evidence-based

Tag

decision bias in food-poverty policy
1. Biased analysis → Misunderstood cause-effect In Biased Ways We Look at Poverty, Adam Ozimek reviews new evidence suggesting that food deserts aren’t the problem, behavior is. His Modeled Behavior (Forbes) piece asks why the food desert theory got so much play, claiming “I would argue it reflects liberal bias when it comes to understanding...
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Our founder, Tracy Allison Altman, will talk about cognitive bias and behavioral economics for software design @ Papers We Love – Denver. Tversky and Kahneman’s classic “Judgment under Uncertainty: Heuristics and Biases” challenged conventional thinking about bias in decision making, inspiring new approaches to cognitive science, choice architecture, public policy, and the underlying technology. Join...
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man and woman about to feed each other
1. It’s tempting to think there’s a hierarchy for data: That evidence from high-quality experiments is on top at Level 1, and other research findings follow thereafter. But even in healthcare – the gold standard for the “gold standard” – it’s not that simple, says NICE in The NICE Way: Lessons for Social Policy and...
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“What counts as good evidence?” is a great conversation starter. The UK-based Alliance for Useful Evidence / Nesta offers seminars and publications to “explore what is realistic in terms of standards of evidence for social policy, programmes and practice.” Prompting discussion was a ‘provocation paper’, What Counts as Good Evidence?, by Sandra Nutley, Alison Powell,...
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evidence-based social innovation
Recent developments in evidence-based decision making in the nonprofit/social sector. Practical ways to discover and exchange evidence-based insights. References, resources, and links to organizations with innovative programs. Data-Driven is No Longer Optional Whether you’re the funder or the funded, data-driven management is now mandatory. Evaluations and decisions must incorporate rigorous methods, and evidence review is...
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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 discounting, experience weighting, social utility, predictive value, and other relevant...
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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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