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A one-day workshop designed for existing users of iThink software to develop advanced skills and utilize new features of version 9, with practical exercises and case studies.
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How to fill out whole systems modelling

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How to fill out Whole Systems Modelling

01
Identify the system's boundaries and objectives.
02
Gather relevant data and stakeholder input for the system.
03
Model the relationships and interactions between different components of the system.
04
Use simulation tools or software to visualize the system model.
05
Analyze the outcomes of various scenarios and adjust parameters as needed.
06
Validate the model through comparison with real-world data or expert feedback.
07
Document the process and findings for future reference.

Who needs Whole Systems Modelling?

01
Policy makers seeking to understand complex systems.
02
Businesses looking to optimize processes and strategies.
03
Environmental scientists assessing impacts of sustainability initiatives.
04
Healthcare professionals aiming to improve patient outcomes.
05
Urban planners focusing on community development and resource allocation.
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Whole Systems Modelling is a comprehensive approach that integrates various components of a system to understand and predict their interactions and behavior as a whole. It is often used in fields such as environmental science, engineering, and organizational management to simulate complex systems.
Entities involved in projects that impact environmental systems, infrastructure, or organizational workflows may be required to file Whole Systems Modelling, particularly if mandated by regulatory bodies or for specific funding requirements.
To fill out Whole Systems Modelling, one typically needs to gather relevant data on system components, establish the relationships between them, utilize modeling software or frameworks to simulate interactions, and document the findings in a structured format for analysis and reporting.
The purpose of Whole Systems Modelling is to gain a holistic understanding of a system's dynamics, identify key interactions, optimize resource use, and inform decision-making processes in order to enhance system performance and sustainability.
Information that must be reported on Whole Systems Modelling usually includes data on system components, interactions, modeling assumptions, simulation results, and any recommendations based on the analysis conducted.
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