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        "event_title":"Learn to Meditate in 3 days",
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        "combined_title":"Learn to Meditate in 3 days: Pushyami Gundala",
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        "description":"Make meditation part of your goal to strengthen your mental well-being. Discover three core practices\u2014meditation, rejuvenation, and inner connect in just three session.\r\n\r\nMeditation is a mindful journey for regulating your mind. It\u2019s like a mental workout, training the mind to focus on a single thought amid the 60,000 that pass through daily. With 3 core practices it cultivates effortless concentration, heightened awareness, and presence in the moment, allowing a shift from thinking to feeling. Meditation also leads to a deeper state of relaxation, regulating the stress response and promoting numerous health benefits.\r\n\r\nThe session will be guided by a trainer via Zoom meeting for all 3 days from noon to 1 p.m. All U-M students, faculty, and staff are welcome to join at no cost. No prior experience with meditation is required.\r\n\r\nEvent Details\r\n*When: Every month for 3 days (attending all 3 sessions is recommended)*\r\n\r\nThe session is Remote over Zoom and upon registration you will have the Zoom MeetingId and Passcode\r\nSee Related Links for registration\r\n\r\nThis wellness program is coordinated by Information Technology and Services (ITS) Teaching & Learning, and is provided at no cost by heartfulness.org.\r\n\r\nJoin the MCommunity group for email updates \u2013 Meditation for wellness",
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        "event_title":"Building and Leveraging Your Network",
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        "event_title":"Building and Leveraging Your Network",
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        "description":"Building a network and connecting with others is critical to your professional development in graduate school and job\/internship searches.\u00a0Join this discussion to learn strategies for building your network (including tips on using LinkedIn and the University Career Alumni Network) and how to leverage this network for career exploration and job\/internship searching. There will be plenty of time for your questions!\nThis event is intended to be interactive and therefore a recording will not be available.\n\nBrought to you by the University Career Center, in partnership with Rackham Graduate School.\nRegistration is required at https:\/\/myumi.ch\/Qw6Xy.\nWe want to ensure full and equitable participation in our events. If an accommodation would promote your full participation in this event, please follow the registration link to indicate your accommodation requirements. Please let us know as soon as possible in order to have adequate time, preferably one week, to arrange for your requested accommodations or an effective alternative.",
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        "datetime_modified":"20250430T090609",
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        "event_title":"SRC Seminar Series: Privacy, Data Privacy, and Differential Privacy",
        "occurrence_title":"",
        "combined_title":"SRC Seminar Series: Privacy, Data Privacy, and Differential Privacy: Xiao-Li Meng, Whipple V. N. Jones Professor of Statistics, Harvard University",
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        "description":"Tuesday, May 6, 2025 | 2:00-3:30pm ET\r\n2:00-3:00 Seminar\r\n3:00-3:30 Questions and Collaboration\r\n\r\n1430BD ISR-Thompson\r\n426 Thompson St.\r\n\r\nRegister to attend\r\n\r\nAbstract\r\nThis talk traces the concept of privacy from a late 19th-century legal right\u2014spurred by tabloid harassment\u2014to today's digital age challenges. It highlights Differential Privacy (DP),a cryptography-based method designed to balance data privacy and utility in a quantified way. However, despite DP's advancements and explicit warnings (e.g., Kifer and Machanavajjhala, 2011\u201cNo free lunch in data privacy\u201d;Tschantz et al, 2022,\u201cSoK:Differential privacy as a causal property\u201d),misconceptions about its resistance to adversaries' prior knowledge persist. By revisiting Warner's (1965, JASA) randomized response mechanism, we argue that this misperception lies in treating data as static objects, rather than realizations of underlying, typically interdependent attributes or variables. We show how DP's effectiveness can falter when adversaries exploit interdependencies among individuals\u2014similar to how quarantining only symptomatic individuals fails to stop an airborne disease. A holistic statistical perspective on joint modeling data is therefore as crucial for data privacy as for data analysis. (Joint work with James Bailie and Ruobin Gong.)\r\n\r\nBio:\r\nDr. Xiao-Li Meng is the Founding Editor-in-Chief of HDSR and the Whipple V. N. Jones Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review, is well known for his depth and breadth in research, his innovation and passion in pedagogy, his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by COPSS (Committee of Presidents of Statistical Societies) in 2001, and he is the recipient of numerous awards and honors for his more than 150 publications in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development.",
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