We’re super excited to share that you can now build network visualizations on top of geographic maps in Kumu. This has been one of our most requested features, with many of you looking to build…
As a cofounder of Kumu, I get to see A LOT of system maps. And thanks to the great work of Gene Bellinger, Rob Ricigliano, David Peter Stroh, and countless others — systems mapping appears to be on…
Join us for this free webinar highlighting Model Mysteries, An Exploration of Vampires, Zombies and Other Fantastic Scenarios to Make the World a Better Place. Just released, this resource is a fun, engaging entry point to modeling. Based on a philosophy that “copying” models is a stepping stone to understanding, each chapter provides a guided path to build and then modify a model, applying one generic structure to a variety of contexts. The webinar will demonstrate how these small models can easily be built using Stella® online, shared with others, and used to foster new insights about how systems work.
Last week we brought you news of a world map purportedly more accurate than any to date, designed by Japanese architect and artist Hajime Narukawa. The map, called the AuthaGraph, updates a centuries-old method of turning the globe into a flat surface by first converting it to a cylinder.
Use the iMODELER to gain insights, explore how things are interconnected and enhance your brain’s capability to tackle complexity. It will make you become more successful. The new iMODELER offers a revolutionary way to both visualize and analyze (via its unique Insight Matrix) complexity, thus allowing for better planning, decision-making and communication. The iMODELER even allows for quantitative (e.g. system dynamics) modeling of scenarios.
isee systems is dedicated to increasing understanding of our world through modeling and simulation software. Our software includes Stella Architect, Stella Professional and Stella Designer.
Stella Simulator is a stand-alone, XMILE-compatible simulation engine based on isee systems’ well-known STEAM engine that can be used for server or High Performance Computing (HPC) applications, or embedded in desktop applications. Available for Windows, Macintosh, and Linux, it allows full control over parameters at each step of the model run.
We are teaming up with the System Dynamics Society to run a hackathon at the International System Dynamics Conference on July 17-21 in Delft, Netherlands. System Dynamics is probably the best modeling discipline to illustrate how climate effects large ecosystems over time. An SD model looks like a flow chart, with stocks of goods that grow or shrink based on inflows and outflows. It is particularly good for illustrating the tertiary consequences of policy and events on large ecosystems.
Normally, an SD model infers the current value of goods or things in stocks (boxes on the chart) as fixed. We'd like our stocks to have JSON links to live data sources like historical census data, agricultural output, housing prices, etc. We'd like some stocks to be populated with agents representing people in a community that have somewhat autonomous behavior that can be modeled when confronted with climate consequences, public policy, or challenging economic conditions.
We've chosen to model the impact of climate changes on Baja, Mexico because Baja is close to the US Border, has extremely variable weather patterns, and has already suffered social and economic impacts from climate changes. The hackathon will take place during the conference and beyond. All models will be developed using Open Source tools, the XMILE System Dynamics Standard, and will be available for the global community to improve, use, and discuss.
CALL TO ACTION: We welcome more people to join this Climate Models Initiative! All of us, around the world, need more Climate Dynamics Models and Data to prepare for Climate Change and improve Resilience. We are specifically looking for with Systems Dynamics and Social Media Data Analytics Skills. To Join us in Delft and beyond, please register to attend the conference and hackathon here.
Climate Change effects us all. Every community on the planet will have to adapt. We believe we can help predict how some of those adaptations will take place and effect current and future systems. With Open Data, System
Stella Architect is the definitive modeling tool to create professional simulations and presentations. Seamlessly design, build and publish models to shar
This post is a part of our systems thinking tools blog series where we’re introducing and sharing guidance for using different tools to support systems thinking and practice.
In How systems mapping can help you build a better theory of change, we discussed the importance of differentiating between the theory of change approach and theory of change diagram. The former is a…
This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems--with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases.
Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models. Ideal for undergraduates, beginning graduate students, and researchers in the physical and natural sciences, this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.
Self-contained and accessible, Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines, so that they can form their own answers to the questions of what natural complexity is and how it arises.
Discover The Mississippi River Basin Model in Jackson, Mississippi: Built by prisoners of war, the largest small-scale model ever built includes eight miles of tiny streams that now sit abandoned.
I’ve always looked over the fence into the big data pasture with a bit of envy, because it seemed that most projects were more tactical, and establishing value based on immediate operational improvements would be fairly simple. So, I was surprised to see data scientists’ angst over establishing business value for their work.
MetaMap helps you apply Systems Thinking to solve wicked problems. Work together to visualize concepts, relationships, and perspectives in order to communicate a deeper understanding of complex systems.
Deciding when to expand a business is difficult in any industry. For the airline industry, there are both large investments and long delays involved in expansion, making it important to test your assumptions as you go.
This model uses a Bass Diffusion model to start and then expand an airline business. Expansion occurs when the predicted market share exceeds a specific threshold, which provides some headroom for additional growth in existing markets as expansion takes place. This simple model does not look at the impact of competitors, but rather sets the number of potential passengers to those the airline can expect to win over time. There is a limit on the number of routes that can be added before saturating the market.
A number of the users in our community are working on maps related to the UN Sustainable Development Goals (or "SDGs"). Rather than each of you re-creating the wheel to get the icons and colors used to represent each SDG, we decided to put together an SDG toolkit to jumpstart
Welcome to Perspectives where we endeavor to create and surface noteworthy relationships and their implications as unfolding stories, to provoke thought, foster discussion, deeper understanding, insights, and more effective action.
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