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        "event_title":"Marianetta Porter: Breath, Fragment, Return",
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        "combined_title":"Marianetta Porter: Breath, Fragment, Return",
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        "description":"\n\nCurated by Juana Williams, this exhibition examines how Marianetta Porter uses everyday objects, fragments, and embodied memory to make absence an active, living presence while challenging linear histories. Rooted in African American experience, her practice treats what is discarded, overlooked, or missing not as loss, but as a source of meaning that continues to act on the present. Through her process and materials, Porter reveals how memory is carried in the body and embedded in ordinary things. Her work also resists forward-moving notions of time, instead presenting a diasporic temporality in which past, present, and lived experience circulate together through repetition, touch, and recall. In doing so, Porter proposes a vision of history as unfinished, memory as active, and absence as a force that sustains connection and shapes the present. \n\nMarianetta Porter is a visual artist and product designer whose research and creative practice are grounded in the study of African American history, culture, and representation. Through the language of visual art, she draws connections between historic memory and contemporary African American life, giving voice to the history of the African diaspora while acknowledging its central influence on the birth and flourishing of American culture.\n\nHer work has been exhibited nationally at institutions such as the Indianapolis Museum of Art, the Chicago Museum of Science and Industry, the Spoleto Festival, the Harriet Tubman Museum, and the Hampton University Museum of Art.\n\nShe earned her Bachelor of Fine Arts from Hampton University and her Master of Fine Arts from the University of Michigan. The recipient of numerous awards, Porter is Professor Emeritus at the University of Michigan\u2019s Stamps School of Art and Design.\n\nJuana Williams is a curator and writer whose work explores the intersections of cross-border intellectual history, cultural memory, and identity formation as expressed through modern and contemporary art from Africa and its diasporas.\n\nWilliams has held curatorial and academic appointments at organizations including the Detroit Institute of Arts, Library Street Collective, Wayne State University, and the Urban Institute for Contemporary Art. Her curatorial projects have been presented at institutions across the United States and France, including the Grand Rapids Art Museum, the Muskegon Museum of Art, Palais de Tokyo (Paris), and the Westmoreland Museum of American Art. In addition, she has presented lectures at various museums and universities and contributed to numerous exhibition catalogs. Her work has been written about in publications such as Artsy, Beaux Arts Magazine, Cond\u00e9 Nast Traveller, Michigan Chronicle, and Observer. Williams holds a BA in Fine Art and an MA in Art History from Wayne State University.",
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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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        "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":"You're invited to an unforgettable\u00a04th of July Lake Party",
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