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        "time_zone":"America\/Detroit",
        "event_title":"Courageous Conversations",
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        "combined_title":"Courageous Conversations: Presenter: Tina Jordan",
        "event_subtitle":"Presenter: Tina Jordan",
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        "event_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
        "event_subtitle":"Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "tags":["Data","Data Analysis","Data Collection","Data Curation","Data Linkage","Data Management","Data Science","Graduate","Professional Development","Survey Methodology","Survey Methods","Survey Research"],
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        "event_title":"Prompt Writing",
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        "event_title":"International Student Career Series - How to Build Your Network",
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        "combined_title":"International Student Career Series - How to Build Your Network",
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        "description":"You can\u2019t start networking unless you know where to begin! For many international students, the idea of approaching and interacting with professionals in the U.S. can feel intimidating \u2014 and that\u2019s okay. In this interactive workshop, you\u2019ll learn practical strategies forfinding and connecting with contacts, as well as how to conduct informational interviews. These conversations let you explore careers and companies by hearing directly from professionals about their day-to-day work \u2014 without the pressure of a formal job interview.Networking is all about building genuine relationships, and often those connections can lead to exciting opportunities down the road. This session is open to all students.For a head start, check out our website before attending to familiarize yourself with the basics.https:\/\/careercenter.umich.edu\/content\/networking-resources\u00a0This event's information is shown in Handshake as well as on the Happening @ Michigan calendar so that it will be seen by a larger number of U-M Students. You can only register to attend this event within Handshake. If you'd like to indicate that you'll be attending this event and see more details, please go to this webpage: https:\/\/umich.joinhandshake.com\/events\/1950079\/share_previewWe want to ensure full and equitable participation in our events. If an accessibility accommodation would promote your full participationin this event, please indicate your accommodation requirements via the link below, preferably at least 14 days prior to the program to ensure sufficient time for arranging your requested accommodation(s) or exploring suitable alternatives. If you have any questions regarding access to our programs, please don't hesitate to reach out to Jocelyn Gaydos at jmgaydos@umich.edu. Accessibility accommodation form:\u00a0https:\/\/forms.gle\/FmFn35ZLxJ8kvPfSA\u00a0#UCC",
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        "event_title":"Summer 2026 Workshop Series",
        "occurrence_title":"Unleash Your Data: Getting Started with U-M's Maizey GenAI Tool",
        "combined_title":"Summer 2026 Workshop Series: Unleash Your Data: Getting Started with U-M's Maizey GenAI Tool",
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        "event_type":"Workshop \/ Seminar",
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        "description":"Join CAEN for a series of workshops designed to transform how you research, teach, and work using the University of Michigan\u2019s secure GenAI services. Whether you are a beginner or looking to master \"Context Engineering,\" these sessions provide the frameworks and hands-on experience needed to lead in the age of AI. These workshops are open to the campus community.\u00a0\u00a0Secure & Private: All workshops utilize U-M\u2019s GenAI services, ensuring your prompts and data are never used to train external models.",
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        "time_zone":"America\/Detroit",
        "event_title":"CCMB Tuesday Popup: Biomedical Gen AI Learning Community",
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        "combined_title":"CCMB Tuesday Popup: Biomedical Gen AI Learning Community: \"Cross-platform Integration of AI Workflows for Research\" Presented by Pranjal Srivastava (Athey Lab)",
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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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        "tags":["Ai In Science And Engineering","Artificial Intelligence","Bioinformatics","biomedical","Biomedical Engineering","Gen Ai"],
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        "event_title":"Gallup Pond Canoe Clean-Up",
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        "combined_title":"Gallup Pond Canoe Clean-Up",
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