{ "123893-21854972": { "datetime_modified":"20240910T113929", "datetime_start":"20250106T080000", "datetime_end":"20250106T170000", "has_end_time":1, "date_start":"2025-01-06", "date_end":"2025-01-06", "time_start":"08:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"WCEE Exhibition. Threads of Tradition: The Art of Ukrainian Vyshyvanka", "occurrence_title":"", "combined_title":"WCEE Exhibition. Threads of Tradition: The Art of Ukrainian Vyshyvanka", "event_subtitle":"", "event_type":"Exhibition", "event_type_id":"7", "description":"The act of embroidering and weaving designs onto cloth is deeply rooted in Ukrainian traditions. Embellished clothing (sorochky), ritual cloths (rushnyky), and household textiles accompany a person from birth until death, punctuating important life events in between. A variety of embroidery patterns are used throughout Ukraine; some stitches are universally known, while others are region-specific. Ukrainian embroidered clothing is now officially celebrated with an annual Vyshyvanka Day observed throughout the world in May.\r\n\r\nTo see photos and read more about exhibited items, visit https:\/\/myumi.ch\/AZedA\r\n \r\n The embroideries and textiles exhibited are from the private collections of Arnie Klein, Solomia Soroka, Katerina Sirinyok-Dolgaryova, and from the Ukrainian American Archives & Museum located in Hamtramck, Michigan.\r\n \r\n The exhibit opens on September 5, 2024, in 1010 Weiser Hall, 500 Church Street, Ann Arbor. Contact weisercenter@umich.edu to schedule a viewing.\r\n\r\n*The exhibition is cosponsored by the Ukrainian American Archives & Museum*.\r\n\r\nIf there is anything we can do to make this event accessible to you, please contact us. 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This free, 3-week virtual program will guide you in leveraging\u00a0data science tools and techniques to analyze the New York City OpenData Transportation Dataset and generate insights on making roads safer for all.\u00a0From January 6 to January 27, 2025, you will\u00a0work on a real-world data science project with access to mentorship and opportunities to collaboratewith peers. At the end of the program, you may\u00a0earn a certificate endorsed by the Northeast Big Data Innovation Hub and may\u00a0have the chance to present your findings to U.S. Department of Transportation Federal Highway Administration officials!Participants will learn to assess for potential bias in the data, create pertinent data visualizations, and develop analytical models that can be deployed in the real world.\u00a0Learners from around the world, from all educational backgrounds and skill levels, are invited to participate.\u00a0This is an opportunity for you to learn data science techniquesin a supportive environment. This is not a paid\/unpaid internship.Important Dates: January 6th \u2013 January 27th, 2025Prerequisites: There are no prerequisites for this program. We will guide and support you throughout this project.Skills You May Gain: Data Cleaning, Python Programming, Time Series Analysis, Geospatial Analysis, Data Visualization, and Critical Thinking SkillsThe TDSP is\u00a0brought to you by the\u00a0Northeast Big Data Innovation Hub\u00a0(NEBDHub), National Student Data Corps (NSDC), and U.S. Department of Transportation Federal Highway Administration.\u00a0Register here! https:\/\/nebigdatahub.org\/nsdc\/tdsp\/\u00a0", "occurrence_notes":null, "guid":"130340-21865772@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/130340", "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":21865772 } }