II. Pedia Sapiens: A Planetary Progeny Comes to Her/His Own Twintelligent Gaiable Knowledge

B. The Spiral of Science: Manican to American to Earthicana Phases

Pugliese, Emanuele, et al. Unfolding the Innovation System for the Development of Countries: Co-Evolution of Science, Technology and Production. arXiv:1707.05146. A team of senior Italian physicists including Andrea Gabrielli and Luciano Pietronero achieve a novel analysis via multiplex, interactive networks of this active tripartite learning, knowledge, and creativity economy.

We show that the space in which scientific, technological and economic developments interplay with each other can be mathematically shaped using pioneering multilayer network and complexity techniques. We build the tri-layered network of human activities (scientific production, patenting, and industrial production) and study the interactions among them, also taking into account the possible time delays. Within this construction we can identify which capabilities and prerequisites are needed to be competitive in a given activity, and even measure how much time is needed to transform, for instance, the technological know-how into economic wealth and scientific innovation, being able to make predictions with a very long time horizon. Quite unexpectedly, we find empirical evidence that the naive knowledge flow from science, to patents, to products is not supported by data, being instead technology the best predictor for industrial and scientific production for the next decades. (Abstract)

Pyenson, Lewis and Susan Sheets-Pyenson. Servants of Nature. New York: Norton, 1999. A chronicle of the early scientific activities of exploration, precision, journals, museums, zoos, statistics, instruments and learned societies.

Ranaivoson, Ravo Tokiniaina, et al. Highlighting Relations between Wave-particle Duality, Uncertainity Principle, Phase Space and Microstates. arXiv:2205.08538. We cite this entry by eight natural philosophers at the University of Antananarivo, Madagascar as an instance, so it seems, that wherever they are, human beings will be innately moved to such scientific inquiries, which now proceed on this open global, eprint site. Once again our homo to Earthropo sapience appears distinguished by this participant contribution. We also note that their island is beset by climate extremes and social violence, which could be attended to if wealthy nations could stop fighting and altogether begin a GaiaWise remediation.

The wave-particle duality is often considered as the modern answer that man found by which to know the nature of light. The aim of this work is to perform an analysis of this wave-particle duality concept and to review the relations which exist between it, along with the uncertainty principle, phase space and microstates from statistical mechanics. Our work argues that a correct understanding cannot be achieved without quantum physics. (Excerpt)

Reill, Peter Hanns. Vitalizing Nature in the Enlightenment. Berkeley: University of California Press, 2005. An erudite historical study of currents and conflicts in the 18th century encounter with a newly intelligible world. This endeavor took place in a time of “Learning to Read the Book of Nature” (Chapter 2) whose alphabetic, discernible creation is forgotten and denied today. Dichotomies involved static or dynamic versions, mechanical or organic models, the play of gender complements, and so on. The main theme of the book is that the counterpoint at that time of a minority Romantic naturphilosophie to a mechanical bent for linear absolutes is somewhat recovered in postmodernist views of a fluid, spontaneous reality.

Renn, Jurgen. The Evolution of Knowledge: Rethinking Science for the Anthropocene. Princeton: Princeton University Press, 2020. The MPI for the History of Science director publishes a collegial volume some 25 years in the making that from our late vantage achieves a fresh, integral surmise. Human history can now appear as a grand knowledge gaining project from Greece, China, and Europe to its present Anthropic worldwide transition. By such a vista, and in accord with this website, into the 21st century an epochal shift is much underway from individuals (men) and local groups to a “global learning process” (21) in the form of a collective, cumulative repository in its online noosphere (re V. Vernadsky and P. Teilhard). As we try to broach here, a new phase of guided facilitation so as to seek ways to better organize, translate and foster accessible usage. A detailed glossary with sections such as Cognitive Psychology and Science, Complex Systems Theory, Earth Systems, Epistemic Networks, and Knowledge Development then provides an expansive guide.

This book presents a new perspective about the history of science and technology, one that offers a grand narrative in which knowledge serves as a critical factor of cultural evolution. It examines the role of knowledge in global transformations going back to the dawn of civilization all the way to complex challenges confronting us today in the Anthropocene epoch shaped by humankind. Renn reframes the history of science and technology, analyzing key episodes such as the evolution of writing, the Scientific Revolution of early modernity, and the current digital globalization of scientific findings. (Publisher)

In chapter 13, we saw how epistemic communities may come into being by processes of self-organization involving cognitive networks. Clearly, even in its current form, the Web has immensely improved the conditions for such self-organizing networks. The challenges of the Anthropocene might act as a catalyst for the emergence of a global epistemic community beyond disciplinary trenches, for refocusing the Web on problems of knowledge, and for creating new bridges between the academic world and civil society. (408)

Epistemic Evolution: A process emerging from cultural evolution in which the knowledge economy of science has transformed from an accidental into a necessary condition for preserving, sharing, and developing the achievements of cultural evolution, and possibly even the survival of the human species on a global scale. (Glossary)

Ronan, Colin. Science: Its History and Development Among the World’s Cultures. New York: Facts on File, 1982. For the record, a reliable exposition from Greece and China to modern times.

Rong, Guoyang, et al.. 40 Years of Interdisciplinary Research: Phases, Origins, and Key Turning Points.. arXiv:2501.05001. Wuhan University, National University of Singapore and Technische University of Berlin scholars including Thorsten Koch conduct a review of the past four decades of scientific studies by which to perceive discernable advances with stages and trends. In regard, this retrospective can illuminate how our composite Earthumanity is actually proceeding to explore, test and learn by her/his sapiensphere own.
.

This study examines the historical evolution of interdisciplinary research (IDR) over a 40 year span. We review three distinct phases based on these trends: Period I (1981-2002), marked by sporadic and limited interdisciplinary activity; Period II (2003-2016), an emergence of large-scale IDR with with breakthroughs in and medical technology; and Period III (2017-present), where IDR became a widely adopted research paradigm. (Excerpt)

Roszak, Theodore. The Gendered Atom. Berkeley, CA: Conari Press, 1999. A cultural historian decries the invasive, mechanistic cast of masculine dominance in science. The prescription is an end to gender bias in a science that can equally admit women and feminine sensibilities toward sympathetic relationships, which is good for the planet.

Rzepa, Henry. The Past, Present and Future of Scientific Discourse. Journal of Cheminformatics.. 3/46, 2011. An Imperial College London systems chemist provides a cogent synopsis of our whelming shift from centuries of people and paper to every worldwide collaboration instantly online. This is neatly done by contrasting two articles – from 1953 the Watson and Crick double helix letter in Nature with a 2010 online Science paper “Single-Crystal X-ray Structure of 1,3-Dimethylcyclobutadiene by Confinement in a Crystalline Matrix” by Y. M. Legrand, et al. In between Rzepa shows how the brief DNA note could now appear with 3D visualizations, as the case with the 2010 contribution. For more on this global brain at work, in the same journal (3/44, 2011) see “CML (Chemical Markup Language): Evolution and Design” by Rzepa and Peter Murray-Rust.

The science journal is 346 years old in 2011, having evolved continuously but largely incrementally over that period. Its reinvention for an online presence has largely preserved its previously printed nature, in the sense that much of the increased functionality which is potentially offered by this new medium has yet to be exploited. In the present article an attempt is made to discuss two previously published papers, one in 1953 and the other in 2010, and to illustrate how additional functionality can be implemented in the form of accessible data sourced from quantum mechanical calculation and how subsequent discourse in the form of blogs may add to the process. In this sense, the reader of this article is invited to try for themselves whether these enhancements improve their scientific understanding, and whether such enhanced journals are good models for the future evolution of the genre. (Abstract, 1)

Rzhetshy, Andrey, et al. Choosing Experiments to Accelerate Collective Discovery. Proceedings of the National Academy of Sciences. 112/14569, 2016. University of Chicago and UCLA systems theorists from biological to social fields offer another instance of how popular multiplex network phenomena can be applied to model its own scientific formation and progress. And we note, as one reads the next quote, it could similarly be describing a worldwide cerebral activity.

University of Chicago and UCLA systems theorists from biological to social fields offer another instance of how popular multiplex network phenomena can be applied to model its own scientific formation and progress. And we note, as one reads the next quote, it could similarly be describing a worldwide cerebral activity.

Sabella, Mel and Mathew Lang. Research and Education at the Crossroads of Biology and Physics. American Journal of Physics. 82/5, 2014. An Introduction in this periodical for science teachers to a special issue upon the need for these disparate fields, as they reunite and merge into one, to gain a common venue for accessible, engaging instruction. A typical paper is Entropy and Spontaneity in an Introductory Physics Course for Life Science Students.

Sante, Andrea, et al. Applying machine learning to Galactic Archaeology. arXiv:2405.00102. Five Liverpool John Moores University astroscientists consider whether the ancient timeline origin of stars in the Milky Way can be presently quantified by virtue of these novel AI data dense facilities. And once again, one might reflect on the whole scenario of a creative ecosmos whose regnant life evolves to a collaborative sapience on an infinitesimal bioplanet that is able to achieve such nascent self-representations. We wonder what kind of universe reality seems to require its own observance, recognition and aware admission to bring itself into full existence. See also A Census of Sun's Ancestors and their Contributions to the Solar System Chemical Composition by F. Fiore, et al at 2406.08036 and Presolar Grains by Nan Liu at 2406.14694.

We survey machine learning (ML) models developed to separate stars formed in-situ in Milky Way-type galaxies from those that were formed externally and later accreted. These methods, which include examples from artificial neural networks, decision trees and dimensionality reduction techniques, are trained on a sample of disc-like, Milky Way-mass galaxies. We find that the input parameters consist of stellar positions, kinematics, chemical abundances and photometric properties. The general applicability bodes well for application to identify accreted substructures in the Milky Way. (Excerpt)

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