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This Government Contract opportunity from Department Of The Interior was posted on May 19, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Spatiotemporal Data Science & Advanced Analytics Development

Closed
Federal

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This contract involves the design and implementation of advanced machine learning and anomaly detection models specifically targeted at spatiotemporal data to identify illicit border activity. The project aims to leverage cutting-edge data science and analytics techniques to enhance the detection and understanding of patterns related to unauthorized border crossings or other suspicious activities over time and geographic space. It falls under the NAICS code 541690, which relates to scientific and technical consulting services. Issued by the Department of the Interior through its Ibc Acquisition Services Directorate, this subcontract opportunity was posted on May 19, 2026, with a response deadline of June 3, 2026. While specific location details for the place of performance are not provided, the contract emphasizes the application of specialized analytics to improve border security efforts. The work will involve utilizing spatiotemporal data sets and creating robust models to offer actionable insights and early warnings regarding illegal activities along border areas.

General Info

Design and implement spatiotemporal machine learning models for detecting illicit border activities.

Agency

Department Of The Interior → Ibc Acq Svcs Directorate (00004)

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

VA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of The Interior → Ibc Acq Svcs Directorate (00004)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of The Interior → Ibc Acq Svcs Directorate (00004)
Office AddressN/A
ContactsNo contact information available

Full Description

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Design and implementation of machine learning and anomaly detection models for spatiotemporal data to identify illicit border activity.