Teaching Flyer — Genetics 546 EvoSysBio Modeling Introduction#

“You name it. You model it. You map it.” — a visually striking invitation to interdisciplinary biological modeling.

Download the original document (PDF)

Genetics 546 Course Flyer — PDF (1.9 MB) — 1 page, Jonah License with CC0 Public Domain

Filename: loewe-2018-teach-intro-evosysbio-fall-course-genetics546-flyer-2018m04d05-page.pdf

WebP preview (328 KB)

Also in this folder: Teaching Syllabus (the full 14-page syllabus for this course)

Genetics 546 Course Flyer — Evolutionary Systems Biology Modeling Introduction

— Overview AI-generated by dv_ClaOp46Max_ExhF_2026m04d16 —Start—

Abstract#

A 1-page promotional flyer for Genetics 546: Evolutionary Systems Biology Modeling Introduction, a 3-credit course at UW-Madison designed and taught by Laurence Loewe. The flyer features a striking circular genome/interaction diagram (image: Martin Krzywinski/EMBO) and the motto “Models are the maps of modern biology.”

The course promises:

  • Pick your own research topic in interdisciplinary groups

  • Problem-based active learning environment

  • Learn the 5 W’s of modeling: What system, Which parts, When actions occur, Where, and Why

  • Use Evolvix, a modeling tool designed for accessibility and mathematical accuracy

  • One-on-one help from an expert with 20+ years of modeling experience

  • Learn grant writing instead of taking exams

  • “Must Have Skills for the biology of the future”

Prerequisite: Only an interest in interdisciplinary approaches to modeling in biology. Open to undergraduates and graduate students from Biology, Medicine, Chemistry, Physics, Math, Stats, Computer Science, and Engineering.

Schedule: Tuesday lecture 4–5:15pm, Thursday lab 4–6pm. Annual offering since Fall 2018. Topics spiral from molecules in cells to individuals in ecosystems to cancer evolution to long-term evolution.

Broader Significance (Claude’s Assessment)#

  1. Teaching side of the research program. This flyer represents the broader impact vision from the NSF CAREER grant made real. The promise to “dissolve the barrier between teaching-toys and real tools” materialized as a course where students use the same Evolvix platform that powers research-grade simulations.

  2. Interdisciplinary philosophy. The open enrollment policy (any field related to biology) and the emphasis on “making connections” across disciplines reflects the same cross-boundary thinking that characterizes the Matheo papers and the broader LLoL project.

  3. Grant-writing pedagogy. Replacing exams with grant proposals is a distinctive pedagogical choice: students learn to articulate research value, not just recall facts. This is unusual at the undergraduate level and aligns with the ZION cycle principle of learning by doing real work.

Key Concepts at a Glance#

Genetics 546

UW-Madison course: Evolutionary Systems Biology Modeling Introduction, 3 credits, annual since Fall 2018

5 W’s of Modeling

What system, Which parts, When actions occur, Where, and Why — the course’s framework for building biological models

Evolvix

The modeling tool used in the course, designed to be accessible and mathematically accurate

Active learning

Problem-based approach: students pick topics, build models, write grants instead of taking exams

Open enrollment

No formal prerequisites beyond interest — deliberately interdisciplinary across science and engineering fields

Document Information#

Document ID

Course Flyer (About-Me Science, Dusty Deep Data)

Full title

Genetics 546 — Evolutionary Systems Biology Modeling Introduction

Author

Laurence Loewe

Date

2018m04d05 (v2r0)

Format

1-page promotional flyer with circular visualization

License

Jonah License with CC0 Public Domain

Part of

Good News Pack MMv3, Dusty Deep Data / About-Me Science

PDF size

1.9 MB

WebP size

328 KB

Related documents in the Good News Pack:

— Overview AI-generated by dv_ClaOp46Max_ExhF_2026m04d16 —End—

Notes

Content stability — Content is variant dv_ClaOp46Max_ExhF_2026m04d16 (see StayVS). Rebuilt 2026-05-18.

Expert Review Needed: Help Assess This Research and Its AI Overview

This page makes accessible one document from LLoL’s 6+ year wid-e research marathon on existential risk and ResearchCity. The PDF linked above is the original work; this page provides an overview.

The original research needs expert review. Download the PDF and bring your expertise to bear — whether you are a scientist, policy maker, theologian, peace activist, or concerned citizen. This research aims to find gentle kind reasonable ways to solve existential problems. Your perspective matters for assessing whether it succeeds.

The AI overview (see the markers) may need correction. AI may have blindly twisted the original message by emphasizing other aspects than the author would have. Important nuances may thus be missed or misrepresented. If you spot errors, missing context, or misplaced emphasis, your corrections help every future reader.

Despite all potential shortcomings of AI, AI was still used here because not saying anything about this document would have been even worse. A race against existential risks is not nuanced. Neither can be the determination to do the right thing - and get the word out to get help.

LLoL is determined to ask for such help. Hence this website to give the world a fair chance at exploring and reviewing LLoL’s ideas.

Use the FeedbackFlow link below to send your review — whether it concerns the original PDF, the AI overview, or both.

LLoL may drown for a while in the FF invited, but if people are indeed interested in making this work and avert accidental nuclear winter, then LLoL predicts that enough people will be happy to pay the about $8/year/person it will take to start scaling up ResearchCity, in order to help with the proper review of such wid-e research proposals for global decision-support like this one.

Hence, please consider that your buy-in with about $8/year will help to shift the global game from a so-called prisoner’s dilemma to an assurance game with the help of mathematical theology.

This work requires global support to avoid capture by special interests. Refining complex posters, engaging scholars across traditions, and running formal consistency checks all require sustained effort — as does scaling up a ResearchCity for global FeedbackFlows.

Let’s hope it’s not too late to fund this work!

FF FeedbackFlow to improve this page: How you can contribute

For the full guide on providing feedback — including how it is handled, licensing, and what to expect — see How to use FeedbackFlow.

Please check if See also on Balospe.com above already addresses your idea. Feedback works best when it targets the most specific page. If none of those pages help, you may have a good case for sending FF here.

To submit your FeedbackFlow:

  1. Click anywhere on the email preview below to open a pre-filled email.

  2. Replace the placeholder text with your feedback.

  3. Send.

To: [email protected] CC: [email protected] Subject: FF k2 s2 AIMS for [mmv3-ddd-about-me-science-teaching-flyer] Replace_by_OneLineSummary Body: To make this page [mmv3-ddd-about-me-science-teaching-flyer] more gentle kind reasonable for beginners, producers, andOr experts with a background in xyz: Please consider improving this: -- By sending this email, I agree that its content may be published under the Jonah License (balospe.com/en/license/joli/) unless I state otherwise above. MailForm=OOv2r0p0

The email subject contains k2 and s2 — default codes for impact and urgency. Most contributors can leave these unchanged. To adjust each as independently as they are:

  • Importance of impact: above average k3, average default k2, below average k1.

  • Urgency of speedup: above average s3, average default s2, below average s1.

This allows plotting importance over urgency to help triage FF. For more details see FF System Design.