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15 - Language and astrophysical Stability

Published online by Cambridge University Press:  05 December 2013

Martin Harwit
Affiliation:
Cornell University, New York
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Summary

Although most astronomers assign particular importance to the problems on which they are currently working, our understanding of the Universe will not advance satisfactorily unless the community can agree on a coherent research plan with a well-defined thrust. The plan cannot be too rigid; otherwise unanticipated initiatives leading to novel insight will be thwarted. Nor should changes in direction be opposed as we learn more and realize a deliberate course correction is needed.

These criteria seem mutually contradictory, so that care is required in respecting them. In Chapter 2 we saw how different scientists approach a given problem by disparate means, guided primarily by tools in whose use they have developed skill and confidence. Faced with a novel problem, they thus reach for distinct tools in their search for increased insight. But before the community can persuade itself that the use of a particular set of tools has indeed led to a significant advance, trusted experts may first need to explain to each other how the respective tools work and the findings to which they point. The present chapter shows how this mutual persuasion may most effectively be pursued.

How to Revive a Spacecraft Millions of Miles Away in Space

I introduce the problem of reviving a spacecraft because it stresses the overarching significance of language in shaping the way scientists and engineers manage to repair a complex system when it breaks down. The astrophysics community may benefit from adopting a similarly formal approach for weeding out errors thwarting the field's progress, formulating long-term communal plans for astrophysical research and archiving astronomical data so it may benefit future generations.

Type
Chapter
Information
In Search of the True Universe
The Tools, Shaping, and Cost of Cosmological Thought
, pp. 329 - 349
Publisher: Cambridge University Press
Print publication year: 2013

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References

1. Controllability of complex networks, Yang-Yu, Liu, Jean-Jacques, Slotine, & Albert-László, Barabási, Nature, 473, 167–73, 2011.
2. Connectance of Large Dynamic (Cybernetic) Systems: Critical Values for Stability, Mark R., Gardner & W. Ross, Ashby, Nature, 228, 784, 1970.
3. Ibid., Controllability of complex networks, Liu, Slotine, & Barabási.
4. Ibid., Controllability of complex networks, Liu, Slotine, & Barabási.
5. Ibid., Controllability of complex networks, Liu, Slotine, & Barabási: See the online supplementary material to the Nature article of LSB, p. 13.
6. Past-Future Asymmetry of the Gravitational Field of a Point Particle, David, Finkelstein, Physical Review, 110, 965–67, 1958.
7. The Solvay Conferences on Physics – Aspects of the Development of Physics since 1911, Jagdish, Mehra, with a foreword by Werner Heisenberg. Dordrecht, The Netherlands: D. Reidel, 1975, p. vi.Google Scholar
8. Introduction: An Overview of the Knowledge Commons, Charlotte, Hess & Elinor, Ostrom, in Understanding Knowledge as a Commons – From Theory to Practice, edited by Charlotte, Hess & Elinor, Ostrom. Cambridge, MA: The MIT Press, 2007, pp. 3–26.
9. A Framework for Analyzing the Knowledge Commons, by Elinor, Ostrom and Charlotte, Hess, in Understanding Knowledge as a Commons – From Theory to Practice, edited by Charlotte, Hess and Elinor, Ostrom. Cambridge, MA, 2007: MIT Press, pp. 41–81.Google Scholar

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