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OMB Individually Reported

Parsing large quantities of text data [2024 INV#WO0000000113692]

Low riskExact public inventory row

Description

The goal is to assess how news sources discuss water events, how this relates to water availability and vulnerability, and how these patterns vary over time/space.

Detailed example

identify noteworthy water events in the Upper Colorado River Basin from news articles

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

time savings, without AI this would require reading through thousands of news articles to extract relevant information including mention of a specific the hazard (e.g., drought, flood, HABs), geographic region, organization, and other topical keywords.

Controls / human review

ATO: No; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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