Open and Sustainable Innovation Systems (OASIS) Lab working notes

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@wilkinsonBerkshireHathawayInternet2017

Nice example-of a clear presentation of a "bad path" and a "good path" (storyboard, UX style)

August 9th, 2020

Beautiful specific {{alias: example-of examples of}} tensions driving theoretical progress

Z: Most scholarly communication infrastructure operates on the document as the base unit

@harsDesigningScientificKnowledge2001 articulates some good {{alias: example-of examples of}} the kinds of queries that are both crucial for synthesis and functionally impossible to answer in our current scholarly communication infrastructure, such as V7DA5A8_-

@ adlerCruisingLibraryPerversities2017

has a wonderful example-of the profound consequences of seemingly mundane Classification decisions (i.e., infrastructure). They're focused on the consequences for social justice, but the consequences for siloing knowledge and contributing to Scatter (because of hte nature of a filing/classification system) are plain to me too.

Z: Synthesis is-necessary-for effective problem formulation

A good example-of this is Simon's study of insight problem solving on the mutilated checkerboard problem @kaplanSearchInsight1990, where noticing invariants in prior unsuccessful solution attempts was crucial for reformulating the insight problem, thereby making it soluble.

April 26th, 2020

an example-of how Z: Effective synthesis is rare and missing context, if you're going directly only off of citation statements in papers (makes me think of how this also makes the job of systems like sys/scite.ai harder)

August 9th, 2020

powerful example-of short-termism in scientific funding crippling our reservoir of knowledge for dealing with COVID-19

@wasowAgendaSeedingHow2020

strong example-of synthesis - proposes a new "agenda seeding" model to account for conflicting theoretical accounts (elite vs. pluralistic models) of the efficacy of different modes of protest for subordinate minorities

@hillEditWearRead1992

strikes me as a really interesting example-of Z: Organize by using, and to a fuzzier extent (through alignment of incentives between you doing something and you creating some computationally useful trace) Z: Prefer to accrete new infrastructures on top of existing ones

January 22nd, 2021

example-of this might be in responses to Matt Clancy's poll on twitter, where many people said they didn't start up collaborations, but nevertheless got a lot out of it

August 9th, 2020

A specific example-of this dance is the significance of the seed germination experiments, which seem trivial on their own, but gain in significance when considering the hypothesis of a single origin for new species through dissemination

@geigerOpeningBlackBox2017

nice example-of m/Autoethnography from Stuart's experiences as a veteran insider on sys/Wikipedia

@blakeCollaborativeInformationSynthesis2006

is an example-of how context is critical for synthesis (in this case, showing the kinds of context queries scientists look for to try to do synthesis over contradictory findings in a systematic review

R: sokolMindMadeOut2017

Delightful example-of distributed cognition in... spiders! Using their webs to "think"

January 26th, 2021

More example-of context in this paper examining what features are relevant to dig into when assessing a study that aims to estimate the causal impact of policies

January 27th, 2021

While digging through Utrecht University Library 400+ Tools and Innovations in Scholarly Communication Tools, came across sys/Mark2Cure, a heartbreaking example-of the inadequacy of the [[specialized curator model of semantic publishing]] (in this case, via citizen science)

@levySystemsApproachConduct2006

appraisal Has some really nice example-of the outputs of synthesis, but I wish there was more about the process! HOW do you get to those outputs? Think harder? Work longer?

@ribaupierreExtractingDiscourseElements2017

Powerful example-of a complex query that can't be answered in existing document-centric infrastructure: "Find all the findings that analyse why the number of women in academia falls more sharply than the number of men after their first child, using qualitative and quantitative methodologies"

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