Learning Resources

Abstract: The building sector contributes forty percent of carbon emissions globally. Given the climate crisis, it is imperative that campus facilities and planning departments address sustainability in a rigorous and fiscally responsible way. This session will explore Princeton University’s campus master plan, which engages an ethos of sustainability through the lens of carbon emissions, landscape design, energy, and water efficiency, from design through construction. Find out how you can apply Princeton's ambitious sustainability goals and lessons learned to your master plan and sustainably develop your projects for the benefit of your campus environment and community.

Abstract: The Integrative Design Process (IDP) is a powerful collaborative framework that aligns with an institution's culture to cost-effectively achieve any project's desired outcomes. After adopting IDP incrementally since 2003, Princeton University has created a full program, including a roadmap and in-depth training. A well-designed IDP supports participation and buy-in from users and effective collaboration in project teams-that means fewer changes during the construction documents phase and construction, smoother turnover, and better performance. In this session, we'll share our results and challenges and show how you can use an IDP to realize better value and outcomes for your campus project.

Abstract: The sustainability movement in higher education has made considerable headway in the areas of research, campus operations, and community outreach, but has been less successful in bringing about curricular reform. To promote greater thinking about sustainability in the undergraduate curriculum, this essay explores three main questions: What are the implications of sustainability for higher education? What are some noteworthy examples of institutions incorporating sustainability into the curriculum? And, what can we learn from their experiences? The author advocates implementation of a "third order" learning model, emphasizing deep learning, a participative process which takes the form of continual exploration through practice.