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Point of view paper

A data-driven, dynamic

approach to help manage

risk for campuses

September 2020

Allen Sheldon, Managing Director, Advisory

KPMG LLP

William Kassler, Chief Medical Officer, Government Health & Human Services

IBM Watson Health

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KPMG and IBM Alliance 2

A data-driven, dynamic approach to help manage risk for campuses

As higher education institutions navigate this period of disruption, insights from data can help minimize risk and manage campus decisions.

In the United States, more than 16 million college students were expected to be enrolled in about 4,000 higher education institutions in the Fall of 2020. When considering the organizational and individual factors these numbers represent against the COVID-19 pandemic, campus planning can be an incredibly complex endeavor requiring situational awareness and continuous adaptation to rapidly changing science, epidemiology and resulting policies and procedures – at the organizational, community, state and federal levels.

We’ve seen a variety of approaches to this unpredictable Fall semester as colleges and universities

considered when and how to open their campuses – and stay open – with health and safety top of mind. It became clear that a dynamic, multi-model plan was needed with the executional agility to pivot quickly. Even universities operating virtually are formulating adaptable plans for future semesters.

Universities are now looking for ways to manage various risks and operational challenges associated with opening, closing, or reopening physical locations. For example:

− Ensuring quality educational experiences that foster student success

− Enabling equitable access, particularly amongst low-income student populations with social needs (especially housing- and food-insecure populations) and those who may not have the resources to fully engage in an online environment

− Evaluating opportunities to return to or keep populations on campus physically, within the constraints of the capacity of the local community for testing and contact tracing

− Accessing medical/clinical, technological, and other professionals to surface insights that can help formulate the various alternatives for making and executing on decisions about campus operations.

1 Source: National Center for Education Statistics. website Undergraduate enrollment section, June 2020. 1

Source: National Center for Education Statistics. Table 105.50. Number of educational institutions, by level and control of institution: selected years, 1980-81 through 2017-18 (June 2020).

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10 considerations when making dynamic campus plans and decisions

Regardless of which model a university is operating in today, a key objective going forward is to avoid the unprecedented disruption experienced in March 2020. In whatever way a university operates at present, some or all of the considerations listed below should be addressed when navigating the complexity in which the university might need to operate now - and in the future: 1. Communication – institutions must prepare people, including students (and parents), faculty

and staff, for new expectations and responsibilities on campus.

2. Protect privacy – It is imperative that universities protect sensitive health information of students, faculty and employees.

3. Comply with regulations – Work, health, and safety laws change frequently to help institutions reduce risks.

4. Track COVID infection trends – Monitoring local infection rates in the community and within the campus population can help universities understand how the virus is affecting their

communities and make more informed local decisions.

5. Monitor symptoms – Being able to regularly gather symptoms with reduced effort can help universities know more about the populations they are working to protect.

6. Slow the spread – By working with medical advisors universities can identify effective methods to mitigate the spread of infection. Considerations may include contact tracing, interviewing infected individuals, identifying any exposures, and placing exposed individuals in dedicated quarantine spaces on campus.

7. Coordinate programs and resources – Connecting infected and exposed individuals to on-campus resources that address their needs such as meal delivery, telehealth and more, can help them safely self-isolate or quarantine.

8. Manage change – Insights to ongoing conditions can help universities determine when a change in course is required.

9. Optimize resources - as they reinvent themselves, universities can optimize roles and processes, maximizing resources at a critical time.

10. Scale technology as needed – Universities must be able to shift to remote learning as needed. Having technology that can scale without breaking is critical.

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KPMG and IBM Alliance 4

Make a multiple-scenario plan, execute with agility

We hear from many universities that they are striving for resilience to avoid drastic steps. But in this complex and fluid environment, it is difficult and overwhelming to address multiple requirements –

such as daily check ins, contact tracing, risk assessment questionnaires, status for dining halls, push notifications, coordinating care resources (such as medical care, mental health or financial support) –

all at once.

Prioritize the ability to be agile and dynamic: that is the key to a successful path forward. Design a holistic plan that encompasses multiple scenarios and make data-driven decisions about which scenario to execute and when. Make the most of limited capabilities and valuable resources by preparing for shifts and building adaptability into your plan. Ensure access to the skills, knowledge and specialists needed to design and execute the plans.

IBM and KPMG are working together, standing ready in support of universities with a solution that combines industry and professional experience with technology skills and leadership. The aim is to help higher education organizations to manage risk and enable data-driven decisions for these mission critical initiatives.

Learn more at ibm.biz/ibm_kpmg_university

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Some or all of the services described herein may not be permissible for KPMG audit clients and their affiliates or related entities. KPMG LLP does not provide legal advice. This content outlines initial considerations meriting further consultation with life sciences organizations, healthcare organizations, clinicians, and legal advisors to explore feasibility and risks

The KPMG name and logo are registered trademarks or trademarks of KPMG International.

© Copyright IBM Corporation 2020. IBM Corporation, IBM Watson, New Orchard Road, Armonk, NY 10504. Produced in the United States of America, November 2019. IBM, the IBM logo, ibm.com, IBM Watson, Watson, and Watson Health are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at

www.ibm.com/legal/copytrade.shtml. This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates. The performance data and client examples cited are presented for illustrative purposes only. Actual performance results may vary depending on specific configurations and operating conditions. THE INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS” WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT.

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