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Fiscal Year (FY) 2020 Emergency Management Baseline Assessment Grant (EMBAG)

Sector: Government • Location: United States of America

Source: Grants.gov

Project
Archived

The purpose of the FY 2020 EMBAG is to help ensure that jurisdictions (state, tribal, territorial, and local communities) have accredited emergency management programs and certified emergency management professionals in place in advance of an incident. To achieve this purpose, the EMBAG Program supports voluntary national-level standards and peer review assessment processes that jurisdictions can

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The project “Fiscal Year (FY) 2020 Emergency Management Baseline Assessment Grant (EMBAG)” is an infrastructure initiative in the Government sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Participants

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archived

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Description

Description

The purpose of the FY 2020 EMBAG is to help ensure that jurisdictions (state, tribal, territorial, and local communities) have accredited emergency management programs and certified emergency management professionals in place in advance of an incident. To achieve this purpose, the EMBAG Program supports voluntary national-level standards and peer review assessment processes that jurisdictions can use to identify the capacity and shortfalls of their emergency management programs and professionals and develop a path to compliance. Specifically, the EMBAG supports: The development, maintenance, update, revision, and enhancement of voluntary national-level standards and peer review assessment processes for emergency preparedness and response that are driven, established, validated, and revised through consensus; Related efforts to develop or update national-level accreditation for these standards; and The assessment of select state, local, tribal, and territorial emergency management programs and professionals against these national-level standards. For more details, please refer to the current program notice of funding opportunity on grants.gov.

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Source

Source reliability

High

Data quality score

100%

Source

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URL

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More Details

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