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Longitudinal Analytics Development

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Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The contract focuses on developing advanced longitudinal analytics within the SPEAR platform to enhance long-term emergency response and recovery planning. This initiative aims to leverage time-series data to provide more effective and data-driven insights for managing emergencies over extended periods. The work falls under the NAICS code 541690, which pertains to other scientific and technical consulting services, indicating a specialized expertise in data analysis and strategic planning. Issued as a subcontract by the Department of Health and Human Services through the Omas Strategic Buying Center, the contract was posted in mid-June 2026. Although specific details such as performance location, point of contact, or set-aside status are not provided, the prime objective is clear: to support health-related emergency management through robust analytics capabilities, ensuring better preparedness and response outcomes using sophisticated data modeling techniques.

General Info

Develop advanced SPEAR platform analytics for improved long-term emergency response and recovery planning.

Agency

Department Of Health And Human Services → Omas Strategic Buying Center - HHS Mission

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

MD

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PostedJun 15

subcontract

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → Omas Strategic Buying Center - HHS Mission

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Health And Human Services → Omas Strategic Buying Center - HHS Mission

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop longitudinal analytics within the SPEAR platform to support long-term emergency response and recovery planning using time-series data.

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