Learning Resources

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: The services required to support the strategic work of universities often exist in silos, and this disconnection can impede the advancement of new initiatives. To prepare for a complex new program, a number of analytical processes need to occur—background research, environmental scans, and benchmarking. To develop the initiative, strong facilitation and project management skills are also required. To ensure the initiative’s success, careful space planning and financial planning must exist along with the development of evaluative measures to monitor progress. This article describes how one university combined these services into a single department to more effectively support the strategic work of schools, divisions, and campus-wide programs.

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.