Attendez! If a #Netnarr Fell in the Forest & No Network Heard It…



I was reading Daniel Bassill’s comment to my post about signal & noise and wondering why it had taken me so long to get back to it. I almost always attend to the business of reciprocating with folks who have honored me with their attention. I had not done so for Daniel F. Bassill . He has been kind, gentle and considerate in responding over the years to my posts. Sorry, Dan. I promise to do better.

I replied to his comment

Yes. The wheat from chaff problem. How do we decide what needs attending and what doesn’t? We need filters to do this initial pass at the noise. Questions are a way to do that. I teach my students that research questions are their only hope if they want to carry on in the face of the digital world. Other filters include personal interest or what used to be called curiosity. Passion might be another. Categories would be another of these filters. Creating filters is job one for anyone hoping to help others learn the knowledge biz. So, as much as we hate the dismissal, tl;dr is a legitimate filter. A more interesting observation, I think, is the one you make: the massive amounts of information flowing from the simplest of possibilia, a tweet or a blog post with links or… I would love to know the decision-making process behind your Facebook friend’s tl;dr. Was it a gut decision or a conscious and rational decision tree at work? How do we decide what to attend to and what not to attend to? Thanks for helping me come up with this intriguing question, Dan.

I have had a similar issue with #netnarr, the networked narrative MOOC sponsored by Alan Levine and Mia Zamora. I hit the ground running well before the course started then school began and I had to back off to attend to classes. I lost my way in an ever-rising tide of tweets about alchemy and daily do-this-and-do-that (#dtdt). And when I did try to play the game, to ante up with creative posts about identity and origin stories and psychological alchemy like this one. I got none fucks given. It was my own fault. I don’t even follow my own credo.

I needed to engage.

Did I engage? No, I pulled away. So,  I draw back in with my credo above in hand (or heart). I try again. I am Boxer in Animal Farm, filled with the surety that all I have to do is try harder for a different result. You can see how I am of two minds here: step away and let go or bear down and keep on.

Boxer (Animal Farm) – Created with Haiku Deck, presentation software that inspires

(Point of Information:  The embed above about Boxer was created using Wikipedia and Zuru, a HaikuDeck semi-bot for creating presentations.  Took five minutes to make.  1. Find Wikipedia page, 2. Import into Zuru, 3. Decide on a few piz to go along with preselected text, 4. Create deck. )

Playing with Google Explore

I am taking my first week of class for’s “Data Exploration and Storytelling”.  I ran across a great quote and wanted to ‘visualize’ it using SnagIt.  I saved it to Google Drive and then I remembered reading about the new, Google Explore (which must be another iteration of Google Research).

Here is an embed of all the discoveries I made and added using Google Explore. Here is the link if you want to go there.

It was fun.  I think this might  be a feature that sticks with Google Drive.   I can see how it might be a fun way to do #netnarr improv or #netprov.  Check out Howard Rhinegold’s interview with Mark Marino and Rob Wittig as they discuss it.

Mark Marino and Rob Wittig on Netprov from Connected Learning Alliance on Vimeo.

Or carry on another conversation here:

Hitchhiking Down the Data Story Telling Highway

Measure of American & DATA2GO: Data Story Telling on the Rise

(tl’dr: Telling a story about how we connect about telling stories.)

I recently enrolled in a course at the Knight Center’s, “Data Exploration and Storytelling ( January 16 – February 26, 2017 )”. Why? As a composition teacher and as a writer, I find myself in need of the tools that help my readers understand data beyond text. In other words I need to become a better data storyteller.

In the forum where we introduce ourselves to each other I met Vartika Sinha. She cited as her inspiration a YouTube video by Ben Wellington for TEDxBroadway, “ Making Data Mean More Through Storytelling”. I watched it and was inspired myself. I immediately shared it with someone I know who is constantly trying to tell stories with maps, Daniel Bassill, and his organization, the Tutor/Mentor Institute.

I shared this video using Vialogues because it is such a simple tool for connecting across the gaps. Here it is.

(This video annotation service is free. If you wish to comment, then sign up. It is amazing.)

While there is no set protocol for doing this video annotation, typically, the originator of the vialogue will do their annotation, others will do their annotation, and then there will be threaded conversation and replies. Of course, we broke the ‘rules’. I did about five minutes worth of annotation and then Dan did the whole video. We are still working our way toward replies to each other’s notes.

There was one reply from Dan I could not ignore. His last note pointed me to a post about DATA2GO.NYC, a data visualization tool created by Measure of America (MoA). The article, “Connecting the Dots Toward Well-Being”, fit perfectly into the course I spoke of at the beginning of this post so I took some time to use my old skool annotation tool, Diigo, to dig deeper, to summarize, and to make sense of and perhaps internalize some of MoA’s discoveries about data storytelling. Here is a link to a Hackpad with my notes.

One of the themes in all my writing is the idea of working out loud. I am a firm believer in observing, describing and reflecting upon this mostly unseen and unremarked upon rhizomatic mat of connection. This particular riff above fits an idea that has been circulating to the top of my mind lately—the lowly hitchhiker. I am not referring to the lost art of hitching a ride, but rather to the weed seeds they call ‘hitchhikers’ in my neck of the hollar.

Hitchhiking is an evolutionary adaption by seeds to become more widespread. Humans link them to invasive species because it is such an effective survival trick. We call them weeds, but really they are just survivors. The suggestions the Measure of America makes I believe are ones that are intended to make data more ‘hitchhiker-ly’.

Some data is naturally ‘sticky’, but mostly, it slides off of our attention and understanding, falling to the ground, failing; however, the emotion of ‘story’ helps it stick. The data is the meat of the seed. It is the reason for telling the story. It is the DNA of meaning that we need to spread. We make information sticky in several ways. We make them useful or interesting, but the best way seems to be by enclosing them in a sticky story.

I am looking forward to learning a lot about data storytelling in my course. You can join with us here. It’s free in some ways but I suspect it will become very sticky, very soon.

How to remove small burrs, hitchhikers or sticky weeds from clothing.

Short helpful video on removing small burrs or hitchhikers from clothing after a trail run or hiking instead of picking them out one by one.