17 Matching Annotations
  1. Oct 2022
    1. In “collaboration with his Zettelkasten,”61 Blumenberg worked to por-tray these tensions between different and changing historical meanings ofscientific inquiry.
    1. e called on his fellow rabbis to submitnotecards with details from their readings. He proposed that a central office gathermaterial into a ‘system’ of information about Jewish history, and he suggested theypublish the notes in the CCAR’s Yearbook.

      This sounds similar to the variety of calls to do collaborative card indexes for scientific efforts, particularly those found in the fall of 1899 in the journal Science.

      This is also very similar to Mortimer J. Adler et al's group collaboration to produce The Syntopicon as well as his work on Propædia and Encyclopædia Britannica.

      link to: https://hypothes.is/a/nvWZnuApEeuKR--5AeBv8w

  2. Jul 2021
    1. My feelings at the moment are that blogs are too linear—it would be quite hard to see which comments relate to which, which ones are most worth reading, and so on. A wiki, on the other hand, seems not to be linear enough—it would be quite hard to see what order the comments come in.

      The same problem exists for paleogeography Q&A forum.

    2. overall, the article proposes a way for massive collaboration in math, and explains the potential advantages which ultimately result from the inherent differences of human race and relativity (not the Einstein relativity, but the philosophical one which relates to the perspectives/angles of viewing the world in general): 1) the tendency of trying out different techniques to solve problems (assuming that we know exactly the same amount of knowledge), 2) the complementing nature of collective knowledge (if we know about different things), and 3) different strategies for approaching problems as people prefer and are good at different aspects of solving the same problem.

    3. it might be quite hard to say on your CV, “I had an idea that proved essential to Polymath’s solution of the *** problem,” but if you made significant contributions to several collaborative projects of this kind, then you might well start to earn a reputation amongst people who read mathematical blogs, and that is likely to count for something. (Even if it doesn’t count for all that much now, it is likely to become increasingly important.) And it might not be as hard as all that to put it on your CV: you could think of yourself as a joint author, with the added advantage that people could find out exactly what you had contributed

      interesting perspective; by contributing to discussions in written format, people can trace the contribution of each author (or participant of a discussion) more accurately in a later published result

    4. The next obvious question is this. Why would anyone agree to share their ideas? Surely we work on problems in order to be able to publish solutions and get credit for them. And what if the big collaboration resulted in a very good idea? Isn’t there a danger that somebody would manage to use the idea to solve the problem and rush to (individual) publication? Here is where the beauty of blogs, wikis, forums etc. comes in: they are completely public, as is their entire history

      The answer isn't that convincing and motivating; we need better stimuli for people to contribute

    5. Different people have different characteristics when it comes to research. Some like to throw out ideas, others to criticize them, others to work out details, others to re-explain ideas in a different language, others to formulate different but related problems, others to step back from a big muddle of ideas and fashion some more coherent picture out of them, and so on. A hugely collaborative project would make it possible for people to specialize

      mechanism 3: it is the difference that makes the human race flourish.

    6. Sometimes luck is needed to have the idea that solves a problem. If lots of people think about a problem, then just on probabilistic grounds there is more chance that one of them will have that bit of luck

      mechanism 1: trying out different techniques for solving the problem at hand

    7. we don’t have to confine ourselves to a purely probabilistic argument: different people know different things, so the knowledge that a large group can bring to bear on a problem is significantly greater than the knowledge that one or two individuals will have. This is not just knowledge of different areas of mathematics, but also the rather harder to describe knowledge of particular little tricks that work well for certain types of subproblem, or the kind of expertise that might enable someone to say, “That idea that you thought was a bit speculative is rather similar to a technique used to solve such-and-such a problem, so it might well have a chance of working,” or “The lemma you suggested trying to prove is known to be false,” and so on—the type of thing that one can take weeks or months to discover if one is working on one’s own

      mechanism 2: collective knowledge of a community is likely to better approximate reality; this applies especially to subjects like paleogeography; also related to relativity

    8. what you would not tend to do, at least if you wanted to keep within the spirit of things, is spend a month thinking hard about the problem and then come back and write ten pages about it. Rather, you would contribute ideas even if they were undeveloped and/or likely to be wrong.

      rules of the game

    9. Suppose one had a forum (in the non-technical sense, but quite possibly in the technical sense as well) for the online discussion of a particular problem. The idea would be that anybody who had anything whatsoever to say about the problem could chip in

      The platform and mechanism for collaboration

    10. classification of finite simple groups, or of a rather different kind of example such as a search for a new largest prime

      types of problems that require huge collaboration

    11. there are certain kinds of problems that lend themselves to huge collaborations

      the same for paleogeographic reconstruction, human genome sequencing, building large colliders, etc.

  3. Jul 2016
    1. Page 187 On hyper authorship

      "hyper authorship” is an indicator of "collective cognition" in which the specific contributions of individuals no longer can be identified. Physics has among the highest rates of coauthorship in the sciences and the highest rates of self archiving documents via a repository. Whether the relationship between research collaborators (as indicated by the rates of coauthorship) and sharing publications (as reflected in self archiving) holds in other fields is a question worth exploring empirically.

  4. Jun 2016
    1. Beaver and Rosen (1978) have shown how the differentialrates of scientific institutionalization in France, England,and Germany are mirrored in the relative output of coau-thored papers.

      bibliography tying rate of coauthorship to professionalisation of science

    2. In some domains, path-breaking work is nec-essarily the outcome of collaborative activity rather thanindividualistic scholarship, a fact reflected in the modestproportion of federal research funds which is allocated toindividual investigators rather than teams. Collaborationsare a necessary feature of much, though by no means all,contemporary scientific research.

      in some domains, collaboration is necessary. Hence the preference for team grants

    3. n general terms, the lone authorstereotype ignores the fact that a great deal of the scholarlyliterature is the product of a “socio-technical production andcommunications network” (Kling, McKim, Fortuna, &King, 1999),

      A great deal of scientific production is the product of a "socio-technical production and communications network"