Describes a framework for modelling in a regulatory environment founded on sound scientific and knowledge management concepts. It includes 1) demand (isue-driven) and supply (model driven) approaches to modelling, 2) balancing modeler, manager, and user perspectives, 3) documentation to demonstrate due diligence, and a 700-term glossary.

1. ModSimWorld Montreal, Quebec June 8-9, 2009 A Modelling Framework: Supporting Evidence-Based Decisions

5. What is a Framework? “ Structural outline of the components of an organization, system, or process and the relationships among them.” Understanding Knowledge Services NRCan (2006) Concepts

8. Different Perspectives Concepts What developers proposed What managers funded What stakeholders wanted What users needed

9. Supply & Demand Concepts Supply : I have a model that solves your problem. Demand : I have a problem that needs a model.

10. Modelling System Concepts External Models Develop Nature, Society Internal Models Use Manage Lost Models Share Preserve Knowledge Management

12. Systems Hierarchy Concepts Data Models Decision Support Information Knowledge Management Management Mandate Business Policies Processes

14. Information System Audience Use Media Concepts Outputs Acquisition Processing Storage Knowledge Organization Society Environment Events Economy Channels Access Search Retrieval Interface Processing Database Inputs Interface System Data Model Outputs Interoperability Integration Availability Utility

18. Decision Guide - Stages Guide Design Acquire Data Generate Knowledge Approach Out Evaluation Issue Start: ( Demand ) Implementation Outputs Conclusion End Development (Modeller) ( Manager ) ( User ) D1 D2 3 Applicability S2 Model Start ( Supply ) identification S1 5 7 6 Establishment 4 ( Manager ) (All)

19. Decision Guide Phases Guide Issue Model Demand Supply Project End

20. Supply & Demand Guide Start (use) Demand-driven backward chaining, closed question Model Supply-driven forward chaining, open question Start (model) Uses

21. Demand Phase Guide Issue D1 . Approach D2 . Design Development Acquire Data Generate Knowledge Out

22. Guide Approach Stage Issue Initial Screening Problem Definition Suitability Knowledge Evaluation Data Availability Design Recurrence Importance Problem space Existence Business Function Intended use Time available Situation Needs Existing Gap Needs Attributes Accessibility Processing Continue Continue Continue Continue Continue Below threshold Can’t define Unsuitable Excess gap Inadequate Generate ? Acquire ? Yes Yes Out No No D1.1 D1.2 D1.3 D1.4 D1.5

24. Supply Phase Guide Development Model S1. Identification S2. Applicability Evaluation Conclusion

25. Applicability Stage Guide Existing Model Knowledge base Suitability Evaluation Specification criteria (4) Knowledge criteria (3) Business line Function Development S2.2 S2.3 S2.4 Identification Search Description S1 modify Data Availability Data criteria (5) Data Acquisition inaccessible Conclusion unsuitable unjustified Specifications S2.1 Development criteria (3) Development S2.5

26. Project Phase Guide End Design Applicability 4. Development 5. Evaluation 6. Implementation 7. Project Conclusion Out 3. Project Establishment Situation

27. Development Stage Guide Project Establishment Hierarchy Relationships Indicators Review Logic Computation Debugging Review Attributes Consistency Review Uncertainty Representation Review Conceptualization Construction Evaluation Verification Validation Inventory exit exit exit exit 4.2 4.3 4.4 4.5 continue continue continue continue Interaction Awareness Understanding Consensus 4.1

30. Sample Definition Model: Abstract and simplified construct or representation of reality in the form of a pattern, description, or definition that shows the essential structure, relationships, and workings of a concept, process, or system. (see modelling approach , function, modelling methods, process, relationship, representation, system) Glossary