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  <title><![CDATA[Statisticians at Work: Inspiration, Aspiration, Ambition]]></title>
  <body><![CDATA[<p>TITLE: Statisticians at Work: Inspiration, Aspiration, Ambition</p><p>SPEAKER: C.F. Jeff Wu</p><p>ABSTRACT:</p><p>A
        key measure of the maturity and quality of a scientific
        community is how it judges and values <em>accomplishments</em>
        and (or versus)&nbsp; <em>scholarship</em>.
        &nbsp;To address this question, I will describe
        the motivation or drive for accomplishments and/or scholarship
        at three levels: inspiration, aspiration, ambition. They
        represent different (but not necessarily exclusive) mindsets or
        <em>modi operandi</em>. I will use several prominent
        examples in statistics history to explain or illustrate the acts
        of inspiration, aspiration, and ambition. They include:
        Pearson’s arguments with Fisher and with Yule, some breakthrough
        work of Fisher, Neyman, Tukey, Box, Efron, and the more humbling
        experience of my work in experimental design. Then I will share
        some thoughts on what are good or bad mathematical statistics
        work. Finally, I will give some advice (three dos, three don’ts)
        to young researchers. Throughout this talk, I will use the
        “lens” of inspiration, aspiration, and ambition in making my
        examinations, remarks and suggestions. </p>]]></body>
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