Sharing cool papers with others use to require multiple steps of searching and exporting. Now I can share APA-like cite + URL in one copy-paste w/o leaving @RoamResearch, thanks to custom Zotero export (h/t @cortexfutura for initial script)! #roamcult It's the little things.. :)
Signal-boosting a correction (since it got buried in the reply structure): this is not a custom CSL, it's an export translator. Important for navigating documentation and help!
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: github.com/sig-cm/JCDL-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
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:
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
2: there may be some cross-reactive (t-cell?) protection from related coronaviruses, possibly the common cold 3/n
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.
When you hear that a pandemic virus is mutating, you feel ___ about its impact on humanity
i'm curious bc i see lots of discussions of mutations by virologists on twitter, but i don't see any "more afraid" responses. i could be very wrong, but from what i can tell from virology 101, it's not uncommon for viruses mutate towards being less fatal (to optimize for spread).
This is a good opportunity for subject matter experts (virologists, epidemiologists, public health policy experts) to team up with #AI and #NLP researchers to figure out the best (not necessarily coolest/flashiest) ways to accelerate synthesis and research.
Partnership is crucial: too easy for computational researchers to miss crucial context, and super important to get a crisp sense of the most pressing information needs and pain points for scientists doing the research.