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Humans+AI: Collaborate, don't collide

How to work with AI

presentation science

Free beer! and the “Science of X”.

1. Free beer for a year for anyone who can work perfume, velvety voice, and ‘Q1 revenue goals were met’ into an appropriate C-Suite presentation. Prezi is a very nice tool enabling you to structure a visual story, without forcing a linear, slide-by-slide presentation format....
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Bad logic=bad decisions, evidence-based youth programs, and a fresh hell of confusing numbers.

1. Bad logic → Bad arguments → Bad decisions The Book of Bad Arguments is a simple explanation of common logical flaws / barriers to successful, evidence-based decisions. This beautifully illustrated work by Ali Almossawi (@AliAlmossawi) should be on everyone’s bookshelf. Now available in several...
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Mistakes we make, Evidence Index, and Lebron vs Steph.

1. Mistakes we make when sharing insights. We’ve all done this: Hurried to share valuable, new information and neglected to frame it meaningfully, thus slowing the impact and possibly alienating our audience. Michael Shrage describes a perfect example, taken from The Only Rule Is It...
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Scrabble analytics - Evidence Soup DATA FOR DECIDING

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

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...
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photo of girls playing baseketball

How women decide, and Chief Cognitive Officers.

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...
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magical thinking forest

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

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...
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flower black-eyed susan

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

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...
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photo of stadium seats

Masters of self-deception, rapid systematic reviews, and Gauss v. Legendre.

1. Human fallibility → Debiasing techniques → Better science Don’t miss Regina Nuzzo’s fantastic analysis in Nature: How scientists trick themselves, and how they can stop. @ReginaNuzzo explains why people are masters of self-deception, and how cognitive biases interfere with rigorous findings. Making things worse...
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Analytics of presentations, Game of Thrones graph theory, and decision quality.

1. Edges, dragons, and imps. Network analysis reveals that Tyrion is the true protagonist of Game of Thrones. Fans already knew, but it’s cool that the graph confirms it. This Math Horizons article is a nice introduction to graph theory: edges, betweeness, and other concepts....
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evidence-based social innovation

‘Evidence-based’ is a thing. It was a very good year.

2015 was kind to the ‘evidence-based’ movement. Leaders in important sectors – ranging from healthcare to education policy – are adopting standardized, rigorous methods for data gathering, analytics, and decision making. Evaluation of interventions will never be the same. With so much data available, it’s...
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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.

Recent Articles

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20 June 2023
Stolen cars and AI ‘moral self-correction’
person in silhouette with orange background, pondering AI input for an evidence based decision
9 May 2023
Can you trust AI with your next decision? Part 3 in a series on fact-checking/citation
image generated by bing image creator bottle on apothecary shelf
25 April 2023
How is generative AI referencing sources? Part 2 in our series
22 April 2023
Sneaky STEM: Inspire learning with immersive experiences
15 March 2023
Can AI replace your CEO?
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