Dante Chialvo

Complex Systems Scientist. Full Professor and head of the Center for Complex Systems and Brain Sciences at the Universidad Nacional de San Martín.
Buenos Aires
. Argentina
Contributor Since July 2024

I am a biologist by training and have been a complex systems researcher since the early 1990’s, with more than 150 scientific papers published on a wide range of topics, all dedicated to understanding natural phenomena from the point of view of Nonlinear Dynamics of Complex Systems. I have researched the mathematical modeling of cardiac arrhythmias, the study of molecular motors as stochastic ratchets, neural coding, and self-organization and collective phenomena in ants swarms, brain and communities, among others. My work on self-organized criticality in the brain with the late Danish physicist Per Bak helped to lay the foundations for several budding fields of research. I am also a believer in universality as a guiding framework for scientific research, and have published on the subject.

I have been a research professor at the University of Rosario, the State University of New York (Syracuse), Northwestern University and UCLA, and was associated with the Santa Fe Institute for the Sciences of Complexity between 1992 and 1995. I am currently a Full Professor and head of the Center for Complex Systems and Brain Sciences (Cemsc3) at the UNSAM (Universidad Nacional de San Martin) in Buenos Aires, Argentina, and a Principal Investigator of Conicet (Argentina).

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June 29, 2025
Why life is complex and — most importantly — what is the origin of the over abundance of complexity in nature? This is a fundamental scientific question which, paraphrasing the late Per Bak, “is screaming to be answered but seldom is even being asked.” In this three-article series, we review recent attempts across several scales to understand the origins of complex biological problems from the perspective of critical phenomena. Following a broad introduction to complexity, criticality and universality in Part 1, to illustrate the approach, three cases will be discussed in Parts 2 and 3; large scale brain dynamics, the characterization of spontaneous fluctuations of proteins, and the physiological complexity of the cell mitochondria network. Introduction In the last decade, we have witnessed an escalating interest in complex biological phenomena at all levels including macroevolution, neuroscience at different scales, and molecular biology. Potential progress is of paramount importance, thus we shall examine a bit how we are currently proceeding to carve out these new areas, starting with asking whether biological phenomena are more or less complex than other fundamental problems in physics. The answer is not clear at first, however striking differences exist in the approaches as well as in the sociology of both fields.  The history of physics records many important efforts in search for universality; large classes of phenomena must be explained in terms of a few fundamental laws. In contrast, biology more often seems to emphasize unique and singular aspects; because not all organisms are alike, there is a large diversity of species, families, etc… such that taxonomy ends up prevailing over integration of knowledge. This apparent uniqueness of each biological phenomena in some cases leads to overspecialization, which may, from time to time, encourage the creation of a sub-discipline for each new group of complex biological...
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Dante Chialvo
Contributors
January 29, 2026
Is self-organization the answer to the foundational question of why life exhibits such complexity? And can it also serve as a guiding framework for how best to save complex webs of biodiversity amid the onslaughts of the modern world? Self-organization exists throughout nature and socioeconomic structures. It refers to the spontaneous emergence of collective, complex order within a disordered system, due to localized interactions that follow simple rules, and occurring without external controls. While conceptually abstract, given that uncertainty lies at its core, the applications of self-organization are everywhere. Advancing our understanding of the non-linear processes within complex systems that drive self-organization is also becoming increasingly important for developing evidence-based policies in a world defined by interdependence and escalating stressors. Indigenous cultures, such as those that live within complex socio-ecological systems in the Amazon ecoregion, have long embraced these principles of uncertainty, interconnectedness, and non-linear dynamics. How will their wisdom, experience, and models of socio-ecological systems integrate with evidence-based policies for protecting the Amazon ecoregion? Safeguarding the Amazon is one of our world’s most pressing, complex, and vital global challenges. Among the strategies gaining traction, supported by increasing financial investment, is the intriguing proposition to transform a portion of the region’s immense biodiversity into a sustainable “bioeconomy.” However, these proposals, and the policy makers responsible for negotiating their implementation across boundaries and cultures, often lack an understanding of how both economies and ecologies self-organize and scale. Data-driven models of self-organization and critical collective phenomena in the natural world and within traditional Indigenous sociocultural structures, along with adaptive context-based frameworks, can help guide the transboundary development of a decentralized and circular socio-bioeconomy for the Amazon. Self-Organized Criticality and the Edge of Chaos Pioneering research on self-organized criticality (SOC) began in the 1980s and was made accessible to a wider audience by...
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Daniel Henryk Rasolt
November 24, 2025
Investment in science is a pillar for any dynamic, equitable modern society, and promoting scientific literacy across all levels of society can help foster innovation, dialogue, and consensus that crosses disciplinary and cultural boundaries. Science also helps to uncover answers to foundational questions that have captivated, confounded, and divided our species for millennia. But what is “science,” and what kind of “evidence” ensures that an approach is scientific? If we take “science” to broadly mean, in its purest sense, a “dynamic search for the truth,” or more explicitly, “the pursuit and application of knowledge and understanding of the natural and social world following a systematic methodology based on evidence,” as the Science Council aptly defines it, then science extends beyond the established, highly specialized disciplines of reductionist natural sciences (physics, chemistry, biology, geoscience, and space science) that have been so successful in fostering our understanding of our planet and the cosmos. Under this definition, science also includes the rigorous data-driven (qualitative and quantitative) social sciences, the inherently non-reductionist “holistic” sciences such as ecological and Earth system sciences, and the budding interdisciplinary field of complex systems science, as well as robust traditional knowledge systems based on multi-generational experiences, observations, and reasoning. As with science, “evidence” can mean a lot of things as well, including primary research, pre-existing data, past and planned experiments, and the referencing of peer-reviewed publications and primary sources. It can also include local and traditional knowledge, thought experiments, theoretical proofs, contemplation, verifiable personal experience, and empirical observation. Broadening and weaving together these forms of scientific evidence holds the potential to address complex, interconnected global challenges and explain deep mysteries that could help unify our polarized societies around foundational understandings. Foundational Questions Foundational questions can transcend the divides of generations and cultures: Cosmology, physics, and evolutionary biology have shed...
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Daniel Henryk Rasolt

Dante Chialvo: “Life at the Edge” – Complex Systems, Neuroscience and Universality

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