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        "event_title":"Beginner AI Bundle",
        "occurrence_title":"Beginner AI Bundle - Navigating AI, Using AI, and Prompt Writing",
        "combined_title":"Beginner AI Bundle: Beginner AI Bundle - Navigating AI, Using AI, and Prompt Writing",
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        "description":"This is a bundle of three of our workshops -- Getting Started with AI at U of M, Using AI for Common Work Tasks, and Prompt Writing. This workshop is designed for LSA staff who are beginning to explore AI on campus\n",
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        "event_title":"Natural Language Processing with R",
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        "combined_title":"Natural Language Processing with R: A noncredit course presented by Robyn Ferg",
        "event_subtitle":"A noncredit course presented by Robyn Ferg",
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        "description":"Founded 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\nClasses are open for registration.\nYou do not have to be affiliated with the University to attend. \nRegistration and payment are required a minimum of two weeks prior to the start of the class. \n\nJuly 20-30, 2026 (M T TH: Live instruction; W: Video instruction)\n10:00am-11:30am\nNatural Language Processing with R\nPresented by Robyn Ferg\nCourse Fee: $1,200\n\nIn this two-week course, students will learn a variety of natural language processing methods for analyzing and extracting meaning from text data. The course will start with an introduction to text data, including text preprocessing and exploratory methods. The topics that follow will include machine learning models used for topic modeling, clustering, classification, sentiment analysis, and word embeddings. Students will also be introduced to web scraping. Considerations to both long and short texts of various subject matter. Class examples will be demonstrated primarily in R. This course assumes a bachelors-level background in Statistics or related field and knowledge of R or Python; no prior knowledge of text analysis is assumed.\n\nRobyn Ferg is a senior statistician at Westat. Her doctoral and postdoctoral research focused on developing methods for extracting insights from social media data. She has taught graduate and short courses at the Joint Program in Survey Methodology (University of Maryland) and given talks on text analysis at the Census Bureau, University of Maryland, University of Michigan, Michigan State University, and several national and international conferences. She has published original research on this topic in several peer reviewed journals. She has a PhD in Statistics from the University of Michigan.",
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        "event_title":"Beyond Balance: Practical Tools for Career-Driven Caregivers",
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        "event_title":"Going Deeper into Questionnaire Design with Alternative Methods and Tools",
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        "combined_title":"Going Deeper into Questionnaire Design with Alternative Methods and Tools: A noncredit course presented by Pamela Campanelli",
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        "description":"Founded 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\nClasses are open for registration.\nYou do not have to be affiliated with the University to attend. \nRegistration and payment are required a minimum of two weeks prior to the start of the class. \n\nJuly 20-23, 2026 (M-Th)\n12:00pm-4:00pm\nGoing Deeper into Questionnaire Design with Alternative Methods and Tools\nPresented by Pamela Campanelli\nCourse Fee: $1,200\n\nThis course assumes you have some level of experience with questionnaire design. It goes beyond looking at question comprehension purely from a cognitive side. The linguistic side will be explored, including the use of online tools. Factual questions will be revisited but with the goal of exploring different types of respondent memory problems. Solutions include basic aids to improve memory and alternative methods: decomposition, calendars, event history calendars, internet enabled devices, wearables, apps and sensors, and additional tasks on mobile phones. Also covered are the effects of telescoping and quasi-facts. Subjective questions will be revisited to understand attitude inconsistency and to cover the popular topic of satisfaction and other customer experience metrics. Alternatives methods to attitude measurement will also be examined: factorial surveys and multi-item scales. The course concludes with multi-cultural issues raised by Rinc\u00f3n and a mini appendix on ways to translate survey questions and evaluate the translation.\n\nThe course will be interactive with the goal of making it as close to in-person training as possible. There also will be workshops throughout. Dr. Campanelli is happy to chat with participants about their own questionnaires.\n\nWhy take this course?\n\nYou will get to learn about:\n\nThe deeper issues that affect factual and subjective questions.\nA broader set of resources available to solve these issues (including alternative methods and tools).\n* Please note that AI is not included in the alternative tools that will be explored in this course's curriculum.\n\nPrerequisite: An introductory course in questionnaire design or equivalent experience.\n\nPamela Campanelli is a survey methods specialist, chartered statistician, fellow of the academy of social sciences and an international trainer, researcher and consultant who runs her own business (http:\/\/www.thesurveycoach.com\/). Her background is in social statistics, survey methodology, and psychology with a special interest in the study of survey error and data quality focusing on questionnaire design, question testing strategies, interviewing techniques, sampling and weighting, survey analysis, and mixed-mode designs. In addition to providing consultancy, conducting research, writing papers, reviewing for journals, advising committees, Dr. Campanelli\u2019s focuses on providing training courses. She is committed to high quality learning. She believes in delivering courses that are lively and engaging, foster an informal and interactive atmosphere, communicate concepts in a straightforward and accessible way, illustrate the material through the use of \u2018real life\u2019 examples, and provide workshops to put theory into practice.",
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        "event_title":"Up, Up, And Away: A History of Ballooning in America",
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