"practicality" might have been the worst choice of word possible here. I meant as compared to maybe "ineffability," favoring embracing folk knowledge. In this context it means vs. idealism, academic impossibility. humbling how the meaning flips over such a small cultural divide
I was using linked data here as if it were a near-synonym for semantic web, a subconcept of the broader idea: that's how I've heard it used. but to some people in these communities it is an opposing idea, a reaction against semweb. so close and yet so far
the variation in reaction is instructive: some hear semweb as the totalizing ontology part (it's impossible, it failed), some as the technology and its effects (thriving under different names!) some hear it as the syntax and standards of triplets and beyond (still don't know!!)
anyway, as someone trying to understand and communicate with people in a neighboring programming community and finding all the words meaning different things, if anyone still (distressingly!) discounts qualitative/social/etc. research, this is why it is hard & important^^
(working on smth that gives appropriate credit to as many that did this work/study it as I can find, tbc, not pretending like I am saying anything new here, still figuring out what the heck)
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it's that proclaimin' hour: the more I learn about the lineage of each, the more I think a blending of the open science, semweb/linked data, and piracy communities would be an extremely healthy thing for the human knowledge ecosystem. but I still don't know much much they talk rn
the semweb/ld people are maybe a decade ahead of the open science people on the cultural burnout from purity/overpromising vs. tooling to make it real problem. the piracy people are maybe 15y ahead on incentive systems for uploading data and decentralized curation of metadata
if academia was as nimble as infosec, it would pick off the admins, sysops, and moderators of private BitTorrent trackers: they built what we're trying to build a decade ago and did it at the scale of the entirety of human culture, not just one scientific subdiscipline.
Today we're releasing Autopilot - a Python framework for performing complex behavioral experiments by distributing them over swarms of Raspberry Pis. Let me tell you how we've rewritten what you should consider possible in your experiments /1
site: auto-pi-lot.com
We think that to make transformative progress in understanding the brain, we need to study complex, naturalistic behavior. We know we're not alone there, but the technical demands of these experiments start to sound almost comical: eg. how hard would it be for you to... /2
measure pupil dilation, respiration, and running speed; track the position of a dozen points in 3d, record hundreds of channels of ephys while an animal performs some complex task in a virtual reality space that you render in real time? /3