Quotes About Cross-disciplinary
The future consists of cross specialisation; that is how university systems abroad have evolved.
~ Shiv Nadar
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Expertise in one field does not carry over into other fields. But experts often think so. The narrower their field of knowledge the more likely they are to think so.
~ Robert A. Heinlein
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I was once present at a lecture that Eugene Smith gave to some students at a school of photography. At the end, they protested because he had made no mention of photography, but had spoken the whole time about music. He calmed them by saying that what was valid for one was valid for another. —Henri Cartier-Bresson
~ Sam Stephenson
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Intellectual fascination crosses many boundaries.
~ Sean Carroll
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If we think that innovation comes from a lone genius inventing a new technology from scratch, that model naturally steers us toward certain policy decisions, like stronger patent protection. But if we think that innovation comes out of collaborative networks, then we want to support different policies and organizational forms: less rigid patent laws, open standards, employee participation in stock plans, cross-disciplinary connections.
~ Steven Johnson
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Experts can go wrong, for example, when they try to stretch their expertise from one area to another. This is not only a recipe for error, but is maddening to other experts as well.
~ Thomas M. Nichols
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Design must be an innovative, highly creative, cross-disciplinary tool responsive to the needs of men. It must be more research-oriented, and we must stop defiling the earth itself with poorly-designed objects and structures.
~ Victor Papanek
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There's something really natural to me about being what they call in the business a "hyphenate." Being a musician-actor or writer-musician-actor.
~ Lola Kirke
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In the history of ideas, it's repeatedly happened that an idea, developed in one area for one purpose, finds an unexpected application elsewhere. Concepts developed purely for philosophy of mathematics turned out to be just what you needed to build a computer. Statistical formulae for understanding genetic change in biology are now applied in both economics and in programming.
~ Unknown
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