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Synthesis
Synthesis is sensemaking
Scholarly synthesis is problem framing
Synthesis is learning
A causal model is a kind of synthesis
Interdisciplinary synthesis must integrate diverse evidence
systematic reviews are a narrow subset of synthesis
systematic reviews are infrequently updated, despite often being outdated very quickly
Writing review papers is impactful but discouraged
Compression
Claims are a usefully granular unit of knowledge reuse in design
Atomic statements are a fundamental unit of scientific discourse
Decontextualized knowledge is easier to store and refind
Context
[[CLM - Contextualizability is necessary for synthesis]]
People must recontextualize knowledge before they can reuse it
flexible compression can mitigate costs of context specification for knowledge reuse
Analytic provenance is necessary for effective intelligence analysis
[[CLM - Compression and contextualizability are in tension]]
Compositionality
Requiring formalism in interactive systems can be harmful
[[CLM - incremental formalization can mitigate risks of formalism in interactive systems]]
People are reluctant to formalize
Tacit knowledge cannot be formalized
Interactive systems that require formalism frequently struggle with user adoption
Useful structures and formalisms vary significantly across people, situations, and tasks
Fundamental ontologies of disciplines change as the disciplines evolve
Ontologies create an unhelpful illusion of consensus and certainty
Information work
[[CLM - Scientists read strategically, not linearly]]
People very frequently search for articles they have found before
Citation is a noisy signal
Scientists often cite to...
Most systematic reviews are done by temporary volunteers
Many systematic reviews are done in an ad-hoc mix of tools
Researchers today spend less time reading each paper than in the past
Researchers today read more papers than in the past
Researchers today read more than twice as many different journals as they did in the past
Annotations
Most private annotations are not useful to other people
Notes are boundary objects
Scientists repurpose qualitative data analysis software to do synthesis
Sensemaking
There is a small and finite set of sensemaking representations
People start making sense of large collections by forming temporary clusters
Data extraction is the main cost of sensemaking
(up to 75% of total time needed)
Scientific systems
Ghost theories hinder scientific progress
Bullshit is very adaptive in environments with noisy and costly evaluation
Leeway is a critical enabler of interdisciplinary work
Intellectual lineage constrains the questions scientists ask
PIM
Information is often fragmented across media
People like folders
People often spend most of their 'thinking' time getting into a position to think
Piles of documents often have well-defined semantics
The process of capturing information may be more valuable than the information that is captured
Interactive systems