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Big little, little big. By Caveman.

机译:大一点,大一点。由穴居人。

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摘要

Another beautiful day, albeit on a different continent from when we last spoke. Jetlag and coffee, and now I'm on a train heading for the lovely island where our meeting will take place. It does seem strange to travel halfway around the world to gather with the folks who gathered only a few weeks ago (and also halfway round the other way), but I'm not complaining - great locations and great science with fun people. I wouldn't have it any other way (okay, maybe without the jetlag). But that isn't what we were talking about. We were ruminating on big science and little science, how we justify each and how they are both little, and both big. But the challenge we left off with is how to inform those who make the policy decisions (and by 'policy', I mean 'money') as to the justification for what we think of as little science, which so often seems to fall prey to the dictum that science should be 'big'. But, I argued, little is big - the issue is only one of serial versus parallel processing and the advantages of each.
机译:另一个美好的一天,尽管与我们上次发言时所在的大陆不同。时差和咖啡,现在我正乘坐火车前往将在这里举行会议的美丽岛屿。环游世界与几个星期前才聚集在一起的人们聚会似乎很奇怪(反之亦然),但我并不是在抱怨-地理位置优越,与有趣的人相处的科学很棒。我不会有其他方式(好的,也许没有时差)。但这不是我们在说的。我们正在对大型科学和小型科学进行反思,我们如何证明每种科学的合理性,以及它们既小又大。但是,我们所面临的挑战是如何告知决策者(我们所说的“政策”,我的意思是“钱”),以证明我们认为很少的科学的合理性,而科学常常被视为牺牲品。科学应该“大”的格言。但是,我认为,没有什么大不了的-问题只是串行处理与并行处理中的一个,以及每个处理的优点。

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