Overcoming the Barriers to Computation Mass Adoption

July 23-25, 2018

New York

Register by Friday June 22 to save up to $200

Day One
Tuesday, July 24 2018

Day Two
Wednesday, July 25 2018

08.00
Chair’s Opening Remarks

Case Studies

08.10
Hearing Step-By-Step How Urban Planning Models Have Been Optimized Using the Latest in Computational Design

Synopsis

• Understanding how a modeling program was determined to optimize planning for large scale city projects.
• Identifying how computation was used to analyze risk and location, and how this facilitated better spatial planning and forecasting scenarios.

08.45
Leveraging Computation & Design Databases to Meet Tight Project Schedules on a Complex Project: Mexico City Airport Case Study

Synopsis

• Hearing how the workflow was adapted to account for unavoidable design and schedule changes throughout a project so that computational information could be adjusted.
• Finding a way to synchronize different datasets from users and partnerships so that computation could be used across all phases of the project…

09.20
Integrated Building Performance: Outlining the Workflow, Tools & Techniques Used by Architects & Engineers to Improve Energy Efficiency through Computation

Synopsis

• Hearing how to create a more informed process by incorporating computation into a collaborative workflow for energy analysis.
• Leveraging the best suited computation technology to integrate energy performance analysis…

10.00
Morning Refreshments

Machine Learning & Artificial Intelligence

10.30
Laying out the Roadmap for the Growth of Computation & Emergence of Artificial Intelligence in Architecture: When Do We All Lose Our Jobs?

  • Randy Deutsch Associate Director, University of Illinois Urbana-Champaign

Synopsis

• Demystifying the potential capabilities of Machine Learning in the AEC landscape.
• Attempting to form a realistic expectation of the extent to which computation will be adopted in the industry over the years to come…

11.10
Exploring the Potential Benefits of Machine Learning to Improve Project Controls

  • Amir Tasbihi Director of Construction Technology Services, STV

Synopsis

· Understanding how computers can think for themselves: applying Natural Language Processing and Machine Learning in classification of project tasks to generate accurate delay forecasts.
· Hearing a case study for the application of machine learning in project controls and comparing the results with outcomes from traditional computational design methods…

Data Management: Hardware & Software

11.50
Understanding Where Existing Data Is Obtained from to Maximize Computation Potential

Synopsis

• Providing a context of the industry’s data management: what data is available and where is it being gathered from?
• Outlining effective methods for optimizing data harvesting to increase efficiency and relevance…

12.30
Networking Lunch

13.30
Audience Discussion: Outlining Hardware Options for Enabling Fast Computing Such as Cloud-Based Solutions or Linking Office Machines

Synopsis

• Determining the different hardware possibilities for a computer to extenuate the endless iterations that computation allows for and discussing their pros and cons.
• Exploring how to leverage cloud computing to be able to run and analyze simulations before the design has been finalized without the need for extensive hardware solutions…

14.10
Reviewing the Software Options Available, the Best Ways to Transfer Data & the Benefits They Bring for Users

  • Jason Chen Director of Design Technology, HLW International

Synopsis

• Learning about the different software and methods that designers are using to connect BIM data to other sources of data and understanding the best way to format it…
• Discovering various solutions for visualizing and interacting with the new combined datasets.

14.40
Afternoon Refreshments

15.10
Linking Computational Models with Virtual Reality & 3D Printing to Provide Rapid Digital & Physical Feedback on Designs

  • Mark Nicol Senior Associate Principal, Kohn Pederson Fox Associates
  • Jason Danforth Computational Designer, Kohn Pederson Fox Associates
  • Xin Zhang Bim Practice Specialist, Kohn Pederson Fox Associates

Synopsis

• Addressing some of the current challenges with feedback on traditional design models and its impact on the fabrication process.
• Understanding the potential efficiencies of a model that combines computational design with virtual reality and 3D printing.

15.50
Chair’s Closing Remarks

16.00
End of Conference