{ "119248-21842469": { "datetime_modified":"20240229T114227", "datetime_start":"20240603T083000", "datetime_end":"20240603T163000", "has_end_time":1, "date_start":"2024-06-03", "date_end":"2024-06-03", "time_start":"08:30:00", "time_end":"16:30:00", "time_zone":"America\/Detroit", "event_title":"Introduction to Data Science and AI Summer Academy 2024", "occurrence_title":"", "combined_title":"Introduction to Data Science and AI Summer Academy 2024", "event_subtitle":"", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"The Introduction to Data Science and AI Summer Academy introduces the basics of data science and AI methods to researchers (especially faculty). Our goal is to lower the barrier of entry for domain research scientists who plan to adopt data science and AI methods, and enable them to collaborate with data scientists and AI experts more effectively. \r\n\r\nStudents are expected to bring a laptop for programming components of the workshop.\r\n\r\nFor more information, please visit our event's page\r\nLink: https:\/\/midas.umich.edu\/workshops\/intro-ds-summer-academy-24\/", "occurrence_notes":null, "guid":"119248-21842469@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/119248", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":null, "has_livestream":0, "cost":"Tuition to attend: $100 for U-M internal | $3,000 for external participants (30% discount for U-M Alums)", "tags":["Academic Technology At Michigan","Ai In Science And Engineering","Artificial Intelligence","Computational Modeling","Computer Science","Data Science","Electrical Engineering And Computer Science","Engineering","Faculty","Generative Ai","Mathematics","Networking","Postdoctoral Research Fellows","Professional Development","Research","Staff","Statistics","Workshop"], "website":"https:\/\/midas.umich.edu\/workshops\/intro-ds-summer-academy-24\/", "sponsors":[ { "group_name":"Michigan Institute for Data and AI in Society MIDAS", "group_id":"3521", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2024\/02\/event_119248_original-1.jpeg" }, "occurrence_count":5, "first_occurrence":21842469 } , "121506-21846638": { "datetime_modified":"20240416T131653", "datetime_start":"20240603T090000", "datetime_end":"20240603T120000", "has_end_time":1, "date_start":"2024-06-03", "date_end":"2024-06-03", "time_start":"09:00:00", "time_end":"12:00:00", "time_zone":"America\/Detroit", "event_title":"Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques", "occurrence_title":"", "combined_title":"Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques: Course presented by Brady T. West", "event_subtitle":"Course presented by Brady T. West", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"Analysis of Complex Sample Survey Data\r\nBrady T. West\r\n\r\nJune 3-July 26, 2024\r\nM and W (9:00am-11:00am) F (10:00am-12:00pm)\r\n\r\nClasses are open for registration. You do not have to be affiliated with the University in order to attend. \r\n\r\nThe mission of the Summer Institute in Survey Research Techniques (SISRT) is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the art practice and theory in the design, implementation, and analysis of surveys. \r\n \r\nSpace is limited so please register early! Since our courses are not for academic credit, fees are based on the number of assigned \u201ccourse hours\u201d to each class.\r\n\r\nPlease view the 2024 course schedule for our extensive class offerings. Classes are offered remotely at their scheduled times.\r\n\r\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.\r\n\r\nWhy take this course? \r\n\r\nTo gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\r\n\r\nTo have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\r\n\r\nTo see various examples of applied statistical analyses of survey data\r\n\r\nTo have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper", "occurrence_notes":null, "guid":"121506-21846638@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/121506", "building_id":"1000145", "building_name":"Institute For Social Research", "campus_maps_id":"76", "room":"1070", "location_name":"Institute For Social Research", "has_livestream":0, "cost":"Fees are based on duration of the course. 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