ENTRIES TAGGED "data science"

New data competition tackles airline delays

Airlines face a very costly data problem. A new competition looks to crack it.

The scenario is familiar: a flight leaves the gate in New York on time, sits in…
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Solving the Wanamaker problem for health care

Data science and technology give us the tools to revolutionize health care. Now we have to put them to use.

By Tim O’Reilly, Julie Steele, Mike Loukides and Colin Hill “The best minds of my generation are thinking about how to make people click ads.” — Jeff Hammerbacher, early Facebook employee “Work on stuff that matters.” — Tim O’Reilly In the early days of the 20th century, department…
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A grisly job for data scientists

Matching the missing to the dead involves reconciling two national databases.

Javier Reveron went missing from Ohio in 2004. His wallet turned up in New York City, but he was nowhere to be found. By the time his parents arrived…
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StrataRx: Data science and health(care)

StrataRx: Data science and health(care)

A call for data scientists, technologists, health professionals, and business leaders to convene.

By Mike Loukides and Jim Stogdill We are launching a conference at the intersection of health, health care, and data. Why? Our health care system is in crisis. We are experiencing epidemic levels of obesity, diabetes, and other preventable conditions while at the same time…
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Data Jujitsu: The art of turning data into product

Data Jujitsu: The art of turning data into product

Smart data scientists can make big problems small.

Having worked in academia, government and industry, I’ve had a unique opportunity to build products in each sector. Much of this product development has been around building data products. Just as methods for general product development have steadily improved, so have the ideas for developing data products. Thanks to large investments in the general area of…
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Strata Week: MIT and Massachusetts bet on big data

Strata Week: MIT and Massachusetts bet on big data

MIT and Massachusetts plan a big data initiative, Cisco predicts the Internet's big data future.

MIT announces a big data research center, Cisco predicts the future of the Internet (in zettabytes), and open data startup Junar announces seed funding.

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Knight Foundation grants $2 million for data journalism research

Knight Foundation grants $2 million for data journalism research

Michael Maness on why data science research matters and how the Knight News Challenge is adapting.

Big data and open data are attracting big notice: The Knight Foundation is funding data journalism research at Columbia and has chosen "data" as the next theme for its News Challenge.

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Data journalism research at Columbia aims to close data science skills gap

Emily Bell is entrusted with teaching the data journalists of the next century at Columbia University.

In this interview, the director of the Tow Center for Digital Journalism at Columbia University talks about the challenges and opportunities that face those who would practice data journalism in the 21st century. In particular, Emily Bell discusses the skills and mindset that are needed, including how a $2 million research grant will help support developing them.

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Profile of the Data Journalist: The Data News Editor

John Keefe learned data journalism from the online community and applied it to public radio.

John Keefe is a senior editor for data news and journalism technology at WNYC public radio, based in New York City, NY. He attracted widespread attention when an online map he built using available data beat the Associated Press with Iowa caucus results earlier this year.

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Four short links: 11 May 2012

Four short links: 11 May 2012

Flipping the Medical Classroom, Inclusion Haters, Information Leveling, and Ars Longa Vita Brevis

  1. Stanford Med School Contemplates Flipped Classroom — the real challenge isn’t sending kids home with videos to watch, it’s using tools like OceanBrowser to keep on top of what they’re doing. Few profs at universities have cared whether students learned or not.
  2. Inclusive Tech Companies Win The Talent War (Gina Trapani) — she speaks the truth, and gently. The original CNN story flushed out an incredible number of vitriolic commenters apparently lacking the gene for irony.
  3. Buyers and Sellers Guide to Web Design and Development Firms (Lance Wiggs) — great idea, particularly “how to be a good client”. There are plenty of dodgy web shops, but more projects fail because of the clients than many would like to admit.
  4. What Does It Mean to Say That Something Causes 16% of Cancers? (Discover Magazine) — hey, all you infographic jockeys with your aspirations to add Data Scientist to your business card: read this and realize how hard it is to make sense of a lot of numbers and then communicate that sense. Data Science isn’t about Hadoop any more than Accounting is about columns. Both try to tell a story (the original meaning of your company’s “accounts”) and what counts is the informed, disciplined, honest effort of knowing that your story is honest.
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