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https://www.theguardian.com/world/hurricane-irma (acessado em 07 de setembro de 2017)

Barbuda, the first island to feel the force of Hurricane Irma was devastated by its high winds, with Gaston Browne, prime minister of Antigua and Barbuda, saying 90% of buildings had been destroyed and 50% of the population of around 1,000 people left homeless. Critical facilities including roads and communications systems were ravaged, with the recovery effort set to take months or years. Some residents are expected to be evacuated to the larger sister island of Antigua – where damage was less severe – as part of relief efforts and ahead of the prospective arrival of Hurricane Jose this weekend. At least eight people were killed in St Martin, according to French officials. The number of victims on the Dutch half of the island, St Maarteen, is unknown. Netherlands prime minister Mark Rutte says there has been “enormous material damage” to St Maarten. The French president, Emmanuel Macron, earlier said he expected Irma-related damage to St Martin and another French overseas collectivity, Saint Barthélemy (St Barts), would be “considerable”. France’s overseas minister, Annick Girardin, was travelling to the Caribbean with emergency teams and supplies. The most recent island to be hit was Puerto Rico, where lashing winds and rains have left most of the population without power and tens of thousands without water. Images from the island showed flash flooding, and hospitals were forced to rely on generators. Irma is the worst hurricane to hit the island since 1928, when Hurricane San Felipe killed more than 2,700 people across Puerto Rico, Guadeloupe and Florida .More than two thirds of homes in Puerto Rico are without electricity, and 17% are without water, officials have said.. Florida’s governor, Rick Scott, warned that the arrival of Irma’s lifethreatening wind field and storm surge was imminent, and urged residents in coastal areas to leave immediately. About 250,000 people were ordered to evacuate, making it of the largest evacuations in US history as the National Hurricane Center (NHC) placed south Florida, including the southernmost counties of Monroe, Miami-Dade and Broward, under a hurricane watch. Preparations were escalating at a furious pace as the storm’s forecast path narrowed in on the south-eastern portion of the state, home to 7 million residents. Philip Levine, the mayor of Miami Beach, ordered a mandatory evacuation of the barrier island beginning at daybreak on Thursday. “This is a nuclear hurricane,” he said. “I’ll do anything in my power to convince them to leave. Get off Miami Beach.”Scott warned that that effects of the storm could begin to be felt later on Friday, with the NHC predicting Irma’s full wrath would strike the south-east coast near Miami sometime late Saturday or early Sunday morning then move north.“Look at the size of the storm,” Scott said. “It’s huge, it’s wider than our entire state right now. If you are under an evacuation order do not wait. Leave and get out. We can rebuild your home but you can’t get your life back.”

   

   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 

   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 

     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.

      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”

      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.

     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.

     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”

  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.

      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.

    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.

     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.

     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.

       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com