Crisis Text Algorithms
Nancy shares how an innovative algorithm transformed the way crisis counselors prioritize messages from teens in distress. By analyzing language patterns, her team discovered that common household items, like ibuprofen, signal higher risk than the word "suicide." This data-driven approach not only enhances response accuracy but also reveals broader trends in youth anxiety, showcasing the power of technology in mental health support.In this clip
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Masters of Scale
Your plan B needs a plan B, w/Crisis Text Line founder Nancy Lublin
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