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May 2016

Month

Scrabble analytics - Evidence Soup DATA FOR DECIDING

Grit isn’t the answer, plus Scrabble and golf analytics.

24 May 2016By
1. Poor kids already have grit: Educational Controversy, 2016 edition. All too often, we run with a sophisticated, research-based idea, oversimplify it, and run it into the ground. 2016 seems to be the year for grit. Jean Rhodes, who heads up the Chronicle of Evidence-Based Mentoring (@UMBmentoring) explains that grit is not a panacea for...
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photo of girls playing baseketball

How women decide, and Chief Cognitive Officers.

17 May 2016By
1. Do we judge women’s decisions differently? Cognitive psychologist Therese Huston’s book is How Women Decide: What’s True, What’s Not, and What Strategies Spark the Best Choices. It may sound unscientific to suggest there’s a particular way that several billion people make decisions, but the author doesn’t seem nonchalant about drawing specific conclusions. The book...
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magical thinking forest

Magical thinking about ev-gen, your TA is a bot, and Foursquare predicts stuff really well.

12 May 2016By
1. Magical thinking about ev-gen. Rachel E. Sherman, M.D., M.P.H., and Robert M. Califf, M.D. of the US FDA have described what is needed to develop an evidence generation system – and must be playing a really long game. “The result? Researchers will be able to distill the data into actionable evidence that can ultimately...
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flower black-eyed susan

Getting to evidence-based policy: Explainista, Randomista, or Mapista?

5 May 2016By
Three Ways of Getting to Evidence-Based Policy. In the Stanford Social Innovation Review, Bernadette Wright (@MeaningflEvdenc) does a nice job of describing three ideologies for gathering evidence to inform policy. Randomista: Views randomized experiments and quasi-experimental research designs as the only reliable evidence for choosing programs. Explainista: Believes useful evidence needs to provide trustworthy data...
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Museum musings.

Pondering the places where people interact with artificial intelligence: Collaboration on evidence-based decision-making, automation of data-driven processes, machine learning, things like that.

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