This website is presented as a Layered Narrative Scholarly Archive. Rather than simply preserving the documents and outputs of a completed research project, the archive reconstructs the scientific journey that led from an initial question to a family of mathematical models, computational simulations, scholarly publications, and broader conceptual insights. Readers may explore the archive at different levels of depth—from an introductory overview intended for the general public to detailed discussions of the mathematical and computational framework—according to their own interests and background.
One of the distinguishing characteristics of scientific inquiry is the ability to recognize that the same underlying principles can explain phenomena that appear, at first glance, to be entirely unrelated.
Mathematical epidemiology provides one such example. Although originally developed to describe the transmission of infectious diseases, its fundamental concepts of interaction, transmission, recovery, intervention, and resilience have proven applicable to many other forms of contagion, including the spread of ideas, behaviors, addictions, misinformation, and social influence. Recognizing these common principles allows seemingly unrelated phenomena to be studied within a unified computational framework.
This research explored an unconventional but scientifically meaningful question: Can fictional epidemiological events serve as computational abstractions for studying real-world contagion processes? Rather than treating fictional narratives merely as entertainment, the project investigated how they could be transformed into mathematical models and computer simulations that reveal broader principles governing transmission, rehabilitation, and recovery within complex systems.
Scientific research is more than the discovery of new knowledge; it is the development of new ways of seeing, thinking about, and ultimately understanding the world.