Reflect on the inefficiencies identified by the McKinsey report and the potential of emerging digital technologies to disrupt and add value to the AEC industry in the 21st century.
Consider the credential you earned, and future career interest/s such as “how might I practice architecture to solve the climate crisis,” or “how might I apply AI for design,” or “how can I improve construction efficiency,” or “how might I apply coding/programming/Machine Learning help add value to buildings/cities,” “how might I …fill in the blanks.”
Research and present a case study to identify how the digital tech solution that you have an interest in solves a problem/adds value. I recommend you start with the case studies that we discussed in class to make these connections. You are of course welcome to bring something else if that better serves your interests. For example, you might focus on a specific project, architectural practice, or company etc.
(Nov1) Step 1: Spend 2-3 hours. Research and find 2 to 3 case studies, before you hone in on a specific case study. Summarize the above on the Miro board for discussion in class, so we can collectively help you pick the case study Your peers will provide input.
Value proposition: What does that case study do? (what problem is it solving or the value it is adding)
How did they do it:
Specifics on why that tech was chosen to solve the problem:
Next steps: How do you connect it with your credential/interest and chart a path to get there?
(Nov 7) Step 2: Spend 3-4 hours to research and gather more information to prepare (5 minutes; 10-15 slides) a slide presentation that is visually rich, inclusive of information that supports your assertions, and educates others of the opportunities opened up by a particular digital computational field.