Blog Archives

The AI team takes a deep dive into “Natureology” hallucination which occurred when the AI was asked to define a non-existent term (a typo for “Naturology”) and, rather than simply seeking clarification, invented a complete philosophical and academic framework for the word. Drawing on Joseph Kasser’s nine Holistic Thinking Perspectives (HTPs), the AI defined this imaginary field as the “integrative study of the natural world” and detailed how it would function across every perspective, such … Continue reading →

The AI team take a deep dive into a paper presented at the 11th International Conference on System of Systems Engineering, Kongsberg, Norway, in 2016 which examines systems engineering principles through a case study of a “Widget” system. It explores the iterative nature of problem-solving within the system lifecycle, illustrating how solutions to initial problems can create new challenges. The author highlights the interplay between “what’s” (requirements) and “how’s” (solutions) and how unforeseen issues, such as unexpected vibrations … Continue reading →

The AI takes a deep dive into a Case Study which introduces temporal analysis as a superior method for evaluating nonprofit effectiveness compared to traditional single-year snapshots. Using the INCOSE Foundation as a detailed case study, the text illustrates how longitudinal data can expose governance red flags, such as inconsistent state registrations and systematic bylaw violations. While the organization maintains high ratings from automated evaluators like Charity Navigator, the author reveals a paradox where efficiency metrics mask stagnant grantmaking and excessive asset … Continue reading →

The AI take a deep dive into “The systems thinker’s toolbox”, a book that offers over eighty tools and methodologies for managing complexity. These tools encompass various approaches, including Checkland’s Soft Systems Methodology (SSM), the Concept of Operations (CONOPS) document, and mathematical techniques. The materials also explore paradigms for handling complexity, contrasting non-systems and systems approaches, and provide templates for document creation, idea generation, and problem formulation. Finally, the text presents the “Zone of Ambiguity,” a novel … Continue reading →

The AI team take a deep dive into Barry Richmond’s The ‘Thinking’ in Systems Thinking which introduces seven essential skills for effective systems thinking. The text explains these skills—Dynamic Thinking, System-as-Cause Thinking, Forest Thinking, Operational Thinking, Closed-Loop Thinking, Quantitative Thinking, and Scientific Thinking—providing detailed definitions and examples of each. It emphasizes the interconnectedness of these skills and their application in building and using models to understand complex systems. The book advocates for a holistic approach, moving beyond simplistic cause-and-effect thinking to … Continue reading →