Theory, Concepts & Frameworks
Scientific understanding depends not only on data, but on the conceptual structures through which observations become comparable, interpretable and open to testing.
This section explores the development of interdisciplinary theories and conceptual models connecting biology, cognition, ecology and complex organisational systems. It brings together publications on biological organisation, emergence, adaptation, relational structure, state dependence, cross-scale explanation and the construction of testable scientific frameworks.
Interstitium uses this field as a space for questions that arise between established disciplines. Many biological problems cannot be understood adequately within the vocabulary of a single field. Concepts developed in ecology may illuminate cognition; principles of biological regulation may inform medicine; and models of organisation may connect molecular processes with organismal and environmental dynamics.
The focus is not on abstraction for its own sake. Conceptual frameworks are examined as scientific instruments: they organise evidence, distinguish explanatory levels, define relevant variables and generate relationships that can be investigated empirically. Their value depends on conceptual precision, explicit scope conditions and the possibility of refinement, comparison or rejection.
The publications in this area develop theories, models and research perspectives intended to clarify complex problems without reducing them prematurely to isolated mechanisms. They examine how explanatory structures can connect heterogeneous evidence while preserving the differences between molecular, physiological, cognitive, ecological and cultural processes.
At its core, this section asks how new conceptual structures can make complex biological relationships scientifically intelligible.
Scope
This section examines the construction, evaluation and application of conceptual and theoretical frameworks across the life sciences and related fields.
It brings together publications on biological organisation, cognition, evolution, ecology, complex systems, emergence, regulation, adaptation, relational models, multilevel causation and state-dependent responses. The central concern is how concepts and models can connect processes across scales without confusing analogy with mechanism or conceptual coherence with empirical validation.
The focus extends across theoretical biology, philosophy of biology, systems biology, cognitive science, neuroscience, ecology, evolutionary theory, medicine and complexity science. Common to these fields is the challenge of explaining phenomena that arise through interactions among multiple components, levels and contexts.
Topics include interdisciplinary model building, conceptual synthesis, organisational principles, explanatory levels, feedback, emergence, context dependence, system states, scale transitions, model comparison, operationalisation, testability and the translation of theoretical propositions into research programmes.
Guiding Questions
How can conceptual frameworks connect molecular, organismal, cognitive and ecological processes without collapsing their differences?
When does a conceptual model become a scientifically testable framework?
How can biological organisation be treated as an explanatory dimension rather than as a descriptive metaphor?
Can systems with similar components behave differently because their relations, histories or states differ?
How do feedback, emergence, adaptation and context dependence alter conventional accounts of biological causation?
How should analogy, hypothesis, mechanism, model and theory be distinguished?
What makes an interdisciplinary framework genuinely integrative rather than merely broad?
How can conceptual models be operationalised, compared, refined or rejected through empirical research?
What is lost when complex biological problems are divided too early among isolated disciplines, explanatory levels or linear mechanisms?
Selected publications
The following publications develop interdisciplinary theories, conceptual models and research-oriented perspectives across biology, cognition, ecology and complex systems. Their aim is to clarify terms, organise evidence, expose hidden assumptions and generate relationships that can be investigated, refined and translated into formal scientific research.