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Building a better collective memory In your High School science classes you may have learnt Hookeâs law, the law of physics which relates a springâs length to how hard you pull on it. What your High School science teacher probably didnât tell you is that when Robert Hooke discovered his law in 1676, he published it as an anagram, âceiiinossssttuvâ, which he revealed two years later as the Latin âu
Below is the first part of a post in response to Chris Anderson's latest cover article in Wired magazine entitled The End of Theory: The Data Deluge Makes The Scientific Method Obsolete. I had the whole post finished and ready to go, but hadn't counted on the poor quality of software that Sixapart (which hosts this blog) has rolled out in the latest version of its post editing system. Most of my w
[Translations: Japanese] Thereâs a dawning sense that extremely large databases of information, starting in the petabyte level, could change how we learn things. The traditional way of doing science entails constructing a hypothesis to match observed data or to solicit new data. Hereâs a bunch of observations; what theory explains the data sufficiently so that we can predict the next observation?
Illustration: Marian Bantjes âAll models are wrong, but some are useful.â So proclaimed statistician George Box 30 years ago, and he was right. But what choice did we have? Only models, from cosmological equations to theories of human behavior, seemed to be able to consistently, if imperfectly, explain the world around us. Until now. Today companies [â¦] Illustration: Marian Bantjes "All models are
Is posting raw results online, for all to see, a great tool or a great risk? The first generation of World Wide Web capabilities rapidly transformed retailing and information search. More recent attributes such as blogging, tagging and social networking, dubbed Web 2.0, have just as quickly expanded peopleâs ability not just to consume online information but to publish it, edit it and collaborate
Snowflake science is beginning to enter mainstream! A workshop on 18 June calls it research2.0. As they say: Grid-based, heavy-weight computing infrastructures, driven as they largely have been by the needs of researchers requiring High Performance Computing or High Throughput Computing, do not necessarily address the different needs of scientists across the full range of research areas and discip
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