Weather Advisory - Classes Cancelled, Liberal Leave Until 10:30AM Wednesday, Nov. 16, 2022

Weather Advisory - Classes Cancelled, Liberal Leave Until 10:30AM Wednesday, Nov. 16, 2022

Tuesday, November 15, 2022 - 20:38
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November 15, 2022

Due to expected severe weather in the region, all classes at SUNY Poly’s Utica and Albany campuses have been canceled until 10:30 a.m. for Wednesday, November 16, 2022. Currently, classes that are scheduled to take place after 10:30 a.m. will be held at their regularly scheduled time.

SUNY Poly administration is also implementing liberal leave until 10:30 a.m. for SUNY Poly employees at the Albany and Utica campuses, which means employees, with supervisory approval, who are performing non-immediate, non-essential functions, may leave early and/or take time off whereby employees will use their vacation, holiday, or personal paid time off accruals. If possible, non-essential employees are encouraged to work remotely for the day with supervisory approval but may also elect to request time off. Those non-essential employees unable to complete a remote assignment will not need to charge accruals.

What is liberal leave?
Liberal leave encourages employees to mitigate their own risk when traveling to and from work and is implemented at the discretion of administration for exceptional circumstances such as inclement weather or emergencies and only in cases where it is feasible for employees to take liberal leave based on duties (essential versus non-essential duties). Some employee functions are deemed essential (i.e. security, certain facilities and operational units, maintenance, etc.); therefore, staffing in some areas will be maintained as determined by management. For more information, please see the Essential Employee Policy located at: you are not sure if your position is essential, please contact your supervisor for clarification.

If an employee does not have vacation, holiday, or personal paid time off accruals, the administration will consult with SUNY Poly Human Resources and make a determination on a case-by-case basis.

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