Intro: Why the Science Project Begins With Entities

Every scientific discipline, no matter how abstract or mathematically refined, is ultimately grounded in a decision about what exists in its domain. Before a science can measure anything, model anything, explain anything, or test anything, it must first specify the fundamental kinds of things that populate the world it is trying to understand. This is why the first step of the Science Project is to establish the ontology: the inventory of entities, the properties they possess, and the categories to which they belong. Without this foundation, nothing else in the framework has stable meaning. Boundaries cannot be drawn because there is nothing to enclose. Variables cannot be defined because there is nothing to vary. Measurements cannot be performed because there is nothing to measure. Patterns cannot be discovered because there is nothing to exhibit them. Causal explanations cannot be constructed because there is nothing to interact. Even the language of theory remains empty unless it refers back to a declared set of things that genuinely exist within the domain.

Listing the entities is therefore not an academic nicety; it is the structural act that gives the science its subject matter. Every property depends on an entity that possesses it. Every measurement depends on an entity that expresses it. Every model depends on entities that serve as its components. Every idealization depends on entities that are simplified. Every theoretical principle depends on entities that obey it. Every method of inquiry depends on entities that can be observed, manipulated, or inferred. Coherence itself—consistency across definitions, compatibility across models, comparability across experimental results—requires that all scientific claims ultimately refer to the same underlying ontology. Without a clear entity list, the domain becomes unstable, and each layer of the scientific structure risks drifting into contradiction with the others.

Beginning with entities also determines the limits of the science. A domain is defined by what it includes, and what it includes is determined by the inventory of its basic kinds of things. Once the entity set is chosen, the boundaries of the field become explicit rather than vague. It becomes possible to say what properly belongs to a discipline and what lies outside it. This is how physics can distinguish itself from metaphysics, how biology can distinguish itself from chemistry, how economics can distinguish itself from psychology. These distinctions are not arbitrary; they follow directly from differing commitments about the entities each field takes as fundamental.

In this way the entity list serves as the root node from which all other structures in the Science Project grow. Properties, variables, measurement systems, observational protocols, causal architectures, formal models, idealizations, unifying theories, and methodological standards—all of them depend on the initial declaration of what exists. Choosing the ontology first is therefore both logically necessary and practically unavoidable. It anchors the entire framework, stabilizes every downstream decision, and ensures that the science retains internal coherence as it grows in scope and complexity. Starting with entities is not simply the cleanest way to build a discipline; it is the only way that guarantees conceptual clarity, operational consistency, and long-term structural integrity across the entire scientific enterprise.