Formula Layer

Committee Model Design

This demo keeps one canonical DEAP formula set and compares strategy choices on top of it. The goal is transparency, not hidden parameter tuning.

Go To Scenario Lab

What The Model Freezes

These definitions stay fixed so the website remains aligned with the supplied dataset.

Observed Facts

Hub, public stage, evidence summary, source references, and public funding facts where available.

Committee Assumptions

Requested, minimum viable, and optimal budgets, screening passes, criterion scores, and milestone inputs.

Calculated Outputs

Quality, milestone, cost-effectiveness, need, frontier, and capped allocation scenarios.

Formula Summary

Default preset: BioCity Committee Baseline · budget GBP 130,000

Quality Score

0.20*StrategicFit + 0.15*Team + 0.15*Feasibility + 0.10*Market + 0.10*Evidence + 0.10*MilestoneReadiness + 0.10*CapitalEfficiency + 0.10*FrontierPotential - 0.10*Risk

Milestone Score

0.35*MilestoneImportance + 0.25*MilestoneReadinessScore + 0.20*MilestoneConfidence + 0.20*UnlockValue

Need And Frontier

Need = MinViableBudget * (MilestoneReadiness/10) * (MilestoneConfidence/10) * (StrategicFit/10)

Frontier = 0.35*FrontierPotential + 0.20*StrategicFit + 0.15*Team + 0.15*Evidence + 0.15*Feasibility

Hybrid Allocation

Hybrid = 0.40*NeedNorm + 0.35*QualityNorm + 0.25*FrontierNorm

Allocation = TotalBudget * Hybrid

Then cap at optimal_budget_assumption_gbp and redistribute the remainder across uncapped projects.