🎧 Episode 085 How Networks Learn An Interview with Cesar Hidalgo | Human Current

Listened to Episode 085 How Networks Learn An Interview with Cesar Hidalgo by Haley Campbell-GrossHaley Campbell-Gross from HumanCurrent

In this episode, Haley talks with physicist, complexity scientist, and MIT professor, Cesar Hidalgo. Hidalgo discusses his interest in the physics of networks and complex system science and shares why he believes these fields are so important. He talks about his book, Why Information Grows: The Evolution of Order, from Atoms to Economies, which takes a scientific look at global economic complexity. Hidalgo also shares how economic development is linked to making networks more knowledgeable.

Cesar Hidalgo

Quotes from this episode:

“Thinking about complexity is important because people have a tendency to jump into micro explanations for macro phenomenon.” — Cesar Hidalgo

“I think complex systems give you not only some practical tools to think about the world, but also some sort of humbleness because you have to understand that your knowledge and understanding of how the systems work is always very limited and that humbleness gives you a different attitude and perspective and gives you some peace.” — Cesar Hidalgo

“The way that we think about entropy in physics and information theory come from different traditions and sometimes that causes a little bit of confusion, but at the end of the day it’s the number of different ways in which you can arrange something.” — Cesar Hidalgo

“To learn more complex activities you need more social reinforcement.” — Cesar Hidalgo

“When we lead groups we have to be clear about the goals and the main goal to keep in mind is that of learning.” — Cesar Hidalgo

“Everybody fails, but not everyone learns from their failures.” — Cesar Hidalgo

“Learning is not just something that is interesting to study, it is actually a goal.” — Cesar Hidalgo

A solid interview here with Cesar Hidalgo. His book has been incredibly influential on my thoughts for the past two years, so I obviously highly recommend it. He’s got a great description of entropy here. I was most surprised by his conversation about loneliness, but I have a gut feeling that’s he’s really caught onto something with his thesis.

I also appreciated about some of how he expanded on learning in the last portion of the interview. Definitely worth revisiting.

Published by

Chris Aldrich

I'm a biomedical and electrical engineer with interests in information theory, complexity, evolution, genetics, signal processing, IndieWeb, theoretical mathematics, and big history. I'm also a talent manager-producer-publisher in the entertainment industry with expertise in representation, distribution, finance, production, content delivery, and new media.

One thought on “🎧 Episode 085 How Networks Learn An Interview with Cesar Hidalgo | Human Current”

  1. Bookmarked The influence of collaboration networks on programming language acquisition by Sanjay Guruprasad (Massachusetts Institute of Technology)

    Many behaviors spread through social contact. However, different behaviors seem to require different degrees of social reinforcement to spread within a network. Some behaviors spread via simple contagion, where a single contact with an “activated node” is sufficient for transmission, while others require complex contagion, with reinforcement from multiple nodes to adopt the behavior. But why do some behaviors require more social reinforcement to spread than others? Here we hypothesize that learning more difficult behaviors requires more social reinforcement. We test this hypothesis by analyzing the programming language adoption of hundreds of thousands of programmers on the social coding platform Github. We show that adopting more difficult programming languages requires more reinforcement from the collaboration network. This research sheds light on the role of collaboration networks in programming language acquisition.
    [Downloadable .pdf]

    Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.; Cataloged from PDF version of thesis.; Includes bibliographical references (pages 26-28).
    Advisor: César Hidalgo.
    URI: http://hdl.handle.net/1721.1/119085

    I ran across this paper via the Human Current interview with Cesar Hidalgo. In general they studied GitHub as a learning community and the social support of people’s friends on the platform as they worked on learning new programming languages.
    I think there might be some interesting takeaways for people looking at collective learning and online pedagogies as well as for communities like the IndieWeb which are trying to not only build new technologies, but help to get them into others’ hands by teaching and disseminating some generally tough technical knowledge. (In this respect, the referenced Human Current podcast episode may be a worthwhile overview.)

    Syndicated copies to:

    Syndicated copies:

Mentions

Leave a Reply

Your email address will not be published. Required fields are marked *

To respond to a post on this site using your own website, create your post making sure to include the (target) URL/permalink for my post in your response. Then enter the URL/permalink of your response in the (source) box and click the 'Ping me' button. Your response will appear (possibly after moderation) on my page. Want to update or remove your response? Update or delete your post and re-enter your post's URL again. (Learn More)