Learning Resources

Abstract: Long-range master plans make assumptions about the future, but historic data is actually a more reliable predictor. A master plan built on data, not assumptions, is also easier to adapt to changes. We will discuss a computational metrics mobile app and how Miami University uses it for its master plan. With practical tools and processes in hand, you will be able to prioritize available data, make more informed planning decisions, and align your team before executing future planning priorities on your campus.

Abstract: Institutional data trends over time is important to show progress or areas of concern. It can be equally important to compare oneself to like institutions. Have you ever thought about how a peer group gets determined? If you have a peer group, have you ever wanted to evaluate the group using data? You will learn an approach for developing a data-informed peer group and how benchmarking with a peer group can inform your institution's governing board and be linked to mission.

Abstract: Innovative leaders must promote and cultivate a data culture that informs decision making across an institution. In this session, we will discuss data strategies for capital and facilities planning that enable real-time mobile access to planning tools, automated project tracking, metrics, and building transparency in order to support the planning and execution process. Come learn about agile development of available open source tools that enable cost-effective data strategies, including automated processes, and the development and implementation of planning and execution tools.

Abstract: Academic strategic planning can be difficult given the bevy of stakeholders and often multiple sets of accreditation criteria. Recognizing the limits of the traditional SWOT model, our program chose to use the Strategic Planning Engine model. The model itself is quite laborious, and to increase its usability, we simplified the environmental assessments. Our results proved to be useful and relevant, and we developed a series of feasible objectives. In this article, we describe and evaluate our experience. In comparison to SWOT, we found this process to be more objective and replicable, scalable and responsive to multiple criteria, flexible to accommodate changing strategic plans or criteria, and transparent. With that being said, we caution about the level of labor required and organization and communication needed. Finally, we recommend implementing a leadership team, a communication plan, and a plan on how to respond to uncontrollable circumstances and developing a level of comfort with limited resource allocation.

Abstract: Campuses are increasingly interested in “greening” as a response to climate change, in recognition of a resource-challenged future, and based on a desire to prepare current and future generations for a world faced with new environmental, social, and economic threats. But where to start? We often look to our facilities personnel to lead the charge with energy efficiency measures and LEED-certified buildings, but how do we institutionalize sustainability and make it part of the fabric of the university? A useful tool for beginning this process or coordinating existing efforts is the creation of a campus sustainability plan that can serve as both a strategic planning document and an implementation guide with specific action items, benchmarks, and accountability strategies. This article provides a script for anyone looking to take on this task and includes a case study from a large public institution with the aim of assisting others in this endeavor and easing their transitions to more sustainable campuses.

Abstract: U.S. transportation data suggest that the number of vehicle miles traveled has far surpassed new capacity, resulting in increased traffic congestion in many communities throughout the country. This article reports on traffic congestion around a university campus located within a small town. The mix of trip purposes varies considerably in this context, with the majority of trips related to student movement to and from classes. The university itself becomes a major traffic generator, but in a complex way. This article describes how congestion in a university setting differs from that in a nonuniversity setting; what components drive this congestion; how best to reduce this congestion while adhering to overall university planning objectives; and how to set a foundation for traffic management strategies that provide environmental, social, and economic benefit to the university and, importantly, to the surrounding community. The information presented here applies beyond the campus setting to any community that contains nontraditional traffic generators and shows why context does matter when analyzing and managing traffic.

Abstract: A simple and readily understandable visual display of quantitative measures of academic efficiency and productivity is demonstrated in this article. This graphical construction facilitates annual comparisons of unit efficiency and productivity as well as an analysis of temporal changes in unit activity. By establishing a common framework upon which a data-driven conversation regarding unit activity is constructed, this method produces a single graphical representation of the activities of any academic unit. As such, this technique assists academic decision makers with goal setting, resource allocation and reallocation, and the program prioritization process.