Course Introduction

Start with a traffic jam.

Nobody decided to create it. Nobody is in charge of it. No memo went out, no committee approved it, no leader commanded it into existence. It emerged β€” from thousands of individual decisions that were each entirely rational, combining into something that nobody wanted and nobody designed. Then ask: what else in your life is a traffic jam? Your workplace. Your neighborhood. Your news feed. Your country. This course is the answer to that question, worked out carefully across fifteen sessions.

The Boop Β· Course Thesis

The system is doing exactly what it's designed to do.
The problem is that nobody designed it.

*boop* Β· there it is

About This Course

The Infrastructure Course

POLS-101 asks who holds power. COGN-120 asks why humans misread situations. APMA-115 asks: what does the system itself do to everyone inside it, regardless of who's in charge or how smart they are? The answer is frequently unsettling. This is where the other courses get their scaffolding.

Moby

Complex systems are everywhere: cities, ecosystems, financial markets, pandemics, democracies, the internet, the human body. They share a set of properties that standard linear thinking completely fails to capture β€” and those failures have consequences. Supply chains collapse. Tipping points appear from nowhere. Interventions backfire. Cascades accelerate beyond anything the models predicted.

This course is not about memorizing those properties. It's about developing intuition for them: the kind that lets you recognize a fragile system before it breaks, read a feedback loop before it spirals, and notice when an institution's apparent stability is actually a warning sign.

We will also spend time on energy and overshoot. No complex systems course in 2026 can responsibly ignore that the civilization-level system we're all embedded in is operating beyond its carrying capacity. That's not politics. That's thermodynamics. The deep treatment of that subject lives in ERTH-201; this course will cross-reference it explicitly when we get there.

On Reading Assignments

Each session names the chapter or essay where the concept actually lives β€” not "read the whole book." Start with Meadows. Sit with one chapter. Map one loop. What tends to happen is that seeing one system clearly makes you see all of them. That's not a metaphor. That's emergence.

A Note on Using AI to Write Your Assignments

Outsourcing the writing to a large language model is a feedback loop with no signal. You'll get output. Nothing will have been learned. The system will appear to function. This is, as it happens, exactly what Unit II is about.

That said: use it to check your reasoning. Run a feedback loop diagram past it. Ask it to find the flaw in your system map. The boop logs should show that you noticed something the system was hiding. If they sound like a textbook summary, you didn't notice anything.

Four Threads β€” Running Through All Sessions

EmergenceProperties that appear at the system level, not the part level
NetworksTopology, connection, contagion
CollapseOvershoot, tipping points, resilience failure
LeverageWhere and how intervention works; the synthesis thread

Syllabus

UNIT I How Systems Work Sessions 1–5
01
What Makes a System Complex?
EmergenceAnchor: Mitchell, Complexity: A Guided Tour β€” Ch. 1–3
Simple vs. complicated vs. complex. A clock is complicated. An economy is complex. A traffic jam is neither β€” it's emergent. What's the difference between these, and why does getting it wrong cost so much?
β†’ The clock can be understood by its parts. The economy can't. One yields to reductionism. The other eats it alive.
02
Emergence: The Whole That Wasn't in the Parts
EmergenceAnchor: Holland, Emergence β€” Ch. 1–4Reading: Johnson, Emergence β€” Introduction
Traffic jams form without anyone causing them. Consciousness emerges from neurons. Markets from transactions. Who's in charge? Nobody. That's the point.
β†’ "Who's in charge?" is almost always the wrong question. Nobody is. That's not a bug.
03
Feedback Loops: The Engine of Everything
EmergenceAnchor: Meadows, Thinking in Systems β€” Ch. 1–2Practice: draw one reinforcing and one balancing loop from your own life
Reinforcing loops drive compound interest, viral spread, and arms races. Balancing loops drive thermostats and predator-prey cycles. Most crises involve a reinforcing loop that was invisible until it wasn't.
β†’ The loop you can't see is the one that's running you.
04
Non-Linearity, Thresholds, and Tipping Points
EmergenceCollapseAnchor: Meadows, Thinking in Systems β€” Ch. 3–4
Systems absorb stress until they suddenly can't, then reorganize into something completely different. Hysteresis: why you can't always go back.
β†’ The straw doesn't break the camel's back. The 999 straws before it do.
05
Network Theory: The Topology of Everything
NetworksAnchor: BarabΓ‘si, Linked β€” Ch. 1–5Reading: Watts, Six Degrees β€” Ch. 1–2
Nodes, edges, degree distribution. Random networks vs. scale-free vs. small-world. Why some networks are robust to random failure and catastrophically vulnerable to targeted attack.
β†’ The network's shape is its fate. Everything else is commentary.

Unit I Checkpoint

Draw a causal loop diagram for one system in your life. Identify at least one reinforcing loop and one balancing loop. Label what each loop is optimizing for. Then: is this system currently in equilibrium, approaching a tipping point, or already past one? What's the evidence?

UNIT II How Systems Break Sessions 6–10
06
Hubs, Power Laws, and the Rich-Get-Richer
NetworksAnchor: BarabΓ‘si, Linked β€” Ch. 6–10
Preferential attachment: why the already-connected get more connections. Power laws in city sizes, earthquake magnitudes, wealth distribution. Not coincidence β€” structure.
β†’ The rich get richer is not a moral judgment. It's a network property.
07
Synchrony and Contagion: Why Things Lock In and Spread
NetworksCollapseAnchor: Strogatz, Sync β€” Ch. 1–4, 11
Two phenomena, one session, because they are the same mathematics wearing different faces. Strogatz's fireflies: how oscillators spontaneously synchronize with no conductor. Then: contagion.
β†’ When things lock in together, the result is either beautiful or catastrophic. Same math.
08
Why Complex Societies Collapse
Collapseβ†— ERTH-201 primary home for TainterAnchor: Tainter, The Collapse of Complex Societies β€” Ch. 1–4
Tainter's thesis: complexity is a problem-solving strategy with diminishing marginal returns. Eventually the cost exceeds the benefit, and simplification becomes adaptive. The deep treatment is in ERTH-201.
β†’ Collapse isn't failure. It's what happens when complexity costs more than it solves.
09
Overshoot: What Happens When You Exceed the Limits
Collapseβ†— ERTH-201 primary home for CattonAnchor: Catton, Overshoot β€” Ch. 1–3
Catton's foundational concept. Carrying capacity. Overshoot as a feature of systems with time delays: the population shoots past the limit before the feedback arrives.
β†’ The feedback arrives after the damage. That's the whole problem.
10
Energy, Civilization, and the Meta-System
Collapse↗ ERTH-201 full treatment of Hagens, SmilReading: Smil, Energy and Civilization — Ch. 1
Energy isn't one variable among many; it's the substrate. Every increase in social complexity correlates with increased energy throughput. This session names that relationship and positions it within the systems framework developed in Sessions 1–9.
This is the most cross-linked session in the course. The point is not to be comprehensive about energy and civilization β€” ERTH-201 does that. The point is to name the meta-system so the next unit's leverage questions have the right scope.
β†’ Energy isn't one variable. It's the variable. Now ask: where are the leverage points?

Unit II Checkpoint

"Nobody could have predicted this." Find a recent news story where someone said this β€” or implied it. Explain why it was predictable, using at least two frameworks from Units I–II. Name the specific signal that would have told you β€” and why the system made that signal hard to see.

UNIT III How to See and Where to Push Sessions 11–15
11
Resilience: What Makes Systems Survive
LeverageCollapseAnchor: Meadows, Thinking in Systems β€” Ch. 6–7Reading: Taleb, Antifragile β€” Ch. 1–3
Resilience is not stability; it's the capacity to absorb disturbance and reorganize. Diversity, redundancy, modularity, slack: the structural features that create resilience β€” and why they're systematically optimized away in the pursuit of efficiency.
β†’ Efficiency is the opposite of resilience. We've been optimizing the wrong thing.
12
Leverage Points: Where to Push
Leverage↗ SB-1972 cross-linkAnchor: Meadows, "Leverage Points: Places to Intervene in a System" (essay — read it three times)
Meadows' famous essay. Twelve places to intervene in a system, ranked from least to most powerful. Why the interventions people reach for first are almost always the weakest.
β†’ The weakest interventions are the ones everyone reaches for first.
13
Unintended Consequences and Policy Resistance
LeverageReading: Sterman, "Learning from Evidence in a Complex World" (paper)
Why well-intentioned interventions so often make things worse. The cobra effect. Policy resistance is not a sign of bad implementation β€” it is the system defending its current equilibrium.
β†’ Good intentions plus structural ignorance equals the cobra effect.
Moby
14
Narrative Failure as a Systems Problem
Leverage↗ SB-1971 · ERTH-201 Unit III · AMST-210Reading: cross-links only — no new primary texts this session
Why do people fail to see complex systems even when the evidence is in front of them? The stories we tell about systems actively prevent us from seeing how they work. Dominant narratives function as complexity-reduction strategies.
This is the hinge between the analytical course and the literary one. SB-1971 is about exactly this β€” whose story shapes what's visible. ERTH-201 Unit III β€” how stories fail at the scale of thermodynamics. AMST-210 β€” how a political movement uses narrative to reorganize what's seeable.
β†’ The story that makes the system legible is usually the same story that hides how it actually works.
15
Return to Start
LeverageAnchor: Meadows, Thinking in Systems β€” "Living in a World of Systems"
Return to Session 1's traffic jam. Name three complex systems in your life β€” one personal, one institutional, one at civilizational scale. For each: where is the primary feedback loop? Where is the leverage point? What are you currently doing, and is it high-leverage or low-leverage?
You cannot master complexity. You can stop being surprised by it. That is what this course was for.
β†’ You can't master complexity. You can stop being surprised by it. The traffic jam is still there. Now you can read it.

Unit III Checkpoint

Pick one system you care about and identify where you are currently trying to intervene. Using Meadows' leverage point hierarchy: is your current intervention high-leverage or low-leverage? What would a higher-leverage intervention look like? What would it cost β€” socially, politically, practically β€” to attempt it? Be specific.

Certificate Threshold

Units I–III complete. The course is finished. What follows is not.

The Synthesis Track requires the full course as its foundation. It is where you take the toolkit you've built and run it on something the syllabus didn't choose for you. This is the only type of track at BoopU with a prerequisite. It is also the only one where nobody tells you which system to analyze.

Synthesis Track Systems Thinking in Practice Gated Β· requires Units I–III
S1
Leverage Points: Applied
LeverageReading: return to Meadows leverage points essay with your chosen system in hand
You've chosen a system. Now apply the full leverage point hierarchy to it β€” not as an exercise, but as an analysis you would actually act on.
β†’ You already know where the leverage is. The question is whether you're willing to push there.
S2
Unintended Consequences: Your Intervention
LeverageReading: return to Sterman, "Learning from Evidence in a Complex World"
Your proposed intervention from S1 has a countermove. Name it. Then name the countermove to the countermove. Use Sterman's framework to map the ways your system will defend its current state.
β†’ The cobra effect isn't a gotcha. It's a design constraint. Design around it.
S3
Systems Thinking as a Practice
LeverageAnchor: Meadows, Thinking in Systems β€” "Living in a World of Systems"
The goal was never to master complexity; it can't be mastered. This session is a design exercise: what does your personal systems practice look like going forward? Name three habits. Make them specific enough to actually do.
β†’ Systems thinking is not a conclusion. It's a practice you keep up.

Course Connections

APMA-115 is the structural course. POLS-101 maps political systems; this course explains why those systems behave as they do regardless of who's in them. COGN-120 explains why humans are so poorly equipped to perceive complex systems. ERTH-201 is the primary home for Tainter, Catton, Smil, and Hagens β€” if this course left you wanting more depth on energy and civilization, that's where to go next.

Reading List

Required Texts

  • Mitchell, Melanie Complexity: A Guided Tour The friendliest on-ramp to the whole field. Start here.
  • Meadows, Donella Thinking in Systems: A Primer Read it. Then read it again. It gets better.
  • BarabΓ‘si, Albert-LΓ‘szlΓ³ Linked Network theory, made human. Hard to put down.
  • Strogatz, Steven Sync The mathematics of coupled oscillators, written for humans.
  • Holland, John Emergence
  • Catton, William Overshoot 1980. Ahead of its time by decades. ERTH-201 is the deep home.
  • Meadows, Donella "Leverage Points: Places to Intervene in a System" Essay. Read it three times.
  • Sterman, John "Learning from Evidence in a Complex World" Paper. The policy resistance framework.

Recommended

  • Gleick, James Chaos The book that started a popular science genre. Still the best.
  • Watts, Duncan Six Degrees
  • Taleb, Nassim Nicholas Antifragile Systems sections only.
  • Tainter, Joseph The Collapse of Complex Societies Primary home is ERTH-201; this is the intro version.
  • Homer-Dixon, Thomas The Upside of Down
  • Johnson, Steven Emergence

For the Super Ambitious

  • Bar-Yam, Yaneer Dynamics of Complex Systems The full mathematical treatment.
  • Newman, Mark Networks Full text. Dense. Definitive.
  • Georgescu-Roegen, Nicholas The Entropy Law and the Economic Process The thermodynamic critique of economics.

Watching

  • James Burke Connections (1978) Ten episodes. Shows how everything connects to everything else.
  • BBC / Jim Al-Khalili The Secret Life of Chaos (2010) Emergence and self-organization. 60 minutes. Essential.

Get the Books

Every book on this list is available as a curated wishlist on Bookshop.org. One click, independent bookstores supported, no hunting around.

View the Reading List β†’

Assessment

Per Session

Boop Logs

One paragraph per session. One real-world system, one feedback loop, one thing that surprised you. No summary. No textbook voice.

Per Unit

Unit Checkpoint

One system, one framework, one full application. See the checkpoint prompt at the end of each unit. Two pages max.

Unit Complete

Your Avatar Advances

Finish the boop logs and checkpoint for a unit and you're through it. No partial credit. No grade. You did it or you didn't.

3 Units

Certificate of Completion

Complete all three units and you've finished the course. A certificate is issued. The system, for once, is transparent about what it wants from you.

Synthesis Track

Apply the Toolkit

Requires Units I–III. Pick a system the syllabus didn't choose. Run the full framework across three sessions.

A Note on Boop Logs

The boop log is not a reading summary. It is a field report. You are looking for the moment when the framework touched something real. If your boop log could have been written without taking this course, rewrite it.

Mobocoin Ledger Β· APMA-115

Mobocoin
Earn MC for completing this course.
Learn how Mobocoin works β†’
Boop logs (15 sessions)+15 MC
Unit checkpoints (3 units)+6 MC
Course completion+5 MC
Total Available 26 MC
+ Synthesis Track (3 boop logs + synthesis response) +4 MC
A Note on This Course

I built this course because I kept running into smart, well-informed people who were completely blindsided by things that were, in retrospect, structurally inevitable. Not bad people. Not uninformed people. People who had excellent models of individual behavior and almost no models of emergent system behavior. The 2008 financial crisis. Political radicalization. Supply chain collapse. Pandemic spread. Each time: "nobody could have predicted this." Each time: someone had, in fact, predicted exactly this, using the frameworks in this course.

This is not a course that will make you feel better about the state of the world. It is a course that will make the state of the world legible to you in a way it wasn't before. Legibility is not comfort. But it is the precondition for doing anything useful. The traffic jam is still there. Now you can read it.

β€” Faculty TBD Β· Institute for Systems and Complexity