This post is based on an invited presentation I gave at the 2014 American Geophysical Union Fall Meeting in San Francisco. The talk was titled Applying Agnotology Based Learning in a MOOC to Counter Climate Misconceptions. In it, I explained the approach taken in our upcoming MOOC (Massive Open Online Course) titled Making Sense of Climate Science Denial.
For the last few years, I’ve been talking to people about agnotology-based learning. Usually they blink or stare at me with
Even starting off as far south as Ushuaia, it’s a long way to Antarctica – almost 1000 km of open water. We got a peak of the chart below whilst touring the bridge of the Corinthian – they have computer … Continue reading →
Today's insights go in different directions. The first one came in large part from a remark by John Platt on Technet's Machine Learning blog who puts this into words much better than I ever could....Given the successes of deep learning, researchers are trying to understand how they work. Ba and Caruana had a NIPS paper which showed that, once a deep network is trained, a shallow network can learn the same function from the outputs of the deep network. The shallow network can’t
I can’t believe that I am approaching my 7th year of neuroblogging. This year was so so. There were some good parts in the middle but it started and ended on crappier moments. However, I’m looking forward to some promising moments in 2015, including the publishing of Meathead: Unraveling the Athletic Brain–a book that I have […]
“We first make our habits, then our habits make us.” – John Dryden This may look good, sound good, and maybe even feel good at first, but it’s not serving you well in the end! I’d hear this thought in my head over and over and still not believe it. But it had persisted ever […]