Whole-of-government planning
A shared population and economic planning platform supporting evidence-informed policy, programs, investments, and long-term financial planning across the provincial government.
Use one connected model to test decisions that cross organizational boundaries.
What happens if population growth changes sharply?
Follow the consequences through housing, workforce, public services, capital needs, and departmental finances.
Which departments feel a policy change—and when?
Trace how one decision changes conditions elsewhere instead of optimizing one portfolio in isolation.
How do investments alter future operating pressures?
Connect capital choices to service capacity, population demand, revenues, and expenses over time.
The value comes from keeping the system together.
Whole-of-government view
The same underlying population-economic system can support different departmental questions.
- Population and economy Shared demographic and economic drivers reduce inconsistent assumptions across departments.
- Departments Revenue, expense, program, and service pressures can respond to the same evolving baseline.
Long-term financial planning
Financial consequences are linked to the system that generates them.
- Revenues and expenses Departmental finances respond to population, households, businesses, and dwellings.
- Investment Capital and program choices can be compared under alternative scenarios.
Scenario planning
Policy assumptions can be changed without rebuilding the analytical foundation.
- Population paths Test migration, growth, and demographic changes.
- Policy paths Compare user-adjustable policy and market scenarios through the same system.
Evidence integration
The platform combines many sources inside a coherent analytical model.
- Governed inputs Provincial and national data can be reconciled to common definitions.
- Traceability Scenario results remain connected to the assumptions and data that produced them.
A production problem, not a toy example.
A public example of cross-government digital-twin use.
PEI’s published Population Framework describes government departments actively refining the CANCEA platform to plan, analyze, and reform future decisions, and identifies applications spanning housing, labour, land use, community well-being, government services, and capital planning.
When the decision spans systems, the model needs to span them too.
ONEMODEL keeps assumptions, data, system relationships, scenarios, execution, and results inside one traceable analytical chain.