Category: Applied research

Open Science Goes to the Antarctic–Well, Nearly

Have you ever met a Professor of Seaweed? No, nor had I, but now I have: Catriona Hurd. More about her in a moment. I’m just back from two highly enjoyable days visiting IMAS, the Institute of Marine and Antarctic

Memories fade..but something remains

This isn’t a statistics post–it’s about Bob’s neuroscience research.  Most long-term memories are ‘forgotten’–meaning that recall becomes less and less likely.  Psychologists have long known, though, that forgetting is complex, and that fragments of a memory can remain.  For example,

Brain Stimulation – Can we trust the empirical record?

Brain stimulation research has been exploding in neuroscience.  First came the rapid adoption of Transcranial Magnetic Stimulation (TMS), a technique in which powerful magnetic fields are used to create inductive currents within the skull.  More recently, Direct Current Stimulation (DCS)

Open Science is not all the same: What archaeology can teach us

There’s no simple dot point way to adopt Open Science and improve the trustworthiness of science. A fascinating story from archaeology illustrates that reality nicely. First, the story. Archaeologists have long studied when the out-of-Africa spreading of modern humans first

NIH asks journals to make sure we get the whole story

The Open Science credo is “Get the whole story”–we can only evaluate the claims made from scientific data when we know the whole context of how that data was generated.  For example, finding a large effect of a new drug

NHST: The double whammy!

When I gave a talk at the HFESA conference, I started of course with an example of the damage done by NHST. My chosen article describes three examples in the field of road safety of how reliance on statistical significance

What is (are) Human Factors?

One of the great things about working in statistics is that you can play in other people’s backyards. After all, just about every scientific discipline uses statistics. So I enjoyed giving an invited talk at the recent annual conference of

What Pierre says, from Paris

Pierre Dragicevic (that’s his pic of a scary die!) is a super-interesting and enthusiastic researcher in HCI (Human-Computer Interaction) based at the Université Paris-Sud, an hour or so south of Paris. He is a researcher in the AVIZ Visual Analytics Project. He hosts

Make it stick–the Cliff’s Notes version

Learning statistics can be a challenge.  Using effective study habits can make that challenge more manageable.  Unfortunately, many students ignore or are unaware of the best study habits and instead adopt approaches that are less than optimal. In the new

MoE, the Margin of Error: What the New York Times says

The title of this NYT article is a good summary: “When You Hear the Margin of Error Is Plus or Minus 3 Percent, Think 7 Instead”. The NYT piece is based on this article by famous statistician (imagine that!) Andrew

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