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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.",
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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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        "event_title":"Cover Letters & Resumes for Jobs and Internships (for Graduate Students)",
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        "event_title":"Virtual Information Session",
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        "description":"\n\nJoin us for a virtual, hour-long info session on undergraduate programs at the University of Michigan Stamps School of Art & Design, including a presentation and Q&A with current students and the admissions team.\n\nInfo session times are Eastern US.\n\nVisit our Admissions Events page to learn more about additional upcoming events.",
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        "event_title":"Webinar: An Interdisciplinary Approach to Habitat Mapping",
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        "combined_title":"Webinar: An Interdisciplinary Approach to Habitat Mapping: Howard Veregin and Kirsten Rhude",
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        "description":"The St. Louis River estuary runs along the boundary between Minnesota and Wisconsin in the Duluth-Superior metro area at the headwaters to Lake Superior. Since its designation as a Great Lakes Area of Concern (AOC) in 1987, local land stewards have dedicated decades of remediation and restoration efforts toward improving water quality, removing legacy contaminants, and restoring fish and wildlife habitat. As the estuary approaches AOC delisting, a group of natural resource professionals is collaborating to develop a St. Louis River Habitat Plan to identify strategies for mitigating environmental stressors and prioritize opportunities for habitat restoration.\n\nIn response to a need to support the identification and prioritization of areas for future restoration and conservation, a 2023 science transfer project adapted a habitat mapping process developed by the Lake Superior Reserve to a much larger area encompassing 57,000 acres of wetlands and adjacent uplands spanning the lower twenty-one miles of the St. Louis River. Products included a final habitat map as well as an open source workflow that could be repeated in other geographic locations or used to update existing maps and observe change over time. In this webinar, the team will discuss the multi-phase approach they took to develop the habitat map, how it is being used, as well as lessons learned.",
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        "event_title":"MUNGER GRADUATE RESIDENCES 2025-2026",
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