Do you have a blurb we could send to lists that we’re on?
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Soon!
I’ll write it in a while, and post it here.
Sending a blurb broadly to many society/conference lists sounds great! I’d love to see some talks on Bayesian methods in developmental & clinical neuroscience especially
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Ok, I wrote a mini call here. Please check that it makes sense and there are no horrible grammatical/spelling mistakes (I’m not a native speaker and I’m not getting enough sleep).
If the call makes sense, we can adapt it for a blurb, I guess by just replacing “this thread” by the actual link.
This for sure could be improved:
The contributed talks should demonstrate an interesting use of Stan for the fields of cognitive science and neuroscience.
But I’m lacking imagination right now. Any suggestion?
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This is great, and spelling and grammar looks good to me. I tried to expand just a little bit to help people realize their work might be relevant, but I found it hard to do much more than list keywords that pop into my mind.
Contributed talks should feature Stan implementations that are useful for interesting problems in cognitive science and neuroscience, including computational modeling, psychometrics, classification and prediction, and domain-specific workflows.
Might also be nice to add a specific statement about soliciting input from diverse participants, taken from OHBM via this article:
The organizers of this StanConnect session welcome and encourage contributions from all scientists. We strongly value diversity and are committed to creating an equitable environment where human diversity is welcomed and respected. While no list can hope to be comprehensive, we explicitly honor diversity in: age, culture, ethnicity, gender identity or expression, language, national origin, political beliefs, profession, race, religion, sexual orientation, and socioeconomic status.
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thanks!
I just edited. Feel free to post abstracts now and send the blurb to lists!
I’m sending this to mathpsych, cogsci, CMCL, and AMLAP lists for now.
Dear all,
As part of StanConnect 2021, we intend to propose a session on cognitive science and neuroscience on November 26, 2021, time to be confirmed (depending on the location of the majority of the speakers).
(If you don’t already know, Stan (https://mc-stan.org/) is a state-of-the-art platform for statistical modeling and high-performance statistical computation.)
We’re looking for contributed talks for the proposal to StanConnect. If your are interested in giving a talk, please reply in the following discourse thread Cognitive Science and Neuroscience StanConnect 2021 Call for abstracts with a title, a 250-words abstract, and your location/time zone. We’ll receive abstracts until April 21, 2021 11:59 PM (CEST, UTC+02:00). The selection will be based on an open poll in the discourse thread for 24 hours during April 22, 2021 .
Contributed talks should feature Stan implementations that are useful for interesting problems in cognitive science and neuroscience, including computational modeling, psychometrics, classification and prediction, and domain-specific workflows.
Submitting an abstract entails the commitment to a 10-20 minutes talk (tbd) and the submission or link to a self-contained notebook, such as knitr/rmarkdown or Jupyter (by November 12, 2021 ). The notebook should include separate files containing the Stan program, data, initializations if used, and a permissive license for everything such as CC BY 4.0.
The organizers of this StanConnect session welcome and encourage contributions from all scientists. We strongly value diversity and are committed to creating an equitable environment where human diversity is welcomed and respected. While no list can hope to be comprehensive, we explicitly honor diversity in: age, culture, ethnicity, gender identity or expression, language, national origin, political beliefs, profession, race, religion, sexual orientation, and socioeconomic status.
Best,
Bruno
Please post some abstracts so that the other thread doesn’t feel so lonely :)
ehem, looking forward to see the abstracts of @mike-lawrence, @michael-franke, and @paul_a_bloom
And abstracts of incomplete projects are also fine, there is always the possibility of simulated data.
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Late to the party!
Replied briefly on Twitter and realized that I need to do it here, too.
I use Stan mainly for learning models (e.g., Rescorla-Wagner), and could contribute to the discussion of within-subject model specification of those learning models (e.g., drug vs control; under stress vs no stress).
Happy to give away to other more interesting topics, though.
Lei
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Hi @lei-zhang,
Learning models and the within-subj specification sounds great! Please post an abstract here. We’ll vote if we have a large number of abstracts.
Best,
Bruno
I’d love to attend!
This sounds amazing!:
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I’ll try to post an abstract before April 21 with a topic along the same line of “cluster-failure” in neuroimaging. @bnicenboim @mike-lawrence
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Happy to cede the topic to you; I actually thought this was going to be a smaller/less-formal kind of event, and feel a little less confident in being able to generate content for that topic worthy of what I now appreciate it’s going to be :)
Also happy to collaborate if you want a second set of eyes on your work in this area!
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Sorry, I’m trying to make it transparent more than formal, and to be able to connect with more than the usual people that are around in discourse!
Half baked content is more than ok! You just need to produce 250 words describing it now (and a small notebook of what you did in 6 months!). I’m actually looking forward to hear about speeded choice data ;)
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Cool, gotcha :)
Ok, that’s definitely a topic I have a lot more content on already (related vid from years ago; though I’ll probably talk about a more “descriptive” location-scale log-rt & binomial error measurement model rather than a full process model like lba/diffusion), so I’ll submit an abstract on that. And I’ll probably end up combining it with the “high-dimensional multi-normal has nuanced/strict assumptions” work I’ve been doing more recently since the many-parameters-per-condition nature of the speeded-choice observation model puts us in the high-dimension realm.
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I’d be interested in attending. We have paper in ELife where we used brms for hierarchical modeling of delay-discounting. We have also been using Stan to model risk-preferences and estimate effects of silencing cortex (in rats). When do you need the abstract submission?
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Hi all,
If you thought about writing an abstract, now would be a good time :)
The deadline for abstracts is tomorrow.
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