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An Evidence-Based Approach on Academic Management in a School of Public Health Using SMAART Model

Ashish Joshi, Robyn Gertner, Lynn Roberts and Ayman El-Mohandes
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Ashish Joshi: Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY 10027, USA
Robyn Gertner: Academic and Student Affairs, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY 10027, USA
Lynn Roberts: Academic and Student Affairs, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY 10027, USA
Ayman El-Mohandes: Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY 10027, USA

Sustainability, 2021, vol. 13, issue 21, 1-18

Abstract: Data-driven modeling, action, and strategies have become popular, and the education community has witnessed increased interest in data-driven decision-making (DDDM). DDDM values and prioritizes decisions supported by high-quality, verifiable data that has been effectively processed and analyzed. The objective of our study is to describe the design, development, and implementation of a data-driven, evidence-based model of academic development in the context of CUNY Graduate School of Public Health and Health Policy (CUNY SPH) utilizing SMAART (Sustainability Multisector Accessible Affordable Reimbursable Tailored) model. The alignment of academic and student affairs within CUNY SPH brought with it several challenges. Defining roles and responsibilities across different student and academic affair units with a goal of collaborative leadership model and lack of meaningfulness were key challenges. It was important to listen to the experiences and recommendations of various individuals performing various functions in different capacities. A unified framework of key data indicators was needed to create a transparent and equitable model. An innovative interactive SMAART SPH dashboard designed, developed, and implemented to guide data-driven, evidence-based decision-making. Institutions can use a large amount of data from various sources to improve students’ learning experience, enhance research initiatives, support effective community outreach, and develop campus infrastructure to bring in sustainability.

Keywords: public health; leadership; organizational change; data-driven; evidence-based; academic management; informatics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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