Research Philosophy and Guiding Principles
A framework for complexity-informed, embedded, and iterative health systems inquiry
Context
The Netiv Institute for Health Systems Thinking approaches health systems research not as a collection of discrete studies, but as a sustained, evolving inquiry into the structural conditions that shape how health systems behave, adapt, and change. The principles articulated here do not describe a methodology, nor do they prescribe a particular suite of methods or analytical techniques. Rather, they set out the epistemological commitments and general principles that guide how Netiv approaches any research question — assumptions about the nature of health systems, about what constitutes meaningful knowledge, and about the obligations that arise from generating knowledge from within and among living systems.
These principles are mutually reinforcing rather than independent, and several exist in productive tension with one another, requiring ongoing reflective negotiation. Together, they constitute a research philosophy that is coherent, distinctive, and responsive to the persistent limitations of conventional health systems research approaches that have too often struggled to produce insights that are both scientifically rigorous and meaningfully operational in practice.
Complexity-Informed
The health system is not a problem to be solved; it is a living entity to be understood.Netiv's research is grounded in the recognition that health systems are complex adaptive systems: nonlinear, emergent, and resistant to prediction or central control. This means that Netiv does not seek to identify simple cause-effect relationships or produce prescriptive solutions. Instead, it attends to patterns of emergence, feedback dynamics, and structural conditions that shape system behaviour over time. Research questions may be similarly emergent and cannot always be fully specified in advance, because the system itself is continuously evolving in response to perturbation.
This principle is the foundation from which all others follow. It is what distinguishes Netiv's research agenda from those that treat health systems as complicated rather than complex, and it is the source of the Institute's most distinctive methodological commitments.
Embeddedness
Knowledge of the system must be generated from within it.Embeddedness is often justified in pragmatic terms of securing access, building trust, or enhancing practical relevance. These are not trivial advantages, but for Netiv, embeddedness carries a stronger justification: it is epistemologically necessary. The structural conditions that make certain behaviours easy, natural, and self-reinforcing within a health system are only observable from within that system, and only over time. Netiv’s research will always be carried out as part of and embedded within the systems it studies. This positioning creates the conditions for the kind of sustained, proximate inquiry necessary to understand the evolution of any complex adaptive system.
Critically, however, Netiv operates as a liminal entity: embedded within, but not governed by any one system’s operational structures. This is what makes embeddedness productive rather than constraining, by preserving the independence needed to ask difficult questions while maintaining the relational proximity needed to observe the system as it actually operates.
Iterativity
Research is a continuously evolving process, not a linear progression toward a fixed endpoint.A complexity-informed understanding of health systems carries a direct implication for research design: inquiry cannot be structured as a linear arc from question to answer, because the system being studied is itself continuously evolving. Netiv's research is organized around iterative learning cycles in which empirical findings at each stage update the working model of the system, surface new hypotheses, and shape the design of what follows. This iterativity will always be theory-driven, and shaped by Netiv’s evolving structural understanding of the system — the patterns of emergence, feedback dynamics, and mechanisms surfaced through ongoing inquiry. Each cycle deepens the analytical foundation from which the next begins.
This principle is what allows Netiv to remain responsive to what the system is doing, rather than executing a research plan designed before the inquiry was fully underway. It is also what enables knowledge to be produced and shared throughout the research process, rather than accumulated and released only at its conclusion.
Openness and Transparency
How understanding evolves is as important as what it concludes.In a framework defined by adaptive design and emergent questions, transparency of process becomes a primary mechanism through which rigour is achieved. Transparency offers visibility into how questions are formed, and how evidence shapes interpretation of results and adaptation into new topics and questions.
The same commitment to iterative inquiry that allows Netiv to adapt its research in response to emerging understanding creates an obligation to document that evolution rigorously. This means maintaining clear records of how research questions shift, how working models are revised, and what evidence or reasoning drove each adaptation, so that the trajectory of inquiry is itself accountable. Transparency also extends to knowledge dissemination: Netiv produces and shares knowledge outputs throughout the research process, not as polished final reports alone, but as working insights, methods notes, and conceptual frameworks that invite engagement and critique from the broader field. This reflects a commitment to research as an ongoing, public, and collaborative enterprise rather than a closed internal process.
Epistemic Pluralism
Different questions require different ways of knowing; none is inherently superior.Netiv does not privilege any single methodological tradition. Quantitative system modelling, qualitative inductive research, computational signal detection, ethnographic observation, and the experiential knowledge held by clinicians, administrators, and patients are each treated as legitimate and complementary means of generating insight about complex systems. The choice of method follows the question, not the other way around. This principle is grounded in the recognition that a complex adaptive system cannot be adequately understood from any single epistemic vantage point, and that different forms of knowledge illuminate different dimensions of system behaviour. Epistemic pluralism, in this sense, is a direct implication of taking complexity seriously.
Reflexivity
Researchers are part of the systems they study.The research team is embedded in the systems it studies, which blends the researchers’ roles as both insider and outsider. This opens opportunities for deeper and more culturally aware insights than might otherwise be possible, but also introduces the potential for bias, within certain paradigms. A commitment to reflexivity (documenting positionality, surfacing assumptions, tracking how the researchers' own sensemaking evolves) is both methodologically necessary and consistent with Netiv's complexity epistemology. This also pairs naturally with openness.
Sustained reflexive practice is what distinguishes embedded inquiry that meets standards of academic legitimacy from inquiry that merely produces insider accounts, and, as a result, what allows embeddedness and iterativity to become conditions for knowledge that is both rigorous and irreplaceable.
Co-Production
System actors are knowledge holders and creators, not research subjects.Netiv treats clinicians, administrators, patients, and community partners as genuine epistemic collaborators whose interpretations of system behaviour, experience of structural conditions, and practical knowledge of what does and does not work constitute forms of data, not merely contextual background. Co-production means designing research with these actors rather than on them: involving them in framing questions, interpreting findings, and determining which insights are actionable and how. This implicates a commitment between Netiv and its partners to shared authorship of knowledge that emerges from a recognition that embedded actors have access to forms of understanding that cannot be obtained through external or arm's-length inquiry.