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Climate Investment Modeling and Scenario Forecasting

Active

State & Local

Response Deadline08/18/2026, 04:00:00 AM UTC

Contract Overview

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

AI Contract Overview

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The Climate Investment Modeling and Scenario Forecasting subcontract, issued by the agency 07A Gopif in Maine, focuses on the development of quantitative models to project the outcomes of resilience investments. The primary objective is to analyze various climate scenarios to determine financial returns and establish critical risk reduction metrics. This opportunity is categorized under NAICS code 541690 and was posted on July 21, 2026. Interested parties must submit their responses by the deadline of August 18, 2026. Further details and application processes are available through the provided electronic portal.

General Info

07A Gopif Maine subcontract for climate investment modeling and scenario forecasting risk analysis.

Agency

Maine → 07A GopifView Agency

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

ME, USA

Set-Aside

NONE

Documents

This scope was carved out of 202607115.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFP-07A-202607115 | Economic Analyses of Climate Risks and Resilience Investment

AI Contract Breakdown

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No contract breakdown available.

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Timeline

PostedJul 21

subcontract

Response DeadlineAug 18

Submission deadline

Response Deadline

08/18/2026, 04:00:00 AM UTCin 1 day

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Organization & Contact Information

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AgencyMaine → 07A Gopif

ContactsNo contacts available

OfficeN/A

Organization / Agency

Maine → 07A Gopif

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop quantitative models to project outcomes of resilience investments under various climate scenarios, including financial returns and risk reduction metrics.

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