A framework for extending co-creative communication models to sustainability research.

Area of Science:

• Sustainability Science
• Communication Studies
• Artificial Intelligence
• Systems Theory

Background:

• Conflicting objectives within UN Sustainable Development Goals (SDGs) hinder effective implementation.
• Existing co-creative communication (CCC) frameworks are not directly applicable to sustainability research.
• A unified methodology is needed to address diverse sustainability issues across contexts.

Purpose of the Study:

• To propose a novel framework for applying Constructive Approaches to Co-creative Communication (CCC) to sustainability research.
• To enable formalized definitions of sustainability from a communication perspective.
• To bridge the gap between CCC methodologies and sustainability studies.

Main Methods:

• Utilized systems theory and artificial intelligence (AI) methodologies.
• Employed computational/symbolic modeling and formal methods.
• Focused on the social function of co-creative communication and its interaction with innovation and system sustainability.

Main Results:

• Developed a framework enabling direct application of CCC models to sustainability research.
• Facilitated the establishment of discipline-specific sustainability definitions.
• Laid groundwork for future sustainability studies integrating CCC and AI insights.

Conclusions:

• The proposed framework successfully integrates CCC achievements into sustainability research.
• AI-driven computational creativity research can enhance understanding and application of sustainability mechanisms.
• Co-creative communication plays a vital functional role in societal sustainability, offering new perspectives on evolutionary adaptation.