I think that's exactly why theory people need to have real experimental expertise, so that they know how to reach out effectively to those folks, and how to frame their models (e.g. minimize equations in pubs) so that the exp. folk want to read them.
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I've work with data gathered by others. I've gathered data myself but only once and for an online thing (http://rescience.science ), so I don't really count it TBH. I have been involved in the design of experiments but never very very closely.
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Replying to @o_guest @bradpwyble and
But I have no idea if you consider me (I consider myself a modeller) a theory person and if you think I have "real experimental expertise"?
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Replying to @o_guest @bradpwyble and
Most people have experimental experience in the way I use these words due to the way cogsci and psych are taught. Modellers seem to emerge despite not because of most programmes — because the focus seems to be almost always empirical.
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Replying to @o_guest @bradpwyble and
So unless my experiences are somehow outlier ones (which they may be I realise I'm in a very small minority of people within cog/psych) I believe it's already the case that experimental experience is a baseline experience all PhDs have.
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Replying to @o_guest @bradpwyble and
But maybe modellers are not who you are talking about, in which case I guess my points are moot.
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Of course we also are speaking of modellers. How would you position yourself? As a (theoretical) computational modeler?
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I've models where I capture the data, reproduce the data others have collected. I also have ones where I predict data that doesn't exist while I did the modelling. I also do qualitative modelling and/or theoretical modelling. But like I said I usually work with others' data.
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Replying to @o_guest @IrisVanRooij and
I also do experiments on models to further understand the models themselves. Like science on a deep network.
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Replying to @o_guest @IrisVanRooij and
This is why I am not sure in all this where I would fit in.
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Above I made a typo. I meant to link to http://redistrict.science — what kind of modelling is that? It uses data but it doesn't really predict anything in and of itself.
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I'd be say/guess in cognitive (neuro)science you span the part of the spectrum ranging from theoretical modeling to data modeling. (the 1 dimension is a simplification ofc). And your gerrymandering work is an example of mathematical/computational modeling for social engineering?
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