{ "107869-21817685": { "datetime_modified":"20230622T140412", "datetime_start":"20230731T090000", "datetime_end":"20230731T170000", "has_end_time":1, "date_start":"2023-07-31", "date_end":"2023-07-31", "time_start":"09:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"Environmental Data Science Summer Academy 2023", "occurrence_title":"", "combined_title":"Environmental Data Science Summer Academy 2023: MIDAS Summer Academies 2023", "event_subtitle":"MIDAS Summer Academies 2023", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Registration is now closed.\r\n\r\nMonday July 31 \u2013 Friday, August 4\r\nFor faculty, postdocs, and staff; in-person at U-M Ann Arbor campus\r\n\r\nFor more information, please visit our event page here: \r\nhttps:\/\/midas.umich.edu\/workshops\/environmental-academy-2023\/\r\n\r\nOur summer academies equip researchers with the essential skills required to apply advanced data science techniques to their respective fields of study and integrate these methodologies into their grant proposals. The overarching objective of these academies is to foster a research community that can drive the advancement of data science applications in a wide range of research fields.\r\n\r\n\r\nTopics\r\n\r\n Strategies for integrating data science into grant applications\r\n Basics of Machine Learning\r\n Encompasses environmental, climate, earth sciences, and ecology\r\n\r\nOutcomes:\r\n\r\n Certificate of completion\r\n Ability to communicate a breadth of data science topics with experts\r\n Skills to abstractly consider data science solutions and apply them to environmental problems\r\n\r\nTuition cost:\r\nWe will send payment instructions along with acceptance decisions.\r\n\r\n $3,000 for external participants (30% discount for U-M Alums)\r\n Thanks to support from the University, we are able to offer a reduced price of $100 for U-M personnel and students\r\n\r\nRegistration Timeline:\r\nRegistration closes on June 8. Later registrants will be accepted only if spots are available.\r\n\r\nCancellation Policy:\r\n>14 days before the first day: full refund minus $50 processing fee\r\nCancellation between 7 and 14 days of the first day: 50% refund\r\nLess than 7 days: no refund\r\n\r\nWho should attend:\r\nThis academy workshop is open to all U-M and external environmental scientists, but the content is geared towards junior faculty members and those from the public and private sector who are interested in learning about incorporating data science into their research.\r\n\r\nPrerequisites:\r\nCollege-level math or statistics. No previous coding experience is required. 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