How can we build upon implicit metadata for a frictionless user experience?

Research Grant Application

if you force people to only think in terms of structured nodes 00:32:55 and edges for example it sort of kills the thinking process

integrate that into the the document itself

you're looking for papers but really what you care about is what's in them the ideas the claims the arguments the theories the findings and the discourse relations between the 00:05:08 right support opposition replication lines of evidence lines of contradiction right these kinds of things

these indexing systems work with what they have the data 00:05:59 structure is what's at issue similarly um we have entire industry of system review tools and processes that are essentially dedicated to working against the underlying data structure they are sort of like we've got these 00:06:12 papers and we need to work our way around it so we have all these processes for screening for data extraction to get to the thing we actually care about and then we don't share anybody else and everybody has to start from scratch next time

theory is evidence problem solutions they're not first-class citizens

core conjecture of this line of work is that it's not just about the tools it's not just about our motivation it's about the infrastructure it's about the unit of analysis right why why does google scholar work

accelerating scientific discovery by lowering barriers to 00:00:42 user-generated synthesis of scientific literature which will include discussing how scholarly practices could be transformed

f feeding its slave to the trap data you have this sense that um of fighting against uh the infrastructure

synthesis is actually really hard

risk wasting our time on questions that are trivial impossible misframed one of my favorite phrases is you can't play 20 questions with nature and win

a recent nobel prize winner who credited some of her key inspirations to a masterful survey of the literature in a handbook chapter of economic developmental economics and 00:02:11 it really laid out some key problems in the field that she was able to sort of connect with her expertise and experimental methods

giving insight into here are some of the gaps here are where we should be going next um driving progress forward

key intuition is that you create a new innovative conceptual whole that's greater than the sum of the parts of things that you're integrating

so what i mean by synthesis it's probably an intuitive concept but some examples include theories models design spaces and very good systematic or literature reviews

goal is to remove various defective synthesis

update on what i talked about in the previous talk which was linked in the chat

Our proposition is grounded in a detailed analysis of themanner in which the socio-econo-political system has evolved into a powerful control mechanismthat subsumes human minds, steers their will and automates their thinking.

serving to augment the autonomy of the first from the‘programming’ imposed by the second.

hree kinds of cognitive system—the human mind, social systemsand the emerging synthetic intelligence

It will becomea distributed, synthetically intelligent agent in itself

mediate theexecution of contracts, transactions, public interventions and all other change-establishing eventsmore reliably and more synergistically than any other technology or institution

physical systems can be completely deterministic and yet still be inherently unpredictable

As a graduate student in Chihiro Hayashi's laboratory at Kyoto University, Yoshisuke Ueda was experimenting with analog computers and noticed, on November 27, 1961, what he called "randomly transitional phenomena". Yet his advisor did not agree with his conclusions at the time, and did not allow him to report his findings until 1970

Bret Victor - The Humane Representation of Thought

"You can’t play twenty questions with nature and win"

scientific progress may not even be tractable without adequatesynthesis (as theory), even with advanced methods and data

especially necessary for problems where it is difficult orimpossible to construct decisive experimental tests

Synthesis maybe supported by and manifested in a variety of forms, such as a theory, an effective systematic or inte-grative literature review, a causal model, a cogent research proposal or problem formulation, or model ofa design space, among others.

Effective synthesis generates new knowledge, integrating relevant theories, concepts, claims, andevidence into novel conceptual wholes [Strike and Posner, 1983, Blake and Pratt, 2006].

To advance science, scientists must synthesize what is currently known and unknown

WordNet # (n) bon mot a clever remark

Pseudonymous Credibility without public identity.

Hypothesis Community Guidelines