Version 1
: Received: 14 December 2022 / Approved: 20 December 2022 / Online: 20 December 2022 (03:33:52 CET)
How to cite:
Pathak, A. “Shackles of Science”: A Reappraisal of Scientific Innovations, Academic Advances, and Their Appreciation. Preprints2022, 2022120351. https://doi.org/10.20944/preprints202212.0351.v1
Pathak, A. “Shackles of Science”: A Reappraisal of Scientific Innovations, Academic Advances, and Their Appreciation. Preprints 2022, 2022120351. https://doi.org/10.20944/preprints202212.0351.v1
Pathak, A. “Shackles of Science”: A Reappraisal of Scientific Innovations, Academic Advances, and Their Appreciation. Preprints2022, 2022120351. https://doi.org/10.20944/preprints202212.0351.v1
APA Style
Pathak, A. (2022). <strong></strong>“Shackles of Science”: A Reappraisal of Scientific Innovations, Academic Advances, and Their Appreciation. Preprints. https://doi.org/10.20944/preprints202212.0351.v1
Chicago/Turabian Style
Pathak, A. 2022 "<strong></strong>“Shackles of Science”: A Reappraisal of Scientific Innovations, Academic Advances, and Their Appreciation" Preprints. https://doi.org/10.20944/preprints202212.0351.v1
Abstract
Science evolves over a gentle arc spanning centuries, with scientists building upon and extending the hypotheses and discoveries of their forebears when nurturing their own work from ideation to crystallization and finally implementation. However, evidence suggests several limitations of our modern academic pursuits including major inertia and epistemological biases to implement even major advancements. For instance, the transformative uncertainty principles of quantum mechanics are yet to be satisfactorily integrated in modern analyses and publications, even almost a century after Heisenberg received the Nobel prize for these. Another example is ever expanding reliance on mathematics to validate the hypotheses of Physics, and undermine the opinions to the contrary. In addition, modern science limits itself to the era post fifteenth century and hastily rejects premodern achievements despite glaring examples. This reluctance and inertia to capitalize on existing knowledge is a challenge that imperils our intellectual pursuits. A salient facet of science is "the willingness to admit ignorance". Only on this foundational principle can science meaningfully evolve. It is time we take a step back to evaluate widely accepted and foundational premises of modern science and institute structured processes to implement the treasure trove of knowledge amassed by our predecessors. This essay highlights some of the opportunities that can and should be availed capitalizing upon the recent developments of computational and analytical capabilities along with artificial intelligence.
Keywords
uncertainty principle; limits of mathematics; validation models; holistic approach
Subject
Social Sciences, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
