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        "event_title":"Streamline Tasks & Amplify Learning with Instructor Tools",
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        "combined_title":"Streamline Tasks & Amplify Learning with Instructor Tools",
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        "description":"Streamline Tasks & Amplify Learning with Instructor Tools\r\n\r\nReimagine your teaching and course design with U-M\u2019s innovative suite of generative AI Instructor Tools, powered by Maizey. This workshop introduces five innovative tools\u2014each built to streamline your workflow, enrich student learning, and enhance your effectiveness as an educator. \r\n\r\nIn this workshop, you\u2019ll get hands-on experience with 5 GenAI Instructor Tools:  \r\n\r\nAI Prompt Coach: Learn to craft effective prompts and get the best from any AI tool, every time.\r\n\r\nWolverine Course Design Assistant: Plan, build, and refine engaging courses with expert guidance rooted in instructional best practices and learning science.\r\n\r\nWolverine Learning Objectives Assistant: Create measurable, impactful learning objectives\u2014quickly and confidently.\r\n\r\nWolverine Letter of Recommendation Assistant: Save time with AI-crafted, personalized letters that showcase each applicant\u2019s unique qualities.\r\n\r\nWolverine Multiple Choice Questions Assistant: Develop scenario-based assessment questions with rich feedback to support deep student understanding.\r\n\r\nJoin us to explore strategies for integrating these tools into your daily practice. Whether you\u2019re designing a new course, writing recommendations, or rethinking assessments, you\u2019ll leave with actionable skills\u2014and inspiration\u2014to use these tools to support teaching & learning.\r\n\r\nWorkshop Outline:\r\n\r\n-Instructor tools introduction\r\n-Learn the tools with hands-on practice\r\n--AI Prompt Coach\r\n--Wolverine Course Design Assistant\r\n--Wolverine Learning Objectives Assistant\r\n--Wolverine Multiple Choice Questions Assistant\r\n--Wolverine Letter of Recommendation Assistant\r\n-Resources\r\n\r\nAudience: Instructors, Staff\r\n\r\nRecommended Prerequisites:\r\n\r\nIntroduction to GenAI: Unpacking Key Concepts (Mini Workshop)\r\n  \u2014 OR \u2014\r\nGenerative AI Basics (Full Workshop)\r\nCritical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop)\r\n  \u2014 OR \u2014\r\nGenerative AI Basics (Full Workshop)\r\nFrom Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop)\r\n  \u2014 OR \u2014\r\nGenerative AI with U-M GPT (Full Workshop)",
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        "tags":["Academic Technology At Michigan","Genai","Generative Ai","Instructor Tools","Maizey"],
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        "time_start":"12:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Up, Up, And Away: A History of Ballooning in America",
        "occurrence_title":"",
        "combined_title":"Up, Up, And Away: A History of Ballooning in America",
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        "event_type_id":"7",
        "description":"This exhibit examines the history of balloon flight in the United States from Blanchard\u2019s first ascension to the early twentieth century. In the age of bird\u2019s-eye views, which imagined a perspective on American cities and towns from high in the air, balloonists were the only people who actually had the opportunity to see what the growing nation looked like from above. As the nineteenth century progressed, ballooning became a lucrative (if dangerous) business, as crowds gathered to watch balloons launch, and to see aeronauts risk their lives high in the air. Over time, the image of the hot air balloon proliferated in American print culture, being used to sell goods ranging from thread to canned beef. We hope that this exhibit conveys some of the thrill that would have come from seeing people fly for the first time.\n\nOn view May 22-August 28, weekdays from 12-4 pm.",
        "occurrence_notes":"Arrive at our North Entrance to check-in. This entrance is accessible and an elevator is available to move between floors.",
                "guid":"148371-21904069@events.umich.edu",
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        "tags":["american culture","american history","Exhibit","Exhibition","Free","Fun","history","Humanities","In Person","libraries"],
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    {
        "datetime_modified":"20260506T165253",
        "datetime_start":"20260630T120000",
        "datetime_end":"20260630T133000",
        "has_end_time":1,
        "date_start":"2026-06-30",
        "date_end":"2026-06-30",
        "time_start":"12:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Virtual Pre-Law Information Sessions",
        "occurrence_title":"",
        "combined_title":"Virtual Pre-Law Information Sessions: For students who have been admitted",
        "event_subtitle":"For students who have been admitted",
        "event_type":"Livestream \/ Virtual",
        "event_type_id":"24",
        "description":"The Pre-Law Primer Sessions are designed for incoming students interested in exploring the pre-law path at U-M. We recommend that students attend their scheduled Virtual Academic Advising Session before attending a Pre-Law Primer Session.",
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        "tags":["Advising","Newnan","Newnan Academic Advising","Newnan Lsa Academic Advising Center","Newnan Lsa Pre-law","Pre Law"],
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        "sponsors":[
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        "event_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice",
        "occurrence_title":"",
        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
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        "event_type":"Class \/ Instruction",
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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\/.",
        "occurrence_notes":"Registration and payment are required a minimum of two weeks prior to the start of the course.",
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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"],
        "website":"https:\/\/tinyurl.com\/uts88yaw",
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        "time_zone":"America\/Detroit",
        "event_title":"Leading Positive Workplace Cultures",
        "occurrence_title":"",
        "combined_title":"Leading Positive Workplace Cultures: Presenter: Varied",
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        "tags":["Culture","Leadership","Self Development"],
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