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  • Institution: Columbia College-Chicagox
  • Tags: Flexible Learning SpacesxFlexible Learning SpacesxCOVID-19x

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Conference Recordings

Published
October 27, 2021

How an Unprecedented Year Changed the Game for Campus Planning

We'll present a campus planning proof case that Columbia College Chicago conducted during the pandemic, illustrating an evolved approach with tools and methods you can use to optimally prepare your institution for an unknown future.
Abstract: Institutions are expanding the purpose, process, and outcomes of campus master planning as a vehicle for shaping a resilient, agile, and equitable future in the wake of the pandemic. This session will detail how a comprehensive process, involving stakeholder engagement, facility assessment, analytics, financial scenarios, prioritization, and real estate optimization can position institutions for long-term success. We'll present a campus planning proof case that Columbia College Chicago conducted during the pandemic, illustrating an evolved approach with tools and methods you can use to optimally prepare your institution for an unknown future.

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Planning for Higher Education Journal

Published
August 13, 2020

De-Densifying Classrooms in the COVID-19 Era

A Scalable and Accurate Non-Linear Model Projects New Distanced Space Capacities

Columbia College Chicago’s “logistic growth model,” a mathematical model that is adaptable to highly variable campus spaces, gives priority to human-centered solutions while also promoting physical and emotional well-being. It can flexibly accommodate instructors, teaching assistants, and students for different pedagogical uses and within different types of facilities.

From Volume 48 Number 4 | July–September 2020

Abstract: Campus 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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