{ "103710-21807672": { "datetime_modified":"20230302T063113", "datetime_start":"20230215T110000", "datetime_end":"20230215T130000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"11:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"State of Michigan Virtual Career Fair", "occurrence_title":"", "combined_title":"State of Michigan Virtual Career Fair", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"Register to join this virtual job fair and talk with recruiters from several departments. Learn how you can start your career in public service with the State of Michigan. We have a wide variety of open jobs. You can work with us in the industry you love, have an impact in your community, and enjoy quality of life with our comprehensive benefits package!", "occurrence_notes":null, "guid":"103710-21807672@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/103710", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21807672 } , "102933-21805564": { "datetime_modified":"20230106T083207", "datetime_start":"20230215T110000", "datetime_end":"20230215T150000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"11:00:00", "time_end":"15:00:00", "time_zone":"America\/Detroit", "event_title":"Virtual Engineering Career Fair", "occurrence_title":"", "combined_title":"Virtual Engineering Career Fair", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"The Virtual Engineering Career Fair will be held on Wednesday, February 15 from 11 AM-3 PM ET. This event is intended to help employers connect with students studying programs offered through the College of Engineering, as well as LSA Computer Science and Data Science students for full-time, internship and co-op employment opportunities.\r\n\r\nStudent sign ups are open 02\/13\/2023, 7:00pm - 02\/15\/2023, 11:00am EST\r\n\r\nFor more information, visit the Events section of Engineering Careers, by 12twenty.\r\n\r\nThis is a College of Engineering event.", "occurrence_notes":null, "guid":"102933-21805564@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/102933", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":1, "livestream_type":"other", "livetream_require_login":0, "livestream_id":"", "livestream_link":"", "cost":"", "tags":["Career","Graduate Students","Michigan Engineering","Undergraduate Students"], "website":"http:\/\/career.engin.umich.edu\/", "sponsors":[ { "group_name":"Engineering Career Resource Center", "group_id":"3172", "website":"http:\/\/career.engin.umich.edu\/" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21805564 } , "103320-21807024": { "datetime_modified":"20230112T144027", "datetime_start":"20230215T113000", "datetime_end":"20230215T130000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"11:30:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"February Lunch & Learn | Host Leadership: A Fresh Approach to Navigating Difficult Conversations", "occurrence_title":"", "combined_title":"February Lunch & Learn | Host Leadership: A Fresh Approach to Navigating Difficult Conversations", "event_subtitle":"", "event_type":"Presentation", "event_type_id":"16", "description":"What is \u201chost leadership\u201d and how is this novel mindset well-suited to the complex demands of today\u2019s workplace? 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Presentations will include speakers from the Center for Educational Outreach (CEO), Ross School of Business (Ross), Center for Education Design, Evaluation, and Research (CEDER) and more. \r\n\r\nWHEN: Wednesday, February 15, 2023 \r\nWHERE: Palmer Commons (4th Floor) \r\n\r\nThis event is open to all. Please feel free to pick and choose session based on your availability, leaving early or coming late. These sessions will be not be recorded, but the resources will be shared out to the full RSVP list. \r\n\r\nHere is the agenda: \r\n\r\nSession One: Presentation & Q&A (11:30 - 12:30 PM) \r\nOption 1: Refresh & Refine Pre-College Program Evaluation & Assessment \r\nOption 2: Leveraging Student Application Data Strategically \r\n\r\nLunch (12:30 - 1:30 PM) Table Topics will be provided to encourage team-building and networking \r\n\r\nSession Two: Facilitated Group Activity (1:30 - 2:30 PM) \r\nOption 1: Pre-College Program Evaluation & Assessment \r\nOption 2: Student Application Data", "occurrence_notes":null, "guid":"104210-21808647@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/104210", "building_id":"1005047", "building_name":"Palmer Commons", "campus_maps_id":"188", "room":"GREAT LAKES", "location_name":"Palmer Commons", "has_livestream":0, "cost":"", "tags":["Admissions","Camp","Center For Educational Outreach","Community Service","Culture","Detroit","Diversity","Diversity Equity and Inclusion","Education","Faculty","first-generation","Food","Free","Inclusion","Networking","Professional Development","Workshop"], "website":"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLScjWYhkTOZ_sDyYrwnxV3poaWnW32XDSWlksHOsgYWz-8u06Q\/viewform?usp=sf_link", "sponsors":[ { "group_name":"Center for Educational Outreach", "group_id":"3607", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2023\/01\/event_104210_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2023\/01\/event_104210_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2023\/01\/event_104210_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2023\/01\/event_104210_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2023\/01\/event_104210_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large_lightbox\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_list\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2023\/01\/event_104210_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2023\/01\/event_104210_original-1.png" }, "occurrence_count":1, "first_occurrence":21808647 } , "101974-21803061": { "datetime_modified":"20230116T102209", "datetime_start":"20230215T120000", "datetime_end":"20230215T132000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"12:00:00", "time_end":"13:20:00", "time_zone":"America\/Detroit", "event_title":"CCPS Lecture. Other Kinds of Beauty: Aesthetic Valuation and the Making of Cities in Eastern Europe", "occurrence_title":"", "combined_title":"CCPS Lecture. Other Kinds of Beauty: Aesthetic Valuation and the Making of Cities in Eastern Europe: Anastasiya Halauniova, Postdoctoral Researcher, Centre for Sociological Research, Katholieke Universiteit Leuven (Belgium)", "event_subtitle":"Anastasiya Halauniova, Postdoctoral Researcher, Centre for Sociological Research, Katholieke Universiteit Leuven (Belgium)", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Urban beautification projects are often used to justify political agendas. Embellished with colorful fa\u00e7ades, even the most deceitful fantasy about the past, present, and future might appear attractive. But what makes beauty such a powerful and politically efficient notion? And what happens when beauty fails to convince us? In this talk, Anastasiya Halauniova will expose the complex relations between architecture's aesthetic resonance and the political work it performs. By focusing on competing valuations of urban \u2018beauty\u2019 and \u2018ugliness\u2019 in Wroc\u0142aw (Poland) and Klaip\u0117da (Lithuania), she shows the emotional, symbolic, and material labor required to turns buildings into either valuable \u2018icons\u2019 or worthless \u2018eyesores\u2019 used to legitimize different historical narratives.\r\n \r\nAnastasiya Halauniova is a postdoctoral researcher at the Centre for Sociological Research at Katholieke Universiteit Leuven, Belgium. She received her Ph.D. in sociology from the University of Amsterdam in 2022, specializing on the role of maintenance and repair of built environments in shaping urban political visions, particularly in the context of postwar reconstructions and more recently on climate change adaptation.\r\n\r\nThis lecture will be presented in person in 555 Weiser Hall and on Zoom. Webinar registration required at https:\/\/myumi.ch\/Awz3w\r\n \r\nIf there is anything we can do to make this event accessible to you, please contact us at weisercenter@umich.edu. Please be aware that advance notice is necessary as some accommodations may require more time for the university to arrange.", "occurrence_notes":"This hybrid event is also available as a Zoom webinar. 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When registering for this session please use the same email address that you would use when\/if you apply for the Disney College Program.", "occurrence_notes":null, "guid":"104334-21808837@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/104334", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21808837 } , "102497-21804135": { "datetime_modified":"20221221T172454", "datetime_start":"20230215T120000", "datetime_end":"20230215T130000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"Getting to the Heart of the Matter: Pre-Health Personal Statement Workshop", "occurrence_title":"", "combined_title":"Getting to the Heart of the Matter: Pre-Health Personal Statement Workshop", "event_subtitle":"", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"An effective personal statement lives at the heart of your medical or professional health school application. 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He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an associate editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology.\r\n\r\nThe Evolution of the Use of Models in Survey Sampling\r\n\r\nThe use of models in survey estimation has evolved over the last five (or more) decades. This talk will trace some of the developments over time and attempt to review some of the history. Consideration of models for estimating descriptive statistics began as early as the 1940's when Cochran and Jessen proposed linear regression estimators of means. These were early examples of model-assisted estimation since the properties of the Cochran-Jessen estimators were calculated with respect to a random sampling distribution. Model-thinking was used informally through the 1960's to form ratio and linear regression estimators that could in some applications reduce design variances.\r\n\r\nIn a 1963 Australian Journal of Statistics paper, Brewer presented results for a ratio estimator that were entirely based on a super population model. Royall (Biometrika 1970 and later papers) formalized the theory for a more general prediction approach using linear models. Since that time, the use of models is ubiquitous in the survey estimation literature and has been extended to nonparametric, empirical likelihood, Bayesian, small area, machine learning, and other approaches. There remains a considerable gap between the more advanced techniques in the literature and the methods commonly used in practice.\r\n\r\nIn parallel to the model developments, the design-based, randomization approach was dominating official statistics in the US largely due to the efforts of Morris Hansen and his colleagues at the US Census Bureau. In 1937 Hansen and others at the Census Bureau designed a follow-on sample survey to a special census of the employed and partially employed because response to the census was incomplete and felt to be inaccurate. The sample estimates were judged to be more trustworthy than those of the census itself. This began Hansen\u2019s career-long devotion to random sampling as the only trustworthy method for obtaining samples from finite populations and for making inferences.\r\n\r\nModel-assisted estimation, as discussed in the 1992 book by S\u00e4rndal, Swensson, and Wretman is a type of compromise where models are used to construct estimators while a randomization distribution is used to compute properties like means and variances. This thinking has led to the popularity of doubly robust approaches where the goal is to have estimators with good properties with respect to both a randomization and a model distribution.\r\n\r\nThe field has now reached a troubling crossroads in which response rates to many types of surveys have plummeted and nonprobability datasets are touted as a way of obtaining reasonable quality data at low cost. Sophisticated model-based mathematical methods have been developed for estimation from nonprobability samples. In some applications, e.g., administrative data files that are incomplete due to late reporting, these methods may work well. However, in others the quality of nonprobability sample data is irremediably bad as illustrated by Kennedy in her 2022 Hansen lecture. In some situations, we are back in Morris' 1937 situation where standard approaches no longer work. Methods are needed to evaluate whether acceptable estimates can be made from the most suspect data sets. 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