Agenda
7:00 am Check-in, Networking & Coffee
8:00 am Chair’s Opening Remarks
Driving Adoption of Computational Design Tools
8:10 am Case-Study: Maximizing the Use of Technology to Streamline Design Efficiency & Increase Cost Savings
Synopsis
- Evaluating how we improved interoperability to create a seamless workflow for smoother transitions between design phases
- Dissecting how automation, such as converting CAD details into Revit or creating dynamic parametric models, enabled quick iterations of design options
- Harnessing lessons learned from successfully using add-ons to enhance efficient and productive project execution
8:50 am Panel Discussion: Keeping Up With Constant Technological Advances to Balance High-Quality With High- Tech Designs
Synopsis
- Discussing how the fast-paced evolution of technology impacts the development and deployment of new tools: how can we balance innovation with current applications to avoid wasted resources?
- Staying updated on emerging technologies without feeling overwhelmed, to make informed decisions about adopting or building new tools
- Evaluating options: when to develop custom solutions versus adopting existing tools or low-code/no-code options
9:30 am Forging the Future of Computational Design – Together
Synopsis
• Snaptrude’s Computational Design Vision: Exploring the shift from outdated legacy tools to modern platforms and the crucial role computational design can play in this evolution
• Observing AI’s Design Impact: Highlighting key insights from the past year, including the impact of the AI wave on the design landscape and how it has shaped Snaptrude’s strategies
• Exclusive First Look: Unveiling Snaptrude’s latest capabilities designed to empower computational design teams and discovering how cloud and AI have been harnessed to drive efficiency and innovation
10:00 am Speed Networking & Morning Refreshments
10:40 am Facilitating Collaboration Between Management & Computational Design Teams to Aid Buy-In & Understanding of Roles
Synopsis
- Examining how a lack of awareness from senior management regarding the benefits of computational design tools can hinder their adoption, and exploring strategies to bridge this knowledge gap
- Improving communication and alignment between computational design teams and management, ensuring that both parties understand and value each other’s roles and contributions to enable increased support
- Investigating effective approaches for gaining support from leadership and integrating computational design practices into firm-wide workloads to assist with approval
Enhancing Designer Autonomy
11:20 am Applying Lean Methodology to Architectural Process using Technology and AI
Synopsis
• Reducing the extensive time architects spend on documentation by leveraging Leandriven technology and AI, eliminating human error throughout the process
• Generating data-driven designs through test-fits, empowering architects to make sustainable decisions while exploring multiple iterations
• Streamlining the architectural process by aligning the right technology with specific tasks, ensuring architects retain control as the ultimate decision makers
11:50 am Case-Study: Maximizing Designer Productivity With Automation to Increase Outputs
Synopsis
- Minimizing time spent on repetitive tasks through automated solutions to reduce manual intervention and accelerate file handling
- Leveraging computational design workflows to automate the process of generating data center plan options to accelerate decision-making and reduce design integration time for exceptional project outcomes
- Re-evaluating and adjusting task priorities to ensure that design efforts are not diverted to low-value tasks to enhance overall project output
12:30 pm Lunch
1:30 pm Panel Discussion: Balancing Design Creativity With Automation to Uphold Designer Autonomy
Synopsis
- Exploring how automation tools are being integrated into design processes, focusing on the efficiency gains and potential impacts on designer autonomy
- Evaluating how automated algorithms that provide predefined solutions affect the role of creativity in design and the potential trade-offs between efficiency and innovative design approaches
- Investigating the implications of automation on design ownership and the role of architects in claiming and validating contributions in an increasingly automated environment
Streamlining Project Coordination
2:10 pm Audience Discussion: Working With Contractors Early in the Design Phase to Reduce Model Conditioning Times
Synopsis
- Determining the essential data and models needed by contractors for effective use
- Understanding the challenges contractors face with varied model formats and how integrating contractor feedback can lead to more accurate and usable models to reduce the need for extensive conditioning
- Exploring strategies for involving contractors early in the design process to align on data needs and model standards to foster better communication and efficiency throughout the project lifecycle
2:50 pm Case Study: Embedding Computational Design at Every Project Stage to Balance Innovation & Accessibility
Synopsis
- Showcasing how tailored computational solutions enhanced design autonomy for complex, project-specific challenges, while ensuring flexibility in creative approaches
- Standardizing computational workflows to increase accessibility for broader teams to promote efficiency and reduce dependency on specialized experts
- Highlighting real-world examples where the integration of computational tools created unexpected obstacles and addressing lessons learned on how to mitigate them for smoother project execution
3:30 pm Afternoon Refreshments
Exceeding Client Expectations With Low-Carbon Designs
4:10 pm Case Study: Introducing Computational Building Analytics: It’s More Than Energy Modelling
Synopsis
- Exploring human-centric and environmentally focused building analytics tools that go beyond traditional energy modelling
- Discovering how the JHU Student Center leveraged cutting-edge analytics to optimize the design process with data-driven insights
- Learning how these tools contribute to achieving project goals beyond sustainability
4:50 pm Case-Study: Harnessing Computational Design to Reduce Embodied Carbon
Synopsis
- Running simulations of climate studies to evaluate how to improve sustainability across your designs
- Highlighting the challenges of balancing carbon reduction, resource efficiency, and building performance
- Navigating data format inconsistencies, benchmark variability, and evolving local policies to ensure accurate sustainability assessments