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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. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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      "In this talk I will discuss the different types of replicability/reproducibility, focussing heavily on the two that involve software/computational models. I recall talking to people at The Software Sustainability Institute when I applied and become a fellow,

      1 reply 10 retweets 19 likes
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    2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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      and I realized software people (coders, users) who aren't modelers predominantly care about code being time- and machine-independent. However scientists who are modelers also care about the specification,

      1 reply 3 retweets 8 likes
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    3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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      i.e., the theory, being captured by newly-created software written based on a journal or conference paper. In other words, modelers create models to capture theoretical frameworks in such a way that their ideas can be executed and the repercussions of the theoretical assumptions

      1 reply 3 retweets 8 likes
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    4. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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      can be computationally tested. Machine learning is a field that cares deeply both about software and about modeling/science. My PhD brought to light a lot of the issues that arise when both types of replication cannot be carried out

      1 reply 1 retweet 4 likes
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      Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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      underlining that even if the code was available all models should (strive to) be re-implementable given their specification/theory/article. I will elaborate on how code can be disseminated and preserved,

      6:33 AM - 14 Jul 2018
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      • Esther Mondragón Joachim Wagner David Bauer Aji Ghose EvolutionaryDeadEnd Konrad Hinsen
      1 reply 1 retweet 5 likes
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        2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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          but also that in many cases even code from a few months ago might not work out-of-the-box. However useful it is to be able to re-run code from the past, it is often secondary to doing good science because checking that the spec is generally correct

          1 reply 1 retweet 5 likes
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        3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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          — i.e., the theory is actually computationally captured — is more important to science. Implementation-only details, for example, might need to be upgraded to theory-level if they turn out to be imperative to modelling a certain effect.

          1 reply 1 retweet 5 likes
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        4. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 14 Jul 2018
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          And vice versa, theory-level assumptions could be relaxed if it is found that other important aspects of the theory are nonetheless captured with a variety of implementations."https://figshare.com/articles/Varieties_of_Reproducibility_in_Empirical_and_Computational_Domains/6818018 …

          0 replies 1 retweet 7 likes
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        5. End of conversation

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