- What Thomas Hardy Taught Me — In educational research, perhaps the greatest danger lies in thinking “that which I cannot measure is not real.” The disruption fetishists have amplified this danger, now evincing the attitude “teaching that cannot be said to lead to the immediate acquisition of rote, mechanical skills has no value.” But absolutely every aspect of my educational journey — as a student, as a teacher, and as a researcher — demonstrates the folly of this approach to learning. (via Dan Meyer)
- Why Anti-Money Laundering Laws and Poorly Designed Copyright Laws Are Similar and Should be Revised (Joi Ito) — Just like with the Internet, weaknesses in networks like the blockchain propagate to countries and regions where privacy risks to users could cause significant risks to human rights workers, journalists, or anyone who questions authority. The conversation on creating new AML and KYC laws for new financial systems like bitcoin and blockchain needs to be a global one.
- Secrets, Lies, and Account Recovery: Lessons from the Use of Personal Knowledge Questions at Google — Adrian Colyer summarizes a paper from Google. Using a crowdsourcing service, the authors asked 1,000 users to answer the ‘Favourite Food’ and ‘Father’s middle name’ questions. This took less than a day and cost $100. […] Using a single guess, it turns out, you have a 19.7% chance of guessing an English-speaking users’ answer to the favourite food.
- Clever MEMS 3D Object Tracking — early Oculus engineer has invented a nifty way to track a tagged object in 3D space. Worth reading for the description of how it works.
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Data science: Where are we going? - DJ Patil, the U.S. government's first Chief Data Scientist, looks at the future of data science at Strata + Hadoop World 2015 in San Jose.
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