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A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
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I. Our Personphere Edition: A 21st Century, Planatural philoSophia, eLibrary of eCosmos Resource

C. Earthropo Sapience: A 2020s Convergent, Common, One Code, UniVerse to PediaVerse Genesis Synthesis

Kuppers, Bernd-Olaf. The Language of Living Matter: How Molecules Acquire Meaning. International: Springer Frontiers, 2022. This latest, significant work by the University of Jena natural philosopher and long colleague of Manfred Eigen (search each) is an opus summary of his lifetime endeavor to articulate a more viable explanation of how life began and developed as an oriented evolution. Into the 2020s a considerable finding is reached that a linguistic, informative ability and content appears to be nature’s most distinctive quality. In regard, a strong affirmation to date of a double occasion with a textual, biomolecular, genetic-like narrative from universe to humanverse is achieved. We include several quotes to convey its contribution.

This book by an eminent philosopher provides strong evidence for the claim that language is a general principle of Nature, rooted deeply in physical and chemical laws. The author’s central concept then leads us to view the essence, origin and evolution of life in a completely new way. To justify this far-reaching idea, the book takes a long and deep look at our scientific thinking, at language as such, and at science’s methods, unity, limits and perspectives. These concerns and resolves are covered in six thematically self-contained chapters, rounded off by an epilogue that introduces the new topic of Nature’s semantics. The range of issues covered is a testimony to how progress in the life sciences is transforming the whole edifice of science, from physics to biology and beyond. (Publisher)

Chap. 1: Language: Gateway to the World Starting from the idea that the world is recognizable to us because it is structured like a language, this chapter develops how this concept courses from its version human to the language of structures. A notable, common feature of linguistic forms is their inherent context-dependence. While apparent in our own speech and script, it also applies to quite different areas such as quantum physics, genetics, Gestalt psychology, sociology and epistemology. (Abstract excerpt)

Truth: The Regulative Principle of Cognition This chapter follows a historical line of philosophical thinking that led to modern linguistic philosophy which brought language to the center of epistemology. By this review we can perceive philosophical thought as a language mechanism generating new figurations by ever recombining and crystallizing a finite set of elementary ideas — just as biomolecular substances originate from a small set of chemical elements. (Excerpt)

Epilog: Nature’s Semantics Animate Nature can be considered figuratively as the book of life. Just as the words of a written text combine to form a meaningful whole, evolutionary beings form a diverse complex network of interactions. In other words, the language of Nature is, as it were, the “hyperlanguage” of living matter. To deal responsibly with Nature, we have to take account of her semantics at the borderlines of construction and destruction, stability and instability, order and chaos. Only in this way can the dynamic order of Nature be maintained in the face of invasive human activity. (Excerpt)

Indeed, the mechanistic view of the world leaves no room for teleological explanations. Yet, the idea that Nature arose from a purpose-oriented Divine rationality has persisted to the present day. This spiritual sense also moves many scientists. For a long time, a picture of Nature as a harmonious order with a textbook-like character to help understand reality. In this way, our human efforts to gain some comprehension often were seen as attempts to read the “Book of Nature.” Thus over the centuries many endeavors sought better interpretations, now into the 21st century. When the human genome was first sequenced in 2001, a Book of Life phrase was used. (11) The German philosopher Hans Blumenberg (1920-1996) often referred to a book metaphor as the “readability of the world.” (11)

The universal language that we are looking for is one of abstract structures. As Galileo famously cited, it is written in a mathematical script. We may even be on the verge of a new “Copernican revolution.” The thesis that the world has the structure of a language could lead to such a revolution in our understanding. (13) However, we shall go one step further and ask whether language is a general principle of Nature that exists independently of ourselves and already becomes manifest in essential living matter. A strong indication of the scope of this working hypothesis is found in the deep parallels between human language and the language-analog structure of genes. (16)

Kverkova, Kristina, et al. The Evolution of Brain Neuron Numbers in Amniotes. PNAS. 119/11, 2022. Charles University, Prague paleo-neuroscientists deftly reconstruct the evolution of brain neuron number across an entire range of Metazoa species and found that after fish and reptiles, birds and mammals have much larger quantities in cerebral areas meant for higher cognition. It is noted that several major changes in neuron brain scaling in the past 300 million years indeed appear to be oriented to an increasing degree of intelligence. The group effort has achieved the strongest evidence to date of how life’s emergent sensory stirrings can be known to have this central edification. The paper has vivid illustrations of relative creaturely advances in body and brain anatomies, which well evince a grand learning experience.

A reconstruction of the evolution of brain information-processing capacity is vital to understandings the rise of complex cognition. Comparative studies long used brain size as a proxy. However, to get a better sense of paths leading to high intelligence, power, we need to compare brains by large datasets of computational neurons. We find Amniote brain evolution to be tracked by four major shifts in neuron–brain scaling. The most dramatic increases in brain neurons occurred independently with the appearance of birds and mammals. The other two rises in neuron numbers happened in core land birds and anthropoid primates, known for their cognitive prowess. (Abstract excerpt)

Amniota, a group of limbed vertebrates that includes reptiles, birds, mammals and their extinct ancestors. The amniotes are the evolutionary branch (clade) of the tetrapods in which the embryo develops within a set of protective extra-embryonic membranes—the amnion, chorion, and allantois

Liu, Jiazhen, et al. The Emergence of Polarization in Coevolving Networks. arXiv:2205.14480. In their latest paper, the University of Miami and George Washington University (Neil Johnson) systems physicist team (search Chaoming) reach a conclusive point when they are able to provide a theoretical explanation for the constant propensity of social groupings to ever bifurcate into opposite persuasions. For the first time, a deeper, independent motive can be seen as responsible these common divisions. But for our human phase, any sense that such polar modes are actually archetypal complements of a whole viable, family-like unity. Instead of destructive conflict the two halves - again as conserve/create, regress/progress, tradition/innovation – they remained locked in mortal combat.

these effects emerge in coevolving networks due to reinforced mechanisms and network evolution. However, a comprehensive theoretical framework capturing generic drives which lead to polar states remains to be done. In this paper, we describe a universal scaling law for opinion distributions in accord with a set of scaling exponents which sort social systems into polarization and depolarization phases. We then find three phases of polarization, partial polarization, and depolarization, and a corresponding phase diagram. In the polarized phase, our theory predicts that a bi-polarized community structure emerges naturally from the coevolving dynamics. (Abstract excerpt)

In conclusion, we discover a universal scaling law for opinion distributions in real-world networks, characterized by a set of scaling exponents. This allows us to quantify different polarizing phases of the social system. We propose a generic framework for polarization dynamics of coevolving networks where opinion dynamics and network evolution are coupled based on two essential ingredients: 1) opinion homogenization and 2) homophily clustering. The proposed framework predicts three different polarizing phases and the corresponding phase diagram for modeling parameters. Moreover, the exact solution of the theory reveals the observed scaling law for opinion distributions, suggesting the model captures the universal patterns of polarization successfully. (10)

Marshall, Stuart, et al. Formalizing the Pathways to Life using Assembly Spaces. Entropy. 24/7, 2022. As emergent personal and planetary sapience continues apace to retrospectively research, quantify and explain how we peoples came to be, University of Glasgow and Arizona State University biochemical theorists including Leroy Cronin and Sara Walker describe a computational assembly index metric by which to discern an innate orientation toward vital complex dexterity, beyond just happenstance. See also False Positives and the Challenge of Testing the Alien Hypothesis by this extended group at arXiv:2207.00634.

Assembly theory has been developed to explore the extrinsic information required to distinguish a given object from a random ensemble. Our prior work came up with key processes to deconstruct an object into parts so as to evaluate the minimum steps needed to rebuild it. Here we scope out the core mathematical concepts and boundaries on the assembly index. We explore ways to meld mathematical and physical objects to propose that a high assembly index must have been produced using directed biological or technological processes rather than purely random processes, thereby defining a new scale of aliveness. We think this approach can help identify novel physical and chemical laws so to understand what life is by quantifying what life does. (Abstract edited excerpt)

Technological processes are bootstrapped to biological ones, and hence, the production of technosignatures could be traced to a biological origin. Examples of include chemical products produced by molecular systems such as networks of enzymes, complex chemicals made in the laboratory, and the works of Shakespeare. Finding the object in some abundance, or a single object with many repeating features, is required in order to distinguish single random occurrences. For example, a system which produces long random strings will generate some that have a high assembly index. Finding the same long string more than once will tell us that there is a bias in the system towards creating that string; thus, searching for signatures of life should involve looking for an abundant high assembly index. (4, excerpt)

Menichetti, Giulia and Albert-Laszlo Barabasi. Nutrient Concentrations in Food Display Universal Behavior. Nature Food. 3/375, 2022. Northeastern University network theorists focus their studies on the wide-ranging aspects our human sustenance from its production, quality to supplies. Once more, an exemplary presence of nature’s independent, generative complexities becomes well evident even for this global speciesphere instance.

Extensive programmes around the world proceed to measure and catalogue the composition of food. Here we analyse the nutrient content of the full US food supply and show that the concentration of each nutrient follows a universal single-parameter scaling law that accurately captures the eight orders of magnitude in nutrient variability. We show that the universality is rooted in the biochemical constraints obeyed by the metabolic pathways for nutrient modulation. This provides a mathematical rationale for food composition databases and aids a quantitative understanding of food processing on nutrient balance and health effects. (Abstract excerpt)

Milli, Smitha, et al. A Rational Reinterpretation of Dual-Process Theories. Cognition. Vol. 217, October, 2021. This section has sought to gather many findings since the 1970s that human beings, and all creatures, possess a double neural-cognitive faculty whereof each half contributes a vital attribute. Along with bicameral brain studies, a divide into slower, think about it and fast, just do it options has a currency, but with debate. Into 2021, UC Berkeley, MPI Intelligent Systems and Princeton University scholars propose a clarification by way of the same, typical left and right hemisphere modes of separate details and contextual orientation. By so doing, an integral synthesis is achieved as a bigender complementarity. But its presence sets up a deep quandary. While a scientific, psychological, academic literature posts this historic advance, our vital bioplanet remains in a terminal condition because politics, nations, factions, warlords rage with no sense of any greater natural knowledge and guidance.

Highly influential “dual-process” accounts of human cognition postulate the coexistence of a slow accurate system with a fast error-prone system. But why would there be just two systems rather than, say, one or 93? Here, we argue that a two part faculty might reflect a rational tradeoff between the cognitive flexibility afforded by multiple systems and the time and effort required to choose between them. We find that the optimal number of systems depends on the variability of the environment and the difficulty of deciding when which system should be used. We find a plausible range of conditions under which it is better to have a fast approach without any deliberation (“System 1”) and a slower view that is more accurate through considerations (“System 2”). (Abstract)

Our analyses found two minded choice and risky-choice modes as a most suitable way to deal with a range of environments and cognitive costs: a system that performs no deliberation (“System 1”) and another with a fair amount of forethought (“System 2”). This might be why the human mind contains opposite subsystems within itself – one that is fast but fallible and one that is slow but accurate. Our findings thereby suggests that dual-process architectures could be optimal for the human mind. (12)

Ourllette, Nicholas. A Physics Perspective on Collective Animal Behavior. Physical Biology. 19.2, 2022. The Stanford University systems physicist (search) has become a leading authority for the study of dynamic group-wide activities, and the derivation of common features across all manner of species. His subject choice has been midge insects suitable for laboratory tests. (I heard Nicholas speak at UMass Amherst around 2010 when he was at Yale. A view even back then was that it didn’t matter which critter one chose, they all behave the same.) Into 2022, this timely review with 160 references can now cite a robust confirmation of this natural invariance. Premier research has investigated avian flocking, fish pods, wildebeest herds and all the way to invertebrate molds. (That is, except people because individual me yet opposes social We.) Akin to Self-Organization in Stellar Evolution (Georigiev, 2022), our EarthWise endeavors seem to be entering a new convergent stage of universal confirmations. Stars and starlings array and move to the same independent, genotype-like score and script. We may begin to glimpse an actual 2020s discovery that our participatory bioplanet is meant to achieve.

The dynamic patterns and coordinated motion displayed by groups of social animals are a beautiful example of self-organization in natural far-from-equilibrium systems. Recent advances in active-matter physics have enticed physicists to consider how their results can be extended from microscale physical systems to groups of real, macroscopic animals. At the same time, better measurement technologies have achieved high-quality empirical data for animal groups both in the laboratory and the wild. In this review, I describe how physicists have approached synthesizing, modeling, and interpreting this information, both at the level of individual animals and the group scale. I focus on the kinds of analogies that physicists have made between animal groups and more traditional areas of physics. (Abstract)

Sagan, Dorion. From Empedocles to Symbiogenesis: Lynn Margulis’s Revolutionary Influence on Evolutionary Biology. Biosystems. June, 2021. We cite this latest essay as a succinct record of her valiant endeavor to break out of old male fixation into a vital sense of an animate procreation graced by a universal principle of positive, reciprocal conciliations between all phases of organic entities. Yet we have a world tearing itself apart due to violent oppositions, which is in desperate need for such a unifying scientific vision. I have heard and met Lynn in Amherst, in my opinion she could merit being the one woman who could rise to the status of a Newton or Darwin.

As a primary expositor of the work of Lynn Margulis collaborating with her over thirty years on over thirty books and forty articles, scientific and popular, I attempt here to summarize her unique and lasting influence on evolutionary biology. Describing life on Earth as the multi-billion-year evolution of microbial communities, from prokaryotes maintaining Earth's atmosphere away from thermodynamic equilibrium to all eukaryotes as polygenomic beings, Margulis's interdisciplinary work has deeply influenced multiple fields including systematics, theories of the evolution of metabolism, paleobiology, and biogeochemistry. Overturning the neo-Darwinist narrative that speciation almost always occurs by the gradual accumulation of random mutations, Margulis's work revives a discarded philosophical speculation of the pre-Socratic Empedocles, who suggested that Earth's early beings both merged and differentially reproduced. Margulis's curiosity-driven science, collaborative work ethic, status as a woman, embrace of novelty, philosophical stance, current status of her theories, and the proposal for a new science of symbiogenetics are among the topics examined. (Abstract excerpt)

Sarkanych, Petro, et al. Network Analysis of the Kyiv Bylyny Cycle – East Slavic Epic Narratives. arXiv:2203.10399. This March 19 entry could not be more timely to an extent that our review could illume the historic, 20th to 21st century, homo to Earthropo sapience, complex network science ecosmic revolution. The authors are PS, and Yurij Holovatch (search) Doctoral College for the Statistical Physics of Complex Systems, National Scientific Academy of Ukraine; Nazar Fedorak, Ukrainian Catholic University; Padraig Maccarron, University of Limerick, Ireland; Josef Yose and Ralph Kenna (search) Coventry University, UK. With their veteran erudition, they bring a scholarship which can allow, perceive and verify a thousand heroic versions of gore and glory (little love) which yet hold to and manifest a common, fractal-like storyline with an array of iconic characters. But as March madness carnage engulfs Lviv, an ancient treasure, such an Earthuman learning, thinking faculty whom can witness these integral patterning is still unknown. For such reasons, we remain unable to add the evident presence of an independent, universal mathematic source code in genetic effect.

See also Narrative Structure of A Song of Ice and Fire Creates a Fictional World with Realistic Measures of Social Complexity by this open Eurasia group and Robin Dunbar, in PNAS (117/46, 2020), and Analysing International Events through the Lens of Statistical Physics: The Case of Ukraine by Massimiliano Zanin and Johann Martinez at 2203.07403.

A long contrast across still dark ages might become newly apparent. These ethnic, regional mythic tales represent our initial human encounters with and expressions of this dramatic, perilous, veiled existence. Many centuries later, an emergent Earthuman acumen and vista can now achieve a retrospective survey. But a consequent ecosmic revolution to an organic natural genesis has not yet been recognized. In this regard, a common, genetic-like astronomic to geonomic code from which the fractal fictions arise and are structured by can provide their natural authorship.

Apropos, I heard Joseph Campbell speak in 1964 at the Cooper Union forum in downtown NYC. (It was noted on the same floor boards that Abraham Lincoln stood a century earlier.) With his learned flourishes he regaled us with “heroic” sagas which could be seen to have a constant, thematic core. I can recall that he went on to say that a moment has long been ordained when the mysteries are to be opened and made clear to us. Some six decades on, might we late peoples be able to allow, imagine, and fulfill such a promise. Please see human-uniVerse, Family Ecosmos writings in the lead Great Earth 2022 essay.

Since the pioneering work of Joseph Campbell in the 1960's, universality emerged as an important qualitative notion in the field of comparative mythology. In recent times, the advent of network science permitted new quantitative approaches to literary studies. Here we bring the Kyiv bylyny cycle into the field -- East Slavic epic narratives originating in modern-day Ukraine. By comparison to other European epics, we can novel commonalities of social networks in bylyny. We analyse community structures and rank important characters. The method can define the solar position of Prince Volodymyr and show how the Kyiv cycle has affinities wih narrative networks from similar national tales. Besides new narratological insights, we hope this study will aid scholars and peoples to better appreciate Ukraine's heroic history. (Abstract excerpt) (We ought to notice that Putin’s brave adversary, the Ukrainian president is named Volodymyr.)

Many countries refer to iconic characters from the mythological or historical past. In his recent essay, “On the Historical Unity of Russians and Ukrainians”, V. Putin invoked the distant past when he said ”The spiritual choice made by St. Vladimir, the Grand Prince of Kiev, still stands today” such that “the idea of Ukrainian people as a nation separate from the Russians [has] no historical basis.” Putin’s erroneous view has been refuted in multiple quarters. The historian Timothy Snyder says of Putin: “He considers himself the second Volodymyr, and sees his task as completing his work.” However, as we note here, Prince Volodymyr is a solar character connected with people of different opinions. As for the heroic Ukarian bylyny cycle, we hope that a new narrative will become centered on a free and peaceful Kyiv. (17, 18)

Shettigar, Nandan, et al. On the Biophysicsl Complexity of Brain Dynamics. Dynamics. 2/2, 2022. Texas A & M University bioengineers led by Steve Suh (see website) post a 35 page, 245 reference latest review of our human cerebral faculty as it has now become quantified and understood by way of network multiplex topologies, information process capacities and a preferred self-organized criticality. A typical topic is Complex Global Multimodal Synchronization from Local Nonlinear Interactions. As the quotes allude, two decades into the 21st century, our personal cognitive endowment is found to organize itself so as to think and learn in a wild world. In regard, our emergent acumen (as well as our own selves) can be appreciated as an iconic exemplar of the whole genesis ecosmos from which it arose from.

By this stratified witness the same neural cognizance could be seen in effect as a global sapiensphere may just come to her/his own knowledge. For a current 2022 discovery event section, we pair this entry with Self-Organized Critical Dynamics as a Key to Fundamental Features of Complexity in Physical, Biological and Social Networks by B. Tadic and R. Melnik (herein) as prime, quantitative examples in our urgent midst.


The human brain is a complex network ensemble of the cumulative interactions of its cellular components by way of nonlinear multicellular higher-order collaborations. Thus, as a statistical physical system, complex global emergent network behaviors are produced which enable the highly dynamical, adaptive, and efficient response of a macroscopic brain network. These effects emerge in local synchronized clusters which altogether form a collective organization with hierarchical and self-similar structures. Here, we will provide an overview perspective from a biological and physical complex network basis along with their exemplary presence in all manner of cerebral forms and functions. and how these operate within the physical constraints of nature. (Abstract excerpt)

Thus, the brain can be conceptualized as a complex information processing unit, molding its neural physiology as an analog neural network. Processing information through a medium of intricately coupled local action potential interactions, neural circuitry orchestrates interactions across the hierarchical scales of the brain, which combine individual action into collective group order. The latter is typically seen in overall brain activities and behaviors and can be quantified by multiphase, multiscale structures. (19)

The brain refines a finite number of network configurations using a canonical, self-similar pattern and structure across its temporal and spatial scales. This directly corresponds to the statistically self-similar fractal nature of the brain. Self-similarity across the multivariate scales of the brain is therefore essential in supporting efficient dynamical transitions by directing chaotic bifurcations in its own hierarchical structure to effectively filter information throughout the scales of the brain while conserving resources through a self-similar organization. (26)

Global neural activity is not random but highly ordered due to hierarchical structures. Their recursive implementation from the micro to macro scales allows the brain to produce complex information representations via neural dynamics so to enable performan a wide range of activities. These forms entail self-similarity so to optimize energy consumption and maintain a balance between stable and flexible states. Moving towards a more general step, effectively administering control of the complexity present in the brain can also provide insights towards the nature of complexity in our universe. (27)

Sormunen, Silja, et al. Critical Drift in a Neuro-Inspired Adaptive Network. arXiv:2206.10315. After some years of worldwide study, SS and Jari Saramaki, Aalto University, Finland, along with Thilo Gross, University of Oldenburg, Germany agree, that cerebral activities do in fact seek and reside at a preferred self-organized poise. As the Abstract notes, it is now time to consider and explore the full operational, cognitive presence of this optimum feature. Our Universal Genesis view in mid 2022 might then report similar realizations from astrophysical realms to bicameral societies. A glimpse of an intrinsic self-organized criticality, aka nature’s complementary sweet spot, could begin to grace and advise these traumatic times.

It has been postulated that the brain operates in a self-organized critical state that brings multiple benefits, such as optimal sensitivity to input. Thus far, self-organized criticality has been depicted as a one-dimensional process, mainly with a single parameter tuned to a critical value. However, the number of adjustable facets in the brain is vast, and hence critical states can occupy a high-dimensional manifold inside a high-dimensional parameter space. Here, we show that adaptation rules inspired by homeostatic plasticity drive a neuro-inspired network to drift on a critical manifold, poised between inactivity and persistent activity. During the occasion, global network parameters continue to change while the system remains at criticality. (Abstract)

Tadic, Bosiljka and Roderick Melnik. Self-Organized Critical Dynamics as a Key to Fundamental Features of Complexity in Physical, Biological and Social Networks. Dynamics. 2/2, 2022. Senior theorists in Solvenia and Canada (see bio’s below and home websites) provide a select, consummate survey of 21st century worldwise multiplex non-equilibrium system studies as they may reach their current convergent, integrative syntheses across every spatial and temporal, uniVerse to humanVerse, domain. We pair the entry with On the Biological Complexity of Brain Dynamics by N. Shettigar, et al in this issue so as prime instances of a epochal discovery event in our midst. Herein the emphasis is on novel findings about nature’s consistent propensity to seek and reside at an optimum mid-point balance between more or less relative coherence. The paper reviews technical attributes such as self-similarity, power laws, multifractal landscapes, simplicial networks, collective behaviors and all else. As one reads along, the text reiterates the cerebral descriptions in the other paper. That is to say, our Earthropocene sapience, as it learns and thinks on its own, can has well found and defined the presence of a familial genetic-like code which universally recurs in kind everywhere.

Studies of many complex systems have revealed new collective behaviours that emerge through the mechanisms of self-organised critical fluctuations. These collective states with long-range spatial and temporal correlations often arise from an external dynamic drive with an intrinsic nonlinearity and geometric interactions. The self-similarity of critical fluctuations enables us to describe natural systems using fewer parameters and universal functions that can then simplify the computational and information complexity. Current research on self-organised critical systems across many scales strives to formulate a unifying mathematical framework by way of critical universal properties in information theory. Through physical, biological, and social network exemplars, we show how a constant self-organised criticality occurs at the interplay of the complex topology and driving mode. (Abstract excerpt)

This feature article has two goals. Firstly, we give a brief survey of a diversity of current research trends of SOC systems across different scales and types of interactions. Secondly, we present new results on the field-driven spin dynamics in complex nano-networks, an appearing prominent example of SOC behaviour induced by the substrate’s geometry. Using several representative examples of SOC systems of different nature and interaction patterns, we highlight some fundamental aspects of the dynamic complexity. (3)

The SOC occurs in many complex systems and networks at various scales, types of interactions, and intrinsic dynamics. They all obey some universal behaviours that can be captured by the properties of the emergent critical states. These are the long-range correlations, fractality, avalanching dynamics and scale invariance. It has been understood that these properties of the critical states can provide a deeper understanding of different aspects of complexity. In particular, recent research on various SPA models and real-world systems strives to underpin self-organised critical behaviour in the mechanisms underlying the emergence of new collective features, essential for the physical and biological complexity. They also provide a more transparent structure of information stored in the critical state and reduced computational complexity. In the context of complexity, understanding the role of various geometrical constraints in the critical dynamics and hidden geometry features that enable competing interactions at different scales are of paramount importance. (13-14)

Bosiljka Tadic is a theoretical physicist at the Jozef Stefan Institute, Ljubljana who researches the intrinsic nature of complex systems and networks. Her studies involve the statistical physics of cooperative phenomena from functional brain networks to emotional behaviors in Internet societies. In regard, she has published over 120 technical papers.

Roderick Melnik is internationally regarded for his work in applied mathematics, and numerical analysis and a Canada Research Chair in Mathematical Modeling and Professor at Wilfrid Laurier University. He was born in the Ukraine and earned his doctorate at the National University of Kyiv. (I was unaware of his bio as I chose to highlight the paper, which is so appropriate for this knowledge vs. madness moment.)

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