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Ecological Simulation & Risk Modeling Consultant

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Contract Overview

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This subcontract opportunity is for an Ecological Simulation and Risk Modeling Consultant to support prime contractors on USGS Rocky Mountain CESU projects. The selected consultant will be responsible for developing scientific tools and simulation models, specifically focusing on habitat selection, population demographics, and Chronic Wasting Disease risk assessment. All work must be performed using advanced statistical and GIS software while adhering to DOI or FGDC geospatial data standards. The project deliverables include functional simulation models for various management scenarios and specialized risk assessment tools. This opportunity is associated with the US Geological Survey under the Department of the Interior, falling under NAICS code 541690. Interested parties should note the response deadline of December 2, 2026.

General Info

Ecological simulation and risk modeling consultancy for USGS projects due December 2, 2026.

Agency

Department Of The Interior → US Geological Survey

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of G27AS00038.

The full solicitation package (5 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Cooperative Agreement for affiliated Partner with Rocky Mountain Cooperative Ecosystem Studies Unit

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Timeline

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Organization & Contact Information

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AgencyDepartment Of The Interior → US Geological Survey
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of The Interior → US Geological Survey
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops scientific tools and simulation models for prime contractors on USGS Rocky Mountain CESU projects. Creates habitat selection models, population demographic models, and Chronic Wasting Disease (CWD) risk assessment tools using advanced statistical and GIS software. Adheres to FGDC or DOI geospatial data standards. Delivers functional habitat selection models, CWD risk assessment tools, and simulation models for management scenarios.

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