Updated August 2026 · Verified against Mining Innovation Commercialization Accelerator (MICA) guidelines
✨ New Program ✓ First-Timer Friendly Not Applicable
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MICA Monte Carlo Simulation Planning Challenge

Mining Innovation Commercialization Accelerator (MICA)
Maximum Funding
No award amount stated — solution-sourcing challenge, not a...
Submissions close October 1, 2026
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Difficulty
Moderate
Payment
Not Applicable
Trend
New Program
First-Timers
Friendly ✓
Co-Funding
Varies
MICA Monte Carlo Simulation Planning Challenge provides up to No award amount stated — solution-sourcing challenge, not a funding call. MICA open challenge seeking vendors or experts to deliver Monte Carlo-based planning for a member processing operation. Submissions close October 1, 2026.
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Eligibility & Details

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Program Description

MICA open challenge seeking vendors or experts to deliver Monte Carlo-based planning for a member processing operation. Not a conventional fixed-amount grant.

Eligibility Requirements

  • Be a simulation solution provider or vendor/expert capable of delivering Monte Carlo-based planning
  • Propose a solution for a MICA member processing operation
  • Focus on high-level statistical probability analysis and macro-constraint identification
  • Note this is a solution-sourcing challenge, not a conventional grant with a fixed amount
  • Create a MICA account to submit - the challenge page states a basic account is sufficient for this challenge response
  • Respond to MICA's stated questions for experts on method practicality, alternative statistical-risk-modelling platforms, and the level of detail required
  • Stay inside the stated boundary: not a real-time system or a full digital twin, and not intended to track every piece of equipment or replicate every sensor point
Provinces
Industries
Technology Natural Resources
Business Stage
Startup Growth Established

Quick Assessment

Difficulty
Moderate
Competition
Moderate
First-Timer
Friendly

Funding Details

Amount
No award amount stated — solution-sourcing challenge, not a funding call
Type
Program
Level
Federal
Deadline
Submissions close October 1, 2026

Program Scorecard

Competition, effort, and approval at a glance

Competition
Moderate
Deadline
Oct 1, 2026
Approval
Varies
Accessibility
--/5
Competition
--/5
Approval Rate
--%
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How to Win

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Insider Tip

This is a solution-sourcing challenge rather than a fixed-amount grant; focus your proposal on high-level statistical probability analysis and macro-constraint identification, not a real-time digital twin.

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Application Playbook

Step-by-step process, required documents, and expenses

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Application Steps

1 Review the use case Read the challenge overview and confirm your organization delivers risk-based modelling capability for a processing operation.

Required Documents 4

Technical proposal
Monte Carlo simulation methodology

Intake Periods

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How MICA Monte Carlo Simulation Planning Chall... Compares

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Frequently Asked Questions

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Is this a grant with money attached to it?
No. MICA describes it as sourcing Monte Carlo simulation solutions for a member processing operation. No award amount, fee or contract value is stated anywhere on the challenge page.
When do submissions close for the Monte Carlo challenge?
Submissions close October 1, 2026. The challenge opened June 9, 2026, so the window runs just under four months.
Do I need a paid MICA membership to respond?
The challenge page states you need to create an account to submit and that a basic account is sufficient for this challenge response. MICA's general FAQ notes that its separate technical-project call-for-proposals process is members-only.
What exactly is MICA asking vendors to build?
A two-step approach: converting Piping and Instrumentation Diagrams into a dynamic digital format that maps plant logic and flow, then layering Monte Carlo simulation on top to introduce variability and expose systemic bottlenecks.
Does MICA want a real-time digital twin of the plant?
No. MICA states the solution is not a real-time system or full digital twin and is not intended to track every piece of equipment or replicate every sensor point - it is built for statistical probability analysis and macro-constraint identification.

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