Tag Archives: perspectives

Publication models in scientific research – journal publication a solution?

It’s really sad to read this article from SIAM president at end of year 2009.

http://www.ima.umn.edu/~arnold/siam-columns/integrity-under-attack.pdf

It describes how metrics for scientific journal such as impact factor can be totally misleading, because of manipulation. And it alerts to the scientific communities about the long hidden story of integrity.

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Google’s playing with politics?

The official Google Blog: A New Approach to China

http://googleblog.blogspot.com/2010/01/new-approach-to-china.html

Wrestling with the Chinese government and Chinese philosophies-This could be a serious topic for technological companies, in the upcoming era of web-based computing and social service. Microsoft has not in fact encountered this problem, because its past  business in China has focussed on software and operating system retails. It’ll be interesting to see how Google and Microsoft survive and consolidate their web services in China. Personally Baidu is the last engine I want to try. Continue reading

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冷眼新捐款门——张磊没错!

Yale News: Yale SOM Announces Largest Alumni Gift to Date

http://opa.yale.edu/news/article.aspx?id=7178

09年的捐款门是宣而未捐,如今的捐款门是捐助的对象不对。张磊给自己的母校Yale捐款,惹来的是激烈的网络争论,当然不乏谩骂甚至人身攻击。

首先这里有一个严格的逻辑问题:既然是捐款,还有什么对象不对的问题。人家的个人资产,本人应有支配的权利。但是捐款的用途,反过来是对捐款者道义的衡量依据:很简单,你把钱捐给拉登,搞恐怖主义,肯定得到多数人的批评。所以捐款也是投资,投资就会有好坏之分,其中一条譬如道义上的。另一种类似现象如炒房和房地产开发,在当今中国是受到多数人的仇视的。

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Future publication models in scientific research

Or: Do we need to perform interdisciplinary research into “science of publication”? (… and hence another dozens of international conferences and journals?)

NIPS2009 has held a special session, addressing the problem of publication models in future machine learning research. How serious the problem is can be somehow reflected by the overwhelming responses from the community, which in turn is described as “simultaneous concerns as well as many simultaneous proposals” that even paralyzed the full conversation (John Langford’s ML blog).

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