Myhrvold Left Work with Hawking for the Excitement of Entrepreneurship

(p. 139) Microsoft was represented ¡n the discussion by its senior vice president for advanced technology, a thirty-five-year-old Nathan Myhrvold. After finishing his Ph.D. at Princeton at age twenty-three, Myhrvold had worked for a year as a postdoctoral fellow with the physicist Stephen Hawking at Cambridge, tackling theories of (p. 140) gravitation and curved space-time, before taking a three-month leave of absence to help some friends in the Bay Area with a software project. He became caught up in the excitement of personal computer software and entrepreneurship and never went back. In Berkeley, he co-founded a company called Dynamical Systems to develop operating system for personal computers, which struggled for two years until Microsoft bought it in 1986. At Microsoft, he persuaded Bill Gates to let him establish a corporate research center, Microsoft Research, with Myhrvold himself in charge.

Source:
Price, David A. The Pixar Touch: The Making of a Company. New York: Alfred A. Knopf, 2008.
(Note: italics in original.)
(Note: my strong impression is that the pagination is the same for the 2008 hardback and the 2009 paperback editions, except for part of the epilogue, which is revised and expanded in the paperback. I believe the passage above has the same page number in both editions.)

Most Articles in Top Two Economics Journals Receive Zero Citations in First Five Years

Journal quality is often used, or suggested, as a proxy for the quality of articles. It is a very poor proxy.
Economist Robert H. Frank writes that:

(p. 3) The economist Philip Cook and I found, . . . , that in the first five years after publication, many fewer than half of all papers in the two most selective economics journals had ever been cited by other scholars.

For the full commentary, see:

ROBERT H. FRANK. “ECONOMIC VIEW; The Prestige Chase Is Raising College Costs.” The New York Times, SundayBusiness Section (Sun., March 11, 2012): 3.

(Note: ellipsis added.)
(Note: the online version of the commentary is dated March 10, 2012.)

I assume, but have not verified, that the above finding is reported in:
Frank, Robert, and Philip J. Cook. The Winner-Take-All Society: Why the Few at the Top Get So Much More Than the Rest of Us. New York: The Free Press, 1995.

Faraday and Einstein Were Visual and Physical Thinkers, Not Mathematicians

Faraday_Chemical_History-of-a-CandleBK2012-03-08.jpg

Source of book image: http://www.rsc.org/images/Faraday_Chemical_History-of-a-Candle_180_tcm18-210390.jpg

(p. C6) Michael Faraday is one of the most beguiling and lovable figures in the history of science. Though he could not understand a single equation, he deduced the essential structure of the laws of electromagnetism through visualization and physical intuition. (James Clerk Maxwell would later give them mathematical form.) Albert Einstein kept a picture of Faraday over his desk, for Einstein also thought of himself primarily as a visual and physical thinker, not an abstract mathematician.
. . .
Faraday’s text is still charming and rich, a judgment that few popular works on science could sustain after so many years. Though he addresses himself to an “auditory of juveniles,” he calls for his audience to follow a close chain of reasoning presented through a series of experiments and deductions.
. . .
. . . : “In every one of us there is a living process of combustion going on very similar to that of a candle,” as Faraday illustrates in his experiments.
In his closing, he turns from our metabolic resemblance to a candle to his deeper wish that “you may, like it, shine as lights to those about you.”

For the full review, see:
PETER PESIC. “BOOKSHELF; Keeper of the Flame.” The Wall Street Journal (Sat., January 7, 2012): C6.
(Note: ellipses added.)

Book under review:
Faraday, Michael. The Chemical History of a Candle. Oxford, UK: Oxford University Press 2011.

In History, Documenting Your Sources Matters More than Your Credentials

DysonGeorge2012-03-09.jpg

George Dyson. Source of photo: online version of the NYT interview quoted and cited below.

(p. D11) BELLINGHAM, Wash. — More than most of us, the science historian George Dyson spends his days thinking about technologies, old and very new.
. . .
Though this 58-year-old author’s works are centered on technology, they often have an autobiographical subtext. Freeman Dyson, the physicist and mathematician who was a protagonist of Project Orion, is his father. Esther Dyson, the Internet philosopher and high-tech investor, is his sister. We spoke for three hours at his cottage here, and later by telephone. A condensed and edited version of the conversations follows.
. . .
. . . today you make your living as a historian of science and technology. How does a high school dropout get to do that?
Hey, this is America. You can do what you want! I love this idea that someone who didn’t finish high school can write books that get taken seriously. History is one of the only fields where contributions by amateurs are taken seriously, providing you follow the rules and document your sources. In history, it’s what you write, not what your credentials are.

For the full interview, see:
CLAUDIA DREIFUS, interviewer. “Looking Backward to Put New Technologies in Focus.” The New York Times (Tues., December 6, 2011): D11.
(Note: question bolded in original; ellipses added.)
(Note: the online version of the interview is dated December 5, 2011.)

Dyson’s most recent book is:
Dyson, George. Turing’s Cathedral: The Origins of the Digital Universe. New York: Pantheon Books, 2012.

Majority of Marine Creatures Thrive in Greater Acidity

(p. C4) The effect of acidification, according to J.E.N. Veron, an Australian coral scientist, will be “nothing less than catastrophic…. What were once thriving coral gardens that supported the greatest biodiversity of the marine realm will become red-black bacterial slime, and they will stay that way.”
This is a common view. The Natural Resources Defense Council has called ocean acidification “the scariest environmental problem you’ve never heard of.” Sigourney Weaver, who narrated a film about the issue, said that “the scientists are freaked out.” The head of the National Oceanic and Atmospheric Administration calls it global warming’s “equally evil twin.”
. . .
If the average pH of the ocean drops to 7.8 from 8.1 by 2100 as predicted, it will still be well above seven, the neutral point where alkalinity becomes acidity.
. . .
In a recent experiment in the Mediterranean, reported in Nature Climate Change, corals and mollusks were transplanted to lower pH sites, where they proved “able to calcify and grow at even faster than normal rates when exposed to the high [carbon-dioxide] levels projected for the next 300 years.” In any case, freshwater mussels thrive in Scottish rivers, where the pH is as low as five.
Laboratory experiments find that more marine creatures thrive than suffer when carbon dioxide lowers the pH level to 7.8. This is because the carbon dioxide dissolves mainly as bicarbonate, which many calcifiers use as raw material for carbonate.

For the full commentary, see:
MATT RIDLEY. “MIND & MATTER; Taking Fears of Acid Oceans With a Grain of Salt.” The Wall Street Journal (Sat., January 7, 2012): C4.
(Note: ellipsis in first paragraph in original; ellipses between paragraphs added.)

Amateurs Can Advance Science

(p. C4) The more specialized and sophisticated scientific research becomes, the farther it recedes from everyday experience. The clergymen-amateurs who made 19th-century scientific breakthroughs are a distant memory. Or are they? Paradoxically, in an increasing variety of fields, computers are coming to the rescue of the amateur, through crowd-sourced science.
Last month, computer gamers working from home redesigned an enzyme. Last year, a gene-testing company used its customers to find mutations that increase or decrease the risk of Parkinson’s disease. Astronomers are drawing amateurs into searching for galaxies and signs of extraterrestrial intelligence. The modern equivalent of the Victorian scientific vicar is an ordinary person who volunteers his or her time to solving a small piece of a big scientific puzzle.
Crowd-sourced science is not a recent invention. In the U.S., tens of thousands of people record the number and species of birds that they see during the Christmas season, a practice that dates back more than a century. What’s new is having amateurs contribute in highly technical areas.

For the full commentary, see:
MATT RIDLEY. “MIND & MATTER; Following the Crowd to Citizen Science.” The Wall Street Journal (Sat., FEBRUARY 11, 2012): C4.

Big Data Opportunity for Economics and Business

(p. 7) Data is not only becoming more available but also more understandable to computers. Most of the Big Data surge is data in the wild — unruly stuff like words, images and video on the Web and those streams of sensor data. It is called unstructured data and is not typically grist for traditional databases.
But the computer tools for gleaning knowledge and insights from the Internet era’s vast trove of unstructured data are fast gaining ground. At the forefront are the rapidly advancing techniques of artificial intelligence like natural-language processing, pattern recognition and machine learning.
Those artificial-intelligence technologies can be applied in many fields. For example, Google’s search and ad business and its experimental robot cars, which have navigated thousands of miles of California roads, both use a bundle of artificial-intelligence tricks. Both are daunting Big Data challenges, parsing vast quantities of data and making decisions instantaneously.
. . .
To grasp the potential impact of Big Data, look to the microscope, says Erik Brynjolfsson, an economist at Massachusetts Institute of Technology’s Sloan School of Management. The microscope, invented four centuries ago, allowed people to see and measure things as never before — at the cellular level. It was a revolution in measurement.
Data measurement, Professor Brynjolfsson explains, is the modern equivalent of the microscope. Google searches, Facebook posts and Twitter messages, for example, make it possible to measure behavior and sentiment in fine detail and as it happens.
In business, economics and other fields, Professor Brynjolfsson says, decisions will increasingly be based on data and analysis rather than on experience and intuition. “We can start being a lot more scientific,” he observes.
. . .
Research by Professor Brynjolfsson and two other colleagues, published last year, suggests that data-guided management is spreading across corporate America and starting to pay off. They studied 179 large companies and found that those adopting “data-driven decision making” achieved productivity gains that were 5 percent to 6 percent higher than other factors could explain.
The predictive power of Big Data is being explored — and shows promise — in fields like public health, economic development and economic forecasting. Researchers have found a spike in Google search requests for terms like “flu symptoms” and “flu treatments” a couple of weeks before there is an increase in flu patients coming to hospital emergency rooms in a region (and emergency room reports usually lag behind visits by two weeks or so).
. . .
In economic forecasting, research has shown that trends in increasing or decreasing volumes of housing-related search queries in Google are a more accurate predictor of house sales in the next quarter than the forecasts of real estate economists. The Federal Reserve, among others, has taken notice. In July, the National Bureau of Economic Research is holding a workshop on “Opportunities in Big Data” and its implications for the economics profession.

For the full story, see:

STEVE LOHR. “NEWS ANALYSIS; The Age of Big Data.” The New York Times, SundayReview (Sun., February 12, 2012): 1 & 7.

(Note: ellipses added.)
(Note: the online version of the article is dated February 11, 2012.)

Stem Cell Therapy for Dry Macular Degeneration

SchwartzStevenRetinaSpecialist2012-01-30.jpg

“Dr. Steven Schwartz, a retina specialist at the University of California, Los Angeles, conducted the trial with two patients.” Source of caption and photo: online version of the NYT article quoted and cited below.

(p. B7) LOS ANGELES — A treatment for eye diseases that is derived from human embryonic stem cells might have improved the vision of two patients, bolstering the beleaguered field, researchers reported Monday.
The report, published online in the medical journal The Lancet, is the first to describe the effect on patients of a therapy involving human embryonic stem cells.
. . ..
Both patients, who were legally blind, said in interviews that they had gains in eyesight that were meaningful for them. One said she could see colors better and was able to thread a needle and sew on a button for the first time in years. The other said she was able to navigate a shopping mall by herself.
. . .
. . . , researchers at Advanced Cell Technology turned embryonic stem cells into retinal pigment epithelial cells. Deterioration of these retinal cells can lead to damage to the macula, the central part of the retina, and to loss of the straight-ahead vision necessary to recognize faces, watch television or read.
Some 50,000 of the cells were implanted last July under the retinas in one eye of each woman in operations that took about 30 minutes.
One woman, Sue Freeman, who is in her 70s, suffered from the dry form of age-related macular degeneration, a leading cause of severe vision loss in the elderly.

For the full story, see:
ANDREW POLLACK. “Stem Cell Treatment for Eye Diseases Shows Promise.” The New York Times (Thurs., January 26, 2012): B7.
(Note: ellipses added.)
(Note: the online version of the article was dated January 25, 2012.)

FreemanSueVisionImproved2012-01-30.jpg

“Sue Freeman said her vision improved in a meaningful way after the treatment, which used embryonic stem cells.” Source of caption and photo: online version of the NYT article quoted and cited above.

“Just What Ailments Are Pylos Tablets Supposed to Alleviate?”

LinearBscript2012-01-14.jpg

“Professor Bennett’s work opened a window to deciphering tablets written in Linear B, a Bronze Age Aegean script.” Source of caption and photo: online version of the NYT obituary quoted and cited below.

(p. 22) Deciphering an ancient script is like cracking a secret code from the past, and the unraveling of Linear B is widely considered one of the most challenging archaeological decipherments of all time, if not the most challenging.
. . .
Linear B recorded the administrative workings of Mycenaean palatial centers on Crete and the Greek mainland 3,000 years ago: accounts of crops harvested, flocks tended, goods manufactured (including furniture, chariots and perfume), preparations for religious feasts and preparations for war.
It was deciphered at last in 1952, not by a scholar but by an obsessed amateur, a young English architect named Michael Ventris. The decipherment made him world famous before his death in an automobile accident in 1956.
As Mr. Ventris had acknowledged, he was deeply guided by Professor Bennett’s work, which helped impose much-needed order on the roiling mass of strange, ancient symbols.
In his seminal monograph “The Pylos Tablets” (1951), Professor Bennett published the first definitive list of the signs of Linear B. Compiling such a list is the essential first step in deciphering any unknown script, and it is no mean feat.
. . .
“We know how much Ventris admired Bennett, because he immediately adopted Bennett’s sign list of Linear B for his own work before the decipherment,” said Mr. Robinson, whose book “The Man Who Deciphered Linear B” (2002) is a biography of Mr. Ventris. “He openly said, ‘This is a wonderful piece of work.’ ”
. . .
As meticulous as Professor Bennett’s work was, it once engendered great confusion. In 1951, after he sent Mr. Ventris a copy of his monograph, a grateful Ventris went to the post office to pick it up. As Mr. Robinson’s biography recounts, a suspicious official, eyeing the package, asked him: “I see the contents are listed as Pylos Tablets. Now, just what ailments are pylos tablets supposed to alleviate?”

For the full obituary, see:
MARGALIT FOX. “Emmett L. Bennett Jr., Ancient Script Expert, Dies at 93.” The New York Times, First Section (Sun., January 1, 2012,): 22.
(Note: ellipses added.)
(Note: the online version of the obituary is dated December 31, 2011, and has the title: “Emmett L. Bennett Jr., Expert on Ancient Script, Dies at 93.”)

The book on the amateur, uncredentialed Ventris is:
Robinson, Andrew. The Man Who Deciphered Linear B: The Story of Michael Ventris. London, UK: Thames & Hudson, 2002.

BennettEmmettJr2012-01-14.jpg

“Emmett L. Bennett Jr.” Source of caption and photo: online version of the NYT obituary quoted and cited above.

When a Graph Is a Matter of Life and Death

(p. 72) In her authoritative book The Challenger Launch Decision, sociologist Diane Vaughan demolishes the myth that NASA managers ignored unassailable data and launched a mission absolutely known to be unsafe. In fact, the conversations on the evening before launch reflected the confusion and shifting views of the participants. At one point, a NASA manager blurted, “My God, Thiokol, when do you want me to launch, next April?” But at another point on the same evening, NASA managers expressed reservations about the launch; a lead NASA engineer pleaded with his people not to let him make a mistake and stated, “I will not agree to launch against the contractor’s recommendation.” The deliberations lasted for nearly three hours. If the data had been clear, would they have needed a three-hour discussion? Data analyst extraordinaire Edward Tufte shows in his book Visual Explanations that if the engineers had plotted the data points in a compelling graphic, they might have seen a clear trend line: every launch below 66 degrees showed evidence of (p. 73) O-ring damage. But no one laid out the data in a clear and convincing visual manner, and the trend toward increased danger in colder temperatures remained obscured throughout the late-night teleconference debate. Summing up, the O-Ring Task Force chair noted, “We just didn’t have enough conclusive data to convince anyone.”

Source:
Collins, Jim. How the Mighty Fall: And Why Some Companies Never Give In. New York: HarperCollins Publishers, Inc., 2009.
(Note: italics in original.)