Given that "How do we know that we can trust science?" is a "paradigmatic foundational question" for complex systems, how might Lawhead's concept of 'Dynamical complexity' offer a novel approach or framework for understanding and addressing the basis of scientific trust, especially in light of how these systems change over time?

From the book

t we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer, at that ). Chapters One, Two, and Three of this work will focus on foundational questions. Specifically, Chapter One outlines a novel approach to philosophy of science based on recent advances in information theory, and lays the groundwork for applying that approach to the ​ problem of climate science. Chapters Two and Three review some contemporary work being done in complexity theory, with a particular focus on attempts to define and quantify the notion of “complexity” itself, then…

formation-theoretic objects (signals, for instance) rather than the physical and social systems ​ studied by scientists. Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of “effective complexity” developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as…

disciplinary and holistic methods of climatology can help us better understand the nature of complex systems in general. Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. ”How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like “what makes a system complex?” also fall into this category. There are a number of existing definitions of ‘complexity,’ and while all of them capture…

with a system of high dynamical complexity, and think about and how have those challenges been met in different fields. We’ll examine why it is that scientists care about dynamical complexity, and what can be learned by assessing the dynamical complexity of a given system. In Chapter Five , I’ll synthesize the two threads that have, up to that point, been pursued more-or-less in parallel and argue the global climate is a paradigmatic dynamically complex system. We’ll examine how that fact has shaped the methodology of climate science, as well as how it has given rise to a number of unique…

ical complexity is that complexity, at least as it concerns science, is a feature of active, changing, evolving systems. Previous attempts to define complexity have overlooked this fact to one degree or another, and have tried to account for complexity primarily in terms of facts about the static state of a system. Dynamical complexity, on the other hand, tracks facts about how systems change over time, and (moreover) embraces the notion that change over time can be tracked in numerous different ways, even for a single system. If our account of science from Chapter One is right—if science is…