LAB OS — PART III PRACTICE ｜ APPENDIX 07-A

Knowledge Map

Knowledge Map — What you need to know to advance your research. By when, and for what

Once you start writing a Paper Card, you hit places you cannot write. You cannot write the Field Belief because you lack the basics of the field. You cannot pose an estimation-type question because you lack the way of thinking of inverse problems. This map is the place to come back to when you get stuck.

How to use

Each item says "where it matters on the Paper Card." Look it up backward from the stage where you are stuck
"Undergraduate course" corresponds to the curriculum of the Department of Mechanical and Aerospace Engineering. Fill in courses you missed by self-study
"By when" is a guide. You need not acquire everything as a B4. B4: the foundation and the basics of your own team; M: specialization; D: crossing over
One book per item. It means "if in doubt, start here" — it does not exclude others

(★ = course or book name still being finalized. To be filled in progressively)

I Foundation shared by both teams

Discipline	What for (where it matters on the Paper Card)	Undergraduate course	One book for self-study	By when
Theory of inquiry	To advance research as design. Lab OS 01–02 itself	—	Lab OS 01–06 ／ Suzuki, Yamaguchi & Yanagisawa (2025), Bulletin of JSSD	B4, first semester
Inverse problems and Bayesian estimation	Identifiability and uncertainty of estimation-type questions (03-A). Validity figures (Figures). Quantifying "discrepancy and unknowability"	★ (numerical analysis / probability and statistics)	Tarantola, Inverse Problem Theory ／ for an introduction, ★	B4 second semester – M1
Statistics	The form of evidence in induction (data-first). Unbiasedness, reproducibility, confidence intervals (Results)	★ (probability and statistics)	★	B4
Programming	Everything. Python and Git are the lab's common language	★ (programming exercises)	Notion「コードの書き方（Python）」「GitHub の使い方」	B4, first semester
Scientific English	From the Core Question of Framing-A to the Draft. How much you read decides how much you write	★	Writing Papers — Overview lecture ／ Nature Masterclasses	Ongoing
Basics of the philosophy of science	Falsifiability, model assumptions, correlation and causation (Lab OS 02 III)	—	One book from the references of Chapter 02 (Popper or Pearl)	M

II Team Rock｜Inquiry into the subsurface

Discipline	What for	Undergraduate course	One book for self-study	By when
Fluid mechanics, heat transfer, thermodynamics	The laws that describe subsurface heat and fluid flow. The f of the forward problem	★ (fluid mechanics / heat transfer / thermodynamics)	★	B4, first semester (in courses)
Reservoir engineering	The Field Belief of geothermal systems. What is known, what is presupposed (Framing-A Step 1)	—	Grant & Bixley, Geothermal Reservoir Engineering	B4, second semester
Numerical simulation	Testing hypothesis-first (deduction). Prediction vs observation figures	★ (numerical analysis)	★ (a TOUGH-family manual, or an introduction to finite difference / finite element methods)	M1
Rock properties, geology, fractures	The whole picture of the object (question figure). The physics of fracture networks	★ (mechanics of materials / elective geoscience courses)	★	M1
Machine learning	The data-first entry. Surrogates, accelerating inversion. Distribution shift (03-A E/D)	★	★	M1–M2
Geothermal development practice	Drilling, well testing, power generation. The interface with society ("Why geothermal and society" in Chapter 07)	—	★ (Geothermal Research Society of Japan materials, NEDO reports)	M

III Team Society｜Inquiry into society

Discipline	What for	Undergraduate course	One book for self-study	By when
Free energy principle, active inference	The mathematics of passive and active inquiry (Chapter 02). Formalizing frames (Chapter 07)	—	Inui & Sakaguchi『自由エネルギー原理入門』／ Friston (2006)	B4, second semester
Cognitive science, Kansei engineering	The mathematics of "excitement" (Yanagisawa). The relation between emotion and information acquisition	★	Yanagisawa (2022, 2023), Journal of JSDE ／ Yanagisawa (2021) Front. Comput. Neurosci.	M1
Design research	Frames, reframing, solution and exploration cycles (the boundary in Chapter 02)	—	Schön & Rein, Frame Reflection ／ Dorst (2011) ／ Yamaguchi & Monnai (2014)	M1
Social research methods, qualitative research	Interview design, coding, ethics review. Team Society's Methods	★	★	M1 (before data collection)
Network science, visualization	Structuring opinions and frames (Frame Map). UMAP, graph analysis	★	★	M1–M2
Consensus building, energy policy	The Field Belief of community co-creation. What has already been tried, what has failed	—	Suwa et al. (2018)『コミュニティと共生する地熱利用』	M

IV Crossing over: what to acquire as a D

The other team's foundation: Team Rock students learn the free energy principle; Team Society students learn inverse problems. Understand, at the mathematical level, that both teams share the same form of question — "estimate invisible structure from limited observations"
Cross-disciplinary question archetypes (03-A): practice finding them in papers outside your own field
Research funding and ethics: Research Funding & Budget lecture (in preparation)

Guide by academic year

	B4	M1	M2	D
Shared foundation	Theory of inquiry, statistics, Python/Git	Inverse problems and Bayes	Philosophy of science	—
Your own team	Basics from undergraduate courses + one book in the field	2–3 specialized items	The rest	The other team
Relation to the Paper Card (Chapter 08)	Complete one full cycle: experience Idea → Framing → Figures → thesis Draft, with support	Design the Framing on your own (axis fixed by mid-M1)	Complete one Original	Define an axis and tie together a Review and several Originals

It is fine to miss the "by when." The time to learn is when you need it. But look at where your Paper Card is stuck, and be able to say where in this table to go back to.