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o_guest's profile
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
@o_guest

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Olivia Guest | Ολίβια Γκεστ

@o_guest

• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com  •

Τότεναμ, Λονδίνο & Cyprus
olivia.science
Joined October 2015

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    1. Neuroskeptic‏ @Neuro_Skeptic 2 Nov 2018
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      "Reports of computational studies should remain selective and include all and only relevant bits of code." https://www.ncbi.nlm.nih.gov/pubmed/30377880?dopt=Abstract … Could sharing too much code harm reproducibility?pic.twitter.com/mAUF5pDjeT

      2 replies 5 retweets 17 likes
    2. Daniel Müller-Komorowska‏ @scidanm 2 Nov 2018
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      Replying to @Neuro_Skeptic

      Did not read yet but it spontaneously makes sense to me in a way that sharing all code is no substitute for writing a good paper about it. On the other hand, how sharing code could do damage I don't quite get yet.

      2 replies 0 retweets 1 like
    3. Marcin Miłkowski‏ @MilekPl 2 Nov 2018
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      Replying to @scidanm @Neuro_Skeptic

      It harms only when you think that sharing code is a substitute for writing an informative paper. We should strive both for sharing code and for writing good papers.

      1 reply 1 retweet 7 likes
    4. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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      Replying to @MilekPl @Neuro_Skeptic

      We made this argument here ourselves a few years ago: Cooper, R. P. & Guest, O. (2014). Implementations are not specifications: specification, replication and experimentation in computational cognitive modeling. Cognitive Systems Research. http://dx.doi.org/10.1016/j.cogsys.2013.05.001 …

      1 reply 2 retweets 16 likes
    5. Marcin Miłkowski‏ @MilekPl 3 Nov 2018
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      Replying to @o_guest @Neuro_Skeptic

      Indeed, the abstract seems to argue for the same point. Wish we knew before! (Probably our justification is different, though).

      1 reply 0 retweets 4 likes
    6. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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      Replying to @MilekPl @Neuro_Skeptic

      Kind of you to say! You cited another paper I'm an author on BTW. So yeah, what's your justification? 😊

      1 reply 0 retweets 3 likes
    7. Marcin Miłkowski‏ @MilekPl 3 Nov 2018
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      Replying to @o_guest @Neuro_Skeptic

      We argue that modeling papers should satisfy a specific norm: be complete wrt what it takes to evaluate the validity of a model. Of course, complete in the context of an ongoing distributed discussion, not self-contained in an absolute sense.

      1 reply 1 retweet 5 likes
      Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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      Replying to @MilekPl @Neuro_Skeptic

      I think that's the same as our point. And with respect to what @Neuro_Skeptic tweeted you can easily argue: IN CERTAIN CASES releasing code can impair research as it can be used a crutch to avoid understanding the model.

      7:20 AM - 3 Nov 2018
      • 2 Retweets
      • 7 Likes
      • Chris Madan 🐘🧠💻 Carsten Allefeld Shila_Pathar🌈 (she/her) Iris van Rooij Aji Ghose Neuroskeptic Marcin Miłkowski Dan Simpson Olivia Guest | Ολίβια Γκεστ
      1 reply 2 retweets 7 likes
        1. New conversation
        2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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          Replying to @o_guest @MilekPl @Neuro_Skeptic

          If I am understanding you correctly what you call complete we call a "spec".

          1 reply 0 retweets 2 likes
        3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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          Replying to @o_guest @MilekPl @Neuro_Skeptic

          So we can reduce the question in the OP to: "Could sharing [...] code harm reproducibility?" and answer with "Very much so, in certain specific cases which have and do arise quite frequently, sadly."

          1 reply 3 retweets 6 likes
        4. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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          Replying to @o_guest @MilekPl @Neuro_Skeptic

          But to be clear that does not mean we should not release code. It means we should but should warn scientists (as our two papers do) of what happens when we are not careful and just "mash buttons" on models/code with no deeper understanding.

          1 reply 4 retweets 10 likes
        5. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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          Replying to @o_guest @MilekPl @Neuro_Skeptic

          From p.43 "if a model is to be made freely available then it must come with a clear statement of the relation between the model and the theory behind the model. [I]t should not be necessary to scrutinize code in order to understand the model’s assumptions."http://dx.doi.org/10.1016/j.cogsys.2013.05.001 …

          2 replies 4 retweets 13 likes
        6. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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          Replying to @o_guest @MilekPl @Neuro_Skeptic

          I assume we agree on all this, right? 😅 "Providing computationally naïve researchers with an implementation without also providing them with the means to discriminate between the consequences of theory-relevant or theory-irrelevant assumptions raises the possibility that such...

          1 reply 3 retweets 5 likes
        7. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
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          Replying to @o_guest @MilekPl @Neuro_Skeptic

          researchers will over-interpret the model’s behavior. This can work in two ways: being excessively impressed with some positive aspect of the model’s behavior that is not due to the theoretically critical elements of the model, or being unduly critical of some negative aspect...

          1 reply 3 retweets 3 likes
        8. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 3 Nov 2018
          • Report Tweet
          Replying to @o_guest @MilekPl @Neuro_Skeptic

          of the model’s behavior that is a consequence of a minor implementation decision rather than a theoretically critical element." p. 43

          1 reply 3 retweets 5 likes
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