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Education Reading Vietnam War

Roosevelt to Hirohito December 6 1941

Classified memorandum from Roosevelt to Hirohito December 6 1941
Roosevelt Hirohito December 6, 1941
Roosevelt Hirohito December 6, 1941

Source:
United States – Vietnam Relations, 1945–1967: A Study Prepared by the Department of Defense
AKA The Pentagon Papers
Volume V-B1: The Roosevelt Administration 1940-1945 – Page 27 (pdf link)

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Cloud Cyberinfrastructure Design Education Globalization Google Innovation OpenSource Reading Technology

Need, Speed, and Greed Preview

Just started reading Need, Speed, and Greed: How the New Rules of Innovation Can Transform Businesses, Propel Nations to Greatness, and Tame the World’s Most Wicked Problems.
Need, Speed, and Greed: How the New Rules of Innovation Can Transform Businesses, Propel Nations to Greatness, and Tame the World's Most Wicked ProblemsMust say its another refreshing look at how we must innovate in today’s global world. Written by Vajay Vaitheeswaran of The Economist, it is providing so far excellent lessons for any company, non-profit, innovation center or educational organization.

Addressing global health and education is just the beginning. Need, Speed, and Greed is laying out how companies must adjust (via lessons from IBM, Google and P&G) or watch the world run you over and out of business.

The one thing Need, Speed, and Greed is making very clear: we are now able to collaborate in a global view with advanced technologies and new open business thinking to solve complex problems around the globe.

This is shaping up to be the kind of book every school kid in America should be reading.

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Design Education Innovation Network Reading Technology

Latest read: Too Big to Know

Too Big to Know: Rethinking Knowledge Now That the Facts Aren’t the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room by David Weinberger is an amazing look at how vast amounts of knowledge in our digital world has changed our ability to not only comprehend data, but how data and the internet rewire how our brain’s process information.
Too Big to KnowIn a way this book is about networks of knowledge stored in databases and in people. So what happens to all the knowledge and expertise we now confront? Outside of it being somewhat accessible on the net, the large amounts of data are forcing us to reimagine data infrastructure.

This is pushing development of large “big data” solutions that will have the ability to process and dashboard results that are more easily “digestable” for larger and larger groups of people across the spectrum.

Weinberger confirms that there is so much data, information & knowledge today for the first time in our collective history that no single person can process it all. And that is not always a good thing. He stated “We see all too clearly how impotent facts are in the face of firmly held beliefs. We have access to more facts than ever before, so we can see more convincingly than ever before that facts are not doing the job we hired them for.”

And at the same time accounting for human nature – access to more data will only reinforce the worse as illustrated by Cass Sunstein: “Studies have shown that when people speak only with those with whom they agree, they not only become more convinced of their own views, they tend to adopt more extreme versions of those views.” And now you know the rest of the story.

Too Big to Know reveals in chapter eight how we are managed today. In the past we learned about Jack Welch of GE. He was the final, top decision maker. But today with wikis, blogs and mobile technology GE’s strategic plans are made from the bottom up: “The CEO of General Electric could be entirely off the grid, but still GE’s engineers, product managers, and marketing folks are out on the Net, exploring and trying out the ideas that affect their branch of the larger decision tree.” This is the ‘wikipedia’ approach. This is also something Weinberger acknowledges in Don Tapscott’s work Wikinomics.

Finally, I could not agree more with Weinberger’s example (Chapter five) regarding a marketplace of echoes. He describes the impact of David Halberstam‘s award winning book The Best and the Brightest. (my review here) Halberstam attempted to explain how the Kennedy White House, full of highly educated, dedicated men (McGeorge Bundy, George Ball, Chester Bowles, Robert McNamara) could have failed so badly in Vietnam. Their efforts are now very distant, recalled most often as an analogy to our country’s worst mistake. But Halberstam’s question remains deeply unsettling: How did the best and the brightest get us into the ‘hell’ of Vietnam? If these men, so well educated and worldly, erred so badly, how can we trust the advice of lesser men?

No better lesson on diversity than our failure in Vietnam. This is a very good book.

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Education Google Innovation Network Reading Technology

Latest read: The Signal and the Noise

The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t by Nate Silver is another great book that completely absorbed my attention. This book offers in sights to many audiences. From weather forecasts, the Wall Street financial crisis in 2007, playing poker to even understanding and identifying signal relationships regarding the attacks on Pearl Harbor and New York on 9/11.
The Signal and the NoiseThe Signal and the Noise offers readers Silver’s insights on Bayesian thinking. Actually the book applies Bayesian in all the books lessons.

He nudges us to remember this when applying predictions in our own professions. Actually Nate’s study of predictions affects just about everything we do in life.

The strongest lesson for me is about understanding data-driven models can lead to tragic outcomes. He warns us about noisy data and Big Data that can set off false readings with horrific consequences. This alone makes this book a pretty important read.

Silver’s chapter on baseball and references to Michael Lewis‘s bestseller

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Education Innovation Reading Technology

Reading Nate Silver’s The Signal and the Noise

Wow just started reading The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t and see it carries the strong reputation as a though provoking book about prediction.
The Signal and the NoiseHe continues to look at data including out of sample data to provide greater context to long held assumptions to credit default swaps that strangled Wall Street and the housing bubble.

Even in defining why the US depression following the wall street collapse was worse than projected, his appeal of Too Big To Fail proves he has a good foundation from Andrew Ross Sorkin’s great book.

The second chapter of The Signal and the Noise focuses on pro baseball. Its another look at America’s game from a geek’s perspective. He acknowledges the impact of Moneyball by Michael Lewis. Lewis is a respected writer for all things wall street and metrics.

Now lets see how risk takers in Higher Education can improve a campus by understanding and absorbing these lessons….just pushing into chapter three.