DARPAs CriticalMAAS [2024 INV#WO0000000108419; WO0000000096527]
Description
Identify patterns in the data, isolate those that correlate with known mineral deposits, and integrate these with other geospatial layers to generate a predictive map for guiding future mineral exploration.
Detailed example
Predictive maps
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
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Assessment of the domestic availability of critical minerals. Insight into the U.S. critical mineral supply landscape. Evaluation of national critical mineral supply chains. Analysis of domestic sources and supply of critical minerals.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Mineral Resource Data System, US MIN, National Map database