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Modern Interdisciplinary University Statistics Education Proceedings of a Symposium (1994) / Chapter Skim
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Discussion
Pages 21-26

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From page 21...
... PETER BICKEL: Of course, there has been a Tong-standing Bayesian course in the industrial engineering department. Berkeley also has a graduate Bayesian course that has been developed over the last couple of years by Andrew Gelman.
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From page 22...
... We have in some sense faced that in our own department because we have a very strong pure probability group, and ~ believe there is much less willingness within that group to accept a view that a statistician should be the holistic "all-around-er" that Jon Kettenring described. T would hope that in mathematics departments the natural vehicle would be to form alliances with applied mathematics and to produce people who are PhDs in applied mathematics, because ~ think there is hope of having mathematicians who also recognize the need for some of these other skills.
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From page 23...
... I LAURIE SNELL: As something of a philosophical question, to what extent should an academic institution ignore all the desires for particular training and continue being an ivory tower providing traditional education?
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From page 24...
... As long as publications outside the mainstream statistics literature are undervalued in the tenure process, faculty in the early stages of their careers are not going to be encouraged to undertake such work. Developing interdisciplinary work often takes longer than continuing work on one's dissertation, that is, continuing work in statistical theory, so that it is dangerous for new faculty to undertake interdisciplinary work.
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From page 25...
... Some of these people had undergraduate training in psychology or engineering or computer science, and even graduate-level training that involved serious work outside a statistics department. It is striking that no one has mentioned strengthening multidisciplinary education; in fact, making statistics education multidisciplinary would mean having statistics graduate students do serious work in some other field.
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From page 26...
... book ~ cited in my talk, but not major recent disasters, although ~ think it is an interesting question. To slightly disagree, my son is starting a program in molecular biology at MIT in which one of the courses examines historical papers, but focusing on the points that are questionable: Was the evidence in the paper actually adequate for the conclusion that was reached?
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Key Terms

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  • integrated science

  • bayesian course
  • publications outside
  • continuing work
  • applied mathematics
  • david freedman

  • real experience
  • existing curriculum
  • historical papers
  • department teaches
  • statistics literature

  • current population
  • cancer hazard
  • bayesian inference
  • critical data
  • interdisciplinary faculty

  • experiences communicating
  • pure probability
  • tower providing
  • industrial engineering
  • statistical measures

  • actually adequate
  • slightly disagree
  • role models
  • mellon tried
  • separate statistics


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