Skip to content
Surf Wiki
Save to docs
general/international-non-profit-organizations

From Surf Wiki (app.surf) — the open knowledge base

Foundation for the Study of Cycles

International nonprofit research organization


International nonprofit research organization

The Foundation for the Study of Cycles (FSC) is an international nonprofit organization that fosters, promotes, and conducts scientific research in respect to rhythmic and periodic fluctuations in any branch of science. It was incorporated on January 10, 1941 by Edward R. Dewey. It is currently under the directorship of Dr. Richard Smith. FSC published the Cycles Magazine from 1950 until 1997. In 2020, FSC relaunched the magazine as a quarterly publication. All FSC members are provided access to Cycles App, which according to the foundation, is "a tool that can decode cycles and apply cyclic analysis to detect dominant cycles in any dataset."

The FSC has been backed over the years by notable investors, like W. Clement Stone, Fidelity Investments, Coleman Co., and Paul Tudor Jones.

Footnotes

References

References

  1. {{harvnb. Huntington. 1943
  2. "Our History".
  3. {{harvnb. Bouma. 1983
  4. "Current Board and Staff for the Foundation for the Study of Cycles".
  5. {{harvnb. Tromp. 1978
  6. {{harvnb. Sollberger. 1978
  7. (November 5, 2020). "Cycles Magazine Returns After 25 Years".
  8. "Membership".
Info: Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

Want to explore this topic further?

Ask Mako anything about Foundation for the Study of Cycles — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report