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Fortnightly Links No.37

Hacking The Brain • Extracting • Sprints • Projects • Lost Knowledge

As you get ready for the holidays, if you are looking for reading material you’ll be served with this issue packed with more links then usual. Since it’s slightly off-topic I’ve put my favorite last but I’d encourage you to have a look as it goes from Antikythera to Cousteau, by way of the Memex.


How We Learn: A Reading List

How We Get To Next • 8 min read

When How We Get To Next got started on a series on learning, they began with a treasure throve of links and resources. The “Dive Deeper” section and the books are especially worth a look.

“If I may offer you a simple maxim, ‘Be interested.’ Everyone wants to be interesting, but the vitalizing thing is to be interested.”


Hacking The Brain

Misc • 4 min read and up

Regrouping a few links under this mini-theme; The Left Brain/Right Brain Divide is a Myth (I much prefer the original title, “Science, like art is the practice of imagination in a straightjacket.”), Brain Hacks for Supersonic Learning (some crazy ones in there but also some good), Want to Improve Your Memory? and finally Guide to Learning Anything Faster.


Adding, Embedding & Extracting

70:20:10 Institute • 4 min read

Contrasting three models to extend learning into the workplace. Finishes with narrating work and the military’s AAR (After Action Reviews).

The model of ‘learn then work’ is replaced here with ‘work then learn, then work in an improved way’. Learning is not only embedded in the workflow, but new learning is continually extracted from experiences and exchanges with colleagues, customers and the entire value chain.

++ Also from the Institute; Start with the 70. Plan for the 100



Topic Sprints

E-180 Mag • 5 min read

From our archives; a method to get from vaguely outlined topic to a full-fledged report or even a book in just a day or two.

[A] blended learning technique that’s part workshop, part collaborative writing exercise, part shared learning experience. Combined with a strong bias towards “shipping.”



Why Teachers, Parents, and Society at Large Have Destroyed Kids’ Love of Learning

The Atlantic • 4 min read

We grade and measure the love of learning out of our children. Important topics and habits to think on as a parent but also good for understanding some of what happened to us adults during school to better correct our own behaviours and attitudes towards challenges, new experiences and fear of failure.

She forgets that her best childhood experiences likely arose from the thrill of facing challenge, from the moments she lost herself in the trying and, when she failed, trying again to accomplish something all on her own, simply for the adventure and pleasure inherent in learning something new.


What are the benefits of project-based learning?

Training Zone • 5 min read

Project-based learning in business. How breaking down large projects into smaller ones, using in-company knowledge, networked / out of company knowledge and learning plans people can create value for the company and themselves as learners.

[A]s well as a project plan, he had a learning plan. This was underpinned by a set of criteria that specified which thinking and acting skills are needed for navigating complex work contexts. Through a portfolio of evidence, which included work documents, he demonstrated what he had learned from what he did and how he met the criteria.


Collaboration trumps competition in the craft beer world

Upstate Business Journal • 3 min read

Peer-learning, in this case also called coopetition as good practice, way forward and industry defence mechanism.

When more-established craft brewers share their knowledge with startups, it can help keep bad beer off the market, preserving the industry’s good name.


Searching for Lost Knowledge in the Age of Intelligent Machines

The Atlantic • 25 min read

Tuck this long one away for the holidays. A great read weaving the Antikythera Mechanism, Jacques Cousteau, Lost Knowledge, The Memex, libraries, museums, Google and algorithms. I mean really, what’s not to love?

What algorithms can help us do is process the whole information and delve into the knowledge to create something that is very similar to an inference, […] So when you are looking for something … thinking laterally—not just sequentially, but in a cross-disciplinary way—so you can connect things that are apparently unrelated. That is basically where we see the whole area of information processing going from now on.


Patrick Tanguay

Editor-in-Chief for E-180 Publications. Obsessively curious transdisciplinary thinker and learner. I help connect people and ideas.