Iap21

• A [[workshop]].
• [[by]] [[underlay]].
• [[go]] https://knowledgestructure.pubpub.org/iap21
  • [[meta]] https://anagora.org/go/iap21 pull redirects to the above URL due to the presence of this 'go' block.
• [[slides]] https://docs.google.com/presentation/d/1EFCzr6Wrur_QgRjB6ibCuJXHauYMGl_2oLrF0nEVEyM/edit#slide=id.p pull
  • [[meta]] https://anagora.org/go/iap21/slides pull and https://anagora.org/go/slides/iap21 pull both redirect to the above URL due to the presence of this 'slides' block in a note called 'iap21'.
• [[agenda]] https://knowledgestructure.pubpub.org/pub/agenda-21

[[2021-01-25]]

• [[quote]] [[exploration]]: structuring [[collective knowledge]] (developing a case study).
• [[metasj]] kicks off
  • A follow on to an experiment that happened previously on-campus.
  • [[goal]] by the [[end of this week]], we should be able to describe what a satisfying collective experiment could be. Also, we'll have [[cross-pollinated]].
• [[introductions]]
  • [[metasj]]
  • [[agnes cameron]] works with [[metasj]], part of knowledge collaboration innovation data. In [[uk]].
  • [[samir ghosh]] runs a [[maker space]]. Does [[vr]].
  • [[sarah s]] [[neuroscience]] and [[machine learning]]. [[crowdsourcing]] to probe [[human perception]].
  • [[amr kayid]] [[munich]] [[research engineer]] at [[open mind]]. [[reinforcement learning]].
  • [[thomas renkert]] [[religious studies]] [[knowledge representation]].
  • [[kevin]] (pending)
  • [[favour kelvin]]
• [[recap]] of approaches to collective knowledge
  • [[metasj]] how much of the audience's work is about collaborative/collective effort?
    • [[samir ghosh]] used a mega [[google doc]]
    • [[metasj]] how fluid is the membership?
    • [[samir ghosh]] there's a core group of people, but the [[collective]] is nebulous.
    • [[metasj]] there's a tradeoff there.
• [[metasj]] presents slides (see above).
  • [[knowledge futures group]]
    • [[pubpub]]
  • [[goal]]
    • choose a problem that is bigger than what you could solve yourself :)
    • we can take inspiration from [[biology]]; organisms offer lots of patterns that are useful in aggregate
    • [[city construction]]
  • [[classes of models]]
    • you're probably within ~10km of a weather sensor part of a global network, all maintained by [[volunteers]].
    • [[alignment]] vs [[standardization]]
    • [[access]] vs [[catalysis]]
    • [[private service]] vs [[common good]]
      • [[ancestry.com]] vs [[iceland]] (?)
    • [[feedback loops]]
    • [[incentives]] vs [[shared vision]]
  • [[examples]] from [[biology]] and [[earth]] science
    • [[inaturalist]] (!)
    • [[geograph]] (!)
      • had to come up with a local map projection not to change base assumptions they made early on :)
    • [[open street map]]
    • [[ebird]]
      • [[agnes cameron]] is a fan. Comments section is great :)
  • [[examples]] from the group
    • [[flancian]] on the [[agora]]
    • [[thomas renkert]] in some countries, people are assembling lists of people that died due to [[coronavirus]]
      • [[[nytimes]] did a story on the first 10k people that died.
    • [[sarah s]] on [[imagenet]]
      • [[collective]] in more than one way:
        • corpus based on [[human annotation]]
        • also building off and on several existing efforts, like [[wordnet]]
      • related problem: updating datasets, contexts.
      • uses of [[latent space]]
    • [[agnes cameron]] on [[arena]]
      • [[push]] [[arena]]
        • https://www.are.na/agnes-cameron/what-s-are-na
        • organized in [[channels]]
          • can be [[open]] and [[closed]]
        • [[open source]]
• [[inception]] practice
  • plus challenge for [[wednesday]]
  • think about [[units of collaboration]] / [[units of work]]
  • who are the [[audiences]]?
• other interesting references
  • [[protocols.io]]
  • [[shader toy]]
  • [[shader park]]
  • [[repl.it]]
  • [[cyberfeminist index]]
  • [[quotebacks]]
  • [[how to make almost anything]]
  • [[free universal construction kit]]
  • [[movebank]]
  • [[wikidata subsetting]]
  • [[corpse2corpse]]
  • [[place subreddit]]

[[2021-01-27]]

• [[quote]] [[inception]]: knitting the lacework - [[connecting sources]], [[queries, and outputs]]
  • Working with [[public knowledge graphs]], building new [[visualizations]] + [[overlays]]
• [[agnes cameron]] presented an example of [[underlay, interlay, overlay]] reasoning in the field of [[food sustainability]].
• [[blake elias]] [[ai research]] [[covid response]]
  • is [[health]] vs [[economics]] a [[zero sum game]]?
  • [[analysis]]: you can optimize for two things
    • having the fewest covid cases
    • optimize for economics
  • it turns out that in simulation runs the two don't look that different.
    • A Poisson distribution:
    • future cases = random[(current cases) * (reproductive number) + (imported cases)]
  • aside: [[epidemic forecasting]]
  • aside: [[worry dream]]
  • aside: [[covid tracker]]
  • [[samir ghosh]] (feedback)
  • summary is: 'flattening' at a certain constant level (e.g. 100 cases/day) does not work as well as locking down hard and getting to zero (albeit temporarily)
  • [[agnes cameron]] [[imperial college tracker]]
  • [[pandemic game]]
• [[samir ghosh]] on [[force directed graphs]]
  • https://bl.ocks.org/vasturiano/02affe306ce445e423f992faeea13521
  • https://editor.p5js.org/generative-design/sketches/M_6_1_03o
  • http://yifanhu.net/GALLERY/GRAPHS/index.html
  • http://act.mit.edu/cavs/
  • https://www.ideaflow.io/
  • https://graphcommons.com/
    • https://www.youtube.com/watch?v=aNLmt7q-W2s
    • https://www.youtube.com/watch?v=5pdvWszMaLM
    • https://www.youtube.com/watch?v=2ZRCc-6tRZo
  • https://graphcommons.com/graphs/a936d1c7-2b52-47ba-bc21-79a2631149d0/selection/47f0218d-e5b1-9ea7-f748-dfa7e7810071
  • https://www.youtube.com/watch?v=5pdvWszMaLM
  • see [[tuesday]] agenda for more examples
• [[favour kelvin]] on [[animal tracking]]
  • https://ebird.org/about/resources/finding-birds-with-ebird
  • https://www.systemanaturae.org/projects/

[[2021-01-29]]

• [[push]] [[underlay]]
• [[push]] [[interlay]]
• [[push]] [[overlay]]
• [[push]] [[invite]] to [[interlay]]
  • BigQuery
  • PatCit
  • Historians
  • How things work / [[xkcd]] / [[tim urban]]
• [[push]] [[2021-01-30]]
  • [[meet]] [[metasj]]
    • [[fediverse]]
    • [[pubpub]] and [[agora]]
• [[wikipedia]]
  • [[push]] [[flanbridge]]
    • Possible [[root nodes]].
      • A [[root node]] in a subgraph is a good node from which with to optimally encode the surrounding space.
      • [[meaning of life]]
      • [[list of lists of articles]]
      • [[wikipedia articles have many rankings]]