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        "event_title":"CCMB Tuesday Popup: Biomedical Gen AI Learning Community",
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        "combined_title":"CCMB Tuesday Popup: Biomedical Gen AI Learning Community: Gen AI Assisted Scientific Writing",
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        "description":"AI tools for research are advancing at a pace that often outstrips traditional academic training. These tools are powerful, but using them effectively to produce high quality research is a skill in itself. So how do we use AI to move faster and accelerate biological discovery without sacrificing scientific rigor and our sense of engagement with our work?\n\nWe hope to build a community dedicated to keeping up with new tools, sharing ai-augmented research workflows what work well, and staying human in an AI world.  \n\nWe are launching the Biomedical Gen AI Learning Community!\n\nOpen to: Anyone in the UM bioinformatics and biomedical community - researchers, students, and staff. \n\nHow The Learning Community Works:\nOur biweekly 60-minute sessions are broken into three high-impact segments:\n\nThe Spotlight (20 mins): A volunteer demonstrates a specific workflow they\u2019ve integrated into their research. (Examples: Hypothesis generation, AI agent creation, GitHub management, or Literature synthesis).\n\nFoundational Knowledge (20 mins): A focused tutorial on the skills needed to direct AI tools and critically evaluate outputs. (Example: Key safety considerations when deploying agents or best practices for software management).\n\nThe Human Side (10 mins): An open, facilitated discussion on navigating our changing relationship with work, learning, and intellectual identity in the age of AI. (Example: The Engagement Gap: Talking about the 'boredom' of automation\u2014how to stay excited about a project when the AI is doing the heavy lifting?)\n\nThe Biomedical Gen AI Learning Community is sponsored by the Center for Computational Medicine and Bioinformatics (CCMB)",
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        "event_title":"Summer Deep Reading on Deep Learning (Transformer Circuits)",
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        "combined_title":"Summer Deep Reading on Deep Learning (Transformer Circuits): Multi-Part Journal Club - Hosted by Matthew James O'Meara, PhD",
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