ENTRIES TAGGED "data science"

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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Big data in Europe

Big data in Europe

The organizers of Big Data Week discuss Europe's adoption of big data and data science.

European application of big data is ramping up, but its spread is different from the patterns seen in the U.S. In this interview, Big Data Week organizers Stewart Townsend and Carlos Somohano share the key distinctions and opportunities associated with Europe's data scene.

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Open source is interoperable with smarter government at the CFPB

Open source is interoperable with smarter government at the CFPB

The Consumer Financial Protection Bureau has aligned its open source policy with its mission.

CFPB CIO Chris Willey and acting deputy CIO Matthew Burton discuss the agency's new open source policy, government IT, security, programming in-house, the myths around code-sharing, and big data.

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Data's next steps

RedMonk's Steve O'Grady weighs in on data's pressing issues.

Redmonk analyst Steve O'Grady discusses the demand for data scientists, the problem of using data to asking the right questions, and why you shouldn't rush into a NoSQL investment.

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Automated science, deep data and the paradox of information

Automated science, deep data and the paradox of information

Be aware of the just-so data stories that sound reasonable but cannot be conclusively proven.

Bradley Voytek: "Our goal as data scientists should be to distill the essence of the data into something that tells as true a story as possible while being as simple as possible to understand."

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Designing great data products

Designing great data products

The Drivetrain Approach: A four-step process for building data products.

Data scientists need a systematic design process to build increasingly sophisticated products. That's where the Drivetrain Approach comes in.

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