“Origami helps in the study of mathematics and science in many ways. … Using origami anyone can become a scientific experimenter with no fuss.”

—  Martin David Kruskal

at the AAAS meeting: Mathematics and Science of Origami: Visualize the Possibilities, February 15, 2002, as quoted by Science Daily Origami Helps Scientists Solve Problems http://www.sciencedaily.com/releases/2002/02/020219080203.htm, February 21, 2002.

Adopted from Wikiquote. Last update June 3, 2021. History

Help us to complete the source, original and additional information

Do you have more details about the quote "Origami helps in the study of mathematics and science in many ways. … Using origami anyone can become a scientific expe…" by Martin David Kruskal?
Martin David Kruskal photo
Martin David Kruskal1
American mathematician 1925–2006

Related quotes

Cassandra Clare photo

“Don't bother her, don't try to talk to her, don't even look at her, or I'll fold you in half so many times you'll look like a tiny little origami werewolf.”

Cassandra Clare book City of Fallen Angels

Source: City of Fallen Angels

William John Macquorn Rankine photo

“In the original discovery of a proposition of practical utility, by deduction from general principles and from experimental data, a complex algebraical investigation is often not merely useful, but indispensable; but in expounding such a proposition as a part of practical science, and applying it to practical purposes, simplicity is of the importance:—and… the more thoroughly a scientific man has studied higher mathematics, the more fully does he become aware of this truth—and… the better qualified does he become to free the exposition and application of principles from mathematical intricacy.”

William John Macquorn Rankine (1820–1872) civil engineer

p, 125
"On the Harmony of Theory and Practice in Mechanics" (Jan. 3, 1856)

“After years of work in both areas of study, I concluded that the social sciences were different, in many important ways, from the natural sciences, but that the same scientific methods were applicable in both areas, and, indeed, that no very useful work could be done in either area except by scientific methods.”

Carroll Quigley (1910–1977) American historian

Source: The Evolution of Civilizations (1961) (Second Edition 1979), Chapter 1, Scientific Method and the Social Sciences, p. 33

Akshay Agrawal photo

“I was a borderline computer science major before I came into interaction design; I’m really interested in physics and chemistry. This class was a way to throw design back into science and mathematics and help a community that is helping to give back to us.”

Akshay Agrawal (1998) Serial Social Entrepreneur

About working with MIT and JPL on an Ocean Eddy Simulation Visualization tool https://web.archive.org/web/20180518011711/https://designmattersatartcenter.org/proj/seeing-the-unseen/

“Today we preach that science is not science unless it is quantitative. We substitute correlations for causal studies, and physical equations for organic reasoning. Measurements and equations are supposed to sharpen thinking, but, in my observation, they more often tend to make the thinking noncausal and fuzzy. They tend to become the object of scientific manipulation instead of auxiliary tests of crucial inferences.
Many - perhaps most - of the great issues of science are qualitative, not quantitative, even in physics and chemistry. Equations and measurements are useful when and only when they are related to proof; but proof or disproof comes first and is in fact strongest when it is absolutely convincing without any quantitative measurement.
Or to say it another way, you can catch phenomena in a logical box or in a mathematical box. The logical box is coarse but strong. The mathematical box is fine-grained but flimsy. The mathematical box is a beautiful way of wrapping up a problem, but it will not hold the phenomena unless they have been caught in a logical box to begin with.”

John R. Platt (1918–1992) American physicist

John R. Platt (1964) " Science, Strong Inference -- Proper Scientific Method (The New Baconians) http://256.com/gray/docs/strong_inference.html. In: Science Magazine 16 October 1964, Volume 146, Number 3642. Cited in: Gerald Weinberg (1975) Introduction to General Systems Thinking. p. 1, and in multiple other sources.

Edwin Boring photo

“The historical approach to understanding of scientific fact is what differentiates the scholar in science from the mere experimenter.”

Edwin Boring (1886–1968) American psychologist

Source: Psychologist at large, 1961, p. 3

“Science does not speak of the world in the language of words alone, and in many cases it simply cannot do so. The natural language of science is a synergistic integration of words, diagrams, pictures, graphs, maps, equations, tables, charts, and other forms of visual and mathematical expression… [Science thus consists of] the languages of visual representation, the languages of mathematical symbolism, and the languages of experimental operations.”

Jay Lemke (1946) American academic

Jay Lemke (2003), "Teaching all the languages of science: Words , symbols, images and actions," p. 3; as cited in: Scott, Phil, Hilary Asoko, and John Leach. "Student conceptions and conceptual learning in science." Handbook of research on science education (2007): 31-56.

George Klir photo

“Systems science is that field of scientific inquiry whose objects of study are systems.
Without further explanation, these definitions are clearly of little use.”

George Klir (1932–2016) American computer scientist

Source: Facets of Systems Science, (2001), p. 3.

Richard Dawkins photo

“But perhaps the rest of us could have separate classes in science appreciation, the wonder of science, scientific ways of thinking, and the history of scientific ideas, rather than laboratory experience.”

Richard Dawkins (1941) English ethologist, evolutionary biologist and author

The Richard Dimbleby Lecture: Science, Delusion and the Appetite for Wonder (1996)

“Without continuous mathematics, the study of discrete mathematics soon becomes trivial and very limited. …The two topics”

Richard Hamming (1915–1998) American mathematician and information theorist

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Context: Increasingly... the application of mathematics to the real world involves discrete mathematics... the nature of the discrete is often most clearly revealed through the continuous models of both calculus and probability. Without continuous mathematics, the study of discrete mathematics soon becomes trivial and very limited.... The two topics, discrete and continuous mathematics, are both ill served by being rigidly separated.

Related topics