OMB Individually Reported

DamWatch automated leadership reporting

Low riskExact public inventory row

Description

Providing leadership with information about impacts to dams (high hazard and other dams) after storm events or other natural disaster events is time consuming and can delay leaders receiving needed information for decision making

Detailed example

Automated Report to National Resources Conservation Service (NRCS) Leadership on the status of dams across the U.S. after storm events or natural disasters

AI / analytics pattern

Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

Improves speed and efficiency of government decision-making to protect life and property in disaster situations

Controls / human review

ATO: Not reported; PIA: Not published