Listened to History of the English Language, 2nd Edition, Lecture 6: The Beginnings of English by Seth LererSeth Lerer from The Great Courses

Delve into the linguistic relationships of Old English to its earlier German matrix. Look at key vocabulary terms—many of which are still in our own language—to trace patterns of migration, social contact, and intellectual change. Also, learn how Old English was written down and how it can help us reconstruct the worldview of the Anglo-Saxon peoples.

cover of The History of the English Language by Seth Lerer

Listened to Mindscape 72 | César Hidalgo on Information in Societies, Economies, and the Universe by Sean CarrollSean Carroll from preposterousuniverse.com

Maxwell’s Demon is a famous thought experiment in which a mischievous imp uses knowledge of the velocities of gas molecules in a box to decrease the entropy of the gas, which could then be used to do useful work such as pushing a piston. This is a classic example of converting information (what the gas molecules are doing) into work. But of course that kind of phenomenon is much more widespread — it happens any time a company or organization hires someone in order to take advantage of their know-how. César Hidalgo has become an expert in this relationship between information and work, both at the level of physics and how it bubbles up into economies and societies. Looking at the world through the lens of information brings new insights into how we learn things, how economies are structured, and how novel uses of data will transform how we live.

César Hidalgo received his Ph.D. in physics from the University of Notre Dame. He currently holds an ANITI Chair at the University of Toulouse, an Honorary Professorship at the University of Manchester, and a Visiting Professorship at Harvard’s School of Engineering and Applied Sciences. From 2010 to 2019, he led MIT’s Collective Learning group. He is the author of Why Information Grows and co-author of The Atlas of Economic Complexity. He is a co-founder of Datawheel, a data visualization company whose products include the Observatory of Economic Complexity.

Mindscape cover art

It was interesting to hear Cesar Hidalgo use the concept of “big history” a few times in this episode. I’m not 100% sure he meant it in the David Christian sense of the words, but it at least felt right.

I was also piqued at the mention of Lynne Kelly’s work, which I’m now knee deep into. I suspect it could dramatically expand on what we think of as the capacity of a personbyte, though the limit of knowledge there still exists. The idea of mnemotechniques within indigenous cultures certainly expands on the way knowledge worked in prehistory and what we classically think of and frame collective knowledge or collective learning.

I also think there are some interesting connections with Dr. Kelly’s mentions of social equity in prehistorical cultures and the work that Hidalgo mentions in the middle of the episode.

There are a small handful of references I’ll want to delve into after hearing this, though it may take time to pull them up unless they’re linked in the show notes.

 

hat-tip: Complexity Digest for the reminder that this is in my podcatcher. 🔖 November 22, 2019 at 03:28PM

Read Aotearoaconf 2017 — AKA Christine and Casey got married. by Christine Corbett Moran (Medium)
Two years ago — to this day — my now-husband Casey Handmer and I started dating. This month we got married in a conference celebration!
I was randomly surfing around and ran across this reference of a wedding that was also an unconference. It reminded me of Ton Zijlstra and his unconferencing birthdays. I suppose it could be extended to other life events and celebrations. Who wants to unconference Christmas?
Read Caltech astrophysics and harassment: Lessons learned by Casey Handmer (caseyhandmer.wordpress.com)
In the wake of major catastrophes, it is common practice for organizations to publish a “Lessons Learned” report to help prevent future occurrences. The largest public catastrophe in which I’ve ever been involved occurred in the Caltech astrophysics department between 2010 and 2019. Former Caltech professor and internationally disgraced astrophysicist Christian Ott harmed, harassed, and abused numerous students, postdocs, and research fellows. Despite thousands of hours of investigation, no public “findings” or “lessons learned” report has ever been made available. This document is my attempt to fill this need.
Some solid coverage and recommendations here. Sadly because of institutional inequalities there is almost zero chance that any of the recommendations will be picked up. Good job though Casey.
Read Hypothesis Releases Gradebook Integration for Blackboard, Moodle, D2L & More by Jeremy Dean (web.hypothes.is/blog/)

The Hypothesis Logo, circled by logos for Blackboard Learn, D2L Brightspace, Instructure Canvas, Moodle, Sakai, & Schoology.

Last December, we released the Hypothesis LMS app, a tool that enables you to integrate collaborative web annotation for course readings in any LMS with single sign-on and automatic private annotation groups for each class. In August, we announced the Hypothesis app’s first LMS gradebook integration for Instructure Canvas. We are now pleased to announce gradebook integration for any LMS that supports IMS Learning Tools Interoperability (LTI), including not only Canvas, but also Blackboard, D2L Brightspace, Moodle, Sakai, and Schoology.

Read How to Compose an Annotation-based Tweet by Jon Udell|

Annotation is one way to remix the web, Twitter is another. The two approaches can play nicely together but, to make best use of the combination, it helps to understand what happens when you tweet a Hypothesis direct link.

Annotation example featuring Chris Aldrich

Oh, look Jon uses an annotation I made as an example in his post!
Read The Evolving Exhibition of Us: A Decade of Sharing Pictures Online : Adjacent Issue 6 by Summer Bedard (itp.nyu.edu)
A deep examination and self-reflection on photo sharing of the last decade, Summer Bedard’s article looks at how the previously intimate, cumbersome experience has morphed into the edited, contrived perfection found on Instagram.

The explosion of people, marked a shift from having a community to having an audience. This ultimately changed the mental model of what gets posted. People act differently in their living room than they do on stage. They may feel more vulnerable and guarded. You’re sharing with a community, but working for an audience.

–November 28, 2019 at 09:42PM

I would love to see a future where enjoying photos becomes more like enjoying music. Spotify gives you an easy way to consider options by assessing your mood and putting together an appropriate playlist that feels personal. We could do the same for images. Can you imagine opening Spotify and having it blast a random song immediately? Our current Instagram home screen is the visual equivalent of a playlist mashup of country, classical, techno, hip hop, and polka. 

I like the idea of this. Can someone build it please?
–November 28, 2019 at 09:46PM

What if you could use AI to control the content in your feed? Dialing up or down whatever is most useful to you. If I’m on a budget, maybe I don’t want to see photos of friends on extravagant vacations. Or, if I’m trying to pay more attention to my health, encourage me with lots of salads and exercise photos. If I recently broke up with somebody, happy couple photos probably aren’t going to help in the healing process. Why can’t I have control over it all, without having to unfollow anyone. Or, opening endless accounts to separate feeds by topic. And if I want to risk seeing everything, or spend a week replacing my usual feed with images from a different culture, country, or belief system, couldn’t I do that, too? 

Some great blue sky ideas here.
–November 28, 2019 at 09:48PM

Read Thread by @ehanford: "Thread: There was a session today at , the annual conference of @ncte, called "Misreading the Science of Reading." I want to share so […]" #NCTE19 #ELAchat #ilachat by Emily HanfordEmily Hanford (threadreaderapp.com)
Thread: There was a session today at #​NCTE19, the annual conference of @ncte, called "Misreading the Science of Reading." I want to share some thoughts, and some reading material, to add to the conversation. #​elachat #​ilachat 1/x I've been an education reporter for a decade+. A few yrs ago, I knew nothing abt the "science of reading." But in the past 3 yrs, I've read thousands of pages of books, articles, research papers. 2/x I've interviewed hundreds of researchers, teachers, school leaders, tutors, parents, students and struggling readers. I've visited 9 states. And I've been shocked to learn that: 3/x
A tweetstorm that could be a meta-paper on the topic of reading and literacy.

hat tip:

Read Ed-Tech Agitprop by Audrey WattersAudrey Watters (Hack Education)

agitprop poster

This talk was delivered at OEB 2019 in Berlin. Or part of it was. I only had 20 minutes to speak, and what I wrote here is a bit more than what I could fit in that time-slot.

I've been thinking a lot lately about this storytelling that we speakers do -- it's part of what I call the "ed-tech imaginary." This includes the stories we invent to explain the necessity of technology, the promises of technology; the stories we use to describe how we got here and where we are headed. And despite all the talk about our being "data-driven," about the rigors of "learning sciences" and the like, much of the ed-tech imaginary is quite fanciful. Wizard of Oz pay-no-attention-to-the-man-behind-the-curtain kinds of stuff.

An important message pointing out that many (particularly corporations) are operating on fear and not facts within the EdTech spaces. Some simple fact-checking will verify that vos veritas liberabit.

I’ve been working on a thesis lately relating to some simple ideas with relation to memory that make me think we should be looking backwards instead of forward. Part of the trouble is that as a society we’ve long forgotten some of the basic knowledge even indigenous peoples had/have, but somehow there’s more benefit and value in the information imbalance to some that we no longer have or use some of these teaching and knowledge techniques. We definitely need to bring them back.

Agitprop is a portmanteau — a combination of “agitation” and “propaganda,” the shortened name of the Soviet Department for Agitation and Propaganda which was responsible for explaining communist ideology and convincing the people to support the party. This agitprop took a number of forms — posters, press, radio, film, social networks — all in the service of spreading the message of the revolution, in the service of shaping public beliefs, in the service of directing the country towards a particular future.

Might be fun to mix up some agitprop art for various modern things. Perhaps for social media so as to frame IndieWeb as the good?

Although agitprop is often associated with the Soviet control and dissemination of information, there emerged in the 1920s a strong tradition of agitprop art and theatre — not just in the USSR. One of its best known proponents was my favorite playwright, Bertolt Brecht. Once upon a time, before I turned my attention to education technology, I was working on a PhD in Comparative Literature that drew on Brecht’s Verfremdungseffekt, on the Russian Formalists’ concept of ostranenie — “defamiliarization.” Take the familiar and make it unfamiliar. A radical act or so these artists and activists believed that would destabilize what has become naturalized, normalized, taken for some deep “truth.” Something to shake us out of our complacency.

Now, none of these stories is indisputably true. At best — at best — they are unverifiable. We do not know what the future holds; we can build predictive models, sure, but that’s not what these are. Rather, these stories get told to steer the future in a certain direction, to steer dollars in a certain direction. (Alan Kay once said “the best way to predict the future is to build it,” but I think, more accurately, “the best way to predict the future is to issue a press release,” “the best way to predict the future is to invent statistics in your keynote.”) These stories might “work” for some people. They can be dropped into a narrative to heighten the urgency that institutions simply must adapt to a changing world — agitation propaganda.
Many of these stories contain numbers, and that makes them appear as though they’re based on research, on data. But these numbers are often cited without any sources. There’s often no indication of where the data might have come from. These are numerical fantasies about the future.
Another word: “robots are coming for your jobs” is one side of the coin; “immigrants are coming for your jobs” is the other. That is, it is the same coin. It’s a coin often used to marshall fear and hatred, to make us feel insecure and threatened. It’s the coin used in a sleight of hand to distract us from the profit-driven practices of capitalism. It’s a coin used to divide us so we cannot solve our pressing global problems for all of us, together.