Advancing Computational Building Design 2018 Blog
Learn how to develop as a team and create a strategy for technically emergent staff to use computational design methods and tools.
Our Firm’s Progress & Expanding Audience
At DLR Group, we challenge ourselves to think beyond what’s possible. One challenge is widespread adoption. While having a different perspective is often an advantage in the design process, we’re seeing that employee-owners in the company think differently about our technical process and how they are learning to streamline and integrate these workflows across multiple regions.
Understanding how different people work, realizing their capacity for adaptation, and gauging their interest in computational practice is tricky. Computational methods are not for everyone. While the intent is to use computers to our advantage, the learning curve is not a path for everyone.
DLR Group is making tremendous progress, expanding from by 150% to our subscribers in our internal newslettern three years. These numbers represent our eyes-on, hands-on users, and eyes-on-only users. On a grander scale, the Dynamo NEXT video and audiocast reaches a global audience. The YouTube channel has over 1,200+ subscribers world-wide and is a growing resource for tips and real-world examples of working with computation.
Questions & Analyses
A sample of questions this session will answer include:
- How are we tracking the process to validate progress?
- What are the resources suggested for learning about computation?
- What are you doing to apply what you learned?
Motivate Our Industry
Evidence demonstrates that we can use computational design tools to win projects, not just create amorphous designs or faster design iterations. Proof is in the performance. Once you establish that computation played a role in getting a signed contract, you have an evidence-based, business case study. Now, it’s easier to build an ROI case on the investment of time and practice improvements it brings with it.
Most of the validation comes after our work is complete. With computational design, the project schedule is so short that if something isn’t working, we occasionally have to abandon it then come back later to improve it. This is just part of the process of the Build-Measure-Learn cycle.
Computation is more than a few advanced tools to manipulate data; it’s an assistant to create and move data. This is the perfect time for design professionals to establish ourselves as experts in AEC Big Data and beyond.
“The leaders will be movers of data who create and enhance architectural spaces that elevate the user experience.”
I’m looking forward to hearing back from the community just as much as I am presenting the topics selected by the conference committee. Expect a short feedback session after the presentation is over but as always, reach out locally and globally if you need assistance.
Thank you for reading and I hope to see you at Advancing Computational Building Design in New York later this year!
~Ryan B. Cameron