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Streamline Process of Decarbonization with Revit, BIM 360, LCA/EC3, and Microsoft Power Bi

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Description

This session is about climate action through design technology and transforming the built environment for a carbon-neutral future. We’ve made incredible progress, and are now doubling down on the work that still lies ahead. Deploying our technological tools is a great step; incorporating smarter workflows and processes can take us the rest of the way. We can use the power of building information modeling (BIM) in Revit software with LCA (lifecycle analysis) applications to perform interactive lifecycle analyses at key project milestones with full integration within the delivery process. Join us to learn the process to define carbon footprint, understand the data, explore sustainable solutions, and execute at the construction phase. Learn from our challenge to define, optimize, and streamline the process so every person can be educated and take every project to carbon neutral. Most importantly, this session will enable you to benchmark the carbon footprint of some of the most ubiquitous materials on your projects at a large scale, and identify and implement reduction targets.

Key Learnings

  • Learn how to implement strategies to perform a lifecycle analysis of every project and scale it up to a global-sized firm.
  • Learn how to create and integrate templates to streamline the process, workflows, and best practices of a lifecycle analysis in every project.
  • Learn how to extract, validate, and understand data analytics dashboards using Power BI to implement sustainable solutions from real-time data.
  • Learn about collaborating using cloud services, Revit, LCA applications, BIM 360, EC3, and specifications from start to completion of project.

Speaker

  • Avatar for Thesla Collier
    Thesla Collier
    Design Technology Manager at HNTB. Bachelor’s in architecture from the University of Honduras and has worked in the AEC Industry for over 25 years. Actively works with users to elevate their knowledge baseline to improve their skills on multiple software platforms. Seeking new avenues of technology to improve Design workflows possible to conceive, visualize, and adapt to a project’s specific needs.
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      Transcript

      THESLA COLLIER: Streamlined process of decarbonization. Today we're going to have a presentation in which we're going to implement a strategy to perform a life cycle analysis that can be used in every project and can be scaled up to a global sized firm.

      We are going to create and integrate a streamlined process, and workflows, and best practices for every project. And we're also going to extract, validate, and understand the data analytics of the dashboards using Power BI. We will be collaborating with Revit, life cycle analysis applications. And we're going to have a completion of a project.

      Hi. I'm Thesla Collier, studio design technology leader at Gensler Los Angeles office. Bachelor in architecture. Graduated from the University of Honduras. And I have over 20 years of experience in the AEC industry.

      I started my career in Honduras, Central America. And I moved to LA in the year 2000. Since then I've been exposed to a wide range of practice areas such as health care, aviation, civil, transit, and mixed use projects from both sides of the equation from the design and the construction side. I have a passion for training, mentoring, and spreading the knowledge. I love design technology. And I apply it as an integrated process in the architectural profession.

      Two years ago, I was called to help a team with a pilot project in embodied carbon. It was a joint venture between the San Diego office and the LA office. The pilot project finally got presented in Green Building 2020. Shortly after, we got a project in which the client reached out to do a carbon study.

      In that project, we partnered with our sustainability experts and in a joint venture between San Francisco and the LA office. The project was a success. And we started grassroots the growth of our sustainability champions and the interest in testing the workflows in their projects, having in mind to apply it into their next project, and pass the learning curves to others.

      Some of the projects were far along in CA phase and sometimes they were already done. It allowed us to get a carbon footprint, and analyze the process at a significant milestone, and some cases at the end of the project. But moving forward, we're trying to spread the word and the workflow to as many projects as we can.

      Let me talk a little bit about the challenges and the lessons learned. And in the screen, we can see a couple words that come to my mind of the things that we experience. So part of the challenges were the budget, the client, the schedule, the numbers of users and projects that we were working, the inconsistency between some of the projects, the use of technology, the tools that we had. Sometimes we didn't have some of the tools that I'm going to show in this presentation. And the knowledge was a big one and then support to make it happen.

      To give you a picture of the scale, in the LA office, we have 11 DT leaders and 17 resilience leaders. We have 15 design studios that serve 451 people with over 900 projects. This can give you a sample picture of the size of our company. This is basically a sample office.

      And these are the top five in my list to tackle to get into reducing embodied carbon in our projects. So GC3. What is GC3? GC3 is Gensler's Cities Climate Challenge. And it is our internal commitment to carbon neutrality by 2030. We are trying to focus in our own cities and industry to get to carbon neutral.

      Gensler has internal commitments towards receiving the carbon neutral in our work within a decade. And we're also hopefully inspiring you to join us in designing a better world.

      So path to carbon neutral. How do we get there? There are two main sources of carbon in the built environment that we as designers, architects, that we want to focus, first on operational carbon, which is the emissions associated with the day to day energy required to condition and power our buildings, and the embodied carbon, which is the emissions associated with the materials that physically construct the building. That is associated with the resources to extract the raw materials and all the way to the resources that take to demolish them and the buildings at the end of their useful life.

      Right now we're concentrating in collecting energy data from the embodied carbon. And it is really important and critical to understand how to reduce it. First, embodied carbon is really important. We are getting real good in reducing the operational carbon, especially because codes and regulations are coming along. Second, most of the carbon is in the manufacturing stage. And more than half of the emissions are generated before the building is actually built. As a designer, we have a lot of control over the materials that get selected to make our buildings.

      And what is the impact of making and using buildings? In this pie chart, we can see that 49% of the carbon emissions in the world are generating by making and using buildings. And we can see the impact of using buildings is 35%. And the embodied carbon 14%. And 14%, it is a big chunk of this pie. Understanding the impact, and how can we improve, and how can we make a difference is super important.

      Carbon intensity of the building materials. And in this case, we're going to see it from the interiors versus the base building lengths. In the pie chart, we can see that at the very beginning of the life of the building once it's constructed, the base building generates 94% of the carbon emissions and interior 6%. As we move along through the timeline and the interiors get remodeled over time, we can see that, in the span of 60 years, interiors come to be almost half of the carbon emissions of the building and how equally important is to pay attention to the shell and core of the building as well as the interiors when we're studying embodied carbon. It's the whole life cycle of the building.

      So what is the strategy for implementation? In order to make this happen, we need to have visibility and data. And what we need to make sure is that everyone is empowered in our projects to reduce embodied carbon in their projects. We also need to get there and figure out how can we incorporate the information in our day to day workflows and in the ways that we approach design options.

      And here is where we know that is super important to take the advantage of the qualities, the incredible value of BIM. And we want to make sure that we're using the best way to leverage the I in BIM to get the good data and provide feedback loops to the project itself. And its efforts to create-- and all these efforts are there to create a very solid foundation so we can extract, observe, and also analyze the data.

      So in this strategy for implementation, we have to take a lens from a multi-pronged approach. We have to look at the tools and workflows and providing templates and training. We have to pair with our design resilience leaders to have strategic reduction of carbon strategies. And these two need to work together. We have to watch our workflow in the embodied carbon to be able to benchmark and track. And we need to increase it to all the projects.

      We also need to incorporate aspects, and use performance-driven specs, and inform the contractors what are the guidelines moving forward in our specs. This is going to help us set global warming potential limits in the materials that are put together in-- that put together our buildings. And it will help us reduce the embodied carbon by building the buildings.

      So then we have to also take a look at the engagement at the project level, how to drive implementation. First, we need to observe the climate conditions and how do they relate to the unique conditions for the project. Also, with the design features, we need to learn how to validate and optimize our design options.

      And with strategy, we need to strategize for success. We have to learn and implement the best strategies in our projects. And how does data can inform our design?

      Also, we need to leverage our teams by empowering them and make them accountable. Right now we are operating in a sense that we have specialists in the projects and multiple people that have not just get engaged. We need to get them together by project training so then, eventually, we can have a holistic and synergetic approach between design technology, sustainability, and the design deliverable.

      And we also need to validate and find the right balance to ensure adoption and growth. Our training should be focused in a one-on-one in a webinar style. And we have to attack from both sides, from a macro side and a boots on ground. And we also need to find a balance and get the data collection in our projects to be able to visualize it and observe the trends.

      So what is the solution? How do we streamline a workflow to measure carbon footprint? Should we do it with a dynamo script or a seed file? What are the pros and cons?

      I find this image super interesting. 84% of our digital transformation in building fails because they are not ready to change their behavior. And this is super important to understand. Sometimes the workflows that we create are a little bit too complicated for our users to implement.

      So how can we have a simple workflow with a current toolbox? Currently, we have a hub that provides simulation lenses towards reducing carbon emissions in which we analyze the climate, decarbonization, human comfort, energy use, daylight, radiation, and wind flow. I personally concentrate in decarbonization. And in this lens, we do have a series of tools that we're using for these efforts. And in the operational carbon, there's another team working very intensively in our projects simultaneously for the operational carbon.

      So what is the process for data extraction? Think comparison and selecting materials. Here we have a diagram of two tools that we're currently using. We're using Tally and EC3 for our workflows. And we're using them at all the stages of the projects from schematic design through construction. And the documents are a very easy transition between the procurement phase with an integration to the EC3 from building transparency.

      So let's observe in this slide a typical project timeline. And let's concentrate in one of the most important phases of the project, which is at the very beginning when you define the project, when you pursue that RFP. It's really important to set up your goals, a plan, and a strategy at this point.

      Once you cross the line and you go into your SD phase, it's really important to have a resilience onboarding in which you're going to bring your DT leader and your resilience leader. And most important to use the right seed file. This will ensure consistency in your projects and also it will make sure that keep you in track, because once you start the process, it's just a rinse and return.

      And you can have major milestones in your project during the delivery process and then hand it over to contractors over the procurement phase and then in the construction. With these tools, we can compare options and analyze the impact. For example, in this slide, you can see a project that we did in LA. It was an adaptive reuse project and a renovation.

      And basically, in this one, the client reached out to us because they usually do ground up construction and they really wanted to understand what is the benefit in terms of carbon of how much carbon they save just by using the main structure of the building. So this image is really great because we were able to have a comparison between what if this building was built up from scratch and what is the material quantities versus a renovation.

      And this sparked up the curiosity. How can we streamline the process? So we landed into creating a template file for the baseline materials that will establish consistency and efficiency. You see user access. And it will enhance the QAQC process. The goal is to use and reduce time, options to run the studies in all the projects with an additional setup.

      The baseline is ready to extract the data. With this it already has typical materials and project elements like walls, floors, ceilings, and doors. And these minimize the data input at the project level and sets a benchmark, a consistent benchmark in our project. So that is our starting point. And with that, I will switch to a live demo to show what we're talking about.

      In the screen, we can see a project that was created from the template that we were talking about a minute ago. And we have a sample of our typical walls. And we have samples of typical ceilings. And we have samples of typical floors.

      And with this, I'm just going to mimic the typical experience of a designer and doing the projects. They will basically start drawing their building. And I am not going to design this like to get award but I will just have a quick layout. And from there, I will just be able to start the process and explain how this will work. OK.

      And I'm going to start with a generic wall for this one. Six inches. And we're going to just make this one maybe eight feet here to mimic a corridor. So our typical-- let's imagine this is one of your buildings. And a typical designer will have a design. And they will start allocating walls.

      By having a sample, we are able to use the match properties and be able to assign wall types. And as you can see, the original wall was created with eight foot height. And once we match properties, this wall, it goes from the floor level to the upper level, which ensures a proper calculation of the wall height, which is really important when you calculate in volumes.

      In this case, let's say this is an exterior wall and these are interior partitions. And I am going to use a partition that it is three and 5/8. And it only goes to 10 foot 6", assuming that the ceilings are going to be sitting at 10 feet. So I am just going to do the same. I'm just going to use the match properties and allocate the walls.

      And I'm assuming this is a corridor so I'm just going to assign the proper wall type. Usually, our designers are not really paying attention to how tall is the wall. But when we're taking quantification, this is super important.

      They're just looking at a floor plan in plan view. And then when they go to documentation, they're really interested that they have the right tag in the wall. And sometimes they do forget that the wall needs to be modeled at the right height. In order to get a good footprint, the walls need to be, in location and elevation, they need to be at the right location.

      And we can see that the walls were created at full height and then the other ones in the middle, they were created at 10 foot 6". And then this is our corridor wall with the rating. So this helps the users speed up the process. The colors and the filters-- we're using filters in this template to assign colors for the different wall types.

      This can help with the QAQC process as they can have a view that it is for internal coordination. And now we also have samples for floors. And we also have samples for ceilings. So the other thing that it's really nice about this is that we can create our floors. And we can do it in a manual way.

      Just going to do it in a manual way which is a little bit-- the one that takes a little longer. And I'm going to finish this up. And I just assigned carpet flooring in here. I can switch it for a resilient flooring. And having the samples with the proper patterns can also increment QAQC. And by modeling the floor, now we can tabulate the embodied carbon.

      There are other ways of doing this in a more streamlined way. So if we create the rooms in this one, we can take the perimeter of that room that is defined by the walls. And we can actually assign-- we have created some tools internally in Gensler to create floors from the room boundaries.

      So I am just going to select these three rooms. Take a look on the right side. There's no floors. And I'm going to execute the command. I'm going to apply a generic floor finish and then the floors were created.

      And then we can just use our match properties. And I'm just going to isolate this one. Isolate the category. And I can assign stone flooring for maybe these are the bathrooms. And maybe in here we're going to have a wood flooring in the other room.

      We also have dynamo scripts. And that needs a little more preparation because we have to create all the materials. The way we have those set up is we have graphs in which we first create the rooms. We allocate all the parameters in the room for floor finish and ceiling finish. And we are able to create all the floors and being able to map them to pre-made finished floors that match those things.

      So now that we have all the elements created, we're going to run our report. And we're using an LCA app called Tally. It is within Revit. And it can tabulate all these categories, these system categories, in Revit.

      You can parse it by work sets. And you can even parse it by faces. For now, I'm just going to select everything. And I'm not going to count the work set that says Tally don't count because those are the sample walls and I don't want to count the sample walls for this project. I want to be able to count only the walls that pertain to this project so I'm just going to hit Apply.

      And it's going to give me a short list of everything that has been actually modeled in this presentation. I have the resilient flooring. And I can actually select the elements, as you can see right here in the screen or in the 3D. And it also gives you quantities.

      And it already is giving you embodied carbon information over here based on the parameters that were prefilled up. Same for the stone flooring. It's telling me I have two of those. And I can also select them from the screen. And also for the wood flooring. I can actually select them and double check that they were applied in the correct location.

      Once we have this information in the Tally application, we are able to save our report. It's just going to ask us for a few information like the company. And for this, I am just going to put today's date and AU 2022. And I'm going to save the report with the same date.

      And what this is going to generate is a report. It's going to give me an Excel file, which we're going to put in the right side of the screen. And it's going to generate a PDF format as well, which is going to come in in the left side of the screen. This report is being generated from the quantities of the Revit model that we just created. And it just takes a couple of minutes to get a full report. It is a full life cycle assessment.

      Oh, here it is. We got the report. And I'm going to thumb through the report. It is a very detailed report. It comes in with dashboards, a very detailed information for each of the elements and what is the carbon impact of this. And this PDF is really amazing PDF that it's complete. And once you finish assigning all the definitions, it will be ready for submitting it for a LEED credit as your LCA.

      And the full report, as you can see here, it's just a report of the life cycle analysis. It is the metadata extracted from your Revit model. It is classified by the different divisions-- Tally entries, material. And this is what we're really looking at, which is in all these tabs, is the global warming potential. That is where the embodied carbon really sits. So you can see that the same information parsed in different ways. And you can actually look at your information in a more granular way.

      So these LCA reports can be generated at any point of the process. The PDF version, like I mentioned before, it is really detailed. It's a full description of the process. And it has all the elements included and broken down to the element material level. And once the data is finished, the report is ready to be included as your LEED paperwork.

      In terms of the Excel file, you can also have it at any point. As you can see, it takes less than five minutes to generate a report. The data gets extracted directly from your Revit model. It lives in your Revit model. It doesn't go to a cloud service so there's that-- if you have confidentiality issues, it really lives in your Revit model. It enables team collaboration, which I think is the best way to approach.

      We usually break our teams in different teams. And some of them work in the shell and core, others in the stairs. Well, that's probably the most organic way that you may want to break out the embodied carbon assignments because the team that's working at that certain point of the project will be the best one to answer the questions for the materials for those components that they're working on.

      And we do have special cases. For example, in the screen we are looking at a curtain wall which was produced with a custom curtain panel. So we have noticed that when we have these custom panels, then have multiple materials within the same panel, the Tally application is giving us a little bit of a volume issues which can lead to a potential large overcount of glass, aluminum, and other materials that compose those custom panels.

      So how do we deal with a custom panel and how do we calculate it to get the embodied carbon to do this type of analysis? So we came up with a solution. And the solution we came up is, how can we disassemble the curtain wall by material, query each volume of each of the material as modeled, and rebuild it using a wall to match the quantity volume of each of the different materials that we're observing and repeat this computationally over and over the whole project? The only thing we will include in that Tally report, because we have to do it separately, is the dummy analytical materials. And this is to get an accurate carbon footprint of the curtain wall.

      For this workflow, we started with a Revit model. We used Grasshopper inside Revit, so the workflow from Rhino inside Revit. That brings in Grasshopper inside Revit. And our computational team developed a script using Grasshopper and then pushed the information to Tally from Revit directly once these elements were created.

      One of the most important things about data is that we need to share it. And we need to share at any milestone. And the goal is that the metrics are the fingerprints of all users at real time. So what we're doing for this is the data that it gets extracted from Revit through Tally and get pushed to an Excel file and then visualized through Power BI, as you can see in the dashboard on the right. This information resides in a SharePoint site and is shared back to our users to our teams channel. This makes the data available, easy to access, and they are able to do comparisons and reductions of pounds of CO2 in their project.

      How can they use this as a design tool, this workflow as a design tool, to analyze on their projects to get optimized solutions? Well, with the power of visualization of data, they're able to create comparisons. For example, the one you're looking in the screen is from one of our projects in which the project was an adaptive reuse. We made an assumption of how much embodied carbon will be produced if it was built from the ground up, which is the chart on the left.

      Just because we took the design decision of doing an adaptive reuse, we were able to save 33% of carbon emissions in that project. However, when we did this analysis, it was done during once we issue for construction on the project. And a lot of the design decisions and materials were already taken so it is what it is at this point. Right.

      So our sustainability team gathered together and started analyzing what could be choices to have the same building with best in class materials. And that's when the savings got dropped down to minus 57%. This is astonishing drop, which tells a story that to really make a difference, just making an embodied carbon study is not enough. It's really honing in at that very beginning of the process in which you have the opportunity to take decisions on which materials are going to be the ones used in your projects. That's when these types of iterative analysis can be informing our design decisions and how we design our buildings.

      "Great things are done by a series of small things brought together." I really wanted to leave you with this thought from Vincent van Gogh. And thank you for sharing with me today.

      ______
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      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

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      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

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      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.