Scientists must work across large volumes of literature, specialized databases, experimental data, and evolving hypotheses in order to generate and evaluate new ideas.
这一描述揭示了现代科学研究的复杂性,强调了信息整合的挑战。AI可能不仅是信息处理工具,更是科学思维的外部化延伸,改变了科学家与知识的关系。
Scientists must work across large volumes of literature, specialized databases, experimental data, and evolving hypotheses in order to generate and evaluate new ideas.
这一描述揭示了现代科学研究的复杂性,强调了信息整合的挑战。AI可能不仅是信息处理工具,更是科学思维的外部化延伸,改变了科学家与知识的关系。
The development of the card system and itsmore universal adoption within recent years isundoubtedly due in the mail to the development in modernbusiness and factory organisation ; it may be regarded as anoffspring of manufacture in quantities. (Massenfabrikation, Gross-industrie.) The recognised principle in manufacture in quantities ismaximum of output with minimum of labour. The means to attainthis end is specialisation, which in its turn yields greater precisionand accuracy as it^ result. All this is equally applicable to thecard system, and the last factor, greater precision and accuracy,is one of its most conspicuous claims.
Julius Kaiser contemporaneously posits that mass manufacture and maximizing efficiency (greater output for minimum input) are the primary drivers of card index system use in the early 20th century. These also improve both precision and accuracy in handling information which allow for better company or factory operation, which would have been rising concerns for businesses and manufacturing operations at the rise of scientific management during the time period.
https://medium.com/@ben_fry/tracing-the-origin-65011dc20877
Could be interesting to apply this sort of process to a variety of texts over time. A draft of Mary Shelley's Frankenstein comes to mind.
How to view this through the lens of Thomas Kuhn's The Structure of Scientific Revolutions? particularly as this was the evolution of an idea by the same author over time...
There are some additional interesting questions here, like: how do you get to the edge quickly? How do you do that across multiple fields? What do you do if the field seems misdirected, like much of psychology?
I think this is where literature mapping tools come in handy. With such a tool, you can see how the literature is connected and which papers are closer to the edge of understanding. Some tools on this point include Connected Papers, Inciteful, Scite, Litmaps, and Open Knowledge Maps.
I think this requires taking an X-disciplinary approach that teeters on multiple disciplines.
Good question. It is hard to re-orient a field unless you can find a good reason (e.g., a crisis) for a paradigm shift. I think Kuhn's writing on [The Structure of Scientific Revolutions(https://www.uky.edu/~eushe2/Pajares/Kuhn.html) may be relevant here.
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Darren Dahly. (2021, February 24). @SciBeh One thought is that we generally don’t ‘press’ strangers or even colleagues in face to face conversations, and when we do, it’s usually perceived as pretty aggressive. Not sure why anyone would expect it to work better on twitter. Https://t.co/r94i22mP9Q [Tweet]. @statsepi. https://twitter.com/statsepi/status/1364482411803906048
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activist groups are more likely to tap into unconscious values and emotions — like using the term “Frankenfoods” to describe G.M.O.s
To develop this exhibition Life recognised that people construct knowledge for themselves, rather than passively absorb what’s fed to them, and they learn to learn as they learn.
Aim of CZ