A list of safety checks to perform before starting a new data science project.
Read it!A framework for crafting storylines in talks: help the audience understand real life impacts, bridge the context to abstract or technical, technical deep dives exist to do something.
Read it!"Think of AI as the top of a pyramid of needs. Yes, self-actualization (AI) is great, but you first need food, water and shelter (data literacy, collection and infrastructure)."
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