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domingo, 17 de noviembre de 2013

How a Radical New Teaching Method Could Unleash a Generation of Geniuses

These students in Matamoros, Mexico, didn’t have reliable Internet access, steady electricity, or much hope—until a radical new teaching method unlocked their potential. Peter Yang
These students in Matamoros, Mexico, didn’t have reliable Internet access, steady electricity, or much hope—until a radical new teaching method unlocked their potential.  

José Urbina López Primary School sits next to a dump just across the US border in Mexico. The school serves residents of Matamoros, a dusty, sunbaked city of 489,000 that is a flash point in the war on drugs. There are regular shoot-outs, and it’s not uncommon for locals to find bodies scattered in the street in the morning. To get to the school, students walk along a white dirt road that parallels a fetid canal. On a recent morning there was a 1940s-era tractor, a decaying boat in a ditch, and a herd of goats nibbling gray strands of grass. A cinder-block barrier separates the school from a wasteland—the far end of which is a mound of trash that grew so big, it was finally closed down. On most days, a rotten smell drifts through the cement-walled classrooms. Some people here call the school un lugar de castigo—”a place of punishment.”

For 12-year-old yy, it was a bright spot. More than 25 years ago, her family moved to the border from central Mexico in search of a better life. Instead, they got stuck living beside the dump. Her father spent all day scavenging for scrap, digging for pieces of aluminum, glass, and plastic in the muck. Recently, he had developed nosebleeds, but he didn’t want Paloma to worry. She was his little angel—the youngest of eight children.

After school, Paloma would come home and sit with her father in the main room of their cement-and-wood home. Her father was a weather-beaten, gaunt man who always wore a cowboy hat. Paloma would recite the day’s lessons for him in her crisp uniform—gray polo, blue-and-white skirt—and try to cheer him up. She had long black hair, a high forehead, and a thoughtful, measured way of talking. School had never been challenging for her. She sat in rows with the other students while teachers told the kids what they needed to know. It wasn’t hard to repeat it back, and she got good grades without thinking too much. As she headed into fifth grade, she assumed she was in for more of the same—lectures, memorization, and busy work.

Sergio Juárez Correa was used to teaching that kind of class. For five years, he had stood in front of students and worked his way through the government-mandated curriculum. It was mind-numbingly boring for him and the students, and he’d come to the conclusion that it was a waste of time. Test scores were poor, and even the students who did well weren’t truly engaged. Something had to change.

He too had grown up beside a garbage dump in Matamoros, and he had become a teacher to help kids learn enough to make something more of their lives. So in 2011—when Paloma entered his class—Juárez Correa decided to start experimenting. He began reading books and searching for ideas online. Soon he stumbled on a video describing the work of Sugata Mitra, a professor of educational technology at Newcastle University in the UK. In the late 1990s and throughout the 2000s, Mitra conducted experiments in which he gave children in India access to computers. Without any instruction, they were able to teach themselves a surprising variety of things, from DNA replication to English.

Elementary school teacher Sergio Juárez Correa, 31, upended his teaching methods, revealing extraordinary abilities in his 12-year-old student Paloma Noyola Bueno.
Juárez Correa didn’t know it yet, but he had happened on an emerging educational philosophy, one that applies the logic of the digital age to the classroom. That logic is inexorable: Access to a world of infinite information has changed how we communicate, process information, and think. Decentralized systems have proven to be more productive and agile than rigid, top-down ones. Innovation, creativity, and independent thinking are increasingly crucial to the global economy.

And yet the dominant model of public education is still fundamentally rooted in the industrial revolution that spawned it, when workplaces valued punctuality, regularity, attention, and silence above all else. (In 1899, William T. Harris, the US commissioner of education, celebrated the fact that US schools had developed the “appearance of a machine,” one that teaches the student “to behave in an orderly manner, to stay in his own place, and not get in the way of others.”) We don’t openly profess those values nowadays, but our educational system—which routinely tests kids on their ability to recall information and demonstrate mastery of a narrow set of skills—doubles down on the view that students are material to be processed, programmed, and quality-tested. School administrators prepare curriculum standards and “pacing guides” that tell teachers what to teach each day. Legions of managers supervise everything that happens in the classroom; in 2010 only 50 percent of public school staff members in the US were teachers.

The results speak for themselves: Hundreds of thousands of kids drop out of public high school every year. Of those who do graduate from high school, almost a third are “not prepared academically for first-year college courses,” according to a 2013 report from the testing service ACT. The World Economic Forum ranks the US just 49th out of 148 developed and developing nations in quality of math and science instruction. “The fundamental basis of the system is fatally flawed,” says Linda Darling-Hammond, a professor of education at Stanford and founding director of the National Commission on Teaching and America’s Future. “In 1970 the top three skills required by the Fortune 500 were the three Rs: reading, writing, and arithmetic. In 1999 the top three skills in demand were teamwork, problem-solving, and interpersonal skills. We need schools that are developing these skills.

That’s why a new breed of educators, inspired by everything from the Internet to evolutionary psychology, neuroscience, and AI, are inventing radical new ways for children to learn, grow, and thrive. To them, knowledge isn’t a commodity that’s delivered from teacher to student but something that emerges from the students’ own curiosity-fueled exploration. Teachers provide prompts, not answers, and then they step aside so students can teach themselves and one another. They are creating ways for children to discover their passion—and uncovering a generation of geniuses in the process.

At home in Matamoros, Juárez Correa found himself utterly absorbed by these ideas. And the more he learned, the more excited he became. On August 21, 2011—the start of the school year — he walked into his classroom and pulled the battered wooden desks into small groups. When Paloma and the other students filed in, they looked confused. Juárez Correa invited them to take a seat and then sat down with them.

He started by telling them that there were kids in other parts of the world who could memorize pi to hundreds of decimal points. They could write symphonies and build robots and airplanes. Most people wouldn’t think that the students at José Urbina López could do those kinds of things. Kids just across the border in Brownsville, Texas, had laptops, high-speed Internet, and tutoring, while in Matamoros the students had intermittent electricity, few computers, limited Internet, and sometimes not enough to eat.

But you do have one thing that makes you the equal of any kid in the world,” Juárez Correa said. “Potential.

He looked around the room. “And from now on,” he told them, “we’re going to use that potential to make you the best students in the world.

Paloma was silent, waiting to be told what to do. She didn’t realize that over the next nine months, her experience of school would be rewritten, tapping into an array of educational innovations from around the world and vaulting her and some of her classmates to the top of the math and language rankings in Mexico.

So,” Juárez Correa said, “what do you want to learn?

In 1999, Sugata Mitra was chief scientist at a company in New Delhi that trains software developers. His office was on the edge of a slum, and on a hunch one day, he decided to put a computer into a nook in a wall separating his building from the slum. He was curious to see what the kids would do, particularly if he said nothing. He simply powered the computer on and watched from a distance. To his surprise, the children quickly figured out how to use the machine.

Over the years, Mitra got more ambitious. For a study published in 2010, he loaded a computer with molecular biology materials and set it up in Kalikuppam, a village in southern India. He selected a small group of 10- to 14-year-olds and told them there was some interesting stuff on the computer, and might they take a look? Then he applied his new pedagogical method: He said no more and left.

Over the next 75 days, the children worked out how to use the computer and began to learn. When Mitra returned, he administered a written test on molecular biology. The kids answered about one of four questions correctly. After another 75 days, with the encouragement of a friendly local, they were getting every other question right. If you put a computer in front of children and remove all other adult restrictions, they will self-organize around it, Mitra says, “like bees around a flower.

A charismatic and convincing proselytizer, Mitra has become a darling in the tech world. In early 2013 he won a $1 million grant from TED, the global ideas conference, to pursue his work. He’s now in the process of establishing seven “schools in the cloud,” five in India and two in the UK. In India, most of his schools are single-room buildings. There will be no teachers, curriculum, or separation into age groups—just six or so computers and a woman to look after the kids’ safety. His defining principle: “The children are completely in charge.”

“THE BOTTOM LINE IS, IF YOU’RE NOT THE ONE CONTROLLING YOUR LEARNING, YOU’RE NOT GOING TO LEARN AS WELL.”

Mitra argues that the information revolution has enabled a style of learning that wasn’t possible before. The exterior of his schools will be mostly glass, so outsiders can peer in. Inside, students will gather in groups around computers and research topics that interest them. He has also recruited a group of retired British teachers who will appear occasionally on large wall screens via Skype, encouraging students to investigate their ideas—a process Mitra believes best fosters learning. He calls them the Granny Cloud. “They’ll be life-size, on two walls” Mitra says. “And the children can always turn them off.

Mitra’s work has roots in educational practices dating back to Socrates. Theorists from Johann Heinrich Pestalozzi to Jean Piaget and Maria Montessori have argued that students should learn by playing and following their curiosity. Einstein spent a year at a Pestalozzi-inspired school in the mid-1890s, and he later credited it with giving him the freedom to begin his first thought experiments on the theory of relativity. Google founders Larry Page and Sergey Brin similarly claim that their Montessori schooling imbued them with a spirit of independence and creativity.

In recent years, researchers have begun backing up those theories with evidence. In a 2011 study, scientists at the University of Illinois at Urbana-Champaign and the University of Iowa scanned the brain activity of 16 people sitting in front of a computer screen. The screen was blurred out except for a small, movable square through which subjects could glimpse objects laid out on a grid. Half the time, the subjects controlled the square window, allowing them to determine the pace at which they examined the objects; the rest of the time, they watched a replay of someone else moving the window. The study found that when the subjects controlled their own observations, they exhibited more coordination between the hippocampus and other parts of the brain involved in learning and posted a 23 percent improvement in their ability to remember objects.The bottom line is, if you’re not the one who’s controlling your learning, you’re not going to learn as well,” says lead researcher Joel Voss, now a neuroscientist at Northwestern University.

In 2009, scientists from the University of Louisville and MIT’s Department of Brain and Cognitive Sciences conducted a study of 48 children between the ages of 3 and 6. The kids were presented with a toy that could squeak, play notes, and reflect images, among other things. For one set of children, a researcher demonstrated a single attribute and then let them play with the toy. Another set of students was given no information about the toy. This group played longer and discovered an average of six attributes of the toy; the group that was told what to do discovered only about four. A similar study at UC Berkeley demonstrated that kids given no instruction were much more likely to come up with novel solutions to a problem. “The science is brand-new, but it’s not as if people didn’t have this intuition before,” says coauthor Alison Gopnik, a professor of psychology at UC Berkeley.

Gopnik’s research is informed in part by advances in artificial intelligence. If you program a robot’s every movement, she says, it can’t adapt to anything unexpected. But when scientists build machines that are programmed to try a variety of motions and learn from mistakes, the robots become far more adaptable and skilled. The same principle applies to children, she says.


A BRIEF HISTORY OF ALTERNATIVE SCHOOLS

Alternative Schools, a History · New research shows what educators have long intuited: Letting kids pursue their own interests sharpens their hunger for knowledge. Here’s a look back at this approach. —Jason Kehe
Socrates
470BC | Socrates is born in Athens. He goes on to become a long-haired teacher who famously let students arrive at their own conclusions. His questioning, probing approach — the Socratic method—endures to this day.
Maria Montessori
1907 | Maria Montessori opens her first Children’s House in Rome, where kids are encouraged to play and teach themselves. Americans later visit her schools and see the Montessori method in action. It spreads worldwide.
Rudolf Steiner
Waldorf school
1919 | The first Waldorf school opens in Stuttgart, Germany. Based on the ideas of philosopher Rudolf Steiner, it encourages self-motivated learning. Today, there are more than 1,000 Waldorf schools in 60 countries.
A. S. Neill
1921 | A. S. Neill Founds the Summerhill School, where kids have the “freedom to go to lessons or stay away, freedom to play for days … or years if necessary.” Eventually, such democratic schoolsappear around the world.
Loris Malaguzzi
1945 | Loris Malaguzzi volunteers to teach in a school that parents are building in a war-torn Italian village outside Reggio Emilia. The Reggio Emilia approach—a community of self-guided learning—is born.
Seymour Papert
1967 |Seymour Papert, a protégé of child psychologist Jean Piaget, helps create the first version of Logo, a programming language kids can use to teach themselves. He becomes a lifelong advocate for technology’s role in learning.
Sugata Mitra
1999 | Sugata Mitra conducts his first “hole in the wall” experiment in New Delhi, India. On their own, slum kids teach themselves to use a computer. Mitra dubs his approach minimally invasive education.
Ken Robinson
2006 | Ken Robinson gives what will become the most frequently viewed TED Talk ever: “How Schools Kill Creativity.”Students should be free to make mistakes and pursue their own creative interests, Robinson argues.
Common Core
2012 | Forty-five US states adopt the Common Core, new curriculum standards that include student-centered learning. Math students, say, should “start by explaining to themselves the meaning of a problem.
Brooklyn Free School Students here direct their own learning. There are no grades or formal assignments.  Brian Finke
Evolutionary psychologists have also begun exploring this way of thinking. Peter Gray, a research professor at Boston College who studies children’s natural ways of learning, argues that human cognitive machinery is fundamentally incompatible with conventional schooling. Gray points out that young children, motivated by curiosity and playfulness, teach themselves a tremendous amount about the world. And yet when they reach school age, we supplant that innate drive to learn with an imposed curriculum. “We’re teaching the child that his questions don’t matter, that what matters are the questions of the curriculum. That’s just not the way natural selection designed us to learn. It designed us to solve problems and figure things out that are part of our real lives.

Some school systems have begun to adapt to this new philosophy—with outsize results. In the 1990s, Finland pared the country’s elementary math curriculum from about 25 pages to four, reduced the school day by an hour, and focused on independence and active learning. By 2003, Finnish students had climbed from the lower rungs of international performance rankings to first place among developed nations.

Nicholas Negroponte, cofounder of the MIT Media Lab, is taking this approach even further with his One Laptop per Child initiative. Last year the organization delivered 40 tablets to children in two remote villages in Ethiopia. Negroponte’s team didn’t explain how the devices work or even open the boxes. Nonetheless, the children soon learned to play back the alphabet song and taught themselves to write letters. They also figured out how to use the tablet’s camera. This was impressive because the organization had disabled camera usage. “They hacked Android,” Negroponte says.

One day Juárez Correa went to his whiteboard and wrote “1 = 1.00.” Normally, at this point, he would start explaining the concept of fractions and decimals. Instead he just wrote “½ = ?” and “¼ = ?”

Think about that for a second,” he said, and walked out of the room.

While the kids murmured, Juárez Correa went to the school cafeteria, where children could buy breakfast and lunch for small change. He borrowed about 10 pesos in coins, worth about 75 cents, and walked back to his classroom, where he distributed a peso’s worth of coins to each table. He noticed that Paloma had already written .50 and .25 on a piece of paper.

One peso is one peso,” he said. “What’s one-half?

At first a number of kids divided the coins into clearly unequal piles. It sparked a debate among the students about what one-half meant. Juárez Correa’s training told him to intervene. But now he remembered Mitra’s research and resisted the urge. Instead, he watched as Alma Delia Juárez Flores explained to her tablemates that half means equal portions. She counted out 50 centavos. “So the answer is .50,” she said. The other kids nodded. It made sense.

For Juárez Correa it was simultaneously thrilling and a bit scary. In Finland, teachers underwent years of training to learn how to orchestrate this new style of learning; he was winging it. He began experimenting with different ways of posing open-ended questions on subjects ranging from the volume of cubes to multiplying fractions. “The volume of a square-based prism is the area of the base times the height. The volume of a square-based pyramid is that formula divided by three,” he said one morning. “Why do you think that is?

He walked around the room, saying little. It was fascinating to watch the kids approach the answer. They were working in teams and had models of various shapes to look at and play with. The team led by Usiel Lemus Aquino, a short boy with an ever-present hopeful expression, hit on the idea of drawing the different shapes—prisms and pyramids. By layering the drawings on top of each other, they began to divine the answer. Juárez Correa let the kids talk freely. It was a noisy, slightly chaotic environment—exactly the opposite of the sort of factory-friendly discipline that teachers were expected to impose. But within 20 minutes, they had come up with the answer.

Three pyramids fit in one prism,” Usiel observed, speaking for the group. “So the volume of a pyramid must be the volume of a prism divided by three.”

Juárez Correa was impressed. But he was even more intrigued by Paloma. During these experiments, he noticed that she almost always came up with the answer immediately. Sometimes she explained things to her tablemates, other times she kept the answer to herself. Nobody had told him that she had an unusual gift. Yet even when he gave the class difficult questions, she quickly jotted down the answers. To test her limits, he challenged the class with a problem he was sure would stump her. He told the story of Carl Friedrich Gauss, the famous German mathematician, who was born in 1777.

When Gauss was a schoolboy, one of his teachers asked the class to add up every number between 1 and 100. It was supposed to take an hour, but Gauss had the answer almost instantly.

Does anyone know how he did this?” Juárez Correa asked.

A few students started trying to add up the numbers and soon realized it would take a long time. Paloma, working with her group, carefully wrote out a few sequences and looked at them for a moment. Then she raised her hand.

The answer is 5,050,” she said. “There are 50 pairs of 101.

Juárez Correa felt a chill. He’d never encountered a student with so much innate ability. He squatted next to her and asked why she hadn’t expressed much interest in math in the past, since she was clearly good at it.

Because no one made it this interesting,” she said.

OUR EDUCATIONAL SYSTEM IS ROOTED IN THE INDUSTRIAL AGE. IT VALUES PUNCTUALITY, ATTENDANCE, AND SILENCE ABOVE ALL ELSE.

Paloma’s father got sicker. He continued working, but he was running a fever and suffering headaches. Finally he was admitted to the hospital, where his condition deteriorated; on February 27, 2012, he died of lung cancer. On Paloma’s last visit before he passed away, she sat beside him and held his hand. “You are a smart girl,” he said. “Study and make me proud.

Paloma missed four days of school for the funeral before returning to class. Her friends could tell she was distraught, but she buried her grief. She wanted to live up to her father’s last wish. And Juárez Correa’s new style of curating challenges for the kids was the perfect refuge for her. As he continued to relinquish control, Paloma took on more responsibility for her own education. He taught the kids about democracy by letting them elect leaders who would decide how to run the class and address discipline. The children elected five representatives, including Paloma and Usiel. When two boys got into a shoving match, the representatives admonished the boys, and the problem didn’t happen again.

Juárez Correa spent his nights watching education videos. He read polemics by the Mexican cartoonist Eduardo del Río (known as Rius), who argued that kids should be free to explore whatever they want. He was also still impressed by Mitra, who talks about letting children “wander aimlessly around ideas.” Juárez Correa began hosting regular debates in class, and he didn’t shy away from controversial topics. He asked the kids if they thought homosexuality and abortion should be permitted. He asked them to figure out what the Mexican government should do, if anything, about immigration to the US. Once he asked a question, he would stand back and let them engage one another.

A key component in Mitra’s theory was that children could learn by having access to the web, but that wasn’t easy for Juárez Correa’s students. The state paid for a technology instructor who visited each class once a week, but he didn’t have much technology to demonstrate. Instead, he had a batch of posters depicting keyboards, joysticks, and 3.5-inch floppy disks. He would hold the posters up and say things like, “This is a keyboard. You use it to type.”

As a result, Juárez Correa became a slow-motion conduit to the Internet. When the kids wanted to know why we see only one side of the moon, for example, he went home, Googled it, and brought back an explanation the next day. When they asked specific questions about eclipses and the equinox, he told them he’d figure it out and report back.
Sugata Mitra’s research on student-led learning inspired Juárez Correa
Juárez Correa also brought something else back from the Internet. It was the fable of a forlorn burro trapped at the bottom of a well. Since thieves had broken into the school and sliced the electrical cord off of the classroom projector (presumably to sell the copper inside), he couldn’t actually show them the clip that recounted the tale. Instead, he simply described it.

One day, a burro fell into a well, Juárez Correa began. It wasn’t hurt, but it couldn’t get out. The burro’s owner decided that the aged beast wasn’t worth saving, and since the well was dry, he would just bury both. He began to shovel clods of earth into the well. The burro cried out, but the man kept shoveling. Eventually, the burro fell silent. The man assumed the animal was dead, so he was amazed when, after a lot of shoveling, the burro leaped out of the well. It had shaken off each clump of dirt and stepped up the steadily rising mound until it was able to jump out.

Juárez Correa looked at his class. “We are like that burro,” he said. “Everything that is thrown at us is an opportunity to rise out of the well we are in.”

When the two-day national standardized exam took place in June 2012, Juárez Correa viewed it as just another pile of dirt thrown on the kids’ heads. It was a step back to the way school used to be for them: mechanical and boring. To prevent cheating, a coordinator from the Ministry of Education oversaw the proceedings and took custody of the answer sheets at the end of testing. It felt like a military exercise, but as the kids blasted through the questions, they couldn’t help noticing that it felt easy, as if they were being asked to do something very basic.

Ricardo Zavala Hernandez, assistant principal at José Urbina López, drinks a cup of coffee most mornings as he browses the web in the admin building, a cement structure that houses the school’s two functioning computers. One day in September 2012, he clicked on the site for ENLACE, Mexico’s national achievement exam, and discovered that the results of the June test had been posted.

Zavala Hernandez put down his coffee. Most of the classes had done marginally better this year—but Paloma’s grade was another story. The previous year, 45 percent had essentially failed the math section, and 31 percent had failed Spanish. This time only 7 percent failed math and 3.5 percent failed Spanish. And while none had posted an Excellent score before, 63 percent were now in that category in math.

The language scores were very high. Even the lowest was well above the national average. Then he noticed the math scores. The top score in Juárez Correa’s class was 921. Zavala Hernandez looked over at the top score in the state: It was 921. When he saw the next box over, the hairs on his arms stood up. The top score in the entire country was also 921.

He printed the page and speed-walked to Juárez Correa’s classroom. The students stood up when he entered.

Take a look at this,” Zavala Hernandez said, handing him the printout.

Juárez Correa scanned the results and looked up. “Is this for real?” he asked.

I just printed it off the ENLACE site,” the assistant principal responded. “It’s real.”

Juárez Correa noticed the kids staring at him, but he wanted to make sure he understood the report. He took a moment to read it again, nodded, and turned to the kids.

We have the results back from the ENLACE exam,” he said. “It’s just a test, and not a great one.

A number of students had a sinking feeling. They must have blown it.

But we have a student in this classroom who placed first in Mexico,” he said, breaking into a smile.

Paloma received the highest math score in the country, but the other students weren’t far behind. Ten got math scores that placed them in the 99.99th percentile. Three of them placed at the same high level in Spanish. The results attracted a quick burst of official and media attention in Mexico, most of which focused on Paloma. She was flown to Mexico City to appear on a popular TV show and received a variety of gifts, from a laptop to a bicycle.

Juárez Correa himself got almost no recognition, despite the fact that nearly half of his class had performed at a world- class level and that even the lowest performers had markedly improved.

His other students were congratulated by friends and family. The parents of Carlos Rodríguez Lamas, who placed in the 99.99th percentile in math, treated him to three steak tacos. It was his first time in a restaurant. Keila Francisco Rodríguez got 10 pesos from her parents. She bought a bag of Cheetos. The kids were excited. They talked about being doctors, teachers, and politicians.

Juárez Correa had mixed feelings about the test. His students had succeeded because he had employed a new teaching method, one better suited to the way children learn. It was a model that emphasized group work, competition, creativity, and a student-led environment. So it was ironic that the kids had distinguished themselves because of a conventional multiple-choice test. “These exams are like limits for the teachers,” he says. “They test what you know, not what you can do, and I am more interested in what my students can do.

Like Juárez Correa, many education innovators are succeeding outside the mainstream. For example, the 11 Internationals Network high schools in New York City report a higher graduation rate than the city’s average for the same populations. They do it by emphasizing student-led learning and collaboration. At the coalition of Big Picture Learning schools—56 schools across the US and another 64 around the world—teachers serve as advisers, suggesting topics of interest; students also work with mentors from business and the community, who help guide them into internships. As the US on-time high school graduation rate stalls at about 75 percent, Big Picture is graduating more than 90 percent of its students.

But these examples—involving only thousands of students—are the exceptions to the rule. The system as a whole educates millions and is slow to recognize or adopt successful innovation. It’s a system that was constructed almost two centuries ago to meet the needs of the industrial age. Now that our society and economy have evolved beyond that era, our schools must also be reinvented.

For the time being, we can see what the future looks like in places like Juárez Correa’s classroom. We can also see that change will not come easily. Though Juárez Correa’s class posted impressive results, they inspired little change. Francisco Sánchez Salazar, chief of the Regional Center of Educational Development in Matamoros, was even dismissive. “The teaching method makes little difference,” he says. Nor does he believe that the students’ success warrants any additional help. “Intelligence comes from necessity,” he says. “They succeed without having resources.”

More than ever, Juárez Correa felt like the burro in the story. But then he remembered Paloma. She had lost her father and was growing up on the edge of a garbage dump. Under normal circumstances, her prospects would be limited. But like the burro, she was shaking off the clods of dirt; she had begun climbing the rising mound out of the well.

Want to help teachers like Sergio Juárez Correa make a difference?
Here’s how you can get involved in the student-centered movement.


ORIGINAL: Wired
10.15.13

sábado, 30 de marzo de 2013

Is Brain Mapping Ready for Big Science?

ORIGINAL: GEN


The BAM project will be an expensive undertaking. Will it be worth the cost?

The Brain Activity Map Project is aimed at reconstructing the full record of neural activity across complete neural circuits, with the goal of understanding fundamental and pathological brain processes. [V. Yakobchuk/Fotolia.com]
President Barack Obama’s public-private initiative to create an activity map of the human brain will cost more than $3 billion, projections say, or $300 million annually for 10 years. The project has multiple private and public institutions lined up to participate, including the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation. All parties hope that the initiative will move brain science forward with the same kind of money and focused effort that drove the Genome Project.

Every dollar we invested to map the human genome returned $140 to our economy—every dollar,” the president commented. “Today our scientists are mapping the human brain to unlock the answers to Alzheimer’s. They’re developing drugs to regenerate damaged organs, devising new materials to make batteries 10 times more powerful. Now is not the time to gut these job-creating investments in science and innovation.

George M. Church, Ph.D., professor of genetics at Harvard Medical School and director of PersonalGenomes.org, said he was helping to plan the Brain Activity Map project.

If you look at the total spending in neuroscience and nanoscience that might be relative to this today, we are already spending more than that. We probably won’t spend less money, but we will probably get a lot more bang for the buck,” he commented in the New York Times.

BAM
The proposal for the project came from six scientists, among them Dr. Church, who said in the journal Neuron, “We propose launching a large-scale, international public effort, the Brain Activity Map project (BAM), aimed at reconstructing the full record of neural activity across complete neural circuits. This technological challenge could prove to be an invaluable step toward understanding fundamental and pathological brain processes.

The collective idea for the initiative was generated at a meeting of neuroscientists and nanoscientists convened in September 2011 at the Kavli Royal Society International, U.K., organized by Tom Kalil, deputy director for policy at the White House’s Office of Science and Technology Policy (OSTP), and Miyoung Chun, Ph.D., vice president of science programs at the Kavli Foundation in Oxnard, California.

The Kavli institute has founded institutes for brain science at UC San Diego, Yale, and the Norwegian University of Science and Technology.

Meeting attendees articulated the issues the BAM will address in its report, mentioning “our persistent ignorance of the brain’s micro-circuitry—the minute and multitudinous connections contained within,” and citing the great brain scientist Ramon y Cajal’s 1923 quote that refers to the interconnected, intermixed, and dynamical network of different cell types as “impenetrable jungles where many investigators have lost themselves.” “Another equally fundamental shortcoming,” they noted, “is our inability to monitor network interactions and coordinated brain activities densely, and to do so simultaneously across extended regions of the brain, and with sufficient temporal and spatial resolution.

And most scientists, whether proponents or opponents of the big science approach to brain mapping, agree that its biggest challenge is the need to develop novel tools to study the brain.

Revolutionary New Tools Needed
Partha Mitra, Ph.D., a theoretical physicist and currently Crick-Clay professor of biomathematics at Cold Spring Harbor Laboratory, says that current methods to visualize living or dead brains provide only glimpses of small portions of the full spatial extent of neurons in the human brain, or pictures of thin sections of brain, with pieces of the neurons in them. “No one has yet seen, under the microscope or in digital reconstruction, a complete human brain neuron that sends projections to distant parts of the brain. To do that at the whole-brain scale would be like seeing a new continent or planet.Dr. Mitra’s research currently combines experimental, theoretical, and informatics approaches to gain an understanding of how brains work.

Dr. Chun has been developing the project since the beginning and has described herself as the “glue” holding the diverse stakeholders together. She told Nature that “there’s clearly an issue with tool development—and not just amending current, existing tools, although that will be important in the initial stages. In the long run, one of the very important points would be to come up with revolutionary new tools that will measure brain activity in a completely different way than what we know now.

And project proponents say the only way to tackle some thus far tricky intractable human diseases, like Alzheimer’s and Parkinson’s disease, is with a huge program. “We are right on the edge of finding out really vital information about the brain,” says Brown University neuroscientist John Donoghue, Ph.D., who was part of the project team. “There are questions we can now answer that can only be tackled as a collaborative project,” not by individual labs.

In Dr. Donaghue's view, the problem is that the people developing novel technologies and the neuroscience community don’t communicate effectively. Biologists don't know enough about the tools already out there, and the materials scientists aren't getting feedback from them on ways to make their tools more useful.

Economic Incentives
And there’s no denying the economic incentives the project provides. “What motivates people to pursue these big projects is not the belief that they will solve problems,” says Michael Eisen, Ph.D., a biologist at the University of California, Berkeley. “It’s the belief that this is the way to get money.”

John Mazziotta, M.D., Ph.D., UCLA’s department of neurology chair and director of its Brain Mapping Center, says, “This initiative is more comprehensive than anything I’ve ever seen medicine and neuroscience. This effort will be both the stimulus and the challenge to work and collaborate in ways we haven’t done before, but always have wanted to.

UCLA will likely benefit handsomely from the initiative as it says it is “well-positioned” to play a significant role in the effort and to capture funding that will support such an initiative, owing to the existence Ahmanson-Lovelace Brain Mapping Center and its “excellence” in nanoscience and nanotechnology.

Dr. Church is also in favor of spreading the funding for the project around. In an interview with Harvard Medical School News last month, he said, “The Genome Project didn’t adequately embrace small science. I think enabling small labs to do amazing things might be more powerful than having a juggernaut of a large lab, or worse yet, a race among a few large labs.

A report from the Battelle Technology Partnership says that, between 1988 and 2010, federal investment in genomic research generated an economic impact of $796 billion, “impressive” considering that Human Genome Project (HGP) spending between 1990–2003 amounted to $3.8 billion and an ROI of 141:1.

Apart from job creation and ROI, if this massive initiative provides new treatment targets for intractable human neurological and psychiatric disorders, it will have been worth the investment.

Patricia Fitzpatrick Dimond, Ph.D. (pdimond@genengnews.com), is technical editor at Genetic Engineering & Biotechnology News.

jueves, 8 de noviembre de 2012

Why Math is Like the Honey Badger: Nate Silver Ascendant

November 7, 2012


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Neglect of mathematics works injury to all knowledge, since one who is ignorant of it cannot know the other sciences, or the things of this world. And what is worst, those who are thus ignorant are unable to perceive their own ignorance, and so do not seek a remedy.” — Roger Bacon

It’s no secret that lots of people hate and fear any kind of math. I certainly spent much of my life fighting a knee jerk inward cringe at the mere sight of an equation, and many of the folks I spoke with while writing The Calculus Diaries had even more extreme reactions. They talked about sweaty palms, cold sweats, and a cold knot of dread in the pit of their stomachs when encountering anything to do with numbers. Per my friend Lee, who initially failed her high school algebra class: “It wrecked my self-confidence in a way nothing else ever did, and still knots my stomach. I’m not totally innumerate, but anything that looks like an equation makes me break out into a cold sweat and run screaming in the other direction.

Another friend, Allyson, was even more blunt: “My initial reaction to the word ‘calculus’ is not unlike a caveman throwing rocks at the moon in ignorance and fear resulting in blind rage. There is no such thing as ghosts creeping up behind me on the stairs, but there is such a thing as a polynomial monster, and it has hooked teeth and causes chronic yeast infections, I’m sure.

I can’t speak to the yeast infections, but a new psychological study indicates that such reactions do have real, measurable physical effects. Specifically, when it comes to neural responses, math anxiety reads much the same as physical pain. It’s not the numbers themselves, but the anticipation of encountering them, that seemed to trigger anxious, painful responses in the test subjects.

There are many complicated reasons why people react this way, but one of them might be the fact that math is just so damned unyielding, the enemy of wishful thinking, dashing our most cherished hopes with its cold hard facts. And is it sorry? It is not! Like the infamous honey badger, math don’t care. Math don’t give a s$%.

Also like the honey badger, math has shown itself to be quite the badass of late. If ever there was an iron-clad case to be made for math literacy, it’s what happened over the last few weeks with the New York Times‘ star statistician Nate Silver and his 538 blog (named after the 538 votes in the electoral college).

For the 0.1% of you who don’t know Silver’s name by now, he started out analyzing the statistical probabilities of baseball teams, then turned his attention to the 2008 presidential elections. He devised a fairly sophisticated mathematical model that didn’t just rely on a few public opinion polls here and there, but fed all the polls into the model, with additional tweaking to eliminate the inevitable sampling errors. And the results were pretty darned impressive: he correctly called 49 out of the 50 states and many of the Congressional races that year as well.

Fast forward to the 2012 presidential election, when most pundits were describing the race as a veritable toss-up between Mitt Romney and Barack Obama. As partisan tensions rose, Silver’s forecast became a handy target, because his models consistently gave Obama much better statistical odds than the general punditry at winning re-election. Even at the low point of the Obama campaign, in the aftermath of that first debate, Silver’s model still gave the president around a 66% chance of re-election — largely based on his rigorous analysis of polling trends in critical battleground swing states. A week before Election Day, those odds increased to around 75%, rising steadily to a final prediction of 90.9%.

This was in stark contrast to the conservative punditry, who seemed to be inhabiting a bizarre alternate reality where Romney held a slight lead and was poised to win many of the battleground states. George Will, Peggy Noonan, Newt Gingrich, Fox News’ numbers guy Michael Barone, and GOP strategist Karl Rove all predicted a solid Romney win, breaking 300 electoral votes and winning the popular vote, while Dick Morris hopped on the crazy train and predicted a Romney landslide. (Hey,someone‘s gotta take the longshot odds!)

How to explain the discrepancy? The conservatives went on the offense, attacking Silver’s analysis as hopelessly biased — everyone knew, they said, that Silver was “in the tank” for Obama — and overly reliant on polls skewed in favor of Obama. This last accusation even inspired a separate Website, Unskewed Polls, purporting to be an unbiased analysis — shades of Fox News’ laughable “fair and balanced” tagline. (Huh. Conservatives didn’t have a problem with Silver’s 2010 prediction of major gains for the GOP in the House, which also proved to be highly accurate.)

The attacks got pretty personal, with David Brooks calling Silver “over-rated,” MSNBC’s Joe Scarborough dismissing him as an ideologue and “a joke,” and even Politico’s Dylan Byers pondering whether Silver was “a one-term celebrity” — as if it was his name recognition, rather than the numbers, that mattered. And the Unskewed Polls founder, Dean Chalmers, sneered in The Examiner that Silver was “a man of very small stature, a thin and effeminate man with a soft-sounding voice that sounds almost exactly like the ‘Mr. New Castrati’ voice used by Rush Limbaugh on his program.

Nate Silver
Honestly, what could a scrawny, liberal-intellectual girly-man with a reedy voice really tell us about such a close election, relying on something as magically intangible as numerical wizardry? Silver channeled his inner honey badger and handled the backlash admirably, ably defending his statistical methodology against the charges of wizardry and partisan bias, and cheekily responding to his detractors on Twitter.

(My favorite Silver tweet, after the massive storm, Sandy, devastated New York and New Jersey: “”CAN’T BELIEVE METEOROLOGISTS USED MATH AND SCIENCE TO PREDICT THIS STORM. THEY MUST BE MAGIC WIZARDS.”

He kept chugging away at his predictive model, feeding in the daily poll numbers and crunching the data, accounting for confounding factors and potential sources of bias, trusting in teh math over the gut instincts of the punditry. As many others have pointed out, there was a great deal of ignorance of statistical probabilities — and thenature of uncertainty — behind much of the Silver criticism (not that there aren’t valid things to criticize in his model, but bitching about his reedy voice and slight built aren’t among them).

Clearly, that widespread antipathy towards all things numerical plagues some otherwise very smart people. But the outcry was as much part of the rampant anti-intellectualism that dominates certain circles in our society. In a post at Deadspin, David Roher opined, “It was only a matter of time before the war on expertise spilled over into the cells of Nate Silver’s spreadsheets.” Stephen Colbert memorably said reality has a well-known liberal bias; apparently that bias extends to math.

(For those keen on knowing more details, Zeynep Tufekci of the University of North Carolina offered one of the best defenses of Silver and statistical modeling methods at Wired: check it out.)

Silver is not an oracle, and has never claimed to be, so the over-reaction was just plain silly. Sure, by late October 538's models favored Obama 79% to 21%, when the national polling averages were indicating a dead heat. But any good poker player will tell you that a 21% favored hand wins quite frequently — i.e., 21% of the time. In fact, Silver himself used the poker metaphor in his last post before Election Day, estimating Romney’s chances of winning the election as being roughly the same odds as drawing in inside straight:

[I]n poker, making an inside straight requires you to catch one of 4 cards out of 48 remaining in the deck, the chances of which are about 8 percent. Those are now about Mr. Romney’s chances of winning the Electoral College, according to the FiveThirtyEight forecast.

As any poker player knows, those 8 percent chances do come up once in a while. If it happens this year, then a lot of polling firms will have to re-examine their assumptions — and we will have to re-examine ours about how trustworthy the polls are. But the odds are that Mr. Obama will win another term.

He later slightly revised those odds to give Romney a 9.1% chance of an upset — largely to account for just the sort of pro-Obama potential bias in the polls that his critics had been braying about. So how’d Silver do in predicting the actual election? Check it out:


Boo-yah! Behold the data, for it is mighty! Silver correctly predicted 50 states out of 50, and even nailed the popular vote within a few tenths of a percentage point. When the graphic above hit Twitter, Alaska’s returns hadn’t been recorded, but it went, as predicted, to Romney. The sole genuine toss-up state, Florida — which Silver had at 50/50 odds — is still technically not final (as of 5 PM EST on Wednesday, November 7), waiting on votes from Miami-Dade county, which heavily favors Obama, who already holds a slight lead. It’s expected Florida will also land in Obama’s column, so Silver’s controversial last-minute switch of Florida from light pink to light baby blue was justified. (To see how all the others fared, check out this graph.)

Plus his book sales are skyrocketing, he’s well poised to negotiate an even more lucrative contract with the Times, and he’s inspired his own Chuck Norris style Twitter hastag, #NateSilverfacts. (My favorite so far: “When criticized by pundits, Nate Silver doesn’t get angry – he regresses toward the mean.”) Oh, and one satirical Website proclaimed Silver a witch. One imagines an elated Silver dancing Gangnam style in his office digs, thoroughly vindicated by the election returns — although it’s more likely that he collapsed in exhaustion, given his feverish frequency of updates over the last few weeks. But he’s certainly earned to the right in indulge in a bit of Schadenfreude.

That was just the presidential race, of course. I haven’t seen a full assessment of his predictions for other races, but there was at least one major upset in North Dakota, when Heidi Heitberg narrowly edged out opponent Rick Berg, despite Silver giving the latter a 92.5% chance of re-election.

And he missed on a Montana race, too, where the Democratic candidate handily won, although Silver gave his Republican opponent a 66% chance of winning (although there were far fewer Montana polls, and hence not as large of a data sample). So, yanno, the guy’s not perfect. That’s statistical uncertainty for you.

Still, to quote a classic xkcd comic: SCIENCE! It works, bitchez! The math doesn’t care what you want to be true: it calls it like it sees it, denialism be damned. The honey badger heartily approves.

xkcd's Randal Munroe nails it. As always.
Which is why it was so fascinating to watch the election coverage meltdown on Fox News as the numbers came rolling in: denialism crashed head-first into numbers-based reality and popped the conservative punditry bubble. The cognitive dissonance was palpable. (As Steve Mirsky noted on Twitter, “Fox News is having a psychotic break.)

Rove actually objected on-air when Fox’s independent election analysts called the race for Obama, insisting Romney still had a fighting chance in Ohio. Anchor Megyn Kelly marched down the hall to the analysts’ desk and demanded an explanation.

To their credit, the analysts (who had done the math) didn’t back down: “We’re actually quite comfortable with the call.” And of course, the analysts were right, something Rove — a smart, math-minded guy in his own right, when he’s not blinded by partisanship — grudgingly conceded in the end. (So did Barone, Gingrich, and Morris.)

So is Nate Silver the new God of the Geeks? Should we all bow down to our thin, effeminate Mathematical Wizardry Overlord? Not so fast. As several folks pointed out this morning, Silver certainly wasn’t the only poll-savvy statistician with heavy odds favoring an Obama re-election — most notably, Sam Wang’s Princeton Election Consortium gave Obama 98% odds of re-election. He was just the most visible.

Silver’s gift is combining rigorous statistical modeling with a savvy populist approach. But he did bear the brunt of the criticism, so it’s only fair he reap the requisite rewards. Ironically, Silver also predicted the post-election reaction to his analysis, in an interview with Buzzfeed: “I’m sure that I have a lot riding on the outcome. I’m also sure I’ll get too much credit if the prediction is right and too much blame if it is wrong.

The real winner wasn’t Silver, but the math. The 2012 election was a real-time experiment in the accuracy of statistical modeling, and it passed with flying colors. That doesn’t mean there still isn’t room for improvement, or that such models are infallible, but the fundamental principles are solid. For now. Call it the triumph of the nerds. I doubt we’ve seen the end of denialism, by a long shot, but it’s nice when, once in awhile, scientific rigor gets a big win.


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About the Author: Jennifer Ouellette is a recovering English major turned science writer who loves to indulge her inner geek by finding quirky connections between physics, popular culture, and the world at large. Follow on Twitter @JenLucPiquant.

viernes, 10 de junio de 2011

De regreso de la muerte: Sorprendentes imágenes muestran cómo Japón se está recuperando en tan sólo tres meses después del tsunami

ORIGINAL: Daily Mail

Por EMILY ALLEN
Traducción: Ciencia en Canoa. Vanessa Restrepo Schild
Actualizado a las 15:58 el 10 de junio 2011 

La economía de Japón se contrajo un 0,9 por ciento en el primer trimestre, pero se espera una recuperación entre julio y septiembre 

Sólo hace tres meses Japón se sumió en el caos después de un terremoto catastrófico envió un tsunami sin piedad estrellándose a través de pueblos y ciudades por toda la costa este. 
La marea implacable de agua destruyó decenas de miles de edificios, devorando casi cualquier cosa en su camino. Miles de personas murieron y cientos de cuerpos nunca se recuperaron. 


Las imágenes desgarradoras de familias buscando desesperadamente a sus seres queridos entre los escombros de sus casas enviado ondas de choque a todo el mundo. 

Ahora, en tres meses, estas imágenes muestran los japoneses avanzan sin ser intimidados por la naturaleza que ha causado estragos en su país a medida que afrontan paso a paso la tarea de reconstruir su nación. 


El barco de recreo "Hamayuri" varado en la azotea de un hotel por el tsunami y un edificio hasta ahora han sido removidos en la ciudad de Otsuchi, Prefectura de Iwate, el 6 de abril, la parte superior, y el 3 de junio, la parte inferior. 
Una puerta del santuario sintoísta y sus alrededores en la localidad de Otsuchi, Prefectura de Iwate tres días después del 11 de marzo terremoto y el tsunami y el mismo lugar el 3 de junio 

Pero a pesar de sus progresos, y los crudos recordatorios del trabajo que queda por hacer: la capacidad de recuperación de este país asiático todavía está siendo puesta a prueba.

Se han hecho avance en la limpieza de la ciudad de Otsuchi en la prefectura de Iwate, donde ha estado el barco de recreo "Hamayuri", que fue arrojado muy arriba en la azotea de una posada, ya ha sido retirado, junto con un edificio destrozado por la el muro de agua. 

Más abajo está la imagen de una puerta del santuario sintoísta en la ciudad tres días después del 11 de marzo de desastres. 
El mismo lugar el 3 de junio muestra que miles de toneladas de basura, que estaba ardiendo en un paisaje casi pos-apolcalíptico, se ha borrado, los caminos se han re-establecido y restaurado las líneas eléctricas. 

La civilización parece haber vuelto en Natori en la prefectura de Miyagi también. La primera imagen muestra una imponente muralla de mar estrellándose a través de los árboles devastando hogares y negocios alineados en la costa, derribando líneas eléctricas y todo lo ahoga en su camino. 

Una zona residencial siendo golpeada por el tsunami en Natori, prefectura de Miyagi, en la parte superior, y la misma zona, con una sola casa que queda de fondo el 3 de junio 

El estacionamiento de un centro comercial lleno de casas y restos de la ciudad Otsuchi, prefectura de Iwate, dos días después del terremoto y la imagen de la misma zona el 3 de junio

Sorprendentemente sólo una casa sobrevivió a las olas y la excavadora solitario es la foto que despejó la comunidad una vez floreciente que qiedó reducida a escombros. Cientos de vehículos estacionados en el primer plano quedan abandonados y parece ser el único recuerdo de la devastación. 

Del mismo modo, la impactante imagen de un barco encima de toneladas de escombros en el Kesennuma en la prefectura de Miyagi, el 20 de marzo se proyectó en todo el mundo y se convirtió en un símbolo del desastre. 

La fotografía muestra un cielo gris lleno de humo por encima de un camino de destrucción, pero en tres meses, la mayor parte de los restos se ha borrado, las líneas de energía restaurada y la esperanza está en el horizonte. 

Un estacionamiento de vehículos en un centro comercial, lleno de casas y restos de la ciudad en la prefectura de Iwate Otsuchi también está nuevo en pie y los signos de la vida están regresando. Los espacios de estacionamiento son claramente visibles donde antes sólo había montones de madera, ladrillos, y los restos de vehículos yacían hace apenas unas semanas. 
Una vista del terremoto y el tsunami que golpearon a Kesennuma, prefectura de Miyagi, el 15 de marzo, arriba, y la misma zona en la foto el 3 de junio

La imagen final muestra a la gente local a pie entre los escombros en una calle de Kesennuma, Prefectura de Miyagi en busca de agua 48 horas después de la catástrofe. La misma imagen el 3 de junio muestra el enorme tanque que estaba en el camino se ha ido y una casa dañada en el lado izquierdo de la calle se ha limpiado y restaurado. 
El terremoto de magnitud 9.0 causó la peor crisis en Japón desde la Segunda Guerra Mundial y dejó casi 28.000 muertos y desaparecidos.
El proyecto de ley de restauración que se espera asupere USD300,000 Millones y los temores por la radiación de los afectados por la planta nuclear de Fukushima siguen creciendo después de cuatro de los reactores fueron dañadas que conducen a fugas de radiación.

Esta semana, nació un conejo sin orejas cerca del reactor en el noreste de Japón aumentando la preocupación sobre los efectos secundarios a largo plazo debidos a la radiación.

A raíz de la explosión y fuga inicial, los funcionarios japoneses dijeron a las personas que viven cerca de la planta que permanecieran en el interior y apagaran de aire acondicionado y ni bebieran agua del grifo. 

Los altos niveles de radiación son conocidos como causas de cáncer y otros problemas de salud, pero los científicos aún no están claros si el defecto en el conejo está vinculada a la explosión. 

Residentes locales a pie entre los escombros en una calle de Kesennuma, Prefectura de Miyagi, en busca de agua 48 horas después del desastre, la parte superior, y la misma zona el 3 de junio, donde ha sido removidos un gran tanque y una casa dañada en el lado izquierdo de la calle despejada

La economía de Japón entró en recesión después de la devastación y los nuevos datos muestran que se contrajo un 0,9 por ciento en el primer trimestre de este ejercicio, pero los expertos dicen que una recuperación a finales de este año, cuando la industria entre en acción. 

La producción industrial aumentó un uno por ciento en abril desde una caída récord en marzo. 
Los fabricantes están haciendo progresos en el restablecimiento de las cadenas de suministro y los economistas predicen que el Producto Interno Bruto comenzará a expandirse de nuevo entre julio y septiembre. 
Una vista del terremoto y el tsunami que golpearon a Kesennuma, prefectura de Miyagi, el 20 de marzo, a la izquierda, y la misma zona después de la construcción y los escombros retirados el 3 de junio 

Arriba, los edificios están rodeados de escombros en Onagawa, prefectura de Miyagi, al noreste de Japón, el 16 de marzo de 2011, días después del devastador terremoto y el tsunami que golpearon la zona, y la misma zona, al pie, casi despejado de ruinas

La costa está llena de casas destruidas y escombros en Ishinomaki, en la prefectura de Miyagi, al noreste de Japón, un día después del terremoto y el tsunami, la parte superior, y la misma zona, al lado, despejado de casas y escombros  fotografiado el 03 de junio 2011 

Una camioneta quemada se encuentra entre los escombros arrastrados por el tsunami, en la parte superior, y margaritas floreciendo a lo largo de una esquina de la calle despejada en la misma zona el 3 de junio en Kesennuma, Prefectura de Miyagi, al norte-este de Japón 

Caminoes de Bomberos estacionados entre los escombros ena búsqueda de personas desaparecidas  en Rikuzentakata, prefectura de Iwate, noreste de Japón, el 18 de marzo, días después de que el devastador terremoto y el tsunami golpearan la zona, superior, y la misma zona, al pie, los escombros casi despejados fotografiada el 6 de junio 

Un barco arrastrado por los torrentes se encuentra entre los escombros el 12 de marzo, a la izquierda, mientras que un hombre en una bicicleta pedalea pasado a un peatón en la misma carretera 04 de junio 2011 en Miyako, prefectura de Iwate, al norte-este de Japón
Un grupo de bomberos se dirige a una operación de rescate de 13 de marzo de arriba, mientras que, abajo, un camión que va por el mismo camino ya delineado con postes eléctricos 6 de junio en Minamisanriku, Prefectura de Miyagi, al noreste de Japón