Love this metaphor!

A quick 🧵 to illustrate how much compression and expressivity we can pack into a @RoamResearch block to power synthesis.

cc #roamcult
Let's consider the following block (what I call an "observation note" from my conceptual/process model for synthesis:…) Image
The block has context from "below" via 1) a context snippet snapshot of the Table of results, indented under the note, and also hyperlinked into it, 2) methods details that live as blocks (which are themselves contextualized by context snippets via indentation and hyperlinking). Image
This rich contextualizing information is available on-hover, as well as by clicking to unindent and reveal an indented block
Clicking through to a hyperlinked methods observation note also opens up a similar set of rich access to contextual information, through hyperlinking and indentation Image
Importantly, the block/graph data structure also means that other contextual details from the same paper are accessible (and in principle queryable and computable for context queries for synthesis) through their common parent (the paper page).
First, the screenshot shows how every block in the indentation "path" (every item between `>` symbols) is formally connected to the `observation note` in the underlying graph. Image
But every other child of the shared parent page is also formally connected to the focal `observation note`, so details like the procedure, experiment design, or metadata (e.g.,,authors, year) are closely accessible and also in principle queryable/computable. Image
Since every element is linkable, we can also explore details about the authors (via linked references of the author page) to help contextualize the focal `observation note`: e.g., "where does this author tend to publish? What disciplinary angles might they be coming from?" Image
The focal `observation note` also has rich "discourse context" from "above" and "beside", through referencing in other pages or blocks.
For instance, clicking on the `2` button on the right reveals two references to the focal `observation note`: 1) discussion of this result in a question note, and 2) reference in a "sibling" `observation note` that qualifies the focal result in an important way. Image
Seeing the focal `observation note` in its larger referenced/discourse context helps reveal also how having direct access to contextualizing information through hyperlinking can facilitate synthesis across `observation notes`. Image
For example, might there be variations in effects by institution/prestige, such as resources that needs to be taken into account for face-to-face conversations to bear fruit? These details are just a hover or click away in context of the larger synthesis. Image
I've never been able to create such information objects like this for synthesis.

I'm super excited to see the value that will continue to accrue from these notes. All powered by rich affordances for compression, which make these notes so much more alive!
I've found it hard to imagine how these rich layers of compression could be implemented in page-centric data structures (vs. a combo block/page-centric db).

I'm curious if others who use more page-centric networked notebooks like Obsidian are able to do similar things?

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More from @JoelChan86

28 Dec 20
So excited to begin to share this system for knowledge synthesis I've been developing (in conversation w/ affordances of @RoamResearch, my own pain points as a researcher, and the scientific literature on tools for thought)!

A 🧵for context 👇
The motivation for this system is to empower as many people as possible to do effective knowledge synthesis
Synthesis --- such as an effective theory or model, a systematic review, or critical review of existing knowledge to identify the most important knowledge gaps - is a crucial engine of scientific progress

My favorite source for this is Strike and Posner
Read 25 tweets
12 Nov 20
Lifehack with @RoamResearch +

Declare tab bankruptcy (use tabcopy to copy all the URLs to Roam and CLOSE THE TABS), but add SRS so they resurface periodically. Then chip away at it, slowly whittling down the list as you connect them to your idea graph. Image
Advantages of this over leaving tabs open:
* Contextualized in time (bc of spot in daily notes time stream)
* Can control its draw on my attention
* Can incrementally formalize
* I'm not staring at 100000000000 tabs
Some more details on the workflow: 1/N
Read 8 tweets
25 Sep 20
I am *very* excited about the potential for augmented collective intelligence as @RoamResearch begins to roll out multiplayer and API. I think balancing context and privacy is going to be one of the most important challenges to solve to realize this potential. A 🧵on why/how 1/N
There is an immense amount of value in personal knowledge graphs, whether they are represented in a latent way as a linear notebook, or (as is increasingly the case) as personal wikis or [[networked notebooks]]
Personal knowledge graphs used to be a niche domain of Hackers, but, with the rise of tools like @RoamResearch and @TiddlyWiki , is slowly but surely making its way through the rest of the knowledge worker userbases. Some details on this here:…
Read 25 tweets
27 Aug 20
This whole exchange produced immensely valuable pedagogical exchanges that will probably be useful to others for years/decades to come! Thinking crazy thoughts now about borderless classrooms / MOOCs / learning communities 1/n
Whoops, did bad Twitter threading. Resuming thread here: 2/n
Importantly, the q came in an unexpected "package" (in terms of demographic and form), a beautiful thing in terms of diversifying how qs can be asked and by whom: 3/n
Read 7 tweets
17 Jul 20
Excellent summary by @Dereklowe in @ScienceMagazine with some positive news about immunity to #COVID19 - from what I can tell, two things to note: 1/n
1: antibodies may fade quickly (within ~few months to a few years), but T-cells might stick around way longer and still provide some meaningful protection. 2/n Image
2: there may be some cross-reactive (t-cell?) protection from related coronaviruses, possibly the common cold 3/n Image
Read 4 tweets
8 Jun 20
This is a wonderful contribution to the scientific community! Effective network/citation-based tools for exploring the literature are absolutely vital, particularly in domains (like interdisciplinary areas) that are still growing and not yet well-structured/paradigmatic.
The system leverages network-based similarity (co-citation, co-reference) instead of raw citations, and uses these metrics to yield a much more maneageble and explorable set of "leads" for each seed paper.
I should add that it builds on the open dataset provided by @SemanticScholar, who also have been adding very useful tools for exploring the citation graph through "meaningful citations" and exploring where the citation was made.
Read 6 tweets

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