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Online | March 11 – April 8 - Budgeting for Impact: A Working Group on Resource Planning in Higher Education
Online | Feb 5, Feb 19, March 5 - Cross-Functional Collaboration: Tools and Skills for Working Across Silos
Online | February 10, 17, 24
- Building Buy-in for Planning: Dealing With Resistance and Gaining Support
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Planning for Higher Education JournalDe-Densifying Classrooms in the COVID-19 Era
A Scalable and Accurate Non-Linear Model Projects New Distanced Space Capacities
From Volume 48 Number 4 | July–September 2020By Kimberly S. Koverman and Ann P. KalayilPlanning Types: Campus PlanningChallenges: Responding to Disruptive Events
Institutions referenced in this resource:
Columbia College-ChicagoCampus space planning generally involves the use of linear models that apply a simple square-foot-per-person calculation to determine capacities for different room sizes. Most return-to-campus strategies following the easing of COVID-19 shelter-in-place restrictions involve modification of these models, increasing square-footage-per-person to accommodate six feet of distancing. This provides reasonable upper and lower capacity estimates, but it does not yield accurate estimates across different room sizes and room types. Columbia College Chicago has developed a non-linear model that is both scalable and accurate, resulting in estimates that match test fits across all observed spaces.
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