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        "combined_title":"CoderSpaces, Virtual Office Hours (Tuesday mornings): Armand Burks (ARC\/UMSI), Chris Gates (Bioinformatics Core), Erin Ware (SRC), Jon Reader (MADRC), Kelly Sovacool (DCMB)",
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        "description":"Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays \u2013 Thursdays, during the Winter 2022 term to get research support and connect with others.\r\n\r\nThe virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.\r\n\r\nOur hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors. \r\n\r\nExpertise at this session includes: \r\nAnaconda\/Miniconda\/Mamba, automation of tasks and workflows, Bash, C++, data analysis, data management, data manipulation, data visualization, epidemiology, Git\/Github, Java, Jupyter, machine learning, OpenRefine, PySpark, Python, R, R Markdown, R tidyverse, REDCap, SAS, Snakemake, statistics.\r\n\r\nCoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.\r\n\r\nTuesdays 9:30-11am\r\nJoin via Zoom* (https:\/\/umich.zoom.us\/j\/92224488813)\r\n*Users will have to sign in with their UMICH (Level-1) credentials.",
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        "event_title":"MORE FACULTY Session: Getting Your Mentoring Relationship Off to a Good Start",
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        "event_title":"LSA DEI Workshop: Implicit Bias",
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        "description":"Undergraduate Students interested in participating in a 10-week paid summer research fellowship can learn more about the Biomedical & Life Sciences, Engineering and Women & Gender programs during our virtual info sessions offered during the following dates:\r\n\r\nJanuary 19th (2pm-3pm)\r\nJanuary 25th (12pm-1pm)\r\nFebruary 3rd (5pm-6pm)\r\nFebruary 9th (5pm-6pm)\r\n\r\nRegister for an info session at: https:\/\/myumi.ch\/7e36D",
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        "event_title":"DS 101: Managing and Planning Your Data",
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        "combined_title":"DS 101: Managing and Planning Your Data: Digital Scholarship 101 Workshop Series",
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        "description":"Digital Scholarship 101: Workshop Series\r\nThis series of workshops helps scholars avoid outdated projects, unpreserved knowledge, uncredited labor, and privacy or consent issues by emphasizing process in the project life cycle. Workshop participants learn how to conceptualize the life cycle of a project using human-centered design and backwards modelling when planning their projects to better understand how to version, archive, and preserve their research projects. Throughout the series, thematic questions around sustainability, preservation, accessibility, privacy, consent, grant requirements, and teaching with research will be examined. We encourage you to come with a project in mind and bring materials if available, but is not required to attend.\r\n\r\nIntended audience: This workshop was developed for humanities graduate students and faculty members who are new to digital scholarship, but is open to everyone to attend.\r\n\r\nDigital Scholarship 101: Managing and Planning for Your Data\r\nData, what is it, how and why is it managed, and why do granting agencies care? In this workshop we will talk about what counts as \u201cdata\u201d from various definitions, including the National Endowment for the Humanities. Participants will go over the ethical concerns and considerations covered and answered by a data management plan, as well as the practical skills needed in developing and writing a data management plan. This workshop will cover topics such as collection and storage, consent agreements, and contingencies for sensitive information and data. At the end of the workshop, participants will understand how data management plans can help protect and archive their research, help with the IRB process, and contribute significantly to the sustainability of their project.",
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