Learning Resources

Abstract: Using a longitudinal case study spanning two decades (2003–2022), the authors analyzed how a large public university’s college of business administration designed a system that balanced institutional assessment needs with faculty workload considerations. Their findings revealed that successful large-scale assessment systems require: (1) multilevel organizational structures with clear staff roles, (2) embedded assessment measures leveraging existing coursework, (3) technological infrastructure to streamline data collection, and (4) robust feedback mechanisms ensuring interventions are implemented and evaluated. The study contributes empirical evidence of scaling challenges and offers a transferable framework for large institutions seeking to enhance assessment capabilities while maintaining faculty engagement.

Abstract: Science and engineering programs continue to grow and attract funding. Strategic planning can maximize new and repurposed space for STEM programs to address aging infrastructure, changing research, evolving student needs, and an uncertain future. To build stakeholder consensus and develop an achievable plan, we'll define key metrics behind the best use of existing space and showcase how specific data-driven tools and analytics transform traditional planning into a living masterplan. By applying a living masterplan and embracing data-driven tools, you'll be able to reach stakeholder consensus sooner and develop more efficient plans that are both implementable and adaptable to future changes.

Abstract: Many institutions have legacy STEM facilities that no longer support their teaching, research, and sustainability goals. The University of Virginia's (UVA) Gilmer Hall and Chemistry Building project provides valuable insight into planning and operating a major renovation for STEM disciplines. This project has strategically repositioned UVA's main science buildings for better outcomes in teaching, research, and high-performance sustainability. Come learn how to balance cost, function, aesthetics, and sustainability in developing the most effective planning and design solutions for major STEM renovations, as well as actively manage these facilities to fully leverage their new capabilities.

Abstract: With campus space at a premium and industry investment on the rise, institutions are developing flexible research facilities beyond their core campus to accommodate evolving technology. The key to maximizing these spaces lies in integrated planning and design. This session is an exploration of the planning process behind Carnegie Mellon University's (CMU) new Robotics Innovation Center (CMU-RIC), an ambitious off-campus facility that includes aerial, aquatic, and outdoor robotics testing spaces. We'll investigate how a collaborative planning and design process aligned diverse stakeholder interests and identified core priorities in the development of a highly-adaptable research facility.

Abstract: Campus science and tech buildings are crucial for research, hands-on learning, and development of a skilled STEM workforce. Institutions, and small colleges in particular, must leverage these campus resources to stay competitive while facing the impact of birth rate drops. This session will explore creative solutions for bringing state-of-the-art science and technology environments to your college campus in the race to recruit and prepare students for careers in a technology-driven society. Join us to learn how other mid-sized, regional colleges have solved the problem of creating consensus, space programming, and the institution's role in delivering successful, modern STEM learning environments.

Abstract: Everyone involved in planning activities will be aware of the use of data in the process. Data-driven planning is ubiquitous in all planning processes but can be a weak spot for many planners. The difficulty for most people is that the very mention of “data” can make eyes glaze over. Some of the least understood and most misused data are student, faculty, and staff headcount and FTE (full-time equivalent). Understanding some critical factors about these data sets can help demystify them and strengthen the planning process.

Abstract: California recently passed legislation that permits its public entities to leverage Progressive Design-Build (PDB) delivery methods for capital projects. Other states are following suit, which will upend traditional planning and design processes. This session will outline necessary changes to pre-design planning processes and considerations to set projects up for success under a PDB delivery model. We'll share tools that will help you achieve better outcomes in your planning and design processes, including lessons learned from our own successes and challenges of using PDB as a project delivery method.