments in future technology. In his doctoral work at the George Washington University, Kris studied the influence of building geometry on active shooter events and is currently working to incorporate such simulations into the building design process.
  • Shane Burger
    I am an internationally recognized leader in the advanced use of technology in design and experience for the built environment. As a Principal at Woods Bagot, I direct the vision centered on technical innovation and lead a global DesignOps team dedicated to researching, developing and applying new models of design and delivery to projects. I have lectured widely on a range of topics including design computation, BIM, digital fabrication, building and spatial performance, analysis and simulation, VR/AR, Smart Buildings, AI, and digital culture and experience. Starting in the early 2000's, I was an early advocate and active developer of design computation methodologies in the AEC industry. During this time, my built work at Grimshaw Architects focused on the design of arts and cultural institutions, and used an array of computational processes to synthesize geometry, analysis, and material fabrication. I also served for 8 years as a director of the design computation and education non-profit Smartgeometry, firmly positioning it at the intersections of art, design, technology, and the modern human experience. At Smartgeometry, I promoted the emergence of a new paradigm for digital designers and craftsman where mathematics and algorithms are as natural as pen and paper.
  • Sean McDonald
    Currently working as a Regional BIM Manager at Thornton Tomasetti. Previous experience as a Design Technology Director at: Kohn Pedersen and Fox, Pei Cobb Freed and Associates, as well as Shen Milsom and Wilke. Additionally, as a BIM consultant and IT manager at CASE Inc, and a BIM Specialist at WeWork. Focused on developing processes and workflows to improve the quality of AEC deliverables.
  • Nora Swanson
    Nora Swanson, Director of Design Technology at AKF Group, is a Licensed Professional Engineer with more than 15 years’ experience as a Mechanical Engineer and Project Manager. A passionate innovator, she is responsible for the development and management of AKF’s Strategic Technology Plan and Chairs the BIM Committee where she shares her desire to actively vision and collaborate with others on what the future of the AEC industry will be. She has been honored as a “40 Under 40” in building, construction, and real estate and has been selected by Crain’s as an Outstanding Woman in Technology She has also presented at Urban Green’s Smart Building Summit, the Design-Build Excellence Spring Symposium, and Commercial Observer’s Women in Real Estate, Design & Construction Conference, among others. She has written and been cited in articles published in the New York Real Estate Journal and on Buildings.com. She also mentors engineering students at her alma mater Villanova.
  • Christopher Shafer
    Chris Shafer has over 15 years of experience as an architect with the last seven years primarily focused on the development of digital design processes and content for HDR. In addition to working with HDR, he also worked with Perkins+Will and CBT Architects. In Chris' current role as the Digital Delivery Leader, he leads HDR Architecture in the development, use, and management of its digital design infrastructure and content used in building information modeling. Chris is an experienced Senior Project Architect with a background that spans multiple disciplines and a strong understanding of how BIM processes can fuel a data-driven approach to project delivery. With this combined expertise, he has focused on developing and implementing digital technologies that improve workflows, consistency, productivity, and mitigating risk in digital project delivery.
  • Robert Yori
    Robert leads AECOM's Urban Advisory Practice Digital Solutions Studio and the Global Design Technologies Center of Excellence. Both groups enhance outcomes through practice-oriented digital transformation, design computation, data-focused workflows, and digital design and development. Robert's industry experience spans the architecture, engineering, sustainability, design for manufacturing, business development, innovation incubators, and software development sectors. He serves on AIA New York's Future of Architectural Practice Committee, is Program Manager for DBEI's Design Technology Summit (DTS), is co-author of the Mastering Revit book series, and contributed to the AIA's "Architect's Guide to Building Performance."
Video Player is loading.
Current Time 0:00
Duration 1:02:07
Loaded: 0.27%
Stream Type LIVE
Remaining Time 1:02:07
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

ROBERT YORI: Hi, everybody. Thanks for joining. Welcome. Just a couple of introduction slides, obviously, the class is Hard Questions Only, A Panel Discussion on BIM and Digital Transformation. That's not the advancer. That's the advancer. Here we go.

I am your moderator for today. My name is Robert Yori. I'm with AECOM. I'm the Digital Solutions Studio Lead in the New York office of AECOM. I'll introduce the panelists here in a moment.

I just want to give a brief overview of the session today talking about the reality of digital evolution, and digital transformation, and organization, generally, where we are in that process, how you think we're going, also, understanding how to drive transformational change in our organizations, whether that's incremental or revolutionary. And then talking about maybe probably-- you may have experienced this once or twice in your career about silos typically related to disciplines, understanding those points of tension and perhaps, friction. Some chuckles. Yeah, chuckles of familiarity.

So what we're going to do is, we're going to try to have a robust conversation starter here on the stage. And then at the end, we'll probably hold out the last 15 minutes or so for Q&A. So I'll have to keep an eye on my clock here. Hopefully, that sounds good. Excellent.

Also, last but not least, huge shout out to Sean McDonald, and actually, to Christine, because I had nothing to do with this presentation except for chatting with these guys, you know. And I've had the privilege of knowing at least some of you, and the privilege of meeting you as well. But these are kind of topics we talk about on a regular basis. So it was Chris and Sean who put this idea and realized this entire panel.

CHRIS SHAFER: Mostly Sean.

ROBERT YORI: Mostly Sean. All right. Well, mostly Sean.

CHRIS SHAFER: He took the bull by the horns and got the people together.

ROBERT YORI: Excellent. So shout out to Sean, our Executive Producer here. So he gets all of the credit. And I get all the blame for whatever goes wrong. So--

[APPLAUSE]

What's that?

CHRIS SHAFER: Do we get it with everything now?

ROBERT YORI: Everything? No, I'm sorry, that's a tall order, man I can't do that for everything, as much as I can. I'll just introduce our panelists here. The full panelist bios are in the handout. So I'm just going to go briefly and introduce down the line.

Shane Burger, Principal and Director of Technical Innovation at Woods Bagot. Chris Shafer, who's Digital Delivery Leader at HDR. Kristopher Dane, who is an Associate Principal and the Director of Digital Design at Thornton Tomasetti. Nora Swanson, who's the Director of Design Technologies at ACF. Anthony Hartke, who's the VDC Manager in the mid-north region for Turner Construction, and Laura Saravia, who's BIM Manager at the Port Authority in New York. So thanks all for joining.

There's not another slide, right? The next one is the closing slide. So I'll just leave that. So Chris and Sean thought it was a good idea to keep everybody's names up, because maybe you might want to ask us a question. So that's who we are. Sorry, that you have to look at us twice, but at least there's names on that one.

So really, just kind of getting down to the questions itself, this is kind of a long intro to a question, so apologies for that. But I think about digital transformation being a pretty complex evolution of work in an organization. So there was a Salesforce blog post that I came across a number of years ago that broke digital transformation down into three aspects, dimensions, phases. I'm not exactly sure what the right word is. But the first is digitization.

And digitization would be really just making digital versions of the analog things that you already had. So that might be scanning all your drawings into PDFs. And then there's digitalization, which is actually using the digital versions with technology to help do what you do a little bit better. So my analog to that is maybe you use Bluebeam for coordination, and you overlay PDFs as opposed to a physical lay table. You're still doing a lot of the same things, but you're doing it in digital space as opposed to physical space.

And then the third is digital transformation, which is really sort of fundamentally rethinking the exercise or practice, and technology being a key part of that. So the example there of course, would be using a tool like Navisworks or something for clash detection instead of doing sort of the analog overlay. And then if you want to crank it to 11, these go to 11 version of digital transformation, is investigating routing algorithms, so you don't have collisions in the first place, right?

And I don't think that there's one-size-fits all solution for everything. I think digital transformation is not a monolith. And the goal of everything is not to get to a fully fundamental all digital universe where everything's cranked to 11. I mean, I think it's a nice goal, but I think in reality, I think there's shades of each I think, in any digital transformation. And I think they vary by organization.

So based on that very long question, just want to get sort of a temperature check on your thoughts on digital transformation in your organizations, and kind of where you are, and if you see a prevalence of digitization, digitalization, digital transformation, what your goals are for that, if you have an idea about if there's a balance, or just generally, get your thoughts on where you are as organizations. I guess, we can start down the row. So maybe, Shane, if I could ask you first.

SHANE BURGER: Yeah, sure. So I appreciate that description from Salesforce. There's a very parallel description that I've been talking about within our practice, which is the three levels, which is effectively, a change in medium, a change in process, and a change in product. And I think the change in medium has always just been about we're going back 20, 30, 40 years now of the movement from standard drafting into digital-based drafting. So that was pretty simple, or arguably simple. At least we look back on it now, it seems like it was simple.

The process change is the one that we've been in for such a long time now, which is fundamentally changing how we interact with each other. And there's a lot of conversations about that in our practice. And we still have people in this mindset of thinking that just the translation even to Revit is, yep, check, digital box done, right?

But actually, the ways in which we interact with each other, we're-- company has 17 studios around the globe. How do we interact? How do we share projects and location location? How do we interact with the other people as part of the AECO on that set as well?

And we're still getting more education around the kind of change management side to get people moving into fundamental changes and processes. But what I've appreciated is how quickly people have moved to the third level, which is the change in product conversation, which ultimately is about-- I'll back up for a second. If the previous phases were about designer experiences and how they do their work, the client experience becomes a much bigger conversation.

So how do we work with our owners and operators? And what are we actually providing them, both in terms of our actual deliverables, but also our consulting engagement? And what I've appreciated is that when we got to that moment, I feel like a lot of leadership ears started to perk up, because maybe they're seeing new services opportunities. So it wasn't just about efficiency, and it wasn't just about new design opportunities, but became about new relationships with our clients, and consultants, and everyone else.

So I have found that we've had the greatest success in bringing people along in that journey if they see what that last level is, which is your relationship with your clients, and consultants, and owners, and operators, and ultimately, the public, is where we're going right now, even if we still have to get through the efficiency phases. But it's all over the place depending on the studio and the leadership that we engage with. But I'd say in the last year or two, there's been some really fruitful conversations about that last part.

CHRIS SHAFER: I'll make it a little counter to Shane's is, when we see these digital transformations, we find that a lot of people step back. And when we think of digital transformations, a lot of people see it as all right, we're going to be hitting home runs. There's some tool that's magically going to change everything.

Where we've taken a little different approach, and where we sit, we're going to focus on very small steps, focus on base hits, make sure everyone's comfortable, and really getting batting 1,000 on base hits, and doing the little things here and there with the goal, and everyone's aware of those goals, of getting to that level of efficiency and effectiveness that leads to the home runs. So it's taking a very baby step approach to this. What we find is a lot of times our clients, if we go and introduce these big concepts, and these big ideas, they kind of step back. And so how do we prepare them in ways that they feel comfortable with?

KRISTOPHER DANE: So I think within Thornton Tomasetti we also have multiple offices. We have 50 offices. So I think, depending on where you are in the organization, we're at different points in that spectrum evolution, whatever it is. I think what's happened over the last couple of years is that the floor-- I can never keep the term straight-- digitization, you're not doing analog. You're doing digital. I think we've raised the floor on that, right?

So everybody is working from home. We're all using digital formats for almost everything we do, which wasn't true two years ago. And at the opposite end, there are parts of the company that are experimenting with AI as a partner to the structural engineer, either for doing code reference look-ups, or for actually doing schematic design. But there's a huge part of the organization-- and that's the game changer part-- there's a huge part of the organization that for whom advancing along that spectrum looks more like let's do Revit better, right? Let's have schedules that are driven by the model, right?

Let's have model-driven drawing sets, because that's still what we're delivering. So I think I like to kind of bring our perspective internally is like, the AI is useful and interesting to explore, but we can get more quicker wins with those base hits, right? And there's still opportunities there.

ROBERT YORI: What about you, Nora?

NORA SWANSON: Similarly, at AKF, we're having experiences like Chris and Kris, and with multiple offices and varying levels of experience, and varying levels of acceptance to change, and to digitization, and all the levels, just making sure that we are applying the appropriate level to the appropriate project, right? We have some bigger projects where it makes sense to try to go for the home run, some of those longer burns, some of those larger fees.

But we have so many projects where we're reissuing 2D PDFs. No one cares what's in a BIM model. But we want to make sure in house that we are still trying to use all of those workflows and all of those tools, so ultimately, looking forward, we can use those data sets for AI, or for algorithms. Are we there yet? No. But are we trying to set ourselves up for success? We're trying.

ANTHONY HARTKE: I would say from the contractor's side, we're very much an entrenched industry. We are all about we're checking the boxes, we're following the checklist, we're following the specs. It's all get something done and move on to the next thing. Get something done, move to the next thing.

The transition from paper documents, so paper checklist, or paper whatever hand estimate, hand take-offs, moving from that to a digital tool is not a huge lift. We're finding more and more success of that, because it's allowing the teams in the field to do it quicker, more efficiently, versus filling the paper out, go stick it in a file cabinet.

But what's happening is the easy step is just taking that paper thing and making electronic. It's still a file going into a file folder. It's a dead end piece of information. It's a dumb document.

The next step that we got to look at is, how do we get that data harnessable? What we're seeing in the industry right now is we're seeing a lot of tools out there that are-- they're still working with that PDF, the digital document. You can extract some of the data out of it now because the technology is able to read it thanks to AI and whatnot. But the thought process has not been put into place to figure out what data can we collect, what data should we collect, and how is that data going to inform future decisions and future actions.

So to me, that's where our next step is as a contractor is, we're collecting and generating all this information. But are we collecting and capturing the right information? And how do we use that to drive future decisions?

So one example, we've got this Ladders Last Program across Turner. We don't want to have ladders on the job site because it causes injuries. People fall off ladders, all kinds of stuff. The form requires a tag and a form inspection checklist. We've got that electronic now.

But if you think about that concept of if we do have accidents, you can go back and look at the ladder inspections. What are the common denominators? What are the driving factors that are leading indicators to when these accidents start to happen? So we can start creating those metrics as key metrics to warn us ahead of time of hey, you're starting to see this same thing happening over and over.

That's a red flag. We need to stop the project. We need to figure out how to prevent it from going any further. So we're taking a proactive step versus taking a reactive step. And that to me, is that next step that we need to take in digitalization.

LAURA SARAVIA: So me as a BIM Manager at the Port Authority, working for a governmental agency, it's like a very long process for the digitalization, or the digital transformation. As you mentioned, there are like three steps, or three phases. I believe, we probably are in the second one. We didn't do like the full thing.

We are working on it. We're implementing BIM. But yeah, today is a big challenge, because there are different divisions. Each division have their own process. So coordinating all the divisions, integrating the process, the workflow, also working with different consultants, different companies that are outsourcing the project. So it's kind of yeah, it's kind of tricky, but yeah, we try to integrate everything from the agency.

ROBERT YORI: You brought up a really good point, which kind of leads to my next question. And this will be-- we won't go down the line for everything. Sorry. This is like a jump ball, right? So you mentioned something that I've observed, and I think we probably all observed in some form or fashion is, oftentimes, where a digital transformation effort struggles is between parties, between let's say, an architect and an engineer who might not be in a particular workflow, or between an owner and the consultants that are contributing, right, and the goals that you might have as an owner for the models that you need versus the goals that an architect, or an engineer, or another consultant might have for their models, and how they reconcile.

So just wondering, again, anybody chime in if you like, just kind of thinking, what sort of friction do you observe perhaps most prominently, or most often? And sort of, what are you-- what are you addressing first, I guess, because I'm sure that there's frictions and pain points all over. But like, have you found one to be of particular concern? And what steps are you taking to address that?

NORA SWANSON: I can jump in. Sure. So as MEP engineers, we are pretty much as far down in the contractual pecking order as you can get. And so we really have to be agile and adaptable to what's coming at us. Sometimes, we have the ability to drive change in our architecture owner partners. Other times, they're driving change in us.

For example, we made the decision to go 100% Revit about three years ago. And we still have numerous architectural clients that still only produce in CAD. So we had to develop workflows to do what we call CAD to Revit, in which we link in CAD backgrounds, and still produce our work using Revit and those BIM tools.

So I think figuring out how to maintain a level of consistency in what we do, while being able to receive information in all types of sorts, because even if we receive architectural models, some are really good like up here, others, I hate to say it, hopefully, there are-- actually, there, are no bad architects in this audience right now today. But other models are not that good, and we really have to have plans in place to be able to adjust to what we receive.

CHRIS SHAFER: Well, I was going to say that as the architect, we are just telling the engineers what to do here. So thanks for basically answering that from the start. But we're trying to be really conscious of the level of capabilities of the sub-consultants as much as we can.

But at the same time, we feel like we have a contractual obligation with our clients to kind of push the envelope as we go. So that means at times, pushing the engineers out of their comfort levels if need be, or also being receptive to ideas that they may bring on board. And I think really, in the last two and 1/2 years with basically the marginal adoption of BIM 360 to all in, that has really forced us to really open up the possibilities and the experimentation that's come along with it, and really shown us the power when we truly do collaborate, take advantage of a lot of the tools available, we are kind of getting back to those promises that we're I guess, we're hoping to achieve.

SHANE BURGER: I think two things that come to mind where we run into some frictions, I mean, and honestly, like the most ideal scenario, and you'll know this from my background, Bob, is that we're in New Orleans, like, the ideal scenario for me is like a reference to jazz bands where you've got like a central mission with the overall melody is going to be, the chord changes. And everybody can listen to each other, and work together, and create something amazing where the tension actually results in something better, right? You make everybody push themselves, even better. Unfortunately, we don't get that in a lot of architectural projects.

ROBERT YORI: That'd be a mess.

SHANE BURGER: I mean, it'd be awesome. It'd be great. But the two things that come to mind for me, one, is the kind of change in frequency and pace when it comes to how often architects are changing their designs and the frequency at which that goes to MEP and structural. Years ago, it used to just be the MEP and structural would just kind of be sitting back twiddling their thumbs waiting, when are you going to finish changing the design, right? That's still--

NORA SWANSON: Then rush at the end.

ROBERT YORI: Right, right, and there's a huge rush. But we're wanting to get more feedback from you. It kind of depends on the positivity of the relationship. If you're in alignment as to what the vision, then that works well. But sometimes, it breaks down in the detail level. And I'm not just thinking about a good model element matrix that says what LOD and whose ownership of each particular part is, but it could be the difference between as an architect, we're often dealing with the geometric representation of information. Whereas, an engineer, you're often dealing with an analytic representation of it. And we have a disconnect between those.

And in different parts of the regions we're for example, having to model a lot more-- I'm not just poking just at you Thornton Tomasetti-- but the structural model then I feel we should be modeling, because we're very interested in particular details about slab edges, column locations, openings, all sorts of things that are going to manifest in how we put together our facade packages, or all that information. Whereas, we're not getting that same level of modeling from our structural engineers maybe in an earlier stage that we would like to have.

But this might just have to do with a lack of shared mission, or shared agreement with how we're supposed to be working with each other. We think that model element matrix is answering all that. No, it's not. So I think that's something that I think definitely could be better, which is understanding that there are elements within your models which have shared ownership and shared but different representations, and different priorities. And we still haven't sorted that out.

KRISTOPHER DANE: That's right. And I think we also have-- I was thinking that you're sort of on the tail end of the design, right? I'm waiting for the architect so I can do my work. So structures I think, used to be there, but increasingly, we're in the early package. So it's like, hey, we need the structural package to go out before we've even designed the building.

What? How do we do that? And what that means is so we can come up with something. We can have a conversation. We can have an educated guess.

But then what we need to have an open communication about is, there's risk in this design, right? And we're carrying contingency, and we're carrying assumptions. And those aren't things that are sitting in the model for us to find in BIM 360. Those are things that we need to talk about outside the bottle as the design practitioners.

And that's often where we see the friction is. Sure, there's how do we collaborate? Now, everybody is in BIM 360. So it's who's modeling the slab edge. Maybe we both are, and we need to sort that out, all of that.

But then it's how do you track those assumptions, and sort of track the evolution, and sort of completeness of the design as you go ahead when it's not something that you can just see in the model, right? The well, it's in the model isn't an appropriate answer to that question. So you have to have this like line of communication in parallel.

ANTHONY HARTKE: And I will say, it's like a family bickering. But on the other side, we're getting all the same problems on us of how developed is the design. And we need to go put packages on the street. We got to go bid the work. We got to go install the work.

And then at the other end of the table, we've got the owner putting pressure saying, well, we bought BIM. It's the drawings. It's in the model. It's like--

SHANE BURGER: Isn't it all fixed?

ANTHONY HARTKE: But it's not right per se. It gets the design intent across, but we got to take it over that finish line to get it to constructable. And what we're finding is we're getting more and more pressure to build faster, especially in today's market where everything is just crazy pricing and whatnot.

And so one of the strategies we're really pushing for is to get that early collaboration, early working together, identifying. And you mentioned BIM 360. I don't want to shill for our hosts here, but just the ability to get eyes on the designs that's happening. We're not looking to push and change anything, but we want to raise the flag of hey, this is a constructability thing, this is a piece that we're going to need more information on, that early structural package, which is done before the architecture. Somehow.

And so we're trying to help inform of looking at your details, looking at your information, we need you to spend a little bit more effort on the underground MEPs, because it's going to affect how we install the underground. So it's that communication and collaboration, be it 3D, be it 2D, there needs to be that open conversation and breaking down that wall of, we're not done with our design yet, so you just wait. It's like, but if you give me an 80% done design, if that 80% doesn't include what I need, then it was a waste of time essentially.

NORA SWANSON: Just to jump back in on the MEP a little bit there in regards to issuing things before they're ready, or trying to get designs on drawings just because you're supposed to according to the deadline, we have really focused a lot on what is ready to go out based upon the decisions that are made in that particular project. Is the architectural programming set? Is the structural set? And how can we as MEP designers still produce a valuable product that pushes everything forward without setting ourselves up for throw away sets, or for rework?

And we're really trying to utilize things within Revit a little bit differently to do that. Obviously, we need to get major pieces of equipment, and major duct runs, and pipe runs, and conduit runs-- that always trips me up-- in there, so that it can be coordinated. But do we need everything at the distribution level? Probably not. But can we express what's needed at the distribution level in a different way?

Can we do typical room designs? Can we use Revit spaces in HVC zones to kind of plan out and show an owner how things are going to piece together? Yes, we can. And so that's kind of the strategy that we've taken.

ROBERT YORI: Laura, I know you're dying to weigh in on this.

LAURA SARAVIA: Yeah, I just wanted to mention that in the agency we also face that problem between the design to construction. So usually, that is a very big step, and there is a lot of challenges between those two things. So today, we change the workflow on projects, and we have the design build.

So the conceptual design is done in-house, and then it goes outside. And the responsible for the design, and the drawings, and the construction drawings is the same as the construction itself. So they are ownership of both things. So that is one of the solutions we try to implement now in the Port Authority project.

SHANE BURGER: Just one thing I want to note that we've had some interesting successes recently with earlier engagement with MEP and structural, specifically MEP, and it's been centered around conversations on carbon. So it's like, with all the conversations around both embodied carbon and operational carbon, it's actually helped us as architects realize what the value is from getting those early conversations about how we are actually going to bring energy through the building, how are we going to condition the building, where are the structural approaches that are going to be the lowest carbon approaches for us to have it.

So I feel like if there's one potential bright spot out there for us to all be looking at is to say, let's take advantage of the conversations around climate change and carbon to be one of those rallying forces that says, no, actually, let's talk with each other a little bit more about what we could do versus, the architect is going to go to traditional route. Everybody's going to do traditional thing. And then halfway through, we're like, oh shit, we should probably try to reduce energy and reduce embodied carbon on this. And it's just all surface treatments, and nothing significant.

So I have appreciated that when we've had some really good partnerships like that. Bringing everyone in earlier maybe sets a better tone for everything that comes afterwards.

NORA SWANSON: Agreed.

ROBERT YORI: So just before we went live, we were chatting about something, as we're talking about this, I'm thinking about modeling in two different ways. And I'm thinking about modeling as part of process. And I'm also thinking about modeling for outcomes. And process and outcomes can be different.

So let's say to an architect, the outcome would be the thing that you would deliver to a contractor. However, an outcome for you would be as an owner, would be something different, right? Or to an engineer, the outcome of an architectural design process might be something different for all of us.

But I think largely, again-- this was spurred by an earlier conversation today-- largely, what we see in the industry now is modeling for outcomes. And process is kind of mentioned as part of that outcome, which is not a bad thing. But in the chat we had before the mics went live, we were talking about the different types of models.

So Shane, you mentioned sort of the analytical models versus the physical representation models and how they can differ, and how oftentimes, for good reason, how they differ, and sort of how to reconcile that. And apologies, I'm not really sure I have a fully formed question here. But maybe I'll get there, I hope. How much time do we have? No, but just your thoughts on kind of the current state, and where you see the opportunities for how those two types of modeling, or modes of modeling might coexist for your point, what information you're getting in, and what you're outputting along this design and delivery chain.

CHRIS SHAFER: One of the things that we're really starting to talk about is, there's always about data, data, data. But trying to get our users to understand that every action in what we do there's data points that are associated with it, and that that data will be used for that final deliverable. But largely, it will be used on future projects.

Nora had mentioned that there's a lot of unknowns in the process of the architecture is in a certain phase. But if we can use that past data to kind of predict where to fill in a lot of those gaps, because we do 400 or 500 projects a year, there's a lot of data and understanding well, what did we know at these certain junctures? And how can we use that past data to fill in that?

And so we have these analytical models based off of deliverable models. And then it creates this cycle. And so we're trying to build that foundation of a thought process, and the way you approach design, where design isn't about a pen on paper, or an object in a model. It's about the data that's associated with it just as much as anything else.

ROBERT YORI: I think it could work the other way too. So you mentioned the analytical model as a result of the design model. But in some ways, it could work exactly the opposite, right? So Shane, I know I've seen a lot of great presentations from you where so much analysis goes into your early stage work. So the design model is actually an outcome of the analytical models, right? So I think that might be able to work both ways as well.

SHANE BURGER: Yeah, I think I've been talking about this a lot within the practice recently. And I don't have a whole lot of things specifically to share on this. But we've been engaging in broader conversations about topic of like, of augmented design, and what does augmented design actually mean, and how we bring analysis to actually affect the design process.

So I've heard it said a few times, but if you look at the idea of product design, a good product changes behavior. So if we've actually been able to change the behavior of our staff to take in more information about the data that they learn from their model, simulations that are associated with it, and it actually affects design, right? It's not just it's been post-rationalized, or just to win a client to show the pretty false color analysis of solar work on it, but it actually has changed the behaviors of our designers, that's where the biggest impact ultimately gets for us.

So we've been having a lot of conversations about both build and performance analysis, and spatial or social performance, how do people interact with each other. I've kind of felt that architects have very much, unfortunately, ceded their knowledge and territory and understanding how people actually behave with each other, and how they work with each other, we've lost the scientific aspects of that. And we have a lot more opportunities to do that.

So the way I'm thinking about is, that you have lots of representations, or lots of models that you can have. We've unfortunately, as a practice been focusing on a representation and drawing form in a representation in a rendering. We haven't necessarily understood those representations in terms of performance and analysis. And it's something that we're having to re-educate our entire workforce to get into.

So we're at the beginning stages, I would say. We've had some successes in some areas. Come back and talk to me in six months. But this is our big push in our practice right now is trying to re-educate our practice around these multiple ways of representing and understanding your design that are not just traditionally what Revit, and Rhino, others have been providing you.

KRISTOPHER DANE: Right. And just picking up on that point, you know, the-- I always think it's important that we don't kind of overstate the value of the improved collaboration tools that have been adopted certainly, over the last few years, but really developed over the last 10. It's like, we've got good collaboration now around the geometric model, right, the drawing representation, the representation that would end up in the renderings. But there are many disciplines that overlay on that right, where the analysis model is fundamentally different from that geometric representation. And as structural engineers, we need both, right?

We need the structural analysis representation. Inside TT, we do other kinds of work. So you might have a more of massing model that's used for CFD analysis, or for blast studies. There's yet another representation that I use in some of my work around crowd modeling, where it's informed by the geometry, but it's different in substantive ways. And it's just not the same thing.

But they need to coexist, right? We need to understand the relationships and the level of effort involved, and the trickle down effect of changes. And all of that starts at that early engagement you were talking about where on the design team, we need to be able to say, OK, when we talk about a design freeze, here's why it matters, right? Here's how it's going to facilitate the work that comes after that. Here's how it lets us do that validation.

SHANE BURGER: Just a quick thing, I think we've gotten away with as architects for too long with not having to think about as many representations as we possibly should. So the comment about lack of understanding of spatial experience and social experience, we don't do any of that stuff. But we're seeing the others doing it, and we need to know a lot more about that kind of thing, and start bringing our other methods of representation in. We've had it easy, I guess.

NORA SWANSON: Something we're currently working through now is how best to complete our HVC load Calix, one of the biggest things that we do as MEP engineers. I don't know how many mechanicals are out there, but train trace is sunsetting, one of their main platforms that we have all used for years and years and years, and everything is now going to volumetric analytics. And so we have tested out many programs.

We actually started with the newer Revit load analysis product. And at first, went hmm, not for us, then subsequently, went and saw a couple of others, and have since circled back to that. But what we've found similar to I think what your experience is, is that we can really only be informed by what the architect gives us.

We are having to basically recreate architectural models in order to perform the load analysis in Revit, frankly, because the tool really kind of only starts to shine in Revit 2023. And a lot of the architects that we work with are not using that version year yet, on top of the fact that a lot of the architectural models are potentially more complicated than we need them to be for load analysis. And so we are having to kind of do double work in order for that analytical model to happen.

ROBERT YORI: Laura, I'm afraid I'm going to put you on the spot. Sorry. Because one of the reasons that this question came to my mind is you mentioned that you do a lot of the early phase work, and then you distribute that to folks that you work with in order to execute that design, right? So in some ways, it sounds like-- and correct me where I'm misinterpreting here-- it sounds like you're doing modeling as process inside the Port Authority. And then you're sending the result of that process out to be more fully documented into a constructable solution.

During that process, let's say when you're engaging with your consultants to do that sort of work, how engaged are you with that? Like, are you as the designer of that, are you engaging with them to make sure that your original design intentions are continuing to be followed? And do you become part of that process, which then they return back to you as an output? Or is it a little bit more autonomous? Do you handle the relationship with your consultants a little more autonomously?

LAURA SARAVIA: Yeah, that type of workflow, it happen in some type of projects, usually, are the smallest one. And yeah, everything is developed conceptually in-house. And everything that like we finished that stage with documentation, and that is handled to the consultant, or the company that is going to work on it. And yeah, we have the leader of the project is going to follow up on all the changes that are done on the other side. But yeah, it's open to more development and changes for answer in the right proposal, you know?

ROBERT YORI: Cool. So I think the timing is good. Yeah, actually, this is good. I'd like to open up the floor for questions or thoughts. Certainly, these aren't all about the questions that we had prepared.

KRISTOPHER DANE: Can I ask a question?

ROBERT YORI: No, of course, you can.

KRISTOPHER DANE: Laura, this question is for you. So we were talking about different representations of the building different types of models. I feel like every conversation around whether it's BIM, maybe now we stop saying BIM. We start saying digital twin all the time, whatever the buzz word of the day is.

It's always like, look, if we do this right, it's going to help with facilities management and operation. Is that a real thing? Like, is it actually helping or not? We're structural engineers. So we don't see it, and you don't care where the columns are. But I've always wondered, like, does it matter? Is it helping?

LAURA SARAVIA: I believe it's a process. And it's good to believe on that, is having faith that is going to work at some point. We're trying to do it, but it's in a way, you know?

ROBERT YORI: It will help.

LAURA SARAVIA: It will happen. Yeah, because it's not easy to get a model that really can work well in facility management. So yeah.

ANTHONY HARTKE: Can I piggy-back onto that?

ROBERT YORI: Go, please.

ANTHONY HARTKE: So what we find is being in the center of that, we got the generation of model here. We've got the end state model here. And we've got a parallel stream of fabrication, installation, coordination work in place tracking all the more parts and pieces type of model. And so understanding where in the life cycle of this project, that asset data, the information data, what, the end use is.

Again, going back to the beginning, you got to look at the end goal to start the project off right. So identifying what information do they need, who along this timeline of project, when does that data become live, available. If it's an air handler in a room, we know what room it's going to be in. It's easy to identify in design model. We don't know what the zero number is until it shows up on site.

So identifying what information, when it becomes available, and where does that data go? Does it need to be in a model? I don't think it does. Natively, it can. But which is the proper model? Is it our model, which has all the clearances, and hangers, and everything else that's just going to bog it down, and it's going to be painful for them to use? Is it more of a stripped down version? Is that the design models? Or is it just the data turned over, and it's linked in a system?

So understanding that end use I think is what makes this process work. And we're seeing some success on projects. It's just if the conversation isn't had at the beginning, then you're all starting off down your path. And by the time it gets to us, it's like, well, now we're too far down, and all right, buckle up. We got to get this done.

SHANE BURGER: I 100% agree. I think the best conversations we've had on that has been really strong engagement with our contractors and with the clients. We have an airport terminal we have off and on been working on, where it's a temporary location. It's only going to exist for 20 years. So the conversation to come back to what I said about carbon again has been about carbon circularity, and the idea of buildings as material banks.

So the concept of discussing with our contractors what do we model, how do we tag the information so the client can start looking at potential reuse capabilities of all that information, so the model is being a repository for very particular use around that. So I think there's amazing opportunities for all of us to be talking with our contractors and clients about what are your actual goals. For some of our retail clients, they're tracking particular like materials, or mechanical units, or systems that they want to know, because they may have 500 locations around the globe. And they want to know, all right, this is a repeated unit that continues to fail, or this material breaks down, or this bracket breaks down, so they're going to want to treat it like a repeatable product. But in other cases, you may have very different aspirations, but that's a great conversation.

ROBERT YORI: OK. Let's get to the questions. Sir, right here. Sorry, I saw someone in the front, but we'll get you there, I promise.

AUDIENCE: So we're an architectural firm. And I think we do a pretty decent job of having everything combined, working with our consultants and everything. So my question is a real detailed one. We do pretty well when it's MEP, and structural, and architectural models are linked together, it's all great until the point where they actually start interacting, so where the MEP duct work has to meet up with a specific grill that we have in our model, or those types of things. Have any of you dealt with that? Because that's I think, that last finish line that we struggle with using a term from Revit copy monitor tools, that kind of finalization.

ROBERT YORI: Right.

AUDIENCE: Anything that you have on that.

ROBERT YORI: So I'm just going to repeat the question. And then I think I'm probably going to run around with the mic, so that we get it on the recording. But just to summarize your question, like, the coordination of the models all works great until you get to what I might term the last mile, like, where the grill meets the actual duct, And that level of coordination. And everyone's thoughts on sort of that level of detailed finish. Is that fair? OK.

ANTHONY HARTKE: My answer is, you tell me which one takes precedence. We're going to remodel it anyway, so we don't care.

AUDIENCE: [LAUGHING]

CHRIS SHAFER: I was actually going to say the same thing. It was like, we don't care. The contractor will figure it out. But no, it's--

AUDIENCE: [LAUGHING]

CHRIS SHAFER: Got to do it right, I mean. Well, I think the data comes back to just communication, and understanding, and having these proper dialogues, and these regular check-ins and saying, who is responsible for what, who's going to own those lab edges, or who's going to own that grill location. And then just making sure those communication channels are in place, and so everyone knows their responsibility throughout that process.

SHANE BURGER: I think it's the not just depending on the technology to solve it, but have you built the proper social connections and relationships with the team that it will then immediately lead to the right conversation that will have it. Too often, we'll run into those mistakes when it's just like you're tossing files over there, and they're going to deal with it, and you've got a clash detection list, or a list of tasks that get done, but there's actually no real relationship with the people.

ANTHONY HARTKE: I will say, the true answer I'll give you is, the team needs to have an atmosphere of being willing to ask the questions. Our trade partners, the mechanical trade partner needs to be looking at the architectural drawings. Our team, Turner DC, should be looking at the drawings holistically.

We should be looking for these kind of deviations, these discrepancies, and being willing to ask the question not in a hey, hey, I found you did something wrong. It's more of a hey, I'm seeing a discrepancy. Which one takes precedence? And if we can identify that early where you all know in the models on the design side when you're going to have these duplications, letting us know ahead of time of here's the presence, here's which models control which elements, so we can then take that conversation to our trade partners to make sure that we have one, two, three checks in the process so we don't end up in the field with ducts that don't line to ceilings.

AUDIENCE: Testing, oh wow. Hello.

ROBERT YORI: I know.

AUDIENCE: It's big, right? The first isn't so much a question as a request. I think this is a phenomenal like set of panelists. I would absolutely appreciate, love like tomorrow I don't know-- between six and eight, you guys are the same group, be where you are. And I have enough questions to like seriously like build an hour or two hours. I feel like between the group everybody here, there's a lot of opportunity.

So I know that we only have five, 10 minutes left. I'm not sure. But quite literally, I think there's an opportunity here. And so consider it. Having said that, I'd be curious, in a world where seriously there's nothing but cool tech, cool opportunities, like all of us I feel like, especially if you're here, you've already vetted so many cool things that might have value, might not have value-- I'm not sure. I'm looking to you folks. What are your metrics to suggest you know what, beyond the project that can handle say, an innovative idea, beyond that one, beyond the investment like, how do you move? When do you say, you know what, this is a good idea? This is worthwhile.

And it could be any one of the things that you guys been asking about tonight. But what is your metric? Chris, go ahead. I'm just kidding, buddy. You look great tonight.

SHANE BURGER: Which Chris?

AUDIENCE: Oh, Shafer. This guy's a crazy cat. Go ahead.

KRISTOPHER DANE: I can go. I think our primary metric is that this is a capitalist economy. So our primary metric is profit. We need to stay profitable. But we also want to have amazing design outcomes, right? So we want to change the world. We want to improve the world, and we need to do that profitably, so we can continue to do that tomorrow.

What that means is that as we explore solutions to the technological problems, we want to operate in places where we're solving problems that are repeatable, things about our design process that happen on multiple projects, and where we have agency right. So you know, we're structural engineers, we don't control the whole supply chain. But there are bits and pieces of our workflow that we can improve, and we can make sure that's applied again, and, again, and again, right? And that might be some of that's internal to our process and becoming more efficient. Some of that is parsing our models, understanding our quantities so that we can have good conversations with our design partners about embodied carbon, about structural quantities, and have those conversations early on to drive improvements.

SHANE BURGER: I'm going to disagree. And I'm going to say this as-- at least at the very beginning what you're saying. I see this as a principle, part owner of a company, that profit is not the most important thing. For me, it's actually the talent and the staff that we have.

So for example, the thing that stands out for me-- when we were looking at all of our automation tools and the systems that we build, you can think about a few people that would benefit. You start off with the client. Is it going to benefit the client? Well, maybe in the end, sure. But we still would like to make more profit, so what we'd like to do is provide the client with a better product.

Is it going to benefit my company? Sure. We can get a benefit to the company for that type of thing. But then we're just continuing to work our staffs into the evening hours, and make the work a lot harder, and they're not getting any benefit.

If we though focus on the staff, giving a better quality experience, helping them to push a behavioral change to create a better quality product, having more empathy for the hours that they work, and the type of things that we do, what we actually create is a much more sustainable building practice able to be much more agile, and weather any serious storms that come afterwards. So my primary focus is on behavioral positive change for our individual staff members, because what will happen is we as a company will benefit from what comes after that, and our clients will benefit from a better product.

AUDIENCE: [APPLAUSE]

KRISTOPHER DANE: Can I join with you? So we actually have this trifecta that is, profit, people, planet, right? So the next step is going to improve the planet, not just your own employees, but improving end design outcomes.

ROBERT YORI: I can tell you-- I think we can all agree that by the way, now that I'm back here, you guys look great in that light. I have to tell you.

NORA SWANSON: We can't see anything.

AUDIENCE: So hi, I have a question, because I used to be an architect, went to engineering, went to construction. And then I'm in the subcontractor for concrete. So I sat in every single one just trying to figure it out, where is the problem? And 10 years later, I mean, I'm still looking for that answer.

SHANE BURGER: It's not us.

AUDIENCE: Legal, the lawyers. So we are talking about the model, how the model can enhance the design phase, the conceptual phase, and go and transition to the operational phase. However, why the contract is still-- even submittals are in 2D, and the contract doesn't adhere to what we are facing right now, which is the new technology. Every time for example, when I submit something, it has a big stamp there that says, still, your construction documents are going to govern.

But I feel like construction drawings right now what I'm facing is just an intent of design. And it has to be resolved and put the pieces together in the subcontractor side even. So how are we fixing that issue through the-- I don't know-- through the digitalization and all that. It's just not clear. I don't know, do I got to become a carpenter? What do I need in order to find the answer?

NORA SWANSON: I think about this and struggle with this a lot, because to me, honestly, the answer comes down to contracts, and lawyers, and legality of our process, and our industry, and the ability to go and make it not our problem. I don't know how we get around it. So it's not a helpful answer, but I observe it as well.

ANTHONY HARTKE: One of the struggles beyond those evil lawyers and contracts is the human entity, human brain. How do you document a 3D model? How do you sign off a 3D model? You're going to sign off in 2D.

If we're not going to develop design models to be at a fabrication level where you have all those 2D details baked into the 3D elements, which is a heck of a lot higher bar when it comes to modeling, how do you transfer that in 2D without 2D? Sheets in Revit, great. But how does somebody read a Revit file without having the Revit software?

So you start down this path of contract documents are a document because it's in front of your face and readable, and trying to visualize all of a 3D thing in a very concise way is hard, because we see the world in 3D, but we perceive it in 2D. So to me, I don't think we're ever going to get away from 2D documentation. I think how we use 2D documentation and how we augment it with 3D information is going to change the game. And I think we're getting there as we start understanding and trusting, and we have these conversations about what's in the model, what can we trust, and what takes precedence.

LAURA SARAVIA: And the other thing is that the documents, the 2D documents need to come from the 3D. So the 2D represents the 3D model. And in that 2D document, you can have dimensions, right? So you can actually measure. And so that is very useful when you need to build something. So I guess it's something that is needed.

AUDIENCE: Hi, there, Michael Beal, Autodesk. Question for you guys, do you think PDFs and IFC files, open formats are holding us back?

CHRIS SHAFER: We actually started to utilize 84 by 60 sheets, because we are still required to deliver 2D documents, but we realized that the traditional part plan was because it has to be delivered as a PDF, it's holding us back, right? And so we're trying to find this in-between zone to kind of solve some of those problems, but I thought I would just share that it's something that's kind out of the-- because no one's actually printing those anymore. So it is a kind of convenient way of still working in PDFs, because we were being asked to, but not kind of following the rules.

SHANE BURGER: I'm going to push back on the question a little bit, because for me, while there are issues with IFC specifically in terms of its implementation, I think the idea of a non-proprietary format has to be the way that we go in the future. I think if anything, we've been more limited by the inconsistent support and use of platforms, or approaches like IFC in terms of collaboration, and ultimately, delivery.

We can't be an industry that has to depend on single file formats proprietary systems in order to deliver our work. I would say, both creatively in terms of, and efficiently in terms of how we deliver our work, we're actually held back more by some of those types of systems than we are by non-proprietary. IFC may not necessarily be the specific solution as its issues, but its mission, its ultimate idea has to be the way that we go.

NORA SWANSON: I also don't see HJ reviews going, you know, abandoning a PDF review any time soon. So I think if for nothing else, we as a advancing industry, and through construction and design, could we get away without PDFs? Probably. But there's ultimately still some code official that's going to need to review a PDF and stamp it.

ANTHONY HARTKE: And I would say if you think back of human history civilization, our history is encoded in 2D documentation, be it tablets, clay tablets, be it papyrus writings. How do you save a 3D model that is compiled of multiple 3D models in a governmental record? So yeah, I think of archival purposes for society. So again, I don't think you could through that aspect. And I had another point I was going to make, and I totally forgot it.

SHANE BURGER: The 2D documents gives us an opportunity to describe what's important. That's always key. Other representations allows us to tell a story, to explain this is what's actually important about this. It's not just has been modeled a specific way, but these are the important things. And also allows levels of abstraction that can be carried through an entire design.

A detail with potential variations without having to model every single potential condition explains to a contractor or a fabricator, this is the important part of it. But you know what? You know how to build this better than I do, so I'm going to let you figure out the specifics based upon the product, and how it gets assembled. But you know from the way I described it in 2D that this is what I consider is important.

It's a language. It's a conversation that we ultimately have. I don't know that there's another method right now. PDF ends up being a very common format of it.

ANTHONY HARTKE: Means and methods, thank you. And IFCs, it's not the IFC format that's a problem. It's the implementation of it. We find certain software just when you convert to IFC, the conversion to the IFC fails and errors.

We get the same problem with other proprietary formats. SolidWorks just wreaks havoc in our coordination processes. So it's not a file format holding us back. It's the implementation of the file format.

ROBERT YORI: One more question. I would love to keep it going.

AUDIENCE: Hello. I work as a BIM manager in a real estate firm. My question is, talking about facility management, we go into the design, the construction, and the operation stages with our BIM models. So when we reach the LOD 500 model, we find like a lot of details. So my question is, do we need this much details within a 500 model, or it's the information part that we need most? Because if you find these details, maybe this details is good in the construction phase, but is it worth it to have these kind of large details within the model?

Of course, the model got very large in space and in size. So if you go to the LOD 500 model, that usually see on the standards all over the world, you'll find all the standards talking about you need to have many details within this model, you need to have many information within this model. But actually, as we go through this process, we find that the level of information is the thing that we use the most. The level of details is not that much used.

So my second question is, can we just have a way around to when we go to the LOD 500 model to switch back to the like an LOD 200 model for the details part, and keep the information of an LOD 500 model to use in the next phase in the facility management?

SHANE BURGER: I always kind of understood-- the two at the end are going to answer this better-- but from an architect's perspective, when we see clients are asking for information for facilities management, years ago, it used to be, oh, that's a more detailed version. No, typically, what we find is we're actually going back to an LOD 200 or 300 representation, because that information is not important. However, it has additional information about particular products, or other stuff that's assigned to it.

LAURA SARAVIA: So there is the LOD and the LOI. The LOI is the detail of information. So that is the one that needs to be increased for an operational model. The geometrical detail is not needed in a facility management model, yeah.

ANTHONY HARTKE: And the contractor, we're building a model that has everything we need to physically fit the things in the space. It's all about the geometry, and a little bit of the information is really what the contractor needs. The trade partners, they'll put the information that they need for their fabrication installation purposes. They're elevating their information. We're worried about the 3D geometry.

But when you're collecting the asset data in a spreadsheet, a database form, we're collecting the data, the information separate from the model. It's going to have that unique identifier whatever the tag is for that pump, that air handler, whatever, it's going to be keyed to that piece of equipment. And we turn that over separate from our model. That way, on the facility side, if they need a 3D space to navigate, typically, a lot of these systems are just using 2D floorplans to navigate their facility data.

So it could go back to the LOD 200. It really depends on what the client's system needs to be. Do they need just floorplans with blocks on it that they click on that gives the information? It's just a user interface. So I can't say, do you need 300, 400, or 200 until I can talk to that client and find out what their system requires, and how they're going to use it. They're the end user. They're the ones that get what they want.

ROBERT YORI: I think we're going to have to end it there, because we're at time. I want to thank you all for attending. Hopefully, you found this useful. I want to thank Shane, Chris, Kris, Nora, Anthony, and Laura. Thank you so much. Really appreciate it. I think I have one closing slide, and that's about it. Thank you very much.

[APPLAUSE]

______
icon-svg-close-thick

Cookie preferences

Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

May we collect and use your data?

Learn more about the Third Party Services we use and our Privacy Statement.

Strictly necessary – required for our site to work and to provide services to you

These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

Improve your experience – allows us to show you what is relevant to you

These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

Customize your advertising – permits us to offer targeted advertising to you

These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

icon-svg-close-thick

THIRD PARTY SERVICES

Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

icon-svg-hide-thick

icon-svg-show-thick

Strictly necessary – required for our site to work and to provide services to you

Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
Digital River
We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
Dynatrace
We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize 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. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal 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 OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely 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. Optimizely Privacy Policy
Amplitude
We use Amplitude 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. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. 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.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Customize your advertising – permits us to offer targeted advertising to you

Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This 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. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
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

Are you sure you want a less customized experience?

We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

Your experience. Your choice.

We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

May we collect and use your data to tailor your experience?

Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.