The AI team take a deep dive into a booklet by Niels Malotaux which details the TimeLine technique, a project management method emphasizing iterative, small changes to improve project outcomes. It advocates for defining a clear project goal, prioritizing tasks based on value, and using just-enough estimation with frequent calibration. The TimeLine approach addresses potential project delays proactively, offering strategies to save time and avoid common pitfalls like adding personnel to a late project. The … Continue reading →

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The AI team take a deep dive into Joseph Kasser’s application of systems thinking to editing his father and teacher’s papers. His father, Moses Jakob Kasser, was a German-Jewish rabbi who served in the British Army’s 87th Company of the Alien Pioneer Corps during World War II. The book recounts Moses’s experiences as an unofficial chaplain to his unit, detailing his efforts to maintain Jewish religious life amidst the challenges of wartime service. It includes sermons, artwork, correspondence, … Continue reading →

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This podcast takes a deep dive into a case study presented online to a Serverless Toronto meeting on September 16, 2024. The autobiographical details Dr Kasser’s application of systems thinking to improve postgraduate systems and software engineering education. He describes eight systems thinking tools he developed and employed to address challenges in curriculum design and delivery, including benchmarking other universities’ programs. The case study tracks his iterative approach, evolving from traditional lectures to blended and … Continue reading →

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The AI team take a deep dive into Dr Kasser’s YouTube presentation which explores the Ten Commandments from a systems thinking perspective. The author questions the exact number of commandments, examining different interpretations of the biblical text in Exodus and Deuteronomy. A structural analysis is performed, breaking down each commandment into its components. Quantitative analysis is also applied, counting the commandments based on various criteria. Ultimately, the paper raises questions about the interpretation and application of the Ten Commandments … Continue reading →

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The AI team take a deep dive into Donella H. Meadows’ Thinking in Systems: A Primer. This is a posthumously published book that introduces systems thinking concepts to a broad audience. The book uses clear language and diagrams to explain system dynamics, including feedback loops, stocks and flows, and delays. It explores common system structures and behaviors, such as growth limits and policy resistance, offering insights into how to manage and redesign systems effectively. Meadows emphasizes … Continue reading →

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The AI team take a deep dive into Tom Gilb’s presentation to the BCS in July 2024 on AI quality which advocates for a multidimensional approach to evaluating AI systems, moving beyond vague descriptions. He argues that current AI models are defective due to inherent instability and a lack of transparency. Gilb proposes using quantifiable metrics for qualities like transparency and security, incorporating a stakeholder model for a more comprehensive understanding. The presentation emphasizes the need for measurable standards to assess AI systems effectively, contrasting Large … Continue reading →

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The AI team take a deep dive into a book by Dr Howard Eisner which examines the attributes of highly successful systems engineers. It profiles prominent figures like Leonardo da Vinci, Isaac Newton, and Albert Einstein, analyzing their traits and contributions. The author then explores seven key attributes—synthesizer, listener, curious/systems thinker, manager/leader, expert (in systems engineering processes and domain knowledge), and perseverer—through case studies and analysis of various successful systems engineers. The text also incorporates … Continue reading →

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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 →

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The AI team take a deep dive into Prof Derek Hitchins’ book “putting systems to work”. The book presents a comprehensive approach to systems engineering, contrasting traditional “closed-system” methodologies with a novel “open-system” framework. The open-system approach emphasizes adaptability, cohesion, and the importance of human elements within systems. The text explores various methods for analyzing and designing complex systems, including soft systems methodology, cognitive mapping, and the use of generic reference models. A core concept … Continue reading →

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The AI team take a deep dive into an excerpt from Tom Gilb’s updated book on stakeholder engineering, focusing on a method for systematically identifying, analyzing, and managing stakeholders and their requirements throughout a system’s lifecycle. The author emphasizes a unique definition of “stakeholder,” including non-human entities, and advocates for continuous stakeholder discovery and continuous analysis of their evolving needs. The text details methods for eliciting and prioritizing stakeholder requirements, utilizing quantitative techniques and tools … Continue reading →

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