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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. Bart tweets progress.‏ @SfPRocur Mar 6
      • Report Tweet

      Sometimes (I'll call this case A) the authors even send us their code and we dig in their code and discover the results are being driven by complex things that are not in the paper/spec!

      1 reply 5 retweets 6 likes
      Show this thread
    2. Bart tweets progress.‏ @SfPRocur Mar 6
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      Other times, and typically more often (case B), we never get hold of the original codebase AND the original spec/paper doesn't have enough information to replicate the results.

      1 reply 5 retweets 5 likes
      Show this thread
    3. Bart tweets progress.‏ @SfPRocur Mar 6
      • Report Tweet

      In case A, it's a relief in some ways as we can pinpoint what drives the results and why the model works. So we can take the implementation detail that drives the results and elevate it to the model/spec level. So it goes from an "unimportant" detail to an important model aspect.

      1 reply 5 retweets 4 likes
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    4. Bart tweets progress.‏ @SfPRocur Mar 6
      • Report Tweet

      In case B, it's just a nightmare as often we cannot find out what is driving the original published modelling results. So in some ways that's a bad state for science to be in, basically what looked like a step forward (a useful model) was just not.

      1 reply 5 retweets 4 likes
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    5. Bart tweets progress.‏ @SfPRocur Mar 6
      • Report Tweet

      So we cannot rely on the original codebase to claim that a model is reproducible or not, we have to rewrite the code. The original codebase is useful in cases where a spec isn't written but ideally authors/modellers should have one clearly stated in the publication...

      1 reply 5 retweets 8 likes
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    6. Bart tweets progress.‏ @SfPRocur Mar 6
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      because even with the original codebase often the effort required to fish out what drives the results can be prohibitive and impossible for another party to do.

      1 reply 5 retweets 6 likes
      Show this thread
    7. Bart tweets progress.‏ @SfPRocur Mar 6
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      The spec is needed most of all — the original code of course should be released too, but understood to be limited in terms of helping evaluate the modelling account.

      1 reply 6 retweets 6 likes
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    8. Bart tweets progress.‏ @SfPRocur Mar 6
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      By spec here I mean the materials released with the model, mainly the journal article. If the journal article is not well-written enough to be able to replicate (re-implemental) the model, that's a bit of a bad sign.

      1 reply 4 retweets 4 likes
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    9. Bart tweets progress.‏ @SfPRocur Mar 6
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      I hope this has shed some light on how some modellers, of course I cannot speak for all, evaluate their models and do modelling, and how #openscience and #reproducibility fit in to this picture. Please feel free to ask any questions!

      3 replies 6 retweets 12 likes
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    10. Eric Lawton‏ @Eric0Lawton Apr 14
      • Report Tweet
      Replying to @SfPRocur @o_guest

      Do you think there could be value in a formal specification language for models in your field, in the same way that Unified Modeling Language (UML) is used for industrial software models – a level of abstraction between prose and code?

      1 reply 1 retweet 1 like
      Olivia Guest | Ολίβια Γκεστ‏ @o_guest Apr 14
      • Report Tweet
      Replying to @Eric0Lawton @SfPRocur

      I think it's complicated, but things like this have been attempted a few times, e.g., cognitive architectures would/could fit that bill.

      9:41 AM - 14 Apr 2019
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      • Eric Lawton
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