Gaining Insight through Systems Thinking and Computational Modeling
Getting Started: Learn and Do
Sequence of Activities
Introduction to Systems Thinking and Modeling - Begin here to learn the fundamentals of systems and how they can be modeled.
Introduction to Systems Thinking and Modeling
Today's problems often take the form of complex systems - climate change, cancer, politics. Tackling these problems requires a systems approach. Learn about what a system is, how feedback loops are part of most systems, and how we can model complex systems with modern tools.
Once you are in the mindset of a systems thinker, move through the modules of varying difficulties - Introductory (easiest), Intermediate, Advanced (hardest) - at your own pace. You can start anywhere, but keep in mind that some of the modules build on each other.
Along the way, you may feel inspired to demonstrate what you have learned and explore creating your own model. Share your model and the instructions for building with us, and you can be an author and contributor to our growing network of modelers!
Share Your Model
These projects give you the tools to be creative and design your own models. Within the scientific community, we value collaboration in order to further our knowledge of the world. Please share your model with us so that the community has access to your ideas!
To learn more about systems and modeling, see Other Learning Resources. Or Jump right in by using the links below!
Introductory
TOOL: Loopy
TIME (est.): 1 - 1.5 hours
SYSTEM PROPERTIES: Feedback Loops
Your overall well-being is weighted by different elements of your day. If you treat your day as a system, you can start to determine where you can improve your future days to achieve wellness. What steps can you take toward wellness?
picture credit
What do rabbit populations, The Lorax and epidemics have in common?
TOOL: SageModeler
TIME (est.): 0.5 - 1 hours
SYSTEM PROPERTIES: Cause and Effect, Interconnection, Accumulation
The world contains a multitude of complex systems, and as diverse as they may seem, their similarities far outweigh their differences. Learn about using models to help understand simple systems while gaining familiarity with an intuitive modeling tool.
TOOL: Stella Online
TIME (est.): 1 - 1.5 hours
SYSTEM PROPERTIES: Feedback Loops, Behavior Over Time Graphs
Octopuses have been called the Geniuses of the Ocean. How can we predict their population numbers with a dynamic, quantitative model?
TOOL: Loopy
TIME (est.): 0.5 - 1 hours
SYSTEM PROPERTIES: Feedback Loops
Four superhero scientists at ISB use their superpowers to study HIV using systems biology! Why does an HIV patient's T cell count affect their viral susceptibility? Let's create a simple model using Loopy to find out, then, you can build your own HIV gene regulatory model!
Intermediate
TOOL: SageModeler
TIME (est.): 1 hour
SYSTEMS PROPERTIES: Cause and Effect, Interconnection, Feedback Loops, Rates and Accumulations, Behavior over Time
Use your modeling skills to investigate disease epidemics. You will also learn the basics of systems dynamics while exploring the fundamental structures and behaviors found in systems.
TOOL: Stella Online
TIME (est.): 0.5 - 1 hrs
SYSTEM PROPERTIES: Tipping Points, Feedback Loops, Behavior Over Time Graphs
Our oceans house a wondrous array of organisms. How are populations of predator and prey connected?
Exploring and Visualizing Ocean Data
TOOL: Ocean Data View
TIME (est.): 0.5 - 1 hrs
The oceans are experiencing great change as part of climate change. How can we use computational tools to visualize and understand data about the oceans?
Identifying Gene Targets for Malaria with Excel
TOOL: Excel
TIME (est.): 1-2 hours
SYSTEMS PROPERTIES: Cause and Effect, Interconnection, Feedback Loops, Rates and Accumulations
Use Excel as a statistical tool to determine which proteins would be good targets for a malaria vaccine.
Characterizing GBM Cell Heterogeneity in Response to Drug Treatment Using Excel
TOOL: Excel
TIME (est.): 2-3 hours
SYSTEMS PROPERTIES: Wicked Problems, Systems within Systems, Dynamic Systems
Use Excel to analyze the variances between two drug-treated glioblastoma tumor stem cell populations and learn how certain stem cell markers are expressed in over 300 tumor cells.
Advanced
Effects of Ocean Acidification on Clownfish
TOOL: NetLogo
TIME (est.): 1 - 2 hrs
SYSTEM PROPERTIES: Environmental Effects, Feedback Loops, Behavior Over Time Graphs
Ocean acidification is increasing as climate change progresses. What effects might ocean acidification have on clownfish survival?
TOOLS: R, Github, Trimmomatic, STAR, Cufflinks, Kallisto
Time (est): 1 - 2 hrs
SYSTEM PROPERTIES: Environmental Effects, Differential Expression
Photo sourceHow organisms adapt to different environmental stressors can be tracked through which genes are expressed or not. How does yeast adapt to caffeine?
Visualizing Relationships Between Genes with Linked Functions
TOOLS: Cytoscape, R, Github
Time (est): 3 - 4 hrs
Photo sourceHow do genes linked to mitosis and repair relate to each other? Learn techniques for finding and grouping clusters in big data sets.
Analyzing the Presence of GBM Stem Cell Markers in the Tumor Microenvironment
TOOL: R
TIME (est.): 3-4 hrs
SYSTEMS PROPERTIES: Wicked Problems, Systems within Systems, Dynamic Systems
Use R to analyze and visualize single-cell data from various tumor stem-cell populations to understand how gene expression patterns can be used to distinguish subpopulations of cancer stem-like cells.
Final Project: Create Your Own Model
TOOL: Your choice!
Apply what you have learned to create a model of a system of your choice.
Learn more and/or contact us through email - see@isbscience.org or through our main websites - https://see.isbscience.org and https://isbscience.org.
