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        "event_title":"UGED LSA Orientation",
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        "event_title":"Invitation: Out@Warburg Insight Series (in-person only)",
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        "combined_title":"Invitation: Out@Warburg Insight Series (in-person only)",
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        "description":"Come and find out about who Warburg Pincus is, what we do andthe career opportunities available to you in private equity. There will be an opportunity to network and ask questions to our investment professionals. Students from all schools and majors are encouraged to attend. This session is hosted by Out@Warburg, the firm's employee network that provides programming and content for employees who identify as LGBTQ+, with a focus on career development and networking.\n\nThe event is open to undergraduate students entering their junior year this fall (Class of 2025) who identify as LGBTQ+.\n\nBreakfast will be provided.\n\nEvent Location:\nWARBURG PINCUS\n450 LEXINGTON AVENUE\n36TH FLOOR I NEW YORK, NY\n\nPlease RSVPhere: https:\/\/warburgpincus.clearcompany.com\/careers\/jobs\/9f36d210-bcae-5e98-3ca4-f5fb52c5cb75\/apply?source=2569604-CS-46317",
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        "event_title":"Invitation: Out@Warburg Insight Series (in-person only)",
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        "description":"\"Come and find out about who Warburg Pincus is, what we do and the career opportunities available to you in private equity. There will be an opportunity to network and ask questions to our investment professionals. Students from all schools and majors are encouraged to attend. This session is hosted by Out@Warburg, the firm's employee network that provides programming and content for employees who identify as LGBTQ+, with a focus on career development and networking. The event is open to undergraduate students entering their junior year this fall (Class of 2025) who identify as LGBTQ+. \n\nBreakfast will be provided. Please RSVP here: https:\/\/warburgpincus.clearcompany.com\/careers\/jobs\/9f36d210-bcae-5e98-3ca4-f5fb52c5cb75\/apply?source=2569604-CS-46317\n\nEvent Location: WARBURG PINCUS 450LEXINGTON AVENUE 36TH FLOOR I NEW YORK, NY \"\n",
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        "event_title":"BEST Symposium 2023",
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        "description":"We are now accepting applications for the 17th annual Dow Building Engineering and Science Talent (BEST) Symposium. The application deadline is April 30, 2023.\n\nBEST participants will:\n\u2022\tGain a broader understanding of Dow\u2019s science and technology areas\n\u2022\tInteract with alllevels of R&D scientists & leadership\n\u2022\tNetwork with other early career scientists\n\u2022\tLearn about the skills necessary for a successful careerin a global organization\n\u2022\tLearn what industrial recruiters look for in PhD and PostDoc scientists\n\u2022\tBe exposed to an array of career opportunities in industrial research\n\nLearn more: https:\/\/corporate.dow.com\/en-us\/careers\/work-at-dow\/best-symposium.html\n\nApply: https:\/\/dow.wd1.myworkdayjobs.com\/ExternalCareers\/job\/Midland-MI-USA\/XMLNAME---BEST-Symposium---2023--_R2040674?source=Handshake\n\n\nParticipants in the conference may be considered for future employment at Dow. However, participation neither obligates the student to apply for employment, nor guarantees future consideration for employment by Dow. For those wishing to learn more about opportunities, please visit our careers page.",
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        "location_name":"Midland, Michigan, United States",
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        "event_title":"Introduction to Arms Control Course",
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        "description":"You must register at this link: https:\/\/www.pnnl.gov\/projects\/arms-control-course\n\nPacific Northwest National Laboratory (PNNL) is hosting a week-long course for undergraduate and graduate students interestedin learning about the core technical, legal, and policy concepts associated with nuclear arms control. The course will introduce students of diverse backgrounds to current and future challenges related to nuclear arms control, including treaty implementation, strategic stability, verification technologies, and related topics.\u00a0This opportunity is made availableas part of the National Nuclear Security Administration\u2019s Office of Nuclear Verification\u2019s Next Generation Arms Control Experts (NextGen ACE) initiative.\n\nEvent details:\n\nWho: Currently matriculated (or recently graduated within the past year) undergraduate, graduate, and doctoral students of all disciplines. Students should be security clearance eligible (i.e., U.S. citizens) and have an interest in nuclear arms control as a possible future career path.\n\nWhat: 5-day course on nuclear arms control,with a combination of lectures, exercises, hands-on technical demonstrations, and tours.\n\nWhen: July 24-28, 2023.\n\nWhere: Hosted at the Richland campus of PNNL in Washington State.\n\nWhy: To cultivate the next generation of arms control experts by fostering engagement with professionals who will offer career perspectives and advice while providing a holisticintroduction to the field.",
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        "event_title":"Learning Structure in High-Dimensional Data with Applications to Neuroimaging",
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        "combined_title":"Learning Structure in High-Dimensional Data with Applications to Neuroimaging: Daniel Kessler",
        "event_subtitle":"Daniel Kessler",
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        "description":"Abstract:\r\nThe scale of modern datasets, with more and more variables measured on more and more observations, presents many statistical challenges, but also opportunities to discover and exploit the rich structure that is often present in the data. In neuroimaging studies, multiple kinds of brain imaging are conducted on the same participant, with each modality of imaging having its own further structure, and many associated phenotypic measurements taken on the participants. Understanding the complicated and noisy underlying relationships between all of these measurements holds promise for scientific and treatment breakthroughs in the long term, and requires sophisticated methods designed to uncover this structure. This thesis presents three projects on learning structure in high-dimensional datasets motivated by applications in neuroimaging.\r\n\r\nThe first project considers the setting where many networks are observed on a common node set: each observation comprises edge weights, covariates observed at each node, and a response. In our neuroimaging application, the edge weights correspond to functional connectivity between brain regions, node covariates encode task activations at each brain region, and performance on a behavioral task is the response. The goal is to use the edge weights and node covariates to predict the response and to identify a parsimonious and interpretable set of predictive features. We propose an approach that uses feature groups defined according to a community structure believed to exist in the network (naturally occurring in neuroimaging applications). We propose two schemes for forming feature groups where each group incorporates both edge weights and node covariates, and derive optimization algorithms for both using an overlapping group LASSO penalty. Empirical results on synthetic data show that our method, relative to competing approaches, has similar or improved prediction error along with superior support recovery, enabling a more interpretable and potentially a more accurate understanding of the underlying process. We also apply the method to neuroimaging data.\r\n\r\nThe second project focuses on inference for structure learned using Canonical Correlation Analysis (CCA). CCA is a method for analyzing a sample of pairs of random vectors; it learns a sequence of paired linear transformations of the original variables that are maximally correlated within pairs while uncorrelated across pairs. CCA outputs both canonical correlations as well as the canonical directions which define the transformations. While inference for canonical correlations is well developed, conducting inference for canonical directions is more challenging and not well-studied, but is key to interpretability. We propose a computational bootstrap method for inference on CCA direction (kombootcca). We conduct thorough simulation studies that range from simple and well-controlled to complex but realistic and validate the statistical properties of kombootcca while comparing it to several competitors. We also apply the kombootcca method to a brain imaging dataset and discover linked patterns in brain connectivity and behavioral scores.\r\n\r\nThe third project proposes a new method for matrix CCA (matcca), which works with pairs of random matrices rather than pairs of random vectors, motivated by a neuroimaging application where the brain imaging data takes the form of a high-dimensional covariance matrix. Our matcca method uses a nuclear norm penalty that encourages the canonical directions associated with the matrix-variate data to have low rank structure when arranged into a matrix. Results from both synthetic and neuroimaging data show that matcca is very effective at recovering low rank signals even in noisy cases with few observations.",
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        "tags":["Dissertation"],
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        "event_title":"Selections from the Special Collections Research Center",
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        "combined_title":"Selections from the Special Collections Research Center",
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        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"Enjoy a selection of materials from the Special Collections Research Center, from\u00a016th century woodcuts of military weapons and devices, to lithographs of 19th century Parisian prison, to a 20th century manuscript poem by poet Robert Hayden.\r\n\r\nAvailable during Hatcher Gallery Exhibit Room hours (https:\/\/myumi.ch\/2m7d4).",
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        "building_name":"Hatcher Graduate Library",
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        "room":"Hatcher Gallery Exhibit Room",
        "location_name":"Hatcher Graduate Library",
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        "tags":["Books","Exhibition","Free","Library"],
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                "group_id":"1186",
                "website":"https:\/\/www.facebook.com\/UMichLibrary\/"                }                    ],
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        "event_title":"UN\/EARTH",
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        "combined_title":"UN\/EARTH: Featured Exhibit: UN\/EARTH",
        "event_subtitle":"Featured Exhibit: UN\/EARTH",
        "event_type":"Exhibition",
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        "description":"Featuring work by Gina Gibson, UN\/EARTH explores science and art from a mile underground. Located in the former Homestake gold mine in Lead, South Dakota, the Sanford Underground Research Facility (SURF) houses experiments that give us a better understanding of the universe. The location\u2014deep underground\u2014provides a near-perfect environment for experiments that need to escape the constant bombardment of cosmic radiation, which can interfere with the detection of rare physics events. Built in collaboration with the University of Michigan, the LUX-Zeplin is the world\u2019s most sensitive dark matter experiment. SURF also hosts experiments in biology, geology and engineering.\r\n\r\nGina Gibson is an internationally exhibiting artist and professor of Graphic Design at Black Hills State University. In 2019, Gibson became the first artist in residence at the Sanford Underground Research Facility. Gibson's work celebrates the search deep below the surface for beauty in the old and new, the light and dark, and the known and unknown.\r\n\r\nUN\/EARTH was developed in collaboration with the U-M Department of Physics, the Sanford Underground Research Facility and Black Hills State University.",
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        "event_title":"We Are Stars",
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        "event_title":"Discover Lockheed Martin",
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        "event_title":"MRADS Study Skills Workshop",
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        "event_title":"Wesley Arai plays the Baird Carillon: \u201cMusic by Emma Lou Diemer & Contemporaries\u201d",
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        "event_title":"Holly Near",
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        "description":"After 50 years of bold work, Holly Near is still one of the most consistent and well-informed voices for change. Her work is loving, challenging, funny, thought-provoking, and remains rooted in the global community. As an outspoken singer and ambassador for peace, Holly brings a unique integration of world consciousness and self-evaluation, always growing and sharing experiences humbly and boldly.\r\n\r\nHolly discovered her unique and recognizable voice at an early age, learning to sing along with recordings of some of the world\u2019s great singers. After graduating high school, Holly attended UCLA but her academic journey ended after just a few months when she was spotted by agents and drawn into the world of film and television. She did guest spots on TV shows like The Partridge Family, Room 222, All in the Family, and played supporting roles in films like John Cassavetes\u2019 Minnie and Moskowitz and George Roy Hill\u2019s Slaughterhouse-Five. She moved to New York and performed for a short run in Hair on Broadway but soon turned to singing full\r\ntime, as a soloist as well as sharing the stage with her sisters Laurel and Timothy. Throughout her career she has enjoyed collaborations with such artists as Mercedes Sosa, Ronnie Gilbert, Inti Illimani, Emma\u2019s Revolution, and her long-time songwriting partner, the late Jeff Langley.\r\n\r\nIn her early twenties, Near traveled with the Free The Army Show and the Indochina Peace Campaign; an experience that enabled her to learn about the function and consequences of the military-industrial complex. While on the FTA tour in 1971, Holly was first introduced to the concept of global feminism. By 1974 she was crossing paths and sharing songs with the wave of new lesbian feminist performers such as Meg Christian, Cris Williamson, Linda Tillery, Mary Watkins, and Alive! Near dove into the feminist movement, trying to understand the depth of sexism and homophobia by turning those lessons into song.\r\n\r\nHolly is known for the anthemic quality of some of her songs. As a songwriter she takes up the challenge of turning big concepts into small, personal stories. In response to the slaughter of the students at Kent State, she wrote It Could Have Been Me. And following the assassinations of Mayor George Moscone and Supervisor Harvey Milk in San Francisco, she penned Singing For Our Lives, which has become an anthem for the LGBTQ community and appears in the Unitarian\r\nChurch hymnal. The chilling disappearance of people in Chile under the Pinochet dictatorship brought forth Hay Una Mujer Desaparecida to commemorate the women who had \u201cbeen disappeared.\u201d\r\n\r\nIn 2019, Near began a website project called Because of a Song, an online historic archive that documents some of the influential artists that rose from the feminist lesbian music scene in Oakland, California. The site can be viewed at www.becauseofasong.com. \r\n\r\nA recipient of dozens of awards from organizations such as the ACLU and the National Organization of Women, Holly was one of Ms. Magazine\u2019s Women of the Year recipients and has been nominated for Grammys as well as the Legends of Women\u2019s Music Award.\r\n\r\n\r\nPlease visit https:\/\/mutotix.umich.edu\/3869\/3870 for more detail.",
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