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Ways of thinking, ways of seeing [provisional title] CUP proposal from Chris Bissell & Chris Dillon (editors)

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Ways of thinking, ways of seeing [provisional title] CUP proposal from Chris Bissell & Chris Dillon (editors). Mathematical and other modelling in engineering and technology. Why?. Much of what has been written about mathematical modelling has been either

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Ways of thinking, ways of seeing [provisional title]CUP proposal fromChris Bissell & Chris Dillon (editors)

Mathematical and other modelling in engineering and technology

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Why?
  • Much of what has been written about mathematical modelling has been either
    • an attempt to cast traditional mathematics in ‘modelling’ dress, still quite divorced from professional practice; or
    • a detailed study of historical and/or contemporary practice in the natural sciences or economics
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Why?
  • Engineering and technology, like science, often use mathematical descriptions of the world.
  • Because engineering models use many of the same mathematical techniques as scientific models it is easy to assume that they are one and the same in essence.
  • Yet in the case of engineering (and technology in general) such models are much more likely to be used to design devices, equipment or industrial plant than for representing and analysing natural objects or phenomena.
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Why?
  • This means that historically there has been just as great – if not greater –emphasis on rules-of-thumb, charts, and empirical models as there has been on analytical models.
  • Other important tools have been scale models of various types, analogue simulators, and analogue and digital computation.
  • A characteristic of all these approaches has been to develop new ‘ways of seeing’.
  • This book aims to studying these aspects modelling in a broad technological context.
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What?

1. Models – what do engineers see in them?

Chris Dillon, Open University

2. Meta-tools for information engineering design

Chris Bissell, Open University

3. Physical models, electrical analogies, and analogue computers: a history of early computational modelling

Charles Care, University of Warwick

4. Empirical Modelling: the Return of Analogue Computing?

Steve Russ, University of Warwick

5. Expanding the concept of ‘model’: the transfer from technological to human domain within systems thinking

Magnus Ramage and Karen Shipp, Open University

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What?

6. Visualisations for understanding complex economic systems

Marcel Boumans, University of Amsterdam

7. Philosophical Implications of Dimensional Analysis

John Bissell, Imperial College, London

8.Putting the Earth System in a numerical box?

Reflections concerning the evolution of climate modelling

Amy Dahan, Centre Koyre, Paris

9. Modelling noise

Mike Meade, Open University (contribution tbc)

10. Modelling: what is it all about? (title tbc)

John Monk, Open University

role of sirg terg
Role of SIRG/TERG?
  • There is still room / time for an additional contributor or two!
    • But I must get the proposal off to CUP early next month
  • Provided proposal is accepted …
    • Critical readers always welcome
    • Of individual chapters, not whole thing!
  • CUP not keen on provisional title … ??
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