Open and Sustainable Innovation Systems (OASIS) Lab working notes

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Z: Composability is necessary for synthesis

Joel Chan TaskWrite TaskNext Flesh out idea of levels of compositionality related to levels of synthesis. Probably want ot flesh out reading notes from source papers first, e.g., @holbrookLevelsSuccessUse2008, etc.

Description

There are levels of compositionality

Claim Some types of synthesis are simpler to produce than others (p. 355-356)

Assemblage / quasi-synthesis

Thought-Fragment Additionally, the IVEO Matrix isn't quite where we want it to be yet: it's more of a meta-analysis or systematic review, rather than a coherent new whole. There is no causal model or graph that ties it all together to support sophisticated reasoning and decision-making

Bare minimum: can "affinity" group things

Collections and tags can kind of do this; but the upper limit on synthesis will be quite restrictive

Better: can connect things

Even better: can formalize things, typed relationships (e.g., contradiction, warrant, etc.)

Cf.

Principle 10: Save contradictory ideas

Synthesis is impaired in xyz way when we don't have sufficient compositionality

Classic example: affinity diagram?

In this vein, systematic reviews can be construed as a narrow subset of synthesis (and literature reviewing)

It's also that these systematic reviews and meta-analyses are often laser-focused on just one edge in a causal model!

Granted, good reviews (especially meta-analysis) might try to estimate some of the variability, but they're rarely focused on explicating a causal model or larger whole.

Especially in medicine (e.g., Cochrane systematic reviews), the goal is more about getting a really good handle on what the evidence can say about a very narrowly defined question.

Thought-Fragment Additionally, the IVEO Matrix isn't quite where we want it to be yet: it's more of a meta-analysis or systematic review, rather than a coherent new whole. There is no causal model or graph that ties it all together to support sophisticated reasoning and decision-making

R-Sources

Four Positivist epistemological models of scientific knowledge from philosophy of science R: popperLogicScientificDiscovery1959 R: nagelStructureScienceProblems1979 R: dubinTheoryBuilding1978 R: bungePhilosophyScience1998 agree that scientists build theories as systems of scientific statements, which are composed of relationships between concepts (p. 70) πŸ“ lit-notes Atomicity compositionality
@harsDesigningScientificKnowledge2001

Introduces the Learning Loop Complex and idea of encodon as bridge between data and representations (Schemas)that are then used for downstream tasks during sensemaking (p. 271)
@russellCostStructureSensemaking1993

Notional Model of Sensemaking in intelligence analysis has a looping structure that loops both between and within foraging and sensemaking loops, and progressively increases in both structure and effort, starting from raw data sources and culminating in a synthesized set of hypotheses πŸ“ lit-notes (p3)
R: pirolliSensemakingProcessLeverage2005

Status: Z

Z: Composability is necessary for synthesis