Morning Coffee Reading – 3/19/16

Blogging became too time-consuming.  Formatting, linking, embedding, bad copy pasta that has to be fixed.  But I’ll try again, because my network continues to inspire me so much, I feel I should make the effort as they do.  Bless their hearts, what would I read in the morning if they got lazy like me?

And, I remain forever amazed at how wonderful tripping, linking, chasing, stumbling through others’ thoughts on the internets can be, and how sharing our thoughts can further other people’s trips in (hopefully) meaningful ways.

Here’s my latest trip to go with your morning coffee.

Badges and evidence, the “reputation economy”, and data used to make decisions

Sparked by insomniac reading of Stephen Downing (@oldaily) at 4AM earlier this week, I saw that he gave a keynote address on the AvaCon grid at the Virtual Worlds Best Practices in Education 2016 conference, wherein he speculates, “about the future of virtual worlds in learning when they are mixed with mobile devices and performance support systems.”

Scanning past Stephen’s blurb about the VWBPE keynote, somehow I came across Alan Levine’s (@cogdog) recent post “Seeking Evidence of Badge Evidence“, wherein he explores the usefulness of gamified badging systems if they don’t link to actual evidence that the badge was earned.  Metadata about the evidence isn’t the same as linking to the evidence itself, right?  Right.

This sparked a memory of an older post of mine, Twitter and the Reputation Economy in 2014, wherein I mused about how to measure “reputation” and suggested that Twitter Lists provide a non-obvious measure of something.  Alan subsequently pointed out that a Twitter list wordcloud may be an indicator,  but it is not a measure.  Good point.

My tweet about Alan’s post sparked D’Arcy Norman (@dlnorman) to point to Cory Doctorow’s (@doctorow) recent post about what a terrible currency reputation would be.

I agree that Whuffie would be a terrible currency, so be sure to read that @doctorow post, as well as “Wealth Inequality Is Even Worse in Reputation Economies“.

My tweet also sparked Alan to go down a deep, technically complicated but fascinating rabbit-hole of what my Twitter list wordcloud means, whether it’s useful, and how to generate one using docker, which I still don’t really understand.

But go read his post “Measurement or [indirect] Indicators of Reputation? A Twitter List / Docker / iPython Notebook Journey“.  It’s good stuff.

At the end of all that chain, I summed up my current take-aways about data used for decision-making on a comment to his post:

1) measurements and indicators are not the same thing, important point.

2) reliability is key, whether of a measure or indicator.

3) the use-case (type of decision you’re making) should drive the type of data used to make your measurement or indicator.

4) a measurement or indicator created for one use case may not transfer to a different use case.

Metaverse Vocabulary Words – Metaxis, Liminality, Stygmergy

Somewhere in checking out that tweet stream, I also came across Mark Childs’ (@markchilds) recent post exploring words that describe transitions, edges, limits, and perceptions of spaces, or places, or feelings of being present in a space or multiple spaces even.  

Just go read the post, “Metaxis and Liminality“.  

These concepts seem important for not just educators to understand, but also those of us working to create the Metaverse and places in virtual worlds.

My tweet about Mark’s post then sparked Leon Cych (@eyebeams) to share that they had local drama students acting out roles in Minecraft:


..the video of which relates to Midas’ golden touch played out in Minecraft, and that perfectly captures and visualizes the idea of stygmergya word I came to know and love through Sarah Robbins (@intellagirl) years ago when she was exploing using virtual worlds for teaching.  See her “Using a Faceted Classification Scheme to Predict the Future of Virtual Worlds”.  (I should link to her dissertation, but I can’t find a good link.)

Machine Learning, AI, and Science Fiction

After clicking through all that, I went back to Leon’s Twitter page to make sure I was following him (I am), and saw that he referenced the above tweet and forwarded Mark Child’s post on to Martin Robinson (@surrealanarchy), who apparently has changed his main Twitter account to @trivium21c (I followed that account, too).


I then ended up reading Martin Robinson’s tweet about machine learning and “When AI rules the world: what SF novels tell us about our future overlords.”


There are several books mentioned in there that I surely must read, now.  I might come back and list them, but I might not, so read the article and see for yourself which books you also need to read.

David Foster Wallace, which never gets old.

And in that AI & SF article, there was a link to a David Foster Wallace quote, which takes you to his “This is Water” commencement speech, posted, of all places, in the Wall Street Journal.

The perfect, beautiful hilarity of reading that speech on the WSJ website was so awesome, I thought, this is where I end my trip today.

Enjoy your morning coffee.

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