Successful maker spaces manifest in many different forms in response to unique institutional strategic goals and industry research partnerships. Session leaders illustrate the influence of varying program emphases, business models, and operating cost targets on maker space design solutions, and deliver findings pertinent to all engineering and advanced science space initiatives. They contrast strategic drivers and results for three diverse maker suites serving the fields of AI, robotics, autonomous vehicles, and computer science, including a post-occupancy evaluation of a BIG 10 engineering school's maker space. They detail programming metrics and space utilization strategies, and design features supporting entrepreneurship and team-based collaborations.