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Predictive Modeling with Python (Open-Source Tools)

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International

Contract Overview

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

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The contract seeks the development and application of open-source predictive models using Python to enhance emergency management and response capabilities. The work involves end-to-end tasks including sourcing relevant data, training and validating predictive models, and integrating the finalized models into actionable deliverables that support decision-making during critical incidents. All models must be built using publicly available tools and libraries, ensuring transparency, reproducibility, and long-term maintainability. The project is classified under NAICS code 541620 and is structured as a subcontract, with performance expected to take place across Canada. The solicitation was posted on July 17, 2026, and responses are due by August 17, 2026, with the Government of Canada through the Department of Transport acting as the contracting authority. While no specific set-aside provisions or point of contact are listed, the emphasis is on leveraging open-source innovation to improve public safety outcomes.

General Info

Develop open-source Python predictive models for emergency response across Canada, using public tools, for Government of Canada.

Agency

Government of Canada → Department of TransportView Agency

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

Canada, CAN

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

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Response Deadline

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Organization & Contact Information

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AgencyGovernment of Canada → Department of Transport
ContactsNo contacts available
OfficeN/A
Organization / Agency
Government of Canada → Department of Transport
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Office AddressN/A
ContactsNo contact information available

Full Description

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Develop and apply open-source predictive models using Python for emergency management and response, including data sourcing, model training, validation, and integration into deliverables.

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