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Leveraging Dynamic Business Models for Enterprise Architecture

In the session Leveraging Dynamic Business Models for Enterprise Architecture, part of the System Dynamics for Business Innovation series led by Kim Warren, the conversation centered on enriching Enterprise Architectures (EAs) through the integration of quantitative Dynamic Business Models (DBMs). This approach significantly amplifies the efficacy and reliability of IT strategies and planning.

Course

Dynamic Business Modelling

How to build powerful living models of plans or issues in half the time of using spreadsheets

Key Insights:

  1. Foundation of Enterprise Architectures (EAs):
    • EAs provide a structural blueprint for IT strategy development, focusing on the organization’s processes and how these support its operational goals.
    • The webinar highlighted the importance of understanding these frameworks for implementing effective IT systems aligned with business objectives.
  2. Role of Dynamic Business Models (DBMs):
    • DBMs contribute to a more robust EA by introducing quantitative analyses that validate and enhance the traditionally qualitative aspects of EA.
    • By modeling business dynamics quantitatively, DBMs facilitate more accurate IT system alignment with strategic business goals, improving resource allocation and change management.
  3. Synergies between EAs and DBMs:
    • The webinar illustrated how DBMs strengthen EAs by providing a rigorous analytical foundation that accelerates and refines the architecture building process.
    • These models help predict the impact of IT strategies on business performance, making implementation more effective.
  4. Applications and Validation:
    • DBMs offer a structured approach to testing and validating IT strategies before full-scale implementation, ensuring that IT plans are both effective and aligned with overarching business strategies.
    • The session underscored the utility of DBMs in real-world applications, demonstrating their capacity to support complex decision-making across diverse business domains.
  5. Impact on IT Strategy and System Planning:
    • Incorporating DBMs into EA efforts leads to more informed decision-making, with enhanced insights into the interactions between various business functions and IT systems.
    • This integrated approach supports a proactive stance in IT strategy formulation, emphasizing continuous adaptation and alignment with business changes.

The webinar was particularly relevant for IT professionals, systems architects, business analysts, and strategic managers. It also offered critical insights for academics and students in business and technology disciplines.

Watch the recording below

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About the Speaker

Kim Warren is an experienced strategy professional, teacher, and publisher of online courses and teaching resources on business modeling – fast becoming a mainstream capability for executives, consultants, and business students. He was awarded the Jay Wright Forrester Award by the International System Dynamics Society in 2005 and was the Society’s President in 2013.

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New Member Orientation and Networking April 2024

Member Orientation

The System Dynamics Society has recently hosted a New Member Orientation aimed at introducing new participants in the community. The session, led by SDS President, Allyson Beall King, and Director of Outreach, Meagan Colvin, provided an overview of the Society’s structure, mission, and opportunities for member involvement. The agenda included an introduction to the Society’s objectives, its staff, and the myriad of resources it offers.

Highlights from the Orientation

Introduction to Staff and Structure: The session provided detailed information on the organizational structure of the Society, introducing key personnel and their roles within the Society, from various locations around the globe.

Member Resources and Benefits: The orientation highlighted several benefits for members, such as:

  • Discount on conference registration fee
  • Free access to all seminars and recordings
  • Reduced prices and some free courses for online learning.
  • Free access to the System Dynamics Review.
  • Membership in various Special Interest Groups (SIG) and Chapters with networking opportunities.

Interactive Sessions: The event included a question-and-answer segment where participants engaged directly with leaders, enhancing the interactive nature of the orientation.

Networking Opportunities: There was a special segment for networking, where Chapter and SIG leaders introduced themselves and shared insights into their activities, promoting community interaction among members.

The New Member Orientation underscored the System Dynamics Society’s commitment to providing valuable resources and fostering a collaborative environment. It emphasized the Society’s dedication to tackling significant global issues through System Dynamics.

For those interested in a deeper understanding of the membership benefits and to hear firsthand from Society leaders, we encourage watching the recording of the event. This will provide prospective and current members with a comprehensive view of the opportunities available within the System Dynamics Society.

Watch the recording below

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Artificial Intelligence and System Dynamics in Business and Management

The recent webinar, titled “The Dynamic Interplay Between Artificial Intelligence (AI) and System Dynamics (SD) in Business and Management,” provided deep insights into the evolving relationship between AI and SD. This session was part of the System Dynamics Society’s ongoing Seminar Series. It aimed to dissect the convergence of AI and SD within the business and management landscapes.

Key Takeaways from the Webinar:

  1. In-Depth Bibliometric Analysis: The session kicked off with a comprehensive bibliometric analysis, highlighting how academic discussions on System Dynamics and AI intersect, charting their evolution and emerging patterns. This approach provided a solid base for understanding the convergence trajectory of these fields.
  2. Advanced Topic Modeling Discoveries: The webinar delved into the intricacies of AI and SD integration through cutting-edge topic modeling techniques. This analysis offered a detailed perspective on how these fields are blending, adding depth to our understanding.
  3. Dual Convergence Pathways: The discussion highlighted two main convergence pathways: ‘soft convergence’ and ‘hard convergence.’ Soft convergence looks at how AI augments SD with a focus on social dynamics, while hard convergence explores AI’s role in reengineering system design and interdependencies.
  4. Emerging Trends and Strategic Implications: An interesting aspect of the session was the exploration of current trends. It was noted that soft convergence is more prevalent in today’s business landscape, but hard convergence is gaining momentum and could revolutionize SD research and application.
  5. Practical Applications of AI and SD: The session also covered how AI technologies are being used across various domains like healthcare, risk management, and customer service, providing real-world examples of their impact.
  6. Theoretical Framework Necessity: A crucial point raised was the need for a convincing theoretical framework to effectively combine AI’s data-based approaches with SD’s organizational strategies.

In closing, this seminar not only presented an analysis of AI and SD convergence but also invited scholars, researchers, and industry practitioners to further explore this synergy. The insights gained from this webinar are invaluable for anyone interested in the intersection of these two fields.

Watch the recording below

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About the Speakers

Francesca Iandolo, PhD: A Tenure-track Assistant Professor in Management at Sapienza University of Rome, Francesca Iandolo specializes in corporate sustainability and technology in digital platforms. With a master’s in accounting and a PhD focusing on the Viable Systems Approach, she actively contributes to academic coordination and research, and consults for private companies.

Giuliano Maielli: Researcher in business history and organization studies, focuses on technological and organizational innovation. His work, emphasizing design hierarchies, path-dependence, and socio-organizational phenomena, delves into platform innovation dynamics and the Internet of Things, contributing significantly to peer-reviewed academic publications.

Stefano Armenia: Tenure-track Lecturer at the Università Telematica degli Studi in Florence, specializes in Business Organizations and Dynamical Systems. With a background in Computer Engineering and Business Engineering, he contributes to System Dynamics societies, edits scientific journals, and researches in fields ranging from cybersecurity to sustainable transportation.

Pietro Vito, PhD: A researcher in Economics and Business Management at Sapienza University of Rome, Pietro Vito’s research spans systemic and vital perspectives in business management. His interests include sustainability, environmental protection, intellectual capital, and artificial intelligence, contributing to a broader understanding of management methodologies.

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Dynamic Business Models for Dealing with Competition

In the latest webinar of the System Dynamics for Business Innovation special series, Kim Warren delved into Dynamic Business Models for Dealing with Competition. This session, rich in practical advice and strategic insights, is pivotal for professionals seeking to sharpen their competitive edge. Here’s a breakdown of the webinar’s key points.

Key Takeaways from the Webinar:

  1. Understanding Competitive Dynamics: The session focused on the use of dynamic business models to navigate competitive business environments. Warren highlighted the importance of understanding how competition plays out in real-time and the impacts on prices, marketing spending, and profits.
  2. Case Studies and Applications: Warren used two illustrative case studies to demonstrate the practical application of these models. He discussed GSK’s travel vaccines business and its response to a new competitor, and Beyond Meat’s strategy in creating a market for non-meat products. Both cases highlighted the strategic challenges and responses in dynamic competitive environments.
  3. Types of Competition: Warren outlined three standard competition mechanisms, covering most competitive scenarios. These include racing to capture new potential customers, maintaining existing customers while attracting competitors’ customers, and handling situations where customers can switch between suppliers.
  4. Practical Strategy Development: The session also touched upon practical aspects of strategic planning, like leveraging dynamic models for both long-term strategy and short-term operational decision-making.

Invitation for Further Learning

This webinar is a must-watch for those interested in refining their competitive strategies and understanding the application of dynamic business models. Viewing the recording will provide a deeper insight into the discussed concepts.

Furthermore, the series will continue to offer rich content on strategic business areas such as IT systems architecture and environmental impact reporting. These upcoming sessions represent a unique opportunity to gain advanced knowledge and skills in the field.

Join us for the upcoming webinars to deepen your understanding of dynamic business models and their critical role in shaping successful competitive strategies

Certificate

Attendees who participate in at least 6 out of the 9 webinars in the series will be eligible to receive a certificate titled “Introduction to Dynamic Business Models.” This is an opportunity to gain recognition of your learning in this innovative field. For those who cannot attend live sessions, recordings will be available, allowing you to review the material and complete the series at your convenience.

Watch the recording to get your certificate code.

Watch the recording below

Whoops, this recording is available for members and ticket purchasers only. Please login to verify. If you’re not a member, purchase a membership here. You can also buy a ticket to watch the recording here

About the Speaker

Kim Warren is an experienced strategy professional, teacher, and publisher of online courses and teaching resources on business modeling – fast becoming a mainstream capability for executives, consultants, and business students. He was awarded the Jay Wright Forrester Award by the International System Dynamics Society in 2005 and was the Society’s President in 2013.

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Escape from Model Land – How Mathematical Models Can Lead Us Astray and What We Can Do About it

In the third episode of MINDS CAST, we had the privilege of engaging with Erica Thompson, the author of “Escape from Model Land” This session delved into the intricacies of using mathematical models in decision-making, highlighting both the potential benefits and the pitfalls of relying heavily on these models. Here, we summarize the key insights from this enlightening discussion, including Thompson’s perspectives on the role of models in understanding complex issues and the importance of critical engagement with these tools.

About the Presenter:

Dr. Erica Thompson, Associate Professor of Modelling for Decision Making at UCL’s Department of Science, Technology, Engineering, and Public Policy, brings a wealth of expertise to the topic. Her research focuses on the application of mathematical and computational models in decision-making, with a particular emphasis on developing techniques for assessing and interpreting models. As a Fellow of the London Mathematical Laboratory and a Visiting Senior Fellow at the LSE Data Science Institute, her work also delves into the philosophical aspects of model outputs and their integration with expert judgment in decision-making processes.

Webinar Overview:

  1. The Essence of Models in Decision-Making: Thompson opened the discussion by exploring the role of mathematical models in aiding our understanding of complex issues like economic regulation, climate change, and pandemics. She emphasized that while models are crucial tools, they do not produce perfect predictions of the future.
  2. Challenges in Mathematical and Social Contexts: The conversation highlighted the mathematical and social challenges in using models for decision-making. Drawing on examples from climate change and COVID-19, Thompson underscored the importance of recognizing the limitations and assumptions underlying these models.
  3. Best Practices for Responsible Modeling: The session also touched upon best practices for responsible modeling, especially in politically charged contexts. Thompson stressed the need for transparency, accountability, and the acknowledgment of value judgments embedded within models.
  4. Navigating Model Land: The concept of ‘Model Land’ – a metaphorical space where models exist in their idealized form – was a key focus. Thompson discussed the risks of becoming overly reliant on models and strategies for effectively navigating out of Model Land while still leveraging the benefits they offer.

Key Points from the Discussion:

  • Model Diversity and Assumption Transparency: Thompson advocated for the diversity of models and perspectives in modeling processes. She emphasized the need for models to make their assumptions and biases explicit, allowing for more critical engagement and evaluation of their outputs.
  • The Role of Experts in Modeling: The discussion also addressed the evolving concept of expertise in modeling. Thompson highlighted the importance of involving a range of experts in the modeling process to ensure diverse perspectives and assumptions are considered.
  • Models as Conviction Narratives: Thompson described models as ‘conviction narratives,’ tools that provide a structured way of thinking about the future. She stressed the importance of understanding models as narratives that require translation and interpretation to be effectively used in decision-making.
  • Future of Modeling: Looking ahead, Thompson envisioned a modeling landscape that is more integrally connected with social and political contexts. She called for models that are transparent about their value judgments and capable of incorporating diverse perspectives to enhance trust and utility in decision-making.

Erica Thompson’s insights in the MINDS CAST episode provide a valuable perspective on the complexities of mathematical modeling. Her emphasis on critical engagement, diversity of perspectives, and the need for transparency in modeling practices offers a roadmap for navigating the challenges and potentials of models in decision-making. As we continue to rely on models to understand and shape our world, Thompson’s call for a more nuanced and responsible approach to modeling is both timely and essential.

Watch the recording below

About the Speaker

Dr. Erica Thompson holds the position of Associate Professor of Modelling for Decision Making at UCL’s Department of Science, Technology, Engineering and Public Policy, where I work on a programme of research funded by a UKRI Future Leaders Fellowship. She is also a Fellow of the London Mathematical Laboratory, where she leads the research programme on Inference from Models, and a Visiting Senior Fellow at the LSE Data Science Institute.

Her research focuses on leveraging mathematical and computational models to guide decision-making in practical contexts. Dr. Thompson has dedicated her efforts to developing mathematical and statistical techniques for assessing and interpreting models. Additionally, she explores essential philosophical inquiries concerning the true significance of model outputs and the integration of models with expert judgement in decision-making processes.

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Dynamic Business Models for Strategic Management Accounting

In the first session of the System Dynamics for Business Innovation special series, led by business strategist and academic Kim Warren, attendees gained valuable insights into the use of dynamic business models in strategic management accounting. This blog provides an overview of the key topics covered in the webinar ti

Key Points from the Webinar:

  1. Role of Strategic Management Accounting (SMA): SMA is essential for helping accountants and leaders in developing and monitoring their business strategies. It requires detailed analysis of business data, forecasting, and preparing forward-looking reports.

  2. Responding to Market Changes: Strategic Management involves reacting to unexpected competitive threats and market shifts. This includes strategies such as acquiring companies or entering new markets.

  3. Use of Financial and Non-Financial Data: Strategic management requires ongoing analysis and interpretation of both financial and non-financial data. This encompasses aspects like capacity factors and their connections within the business.

  4. Tools for SMA: SMA uses a combination of financial and non-financial tools. The Balanced Scorecard, for example, connects financial outcomes with operational activities and customer focus.

  5. Customer Focus in Business Success: Understanding customer needs is important for business success. Tools like the value curve and the business model canvas help align business offerings with customer needs and set apart from competitors.

  6. Budgeting Techniques: The webinar discussed traditional and zero-based budgeting, underlining the need for budgeting approaches that suit current business requirements.

  7. Tools for Predictive Analysis: It’s important to have tools that can forecast business outcomes in various scenarios. These tools should consider factors such as revenue, competitor behavior, and strategic objectives.

  8. Case Study Application: The webinar demonstrated these concepts through a case study of a new table service restaurant, focusing on sales and profit growth projections.

Invitation for Further Learning:

For those interested in deepening their understanding of Strategic Management Accounting, we recommend watching the recording of this webinar. Further, participation in the upcoming sessions of this series will offer expanded knowledge on topics like competitive strategy, IT systems, and the impact of business decisions on society and the environment.

Join us to further explore the field of Strategic Management Accounting and apply these principles to enhance your business strategies.

Certificate

Attendees who participate in at least 6 out of the 9 webinars in the series will be eligible to receive a certificate titled “Introduction to Dynamic Business Models.” This is an opportunity to gain recognition of your learning in this innovative field. For those who cannot attend live sessions, recordings will be available, allowing you to review the material and complete the series at your convenience.

Watch the recording to get your certificate code.

Watch the recording below

Whoops, this recording is available for members and ticket purchasers only. Please login to verify. If you’re not a member, purchase a membership here. You can also buy a ticket to watch the recording here

About the Speaker

Kim Warren is an experienced strategy professional, teacher, and publisher of online courses and teaching resources on business modeling – fast becoming a mainstream capability for executives, consultants, and business students. He was awarded the Jay Wright Forrester Award by the International System Dynamics Society in 2005 and was the Society’s President in 2013.

Resoures: 

Demo Model

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Recording: Workshop Visualize and Analyze Complex Challenges the Easy Way

Kai Neumann’s recent workshop  provided a practical and in-depth exploration of modeling complex challenges using the iModeler. With over 25 years of experience in systems thinking and modeling, Neumann’s session was a treasure trove of insights and hands-on learning.

The core of Neumann’s workshop was an engaging walkthrough of qualitative modeling using the iModeler software. His approach emphasized the significance of starting with a clear target factor and systematically exploring influences and outcomes. This process highlighted the power of qualitative models in identifying key levers in complex systems.

Participants engaged in an interactive modeling exercise focusing on the creation of a qualitative model. Neumann adeptly guided the exercise, starting from the identification of a primary factor – in this case, the availability of drinking water – and progressively building a complex model. This exercise illuminated the practical aspects of modeling, such as identifying direct influences, categorizing factors, and understanding the interplay between different elements.

A standout feature of the session was Neumann’s demonstration of the “insight matrixes” technique for analyzing qualitative models. This method provides a nuanced understanding of the impacts of various elements within a model over different time frames. This analysis is crucial for pinpointing effective strategies and interventions in complex scenarios.

This workshop offered an invaluable perspective on System Dynamics modeling. By focusing on the practical aspects of creating and analyzing qualitative models, Neumann equipped participants with tools and methodologies essential for tackling complex challenges in various domains. His expertise in the field, coupled with a hands-on approach to teaching, made this workshop a great learning experience for anyone keen on learning System Dynamics.

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About the Presenter

Kai Neumann has over 25 years of experience serving as a full-time systems thinker and modeler, both as a business consultant and scientist. His expertise spans a broad range of topics, including systemic strategy development, process optimization, global energy transition, food security, and transformation. Additionally, he delves into e-mobility, artificial intelligence, welfare economics, and political strategies. His extensive experience and diverse skill set make him a valuable asset in various fields.

 

About Consideo iModeler

Consideo iModeler is a cutting-edge software tool designed to visualize and analyze complex situations, making it easier for users to plan, make decisions, and communicate more effectively. This software stands out for its unique Insight Matrix feature, which provides a revolutionary way to handle complexity. It allows both qualitative and quantitative modeling, including System Dynamics for scenario modeling.

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Machine Learning and System Dynamics: a Threat or an Opportunity?

The recent webinar presented by Hesham Mahmoud, an experienced professional in the fields of multinational corporations, academia, and the United Nations, focused on the intersection of Machine Learning (AI) and System Dynamics. This post summarizes the webinar’s key points, including the Q&A session, offering insights into how these two methodologies can be effectively integrated.

Presenter Background:

Hesham Mahmoud, currently a Junior Lecturer and Machine Learning Researcher at Radboud University, brings a wealth of experience from his roles in various sectors, including his tenure at the Food and Agriculture Organization of the United Nations. His expertise in Economics and Political Economics, combined with his professional experience, provides a unique perspective on the application of Machine Learning in System Dynamics.

Webinar Summary:

  1. Defining the Relationship between AI, Machine Learning, and System Dynamics: Mahmoud began by delineating the distinctions and connections between AI, Machine Learning, and System Dynamics. He emphasized the potential of Machine Learning to enhance the analytical capabilities in System Dynamics, moving beyond the traditional view of AI as a complex and opaque field.

  2. Addressing Bias and Ensuring Objectivity: The webinar highlighted the challenge of bias in Machine Learning algorithms. Mahmoud discussed the importance of feature selection and the role of human oversight in ensuring that machine-learning models are as objective and unbiased as possible.

  3. Data Challenges in Machine Learning: Mahmoud pointed out that both the scarcity and abundance of data present challenges in Machine Learning. He stressed the importance of careful decision-making in feature selection to avoid introducing biases into the models.

  4. Complementarity of Machine Learning and System Dynamics: The discussion underscored how Machine Learning could uncover patterns in data that might not be immediately apparent in System Dynamics models, while System Dynamics can provide a human-centric approach to guide Machine Learning analyses.

  5. Practical Applications in Healthcare: The webinar touched on the application of these methods in healthcare, demonstrating how combining Machine Learning with System Dynamics could enhance predictive models in medical systems.

Key Points from the Q&A:

  • Machine Learning as a Complement to System Dynamics: Mahmoud clarified that Machine Learning should be seen as a complementary tool to System Dynamics, not as a replacement. He emphasized its utility in providing data-driven insights that can inform and refine System Dynamics models.

  • Bias Mitigation in Combined Approaches: In response to concerns about bias, Mahmoud discussed how integrating Machine Learning with System Dynamics could help mitigate biases from both fields. He suggested that the triangulation of data-driven insights and System Dynamics models could lead to more balanced and objective outcomes.

  • Ethical Considerations in Model Design: Mahmoud acknowledged the importance of ethical considerations in the design and application of Machine Learning models, especially when used in conjunction with System Dynamics. He stressed the need for ethical frameworks to guide decision-making in these integrated approaches.

  • Technical Aspects of Integration: Addressing the technicalities, Mahmoud mentioned the availability of tools and packages in programming languages like R, which facilitate the integration of traditional System Dynamics models with Machine Learning techniques.

This webinar provided a comprehensive overview of how Machine Learning can be integrated with System Dynamics to enhance model accuracy and objectivity. The key takeaway is that these two methodologies, when combined, can offer a more robust approach to understanding and solving complex problems, particularly in fields like healthcare. The Q&A session further reinforced the idea that Machine Learning and System Dynamics are not competing but are complementary tools that, when used together, can lead to more effective and ethical outcomes.

This session is organized and led by MINDS – the student-led System Dynamics Association at the University of Bergen in Norway.

Watch the recording below

About the Speaker

Hesham Mahmoud has working experience in Multinational Corporations, Academia, and the United Nations. Double Master’s degree holder in Economics and Political Economics with ten years of professional experience in the domains of ICT, Business Analysis, Business Development, Partnerships, Project Management, and Marketing. Before becoming a researcher at Radboud University in the Netherlands, Hesham served as Due Diligence Senior Analyst at the Food and Agriculture Organization of the United Nations and currently works as a Junior Lecturer and Machine Learning Researcher at Radboud University.

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Systems Thinking Through Storytelling

 

“”The recent webinar hosted by the System Dynamics Society featured Linda Booth Sweeney and Philip Ramsey, offering an overview of the world of systems thinking and its application in education and storytelling. Linda, an accomplished educator and author, shared her journey in integrating systems thinking into various educational materials and books. Philip Ramsey, an author and senior lecturer at Massey University, New Zealand, discussed his Billy Bonk and Frankel series, aimed at teaching systems thinking to children.

Linda Booth Sweeney: Bridging Systems Thinking and Storytelling

Linda emphasized the importance of early exposure to systems thinking, noting that it can become a habitual way of thinking if introduced at a young age. Her approach involves using simple, yet powerful, questions to encourage children to visualize and discuss the connections in the world around them. She introduced her new book, “Apart Together,” which aims to cultivate systems literacy, a growth mindset, and resilience in children.

Key Takeaways from Linda’s Presentation:

Early Systems Thinking: Linda highlighted the necessity of introducing systems thinking to children, potentially preventing the fragmentation of knowledge as they grow older.

Curious About Connections: She introduced her methodology involving three questions – “What’s happening here?”, “What if this is connected to that?”, and “What caused what to change?” – to help children visualize and think about systems.

Access the free companion guide when you subscribe to the “Curious About Connections” Newsletter here.

Practical Implementation: Linda shared how her methodology and book can be utilized in various everyday scenarios, from family discussions to classroom settings, to instill a sense of curiosity and interconnectedness in children.

Philip Ramsey: Storytelling with Systems Thinking

Philip Ramsey’s part of the webinar focused on his Billy Bonk and Frankel series, republished recently with the help of the System Dynamics Society. These books are designed to teach systems thinking to children around age 10. He emphasized the role of storytelling in making complex concepts accessible and engaging for young minds.

Key Insights from Philip’s Presentation:

Targeted Age Group: Philip’s books are primarily aimed at children around 9-11 years old, making them a suitable tool for educators and parents to introduce systems thinking at a slightly more advanced level.

The Power of Storytelling: He underscored storytelling as an effective method to communicate systems thinking concepts, making them relatable and easier to understand for children.

Series Development: The Billy Bonk and Frankel series were developed to not only entertain but also educate children, demonstrating the practical application of systems thinking in various scenarios.

The webinar with Linda Booth Sweeney and Philip Ramsey was an enlightening exploration of systems thinking through storytelling. Linda’s approach of simple questioning to induce systems thinking in young children and Philip’s use of storytelling to teach more complex systems concepts to older children present a framework for educators and parents. These methods can be instrumental in fostering an early understanding and appreciation of systems thinking, shaping a more aware and connected generation.

Watch the recording below

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Society Governance Updates

Society Governance Updates Welcome, Allyson! New President Allyson Beall King joined the Policy Council as our 2024 President. Her primary role is as director of the Washington State University School of the Environment, which focuses on regional ecologies and our...

Call for Presenters: Seminar Series

Call for Presenters: Seminar Series We at the System Dynamics Society are continually seeking vibrant and knowledgeable presenters for our ongoing Seminar Series. As we unfold the calendar, there’s always a place for more insights, experiences, and expertise to enrich...

Upcoming Events

Recent Business cases

A Design Value Calculator: A System Dynamics Boardgame

A Design Value Calculator: A System Dynamics Boardgame EXECUTIVE Summary Product design is a specific form of complex innovation that touches all areas of an organization’s management. While entrepreneurs recognise the value of design, they often tend to focus...

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Resources

About the Speakers

Linda Booth Sweeney is an educator, writer and strategist for healthy socio-ecological systems change, Dr. Linda Booth Sweeney is internationally recognized for her efforts to make systems thinking actionable by a wide range of audiences. In her Systems Leadership Labs, Linda creates experiences for leaders to think differently, and to experiment with language, visualization tools and knowledge architecture that better mirrors the complexity they are navigating. She is co-author of The Systems Thinking PlaybookThe Climate Change Playbook, and numerous other books and journal articles. Her newly published book, Apart, Togetheris a gentle introduction to systems thinking for children.  Linda holds her doctorate from Harvard’s Graduate School of Education and lives outside of Boston where she enjoys swimming in Walden Pond and amateur farming.  For more information, see:

(systems) www.lindaboothsweeney.net

(children’s) www.lindaboothsweeney.com

(metaverse) https://togglelab.com

How Children’s Stories Help Us See Real-World Patterns (on Medium.com)

PBS Learning Media Systems Literacy Pilot

Philip Ramsey is the author of the Billibonk and Frankl series, jungle-based fables aimed at teaching children systems thinking through fascinating animal adventures. Phil is a Senior lecturer at Massey University in New Zealand, where he teaches Organizational Learning, Leadership, and Teamwork. He also works as a Director of Incite Learning, a consulting company that mainly works with schools, helping school leaders apply Organizational Learning concepts to solve tough problems.

Billibonk and Frankl Series

Billibonk and the Thorn Patch Front Cover
Billibonk and the Bugs
The Floods of Knith Cover: Billibonk and Frankl Story
The Dark Jungle Billibonk Series Front Cover

Webinar Highlights and Recording: Navigating Client Dissatisfaction

Dennis Sherwood, a stalwart in the consulting industry, recently presented a webinar that peeled back the curtain on the not-so-glamorous aspect of consulting—client dissatisfaction. With over 20 years under his belt and roles in prestigious firms like Deloitte and Goldman Sachs, Dennis brought a wealth of experience to the discussion, centered around a challenging government project that spanned a decade.

The Struggle for Educational Reform: Dennis dove into the intricacies of a flawed examination grading system he audited, which affected countless students’ futures. Despite his comprehensive analysis and solution-oriented approach, he encountered stiff resistance from the powers that be, illuminating the daunting task consultants often face when their findings and client expectations don’t align.

Advocacy in the Face of Resistance: His unwavering commitment to rectify the grading system, even after being turned away, highlights a consultant’s duty to pursue the truth and advocate for change. Dennis’s call to action rallied lawyers, educators, and policymakers to join the fight for transparency and fairness in education.

The Takeaway: Dennis Sherwood’s “Navigating Client Dissatisfaction” session is a testament to the perseverance needed in consultancy, especially when advocating for societal change against entrenched systems. For those inspired by his dedication, Dennis remains open to dialogue and can be reached for further insight at dennis@silverbulletmachine.com

Watch the recording below

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Resources

About the Speaker

Dennis Sherwood has championed organizational innovation and creativity for over 20 years through his UK-based consultancy. A fervent advocate of systems thinking, Dennis’s vast experience ranges from being a consulting partner at Deloitte to holding pivotal roles at establishments like Goldman Sachs and SRI Consulting. An acclaimed author, Dennis has authored 15 books on topics spanning innovation, creativity, and systems thinking, with titles such as “Seeing the Forest for the Trees” and “How to Be Creative: A Practical Guide for the Mathematical Sciences.” Join us as Dennis unravels the nuances of client relationships, providing invaluable insights from his distinguished career.

Recent Posts

Society Governance Updates

Society Governance Updates Welcome, Allyson! New President Allyson Beall King joined the Policy Council as our 2024 President. Her primary role is as director of the Washington State University School of the Environment, which focuses on regional ecologies and our...

Call for Presenters: Seminar Series

Call for Presenters: Seminar Series We at the System Dynamics Society are continually seeking vibrant and knowledgeable presenters for our ongoing Seminar Series. As we unfold the calendar, there’s always a place for more insights, experiences, and expertise to enrich...

Upcoming Events

Recent Business cases

A Design Value Calculator: A System Dynamics Boardgame

A Design Value Calculator: A System Dynamics Boardgame EXECUTIVE Summary Product design is a specific form of complex innovation that touches all areas of an organization’s management. While entrepreneurs recognise the value of design, they often tend to focus...

Join us