On the design of computer-based models for integrated environmental science

Area of Science:

• Environmental science, focusing on the integration of social and natural systems.

Background:

• Current environmental science research emphasizes integrating social and natural processes for better management.
• Freshwater resource management is a key area highlighting the need for science-policy integration.
• Designing computer models for integrated environmental science presents unique challenges.

Purpose of the Study:

• To critically synthesize ideas on the challenges of designing computer-based models for integrated environmental science.
• To interpret these ideas into design requirements for models supporting policy and planning.
• To provide examples from freshwater resource management.

Main Methods:

• Critical synthesis of existing ideas from research modeling, decision-making processes, and socio-technical design.
• Interpretation of synthesized ideas into practical design requirements for computer models.
• Illustrative examples from freshwater resource management.

Main Results:

• Computer-based diagramming and modeling tools facilitate dialogue but lack simulation capabilities.
• Component-based models and frameworks offer simulation functionality for complex decision contexts.
• Significant technical and socio-technical challenges hinder the practical application of these models.

Conclusions:

• Effective computer models for integrated environmental science require a deeper understanding of decision-making processes and contexts.
• Component-based modeling frameworks show promise for supporting complex environmental management.
• Overcoming technical and socio-technical hurdles is essential for realizing the potential of these tools in policy and planning.