How communication technologies shape our collective memory.
César A. Hidalgo is an assistant professor at the MIT Media Lab. Hidalgo’s work focuses on improving the understanding of systems by using and developing concepts of complexity, evolution, and network science; his goal is to help improve understanding of the evolution of prosperity in order to help develop industrial policies that can help countries raise the living standards of their citizens. His areas of application include economic development, systems biology, and social systems. Hidalgo is also a graphic-art enthusiast and has published and exhibited artwork that uses data collected originally for scientific purposes.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
The schedule runs as follows:
November 19, 2018: Preface, Introduction, and chapter 1, “A Networked Public”.
November 26: Chapters 2: “Censorship and Attention” and 3: “Leading the Leaderless”.
December 3: Chapters 4: “Movement Cultures” and 5: “Technology and People”.
December 10: Chapters 6: “Platforms and Algorithms” and 7: “Names and Connections”.
December 17: Chapters 8: “Signaling Power and Signaling to Power” and 9: “Governments Strike Back”.
December 24: Epilogue, “The Uncertain Climb.”
As I’m looking at this, folks who want a quick and brief background (or who need to be sold on the importance of the topic) may appreciate Frontline’s recent two part documentary which I recently watched . Tufekci appears and gives some excellent commentary in it. For additional overview/background, I’ll also recommend her three TED talks which I’ve watched in the recent past. I suspect they cover some of the details in this book.
What can we learn from the slimy, smelly side of life? In this playful talk, science journalist Anna Rothschild shows us the hidden wisdom of "gross stuff" and explains why avoiding the creepy underbelly of nature, medicine and technology closes us off to important sources of knowledge about our health and the world. "When we explore the gross side of life, we find insights that we never would have thought we'd find, and we even often reveal beauty that we didn't think was there," Rothschild says.
Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns -- and in ways we won't expect or be prepared for. "We cannot outsource our responsibilities to machines," she says. "We must hold on ever tighter to human values and human ethics."
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