- Robots Will Take Our Jobs (Wired) — I agree with Kevin Kelly that (in my words) software and hardware are eating wetware, but disagree that This is not a race against the machines. If we race against them, we lose. This is a race with the machines. You’ll be paid in the future based on how well you work with robots. Ninety percent of your coworkers will be unseen machines. Most of what you do will not be possible without them. And there will be a blurry line between what you do and what they do. You might no longer think of it as a job, at least at first, because anything that seems like drudgery will be done by robots. Civilizations which depend on specialization reward work and penalize idleness. We already have more people than work for them, and if we’re not to be creating a vast disconnected former workforce then we (society) need to get a hell of a lot better at creating jobs and not destroying them.
- Why Workers are Losing the War Against Machines (The Atlantic) — There is no economic law that says that everyone, or even most people, automatically benefit from technological progress.
- Early Quora Design Notes — I love reading post-mortems and learning from what other people did. Picking a starting point is important because it will be the axis the rest of the design revolves around — but it’s tricky and not always the first page in the flow. Ideally, you should start with the page that serves the most significant goals of the product.
- Free Data Science Books — I don’t mean free as in some guy paid for a PDF version of an O’Reilly book and then posted it online for others to use/steal, but I mean genuine published books with a free online version sanctioned by the publisher. That is, “the publisher has graciously agreed to allow a full, free version of my book to be available on this site.” (via Stein Debrouwere)
ENTRIES TAGGED "data science"
We're launching an investigation into in-memory data technologies.
Silicon Beats Meat, Workers against Machines, Quora Design Notes, and Free Data Science Books
Airlines face a very costly data problem. A new competition looks to crack it.
Data science and technology give us the tools to revolutionize health care. Now we have to put them to use.
Matching the missing to the dead involves reconciling two national databases.
A call for data scientists, technologists, health professionals, and business leaders to convene.
Smart data scientists can make big problems small.
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.
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.
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.