Discourse Modeling

Revision as of 01:10, 12 November 2022 by Jonny (talk | contribs)
Discourse Modeling
Description


Discord Channel [ ]
Facilitator
Members Kyle MacLaury, Sam Klein, Konrad Hinsen, Karola Kirsanow, Peter Murray-Rust


Potential Actions

Modules

There are other

  • Semantic MediaWiki
    • Front End
      • Embed CloudObjects from Wolfram Cloud
      • User chooses model and specifies input parameters
      • User applies model to input parameters
        • Call API that executes
    • rdf database
  • Wolfram Cloud
    • Use SPARQLExecute to call the SPARQL endpoint
    • Apply Model to query results
    • Publish visualizations as CloudObjects
    • Publish API that executes model/algorithm

Discord

joelchan86#discourse graphs22-11-10 15:55:39

we think the problem now is user-friendly tools and workfows that can create discourse graph structures, and have seen some exciting progress across a bunch of new user-facing "personal wikis". but bridging from personal to communal is still a challenge, partially bc of tooling.

this is why i'm excited about the Discourse Modeling idea, which i sort of understand as a way to try to instantiate something like Discourse Graphs into a wiki (bc wikis have a lot more in-built affordances for collaboration, such as edit histories, talk pages, etc.), which may hopefully lead to a lower barrier to entry for collaborative discourse graphing.

a high hope is that we can develop a process that is easy enough to understand and implement that can then be applied to discourse graphing the IPCC or similarly large body of research on a focused, contentious, interdisciplinary topic.

other examples include: - effects of masks on community transmission (can't do decisive RCTs, need to synthesize) - effects of social media on political (dys)function: (existing crowdsourced lit review here, in traditional narrative form: https://docs.google.com/document/d/1vVAtMCQnz8WVxtSNQev_e1cGmY9rnY96ecYuAj6C548/edit#)