Subnodes by @scalingsynthesis

@wolfCurseXanadu1995
_index
About this notebook
Adding structure later feels like a chore
Agenda
Agora
Airtable
Archiving
Atlas.TI
Blog database
C- A DSL allows people to expand their use cases far beyond the imagination of the designer
C- A DSL could be a powerful interface for entering information into a discourse graph
C- A DSL speeds up the author
C- A key requirement to participating in a discourse graph for a specific domain is knowing the vocabulary used in that graph
C- A structural editor can make a DSL approachable to end-users
C- A structural editor could allow people to make and edit data structures
C- An ideal decentralized discourse graph would enable people to view information at different levels of granularity through a ZUI
C- An ideal decentralized knowledge graph would map a social graph and a knowledge graph
C- An increasing amount of structure leads to entropy
C- Breaking ideas down into component parts facilitates creative reinterpretation
C- Bulk refactors are a necessary primitive to maintaining a decentralized discourse graph
C- Composability facilitates synthesis
C- Compression and contextualizability are in tension
C- Compression facilitates synthesis
C- Context is necessary for knowledge reuse
C- Contextualizability is necessary for synthesis
C- Curation is an important role in maintaining a decentralized discourse graph
C- Current tools do not support flexible exploration and refactoring of structures as they inevitably evolve
C- Designing for ambient review is a rich opportunity space
C- Discourse graphs could significantly accelerate human synthesis work
C- Effective individual synthesis systems (seem to mostly) exist (for a select few)
C- Effective synthesis is necessary for innovation and scientific progress
C- Emoji reactions are a form of social tagging
C- End user programming enables people to bulk process notes
C- End-user programming enables the developers to be lazy about their backlog of feature requests
C- End-user scripting enables creative workarounds
C- Highlighted and lowlighted search results map to how well results map to intentions
C- Hypertext enables communication with high information density
C- Incremental formalization can mitigate risks of formalism in interactive systems
C- Incrementally processing notes is a key user behavior to promote synthesis
C- It is difficult to predict whether structure now will be worthwhile later
C- It will be important to capture the potential energy of information consumption
C- Linked references are a smart default for related items
C- Making editors identifiable incentivizes high quality reviews
C- Many products are simply specialized interfaces on top of Excel
C- Most people will primarily consume information
C- Most scholarly communication infrastructure operates on the document as the base unit
C- Multiplicity facilitates synthesis
C- Newsfeed management can enable users to express their preferences through a combination of revealed preferences and declared preferences
C- Newsfeeds are a poor intervention for distributing and discovering relevant information
C- People are lazy
C- People naturally try to enact typed distinctions in their notes
C- People need a way of promoting and demoting knowledge in a decentralized knowledge graph
C- People process complex information in multiple levels and stages of processing
C- Power users want to directly interface with the data structure of the app
C- Predicting trajectories of future reuse of information objects is hard
C- Programmable text interfaces are the future
C- Reviewing past notes in the process of creating new notes is a key user behavior to promote synthesis
C- Scholarly argumentation operates on atomic statements and concepts as fundamental units
C- Search terms express intentions
C- Search terms should have smart defaults so people don't have to always use semantic self-expression
C- Social tagging is a key user behavior to managing a decentralized knowledge graph
C- Specifying context for future reuse is costly
C- Specifying context for future reuse requires predicting trajectories of future reuse
C- Synthesis as a process is usefully modeled as a specialized form of sensemaking
C- Synthesis is hard to do with people who don’t share context with you
C- Synthesis is supported by Active Reading
C- Synthesis tools need to support incremental formalization
C- The responsibilities required to produce synthesis can be split up among many people
C- There is a trend of platforms that support user-generated content winning
C- There is a wealth of creative exhaust generated by researchers that is going to waste
C- There needs to be an excellent workflow for refactoring in a tool for thought
C- Thought processors struggle with multiplicity
C- User behavior within a well-designed choice architecture can be a signal of preferences
C- Wikum allows you to summarize groups of comments on a Hacker News style forum
Cambria
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CG-comment-7
CG-comment-8
CG-comment-9
Clarity
CleanShot 2022-05-17 at 18.51.18
CleanShot 2022-05-20 at 17.24.02
CleanShot 2022-05-20 at 17.24.26
CleanShot 2022-05-20 at 17.25.05
CleanShot 2022-05-20 at 17.25.36
CleanShot 2022-05-20 at 17.25.51
CleanShot 2022-05-20 at 17.26.18
CleanShot 2022-05-20 at 17.26.35
CleanShot 2022-05-21 at 15.40.02@2x
CleanShot 2022-05-21 at 15.43.59
CleanShot 2022-05-21 at 16.16.06@2x
CleanShot 2022-05-21 at 16.17.36@2x
CleanShot 2022-05-21 at 16.18.11@2x
CleanShot 2022-05-21 at 16.18.43@2x
CleanShot 2022-05-21 at 16.18.51@2x
CleanShot 2022-05-21 at 16.18.51@2x 1
CleanShot 2022-05-26 at 09.26.14@2x
CmdK-Superhuman
Codex OS
Cognitive Bias Codex
content addressable
conversations, chats with others
decentralized social evidence-based data model
Dendron
DEVONThink
Discourse Graph Plugin
DSL
Editing metadata
EDN
Elicit
end-user programming
Example of nested treesheets data structures within fluid sentences
expand-collapse-roam
Feedback for Chris Granger after we discussed Jump
Fig - Discourse graph example for effects of bans on online antisocial behavior
Fig - Learning Loop Complex
Fig - Notional Model of Sensemaking
Figma
File System Annotation Layer
flexible compression
functional programming
Gigjam
GUI
half-baked ideas not ready yet
Hode
Hypercard
Hypernote
Hypothesis
I- A DSL for a discourse graph with information entry, visualization, and retrieval
I don't want my tool to tell me how to think
I- Enable composable queries to facilitate structure in hindsight
I- Populate the related items section through a search term
I- Provide Push and Pull as inline syntax to affect the related items section for a page
I- Replace the backlinks section of a page with a related items section
I- Search as a primitive
I- Search terms as the basis for conditional formatting
I- Search terms as the basis for user-defined notifications
I- Search terms as the basis for user-defined subscriptions
I- searchable blobs as unnamed groups enable unnamed formalization
I- User-created consistent rules as a primitive
I- Workspaces as a primitive
icon
If I’m thinking too hard about structure before I write the note, I forget what I was going to write down
Images
incremental formalization
Ink and Switch
Interactive intent modeling search circle
Interfaces for adjusting a query
It takes too much work to create structure
Jump
Kanopi
Knovigator
Kosmik
Learning Loop Complex
LiquidText
Literate programming interface
LogSeq
Mermaid diagrams
Muse
My tooling gets in the way of working at the speed of thought
Napkin
Napkin - Main Screen
Napkin - Source Provenance
Napkin - Spatial Browsing + Islands
Napkin - Surfacing Related Concepts
Napkin - Swarms of ideas forming a collection
Napkin - Tag Focus with Related Ideas
Nextjournal
Notation3
Notational Velocity
Notion
Notion-Replit-Integration
Notional Model of Sensemaking
NVivo
Obsidian
Org-mode
Org-roam
P- Alexander Griekspoor
P- Allen Wilsonn
P- Andy Matuschak
P- Anne-Laure Le Cunff
P- Aosheng Ran
P- Brendan Langen
P- Brian James Rubinton
P- Chris Granger
P- Conor White-Sullivan
P- Craig Tashman
P- David Holz
P- Elzr
P- Filip Stanev
P- Flancian
P- Francis Miller
P- Geoffrey Litt
P- Gordon Brander
P- Iian Neill
P- Joel Chan
P- Kevin Lin
P- Maggie Appleton
P- Matt Goldenberg
P- Max Krieger
P- Maxim Leyzerovich
P- Oliver Sauter
P- Paul Rony
P- Rich Hickey
P- Richie Bonilla
P- Rob Haisfield
P- Ryan Murphy
P- Ryan Singer
P- Stian Håklev
P- Tiago Forte
P- Tom Critchlow
P- Tudor Girba
P- Vitalik Buterin
P- Yochai Benkler
P- Zachary Schneirov
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People don’t intentionally review old notes
Pollen
primitive design
private-note
Project Description
Project Figma Canvas
Project Mission and Impact
Project success metrics
Q- Can neural networks answer queries from natural language without a predefined schema
Q- Can the blockchain be used to improve citation chains
Q- Does sufficiently advanced natural language processing invalidate the need for a structured DSL
Q- How can people maintain a decentralized discourse graph with a high quantity of information in it
Q- How could a graph database structure be visualized and perceived by end users in a more helpful way than a large graph
Q- How do explorer communities attract a hacker community
Q- How do explorer communities grow around software tools
Q- How do people come to agree on queryable schemas
Q- How do we enable many users with their own idiosyncratic structure to converge in one discourse graph
Q- How do we increase the frequency of social review
Q- How do we increase the frequency of social tagging behaviors
Q- How do we solve the problem of different people referring to the same concept with different language
Q- How do you allow people to query nth degree and fuzzy connections without overwhelming the signal to noise ratio
Q- How do you avoid the problems cited in Metacrap
Q- How do you scale and distribute synthesis
Q- How is knowledge crystallized and disseminated in discussion oriented explorer communities
Q- How might we allow people to adapt their past system and notes to current needs
Q- How might we apply map filter reduce to notes and what other primitives are relevant to this domain
Q- How might we create a decentralized knowledge graph that people want to use
Q- How might we facilitate healthy social dynamics with hacker communities and typical end users
Q- How might we make it so it doesn't matter if user behavior is inconsistent
Q- How might we navigate the structure now or later tradeoffs
Q- Should social knowledge management be thought of as social networks with really solid defaults, conventions, and incentives
Q- What (existing) systems facilitate individual synthesis
Q- What are powerful interfaces for entering information into a discourse graph
Q- What are powerful primitives for a user of a decentralized knowledge graph
Q- What are the most efficient routes to useful cross-boundary knowledge
Q- What changes in a discourse graph as quantity of content increases
Q- What community roles are necessary in a decentralized knowledge graph
Q- What is a decentralized discourse graph
Q- What is a hypertext notebook
Q- What is an interface for going up and down the ladder of abstraction
Q- What is synthesis
Q- What is the data structure of a graph built to facilitate decentralized knowledge synthesis
Q- What is the role of AI in facilitating a decentralized discourse graph
Q- What synthesis behaviors must be done by an individual and what responsibilities can be distributed to many people
Q- What user behavior is required to grow a decentralized discourse graph
Q- What user behavior is required to maintain a decentralized knowledge graph
Q- What user behaviors are people doing already that imply structure that is not being instantiated into a literal structure
Q- What user behaviors are scholars doing already that specify structure for synthesis
Q- What workflows and behaviors facilitate synthesis
Q- Why do people prefer to structure later or not at all
quick capture
Quotebacks
R- A decade of theory as reflected in Psychological Science
R- A Multi-Language Computing Environment
R- A Short Introduction to the Underlay
R- A Troubleshooters Checklist for Prospective Authors
R- Accelerating Scientific Discovery by Lowering Barriers to User-Generated Synthesis of Scientific Literature
R- Achieving Both Creativity and Rationale
R- Ambiguity and Engagement
R- Are theoretical results Results
R- Beyond Boundary Objects
R- clojureD 2021- Command and Conquer- Learnings from Decades of Code Editing by Philippa Markovics
R- Cochrane and non-Cochrane systematic reviews
R- Collaborative information synthesis 1
R- Constraint relaxation and chunk decomposition in insight problem solving
R- Context Grabbing Assigning Metadata in Large Document Collections
R- Could a Neuroscientist Understand a Microprocessor
R- Darwin on man A psychological study of scientific creativity
R- Digital Futures Sociological Challenges and Opportunities in the Emergent Semantic Web
R- Discovering Higher Order Relationships from Multi Modal EHR Data
R- Distributed ontology building as practical work
R- Epistemology and the socio-cognitive perspective in information science
R- Excel never dies
R- Exploring the Relationship Between Personal and Public Annotations
R- Face Masks Against COVID-19
R- Formality Considered Harmful
R- From Proteins to Fairytales
R- G6 large clustered graph
R- Generating research questions through problematization
R- Genuine semantic publishing
R- Graphs in OpenCog's AtomSpace, Webstructor and Aigents for SingularityNET
R- Gui — Phooey
R- Hammock Driven Development
R- How to Find the Right Questions
R- Hypotheses Evidence and Relationships
R- In Defense of Ambiguity
R- Information and Context
R- Information Foraging Video
R- Innovation Relies on the Obscure
R- Institutional Ecology Translations and Boundary Objects
R- Interactive Intent Modeling for Exploratory Search
R- Investigating PhD thesis examination reports
R- Knowledge Synthesis- a conceptual model and practical guide
R- LiquidText A Flexible Multitouch Environment to Support Active Reading
R- Making the Implicit Explicit
R- Metacrap- Putting the torch to seven straw-men of the meta-utopia
R- Micropublications a semantic model
R- Neural Databases
R- Open Ideas
R- Organizational Memory as Objects Processes and Trajectories
R- Organizing knowledge with multi-level content
R- Prune Structural Editor
R- Reasons for the use and non‐use of electronic journals and databases
R- Replication Communication and the Population Dynamics of Scientific Discovery
R- Roam can loosely be considered a DSL with a structural editor
R- Scholars Before Researchers
R- ScholOnto an ontology-based digital library server for research documents and discourse
R- Sharing Knowledge and Expertise The CSCW View of Knowledge Management
R- Sorting Things Out Classification and Its Consequences
R- Student readers use of library documents
R- The anatomy of a nanopublication
R- The Cost Structure of Sensemaking
R- The minds eye in chess
R- The sensemaking process and leverage points for analyst technology
R- The SWAN biomedical discourse ontology
R- Theoretical musings
R- Theory Before the Test
R- Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking
R- Types of synthesis and their criteria
R- Using systematic reviews to inform NIHR HTA trial planning and design
R- Wealth of Networks
R- What is a Distributed Knowledge Graph
R- Where the semantic publishing rubber meets the scholarly practice road
R- Why Hypothesis Testers Should Spend Less Time Testing Hypotheses
R- You cannot play 20 questions with nature and win
README
Readwise
Research Grant Application
Roam Research
Saga
screenshot
Search Behavior
search-or-create
Semilattice
sensemaking
Sight Portal-1
smart default
Spaced repetition systems
Standoff Annotation
Start Here
structural editor
structure in hindsight
The common forms of structure people add to their notes
TheBrain
Theory and Practice@2x
Theory and Practice@2x 1
Twemex
Voiceliner
Waldo
wasted repeated effort
Wikum
work at the speed of thought
WorldBrain Memex
YAML Title Only
YAML Title with author
ZUI