{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fin-pursuit-of-development.simplecast.com%2Fepisodes%2Fmoore-_yp7NF3y","width":444,"version":"1.0","type":"rich","title":"Making evidence actually usable | Lindsey Moore","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/ef70bd2f-345f-4092-be33-5c4ca29e976c/b9995a53-78d1-4b11-b2be-7bfdbb1c56dd/ipod-season6-final-final-sandy.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/06fad6b4-ba9f-4bf2-a988-da441f144c7d\" height=\"200\" width=\"100%\" title=\"Making evidence actually usable | Lindsey Moore\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Dan Banik speaks with Lindsey Moore about how ethical AI and predictive analytics can transform decades of development evaluations into structured and searchable evidence for better decisions. They explore what it takes to build context-aware models grounded in clear taxonomies and local perspectives, enabling AI to strengthen institutional learning and advance equity."}