---
tags: Garden Crew, Knowledge Casting
---
# Knowledge Casting
Knowledge Casting (or "casting" for short) is a core workflow that can be used across many knowledge domains from creative industries to capture group work using collaborative writing, podcasting,video conferencing and knowledge workflows that result in the publishing of linear podcast forms and aritcle (blog posts) within an hyperlinked multimedia knowledge archive or garden.
## Unit of publication
KnowledgeCsting results in a characteristic output or unit of publising that we could call a "cast", "koan" or "pod". These names remain in flux and are subtly different from each other, but for now we can consider them as equivalent in that they point to the same form of media.
A [Cast](/C_CpMhi5Svu67ZsH9my6tQ) is a [Quine](/sVSmHm1SQW-qkWLekG6vRw) or static HTML5 document. It is structured as a linear "peer reviewed" article, which combines elements of a podcast, and a form on semantic graph that we are calling a a [Context Graph](/FUBEzJVUQeu50LbwsUORkA) (and implemmenting under the name [Brainlet](/cuI4p3dwQ_Gre728_d_rYA)) that connects the article to other articles and a knowleedge commons or curated set of wiki articles.
Knowledge casting is not just about "what" is published - but also how - how it "cast" or released over time, and how it is consumed. In the section below on "Workflow" we explore the temporal cycle of publishing that we call "casting", but if you wish to dive in more detail into "what" is cast, we can break this down into:
1. [[Peer Reviewed Article]]
2. [[Podcast Abstracts]]
3. [[Context Graph]]
4. [[ Fluid Knowledge Context]]
5. [Wiki Notes](http://outlandish.academy/view/academy-methodology/view/agile-learning-cycle/view/learning-garden/view/learning-timebank/future.fedwiki.org/knowledge-commons/david.outlandish.academy/limun/future.fedwiki.org/conference-happenings)
## Workflow
in whih at various stages publishing of elements or artifacts happen
## Reception Workflow
Knowledge casting is not only about a particular form of publishing, it als involves the following a distinctive pattern of cyclical events. For instance when you watch a TV series the audience may expect a new episode each week on a certain day.
This "reception workkflow" is important not simply with regard to marketing, but importanly because it enables the development of new forms of culture around participation and engagement.
1. Provocation: preperation of slides / lightning talk
2. Live panel discusssion / lightening talk
3. Automated and augmented post production
4. Invitation to research group
5. Asynchronous branching groupwork
6. Chunking, citations, hyperlinking and knowledge graphing
7. Publishing of podcast and contextualised commons
These reception elements that can be approached from many directions. It is not necessary to start at the beginning. As a participant you may first encounter a cast as a live panel discussion as part of a conference, or as a podcast in a weekly or monthly feed, of as a citation in a news article or academic paper.
In addition there are new ways you might be asked to get involved. As they are "new" in the sence of the business model and incentives involved, they feel controversial. It is therefore important how this is handled morally. This "equates" in a marketing context to the branding of the media. As an example lets consider the following scenario:
> A colleague of yours asks for your "input" or "help". They are seeking your review on this new platform. Thhey have written an "article", and are hoping to get positive reviews so that the article might be considered for a forthcoming conference or public event. Perhaps they are entering it into an [Idea Competition](/97_Q_X41TJKXrrzz7ocrGg).
>
> You are intitially cautious, but because you are invited not simply to give a reference, but rather you are being asked to join a [Research Group](/xIfcEXnvTbSdhDdYuvQflQ) - your concerns shift to the amount of committment you are being asked to invest. But you are intrigued, and your colleague invites you to a Zoom to discuss the idea (perhaps with other members of the research group).
## Publishing Workflow
All these elements combined are what we call a "workshop" or podcasting cycle. This period classically lasts 6 weeks..
- For each of 4 weeks we schedula a topic and a guest speaker / expert
- Experts on tap: we use learning time bank mechanism
- Knowledge commons => contextual garden commons
## Bid context
- tone
- deip