The day science begins to study non-physical phenomena, it will make more progress in one decade than in all the previous centuries of its existence.Nikola Tesla, Inventor and Futurist
6 Matching Annotations
- Jul 2025
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noetic.org noetic.org
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no•et•ic: From the Greek noēsis/ noētikos, meaning inner wisdom, direct knowing, intuition, or implicit understanding. The way we understand ourselves and our world is always evolving. From instinct to intuition to intellect, part of being human is using multiple ways to gather and utilize information. Noetic sciences are one of many frameworks we can use to engage with our daily reality. On his way back to Earth after his pioneering moonwalk, Apollo 14 astronaut and IONS founder Dr. Edgar Mitchell had the profound experience of feeling interconnected to everything he was observing from the window of his space capsule: the stars, the moon, our blue planet, and the vastness of the cosmos. He realized quickly that in order to explain such an extraordinary experience (and others like it), there would need to be a rapprochement between the scientific and spiritual interpretations of reality. As a scientist and visionary, Dr. Mitchell saw a need to reconcile his training as an engineer and astrophysicist with the wisdom of the ages to transcend the limitations of what he saw as an outdated materialist worldview. A new framework would be needed: one that could help explain the unexplainable—and spark transformation. He called this framework noetic sciences.
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- Mar 2025
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writingslowly.com writingslowly.com
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In his novel The White Castle (1998), Orhan Pamuk’s narrator says: “I suppose that to see everything as connected with everything else is the addiction of our time.”
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- Jul 2020
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link.aps.org link.aps.org
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Sayama, H. (2020). Enhanced ability of information gathering may intensify disagreement among groups. Physical Review E, 102(1), 012303. https://doi.org/10.1103/PhysRevE.102.012303
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- Jun 2020
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academic.oup.com academic.oup.com
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Marshall, B. D. L., & Galea, S. (2015). Formalizing the Role of Agent-Based Modeling in Causal Inference and Epidemiology. American Journal of Epidemiology, 181(2), 92–99. https://doi.org/10.1093/aje/kwu274
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iopscience.iop.org iopscience.iop.org
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Parisi, F., Squartini, T., & Garlaschelli, D. (2020). A faster horse on a safer trail: Generalized inference for the efficient reconstruction of weighted networks. New Journal of Physics, 22(5), 053053. https://doi.org/10.1088/1367-2630/ab74a7
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