One of the bottlenecks to massive engagement in large-system transformation is the overwhelming complexity that it entails. When we deem complexity “overwhelming,” what we really say is that we lack the frameworks, tools, and methods for embracing and absorbing it. It was for addressing this situation that George Pór developed, in the late ’90s, the concept of knowledge ecology.
- What are the design parameters of personal knowledge ecosystems that can serve as antidotes to information overload and support the inner game of freedom from overwhelm?
- What are the conditions to seamlessly connect AI-enhanced Dynamic Knowledge Repositories with personal knowledge ecosystems for augmenting collective intelligence and wisdom?
- How to ensure smooth, bi-directional flows between the mental models and knowledge web of an individual, supported by digital knowledge representation, and the distributed cognition of the collective(s) to which she or he belongs?
- What are the AI-enabled promises of faceted search in discovering salient patterns of meaning that connect in the growing body of conversations and literature about transition/emergence into a post-pandemic future?