discuss the following:

1. Methods used for development

2. Framework or tools uses for development

3. Examples of use

4. Transferability

5. Limitations

 Paper should be approximately 500 words and demonstrate proper APA formatting and style. Include a cover page with your name, assignment title, and page number in the running header of each page. Your paper should include a minimum of four references from your unit readings and assigned research. Use meaningful section headings to clarify the organization and readability of your paper 

ITS 832

CHAPTER 6

Features andAdded Value of Simulation
Models UsingDifferent Modelling

Approaches Supporting Policy-Making
Information Technology in a Global Economy

INTRODUCTION

• Simulation Models in policy-making – foundations

• eGovPoliNet
• International multidisciplinary policy community in ICT

• Selected Modeling approaches
• VirSim – Pandemic policy

• microSim – Swedish population

• MEL-C – Early Life-course

• Ocopomo’s Kosice Case – Energy policy

• SKIN – Dynamic systems component interaction

FOUNDATIONS OF SIMULATION

MODELING
• Simulation model

• Smaller, less detailed, less complex (or all)
• Computer software

• Approximates real-world behavior
• Benefits

• Easier, simpler than monitoring reality
• Possibly the only feasible way to “playout” a scenario

• Approaches discussed
• System dynamics
• Agent-based modeling (ABM)
• Micro-simulation

STEPS IN DEVELOPING SIMULATION

MODELS

SIMULATION MODELSEXAMINED

VIRSIM

• A Model to Support Pandemic Policy-Making
• Simulates the spread of pandemic influenza

• Goal

• Determine the optimal time and duration of school closings to affect

influenza

spread

• System dynamicsmodel
• Separates population into 3 segments

• Younger than 20 years old
• 20 – 59 years old
• 60 years old and older

• No environmental features considered
• Only input data for Sweden

MICROSIM

• Micro-simulation Model
• Modeling the Swedish Population

• Goal
• Determine how multiple behavior features affect influenza

spread

• Micro-simulation model

• More granular than VirSim

• Focused only on Sweden

• Robustfor intended population

MEL-C
• Modeling the EarlyLife-Course

• Knowledge-based inquiry tool With Intervention
modeling (KIWI)

• Goal

• Identify social development milestones in early life
that most affect later outcomes

• Health, nutrition, education, living conditions, etc.

• Micro-simulation model

• Generic applicability

• Limited by range of options

• Evidence-based

• Not very flexible when considering untested
approaches

OCOPOMO’S KOSICECASE

• Kosice self-governing region energy policy simulation
• Goal

• Develop better energypolicy
• And measure policy effectiveness

• House insulation and renewable energy sources

• ABM model
• Modelis geographically anchored

• Difficult to apply to other regions
• Many geographicfeatures

• Stakeholder engagement iskey

SKIN

• Simulating Knowledge Dynamics in Innovation Networks
• Goal

• Improve innovation throughinteractions
• ABM model
• Based on general market model
• Agents areboth

• Sellers (providers)
• Buyers (consumers)

• Agentsconsider dynamic interaction
• Modify behavior to improve innovation
• i.e. sell more or buy better

SUMMARY

• Simulations allow multiple models to be investigated
• Without real-worldconsequences

• Examined five models built on three approaches
• VirSim – System dynamics

• MicroSim -Microsimulation

• MEL-C – Microsimulation

• Ocopomo’s Kosice Case -ABM

• SKIN – ABM

• Each approach has advantages and limitations