Research-funding impact evaluation
ONEMODEL is being used to assess the impacts associated with CIHR-funded research—an attribution problem where funding decisions, research activity, downstream outcomes, and time are connected.
Use one connected model to test decisions that cross organizational boundaries.
What effects are associated with funded research?
Move beyond immediate research outputs to evaluate downstream pathways and longer-run consequences.
How should impacts be attributed?
Use an explicit system model and counterfactual rather than assuming every observed outcome was caused by the grant.
When do impacts emerge?
Represent the lags and sequencing between funding, research activity, translation, and downstream outcomes.
The value comes from keeping the system together.
Evaluation structure
A research-funding intervention enters a broader system.
- Funding decisions Programs and grants create specific changes relative to a baseline.
- Research activity The platform can represent pathways through which funded activity develops and propagates.
Counterfactual logic
Impact requires a credible comparison.
- With funding Simulate the system under the observed or proposed funding pathway.
- Without or alternative funding Compare against a defined counterfactual rather than a simple historical trend.
Multiple outcomes
The value of research is not captured by one metric.
- Direct outcomes Research activity, capacity, outputs, and associated economic effects.
- Downstream outcomes Longer-run health, social, institutional, or economic consequences where supported by evidence.
Governance and evidence
Evaluation remains auditable.
- Data integration Inputs from multiple sources can be governed and reconciled.
- Traceable assumptions Model structure and scenario choices remain visible through the evidence chain.
A production problem, not a toy example.
A different use of simulation: evaluating investment in knowledge.
This application shows that ONEMODEL is not limited to forecasting economies or infrastructure. It can also be used for evaluation when impacts emerge through complex pathways, attribution is difficult, and the timing of outcomes matters.
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.