Humans+AI: Collaborate, don't collide

How to work with AI

1. Management research: Alchemy → Chemistry? McKinsey’s Michael Birshan and Thomas Meakin set out to “take a data-driven look” at the strategic moves of newly appointed CEOs, and how those moves influenced company returns. The accompanying podcast (with transcript), CEO transitions: The science of success,...
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1. Behavioral economics → Healthcare innovation. Jaan Sidorov (@DisMgtCareBlog) writes on the @Health_Affairs blog about roadblocks to healthcare innovation. Behavioral economics can help us truly understand resistance to change, including unconscious bias, so valuable improvements will gain more traction. Sidoro offers concise explanations of hyperbolic...
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1. Systematic review: Does business coaching make a difference? In PLOSOne, Grover and Furnham present findings of their systematic review of coaching impacts within organizations. They found glimmers of hope for positive results from coaching, but also spotted numerous holes in research designs and data...
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1. What new analytics are fueling baseball decisions? [I spoke at Nerd Nite SF about recent developments in baseball analytics. -Tracy Allison Altman, Ed.] Highlights from my talk: – Data science and baseball analytics are following similar trajectories. There’s more and more data, but people...
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monitor showing code
1. Confusing correlation with causation is not the Cardinal Sin of data science, say Gregory Piatetsky (@kdnuggets) and Anmol Rajpurohit (@hey_anmol): It’s overfitting. Oftentimes, researchers “test numerous hypotheses without proper statistical control, until they happen to find something interesting and report it. Not surprisingly, next...
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People are recognizing the critical need for meta-research, or the ‘science of science’. One focus area is understanding whether research produces desired outcomes, and identifying how to ensure that truly happens going forward. Research impact assessment (RIA) is particularly important when holding organizations accountable for...
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1. Academics use crazy tricks for clickbait. Turn to @TheWinnower for an insightful analysis of academic article titles, and how their authors sometimes mimic techniques used for clickbait. Positively framed titles (those stating a specific finding) fare better than vague ones: For example, ‘smoking causes...
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1. Know someone who effectively promotes evidence? Nominations are open for the 2016 John Maddox Prize for Standing up for Science, recognizing an individual who promotes sound science and evidence on a matter of public interest, facing difficulty or hostility in doing so. Researchers in...
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1. Spending $ on brain training isn’t so smart. It seems impossible to listen to NPR without hearing from their sponsor, Lumosity, the brain-training company. The target demo is spot on: NPR will be the first to tell you its listeners are the “nation’s best...
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1. Open Innovation can up your game. Open Innovation → Better Evidence. Scientists with an agricultural company tell a fascinating story about open innovation success. Improving Analytics Capabilities Through Crowdsourcing (Sloan Review) describes a years-long effort to tap into expertise outside the organization. Over eight...
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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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How is generative AI referencing sources? Part 2 in our series
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Can AI replace your CEO?
Tell us how you're feeling about AI

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