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AdamMarblestone's profile
Adam Marblestone
Adam Marblestone
Adam Marblestone
@AdamMarblestone

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Adam Marblestone

@AdamMarblestone

Technologist, Scientist

adammarblestone.org
Joined February 2009

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    1. Grace Lindsay‏ @neurograce Apr 6
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      Replying to @schoppik @jjsakon @seanmcarroll

      We are soooo far from an all-Allen research landscape that even creating 10x as many such initiatives would still leave a lot of individual labs. I'm also not sure what's aversive about a tech driven approach? Their projects are well carried out, are they not?

      1 reply 0 retweets 5 likes
    2. Grace Lindsay‏ @neurograce Apr 6
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      Replying to @neurograce @schoppik and

      If every small lab could carry out their own pet experiments with the quality of the Allen that would surely be great! The only downside is that practically that means fewer labs exploring fewer individual things. But I dont see any problem with well-executed, tech-driven studies

      2 replies 0 retweets 2 likes
    3. Alex Naka‏ @gottapatchemall Apr 6
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      Replying to @neurograce @schoppik and

      another thing to consider is how incentives/advancement would work for scientists in a world with 10x more Allen Institute type organizations; it seems like the current model of everyone-needs-their-own-paper would have to change a lot

      2 replies 0 retweets 3 likes
    4. Grace Lindsay‏ @neurograce Apr 6
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      Replying to @gottapatchemall @schoppik and

      That sounds great!

      1 reply 0 retweets 1 like
    5. Adam Marblestone‏ @AdamMarblestone Apr 6
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      Replying to @neurograce @gottapatchemall and

      Was proposed here as well: http://blogs.cuit.columbia.edu/rmy5/files/2017/06/brain_observatory_paper.pdf … Strong agree. I just don’t see how certain key tech can be built otherwise. Would remain 1000s of individual labs too as you say.

      2 replies 0 retweets 2 likes
    6. Adam Marblestone‏ @AdamMarblestone Apr 6
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      Replying to @AdamMarblestone @neurograce and

      In general in bio, I see a big gap in the funding of 20-100 M$ scale projects to develop tech or infra to collect data we want. Of which several are needed. Examples: Etruscan shrew connectome, screen all combos of aging drugs/factors, scale up sc-proteomics tech, etc @ArtirKel

      1 reply 0 retweets 5 likes
    7. Adam Marblestone‏ @AdamMarblestone Apr 6
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      Replying to @AdamMarblestone @neurograce and

      There is no reason we should think the complexity of biological systems is magically perfectly matched to the contingent sociological happenstance of our current dominant organization of science intensive engineering and engineering intensive science!!!

      3 replies 1 retweet 13 likes
    8. john sakon‏ @jjsakon Apr 6
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      Replying to @AdamMarblestone @neurograce and

      Interesting to think of that deficit in terms of human brain capacity. As in how a single person can only grasp what ~100 people are doing at a time. Projects getting into the $20-100m range approach that cognitive bottleneck, so real organizational (industrial) know-how needed

      1 reply 0 retweets 3 likes
    9. Adam Marblestone‏ @AdamMarblestone Apr 6
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      Replying to @jjsakon @neurograce and

      Yes! Needed. But see for instance Intel, or LIGO, or CERN

      2 replies 0 retweets 1 like
    10. Shahab Bakhtiari‏ @ShahabBakht Apr 6
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      Replying to @AdamMarblestone @jjsakon and

      I would like to know more about the equivalent of theoretical basis that supported LIGO/CERN type of organizations, in neuroscience.

      1 reply 0 retweets 1 like
      Adam Marblestone‏ @AdamMarblestone Apr 6
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      Replying to @ShahabBakht @jjsakon and

      One of the biggest missing factors I think, yeah — that clarity of what to measure / test

      2:50 PM - 6 Apr 2020
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      • Shahab Bakhtiari john sakon
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        2. Grace Lindsay‏ @neurograce Apr 6
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          Replying to @AdamMarblestone @ShahabBakht and

          I agree neuro doesnt have the guiding theories that physics did when it really pivoted to big projects. But I think biology---unlike physics---actually needs the largescale efforts even in its pre-theoretic phase.

          2 replies 0 retweets 5 likes
        3. Grace Lindsay‏ @neurograce Apr 6
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          Replying to @neurograce @AdamMarblestone and

          Because of how messy biology is, to simply firmly establish a fact in neuroscience requires large N, well-controlled studies. So in order to build theories based on facts, I think we need a little more effort in solidly establishing these facts.

          2 replies 0 retweets 3 likes
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        2. john sakon‏ @jjsakon Apr 6
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          Replying to @AdamMarblestone @ShahabBakht and

          Yeah, people often make point that physics is centuries old, while neuroscience is really only at decades. So if we don’t know what basket to throw our eggs in, at least not nearly as well as physics (hence Blue Brain disaster), the many small labs exploratory model makes sense

          2 replies 0 retweets 1 like
        3. Adam Marblestone‏ @AdamMarblestone Apr 6
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          Replying to @jjsakon @ShahabBakht and

          Those aren’t mutually exclusive, though, and many good projects can take the form of measure ~everything at some level, or at least make tools to do so — HBP did not fall in this category, and was much more $/basket than focused technology centers as well

          0 replies 0 retweets 0 likes
        4. End of conversation

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