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    "94750-21764822":
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        "date_end":"2022-05-11",
        "time_start":"08:00:00",
        "time_end":"18:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"2022 Caswell Diabetes Institute - Metabolism, Obesity & Diabetes (CDI-MOD) and the Frontiers in Diabetes Complications Symposium",
        "occurrence_title":"",
        "combined_title":"2022 Caswell Diabetes Institute - Metabolism, Obesity & Diabetes (CDI-MOD) and the Frontiers in Diabetes Complications Symposium: CME Credit Available",
        "event_subtitle":"CME Credit Available",
        "event_type":"Conference \/ Symposium",
        "event_type_id":"5",
        "description":"The CDI-MOD and Frontiers in Diabetes Complications Symposium provides a forum for intellectual exchange on topics associated with diabetes, obesity, metabolism and related complications among established investigators, junior faculty, students, and other researchers at the University of Michigan (U-M) and surrounding areas. This symposium features two days of invited speakers with a lively debate, poster session and data blitz, providing time for discussion and exploration of new collaborations. Speakers include a combination of researchers of international stature from outside of U-M and junior and senior faculty within the University. Symposium participants will enhance their knowledge and understanding of the latest advances in basic, translational and clinical research as well as the latest advances in the care and treatment of diabetes, obesity, metabolism and related complications. After this activity, participants will be able to elucidate and predict more clear causes of diabetes and metabolic diseases and utilize this information to guide future research. The target audience includes physicians, house officers, medical students, technicians, administrators and other healthcare professionals.",
        "occurrence_notes":null,
                "guid":"94750-21764822@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/94750",
        "building_id":"0",
        "building_name":"North Campus Research Complex Building 18",
        "campus_maps_id":"595",
        "room":"",
        "location_name":"North Campus Research Complex Building 18",
        "has_livestream":0,
        "cost":"",
        "tags":["Basic Science","Biosciences","conference","Diversity Equity and Inclusion","Faculty","Food","Free","Graduate and Professional Students","Graduate Students","In Person","Medicine","North campus","Postdoctoral Research Fellows","Public Health","Research","Science","symposium"],
        "website":"https:\/\/diabetes.med.umich.edu\/2022-caswell-diabetes-institute-metabolism-obesity-diabetes-cdi-mod-symposium",
        "sponsors":[
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                "group_name":"Caswell Diabetes Institute",
                "group_id":"4748",
                "website":""                }                    ],
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        "datetime_end":"20220511T230000",
        "has_end_time":1,
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        "date_end":"2022-05-11",
        "time_start":"08:00:00",
        "time_end":"23:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Apply to Changing Gears",
        "occurrence_title":"",
        "combined_title":"Apply to Changing Gears: Research experience for Transfer Students",
        "event_subtitle":"Research experience for Transfer Students",
        "event_type":"Careers \/ Jobs",
        "event_type_id":"2",
        "description":"Changing Gears (CG) is a UROP program designed primarily for community college transfer students who will be attending the University of Michigan, but also serves students transferring from 4 year institutions. Students in the CG Program become a part of an ongoing faculty-driven research, scholarly or creative project in their field of interest. Students learn valuable academic skills, applying these skills to their research project, academics, and future career opportunities, while receiving academic credit or compensation for their efforts in research work.\r\n\r\nApplications are accepted on a rolling basis.\r\nLearn more about Changing Gears at: myumi.ch\/uropcg",
        "occurrence_notes":"Apply at myumi.ch\/uropcg",
                "guid":"92406-21690940@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/92406",
        "building_id":"null",
        "building_name":"Off Campus Location",
        "campus_maps_id":"1",
        "room":"",
        "location_name":"Off Campus Location",
        "has_livestream":0,
        "cost":"",
        "tags":["AEM Featured","Applications","first-generation","Free","Interdisciplinary","Networking","Research","research data","Social Impact","The College Of Literature, Science, And The Arts","Transfer Students","Undergraduate","Undergraduate Students","Urop"],
        "website":"https:\/\/lsa.umich.edu\/urop\/Prospective-Students\/fall-winter-programs\/changing-gears-program.html",
        "sponsors":[
             {
                "group_name":"UROP - Undergraduate Research Opportunity Program",
                "group_id":"3702",
                "website":"https:\/\/twitter.com\/UROPumich"                }                    ],
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        "occurrence_count":181,
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    }    ,    "94707-21761623":
    {
        "datetime_modified":"20220419T113622",
        "datetime_start":"20220511T080000",
        "datetime_end":"20220511T190000",
        "has_end_time":1,
        "date_start":"2022-05-11",
        "date_end":"2022-05-11",
        "time_start":"08:00:00",
        "time_end":"19:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Mail Art: Postcards from the Pandemic",
        "occurrence_title":"",
        "combined_title":"Mail Art: Postcards from the Pandemic",
        "event_subtitle":"",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"View postcards from the pandemic. When the U-M Library and the Ann Arbor District Library asked community members to submit handmade postcards \u2014 mail art \u2014 in 2020 to capture the emotions and experiences of the Ann Arbor and U-M community during challenging pandemic times, creative pieces of art started arriving at the library. About the submissions: https:\/\/myumi.ch\/pdbeW\r\n\r\nStop by the Hatcher Library to view these physical artifacts that reflect how people were coping during the unexpected Covid-19 shutdown.",
        "occurrence_notes":null,
                "guid":"94707-21761623@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/94707",
        "building_id":"1000181",
        "building_name":"Hatcher Graduate Library",
        "campus_maps_id":"65",
        "room":"North Lobby (just off the Diag)",
        "location_name":"Hatcher Graduate Library",
        "has_livestream":0,
        "cost":"",
        "tags":["Art","Free","Library"],
        "website":"",
        "sponsors":[
             {
                "group_name":"University Library",
                "group_id":"1186",
                "website":"https:\/\/www.facebook.com\/UMichLibrary\/"                }                    ],
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    }    ,    "90765-21673602":
    {
        "datetime_modified":"20220516T161143",
        "datetime_start":"20220511T080000",
        "datetime_end":"20220511T190000",
        "has_end_time":1,
        "date_start":"2022-05-11",
        "date_end":"2022-05-11",
        "time_start":"08:00:00",
        "time_end":"19:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Map \u2260 Territory: Distortion and Power in Cartography",
        "occurrence_title":"",
        "combined_title":"Map \u2260 Territory: Distortion and Power in Cartography",
        "event_subtitle":"",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"More than strict representations of the world we inhabit, maps are social constructions that embody the interests of their creators. Map \u2260 Territory deconstructs maps that have been used to subjugate, appropriate, and oppress, as well as the maps that counter that power through emancipation and advocacy. The exhibit critically engages with materials that span from the colonial era to modern-day Detroit.\r\n\r\nThe exhibit is available in the Clark Library (second floor Hatcher) during Hatcher Library hours. Please verify hours on the library's website: https:\/\/www.lib.umich.edu",
        "occurrence_notes":null,
                "guid":"90765-21673602@events.umich.edu",
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        "building_name":"Hatcher Graduate Library",
        "campus_maps_id":"65",
        "room":"Clark Library, 2nd Floor",
        "location_name":"Hatcher Graduate Library",
        "has_livestream":0,
        "cost":"",
        "tags":["Library","Maps"],
        "website":"",
        "sponsors":[
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                "group_id":"1186",
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    {
        "datetime_modified":"20220404T165052",
        "datetime_start":"20220511T080000",
        "datetime_end":"20220511T120000",
        "has_end_time":1,
        "date_start":"2022-05-11",
        "date_end":"2022-05-11",
        "time_start":"08:00:00",
        "time_end":"12:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"U-M SCHOOL OF NURSING GLOBAL HEALTH SUMMER INSTITUTE",
        "occurrence_title":"",
        "combined_title":"U-M SCHOOL OF NURSING GLOBAL HEALTH SUMMER INSTITUTE: \"CHRONIC CONDITIONS IN WOMEN\u2019S HEALTH: THROUGH A GLOBAL LENS\"",
        "event_subtitle":"\"CHRONIC CONDITIONS IN WOMEN\u2019S HEALTH: THROUGH A GLOBAL LENS\"",
        "event_type":"Conference \/ Symposium",
        "event_type_id":"5",
        "description":"MAY 10-12, 2022 VIRTUAL\r\nThis year's summer institute will explore the intersection of women's health and chronic health conditions through clinical, policy and research tracks in local and global contexts.\r\n\r\nBy joining the summer institute, you will:\r\n\r\nLearn about the latest global trends on some of the most pressing chronic conditions such as HIV, mental health, obesity, diabetes and cardiovascular conditions in women's health\r\nExpand your perspective through interdisciplinary and intercultural keynotes \r\nPersonalize your experience with three program tracks in clinical practice, policy or research \r\nGain skills in program development, evaluation, and advocacy\r\nShare your work\/learn about innovative ideas through flash presentations \r\nNetwork with practitioners, researchers, and professionals across the globe \r\nEarn up to 9.25 CNE credits*\r\nReceive a University of Michigan School of Nursing Certificate of Attendance\r\nAll sessions will run virtually from 8:15 a.m. \u2013 12:00 p.m. EDT (12:30 p.m. EDT on Thursday with the closing WHO\/PAHO panel).\r\n\r\nTickets for the three-day event are:\r\n\r\n$100 for participants from high-income countries\r\n$50 for participants from low- and middle-income countries and students\r\nClosing panel on May 12, 2022 from 11:15 a.m. \u2013 12:30 p.m. EDT is open to the public\r\n*University of Michigan Health Nursing Professional Development & Education is approved as a provider of nursing continuing professional development by the Ohio Nurses Association, an accredited approver by the American Nurses Credentialing Center\u2019s Commission on Accreditation. (OBN-001-91)\r\n\r\nFor the UMSN Global Health Summer Institute, up to 9.25 nursing contact hours can be earned\r\n\r\nhttps:\/\/nursing.umich.edu\/global\/global-health-summer-institute",
        "occurrence_notes":"Register: https:\/\/nursing.umich.edu\/global\/global-health-summer-institute",
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        "location_name":"Virtual",
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        "livestream_type":"other",
        "livetream_require_login":0,
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        "livestream_link":"",        
        "cost":"$100 for participants from HICs\r\n$50 for students and participants from LMICs",
        "tags":["Global Health","Health","Mental Health","Professional Development","Women's Health"],
        "website":"https:\/\/twitter.com\/umichglobalnurs",
        "sponsors":[
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                "group_id":"4259",
                "website":"https:\/\/www.instagram.com\/umsn_globalnursing\/?hl=en"                },             {
                "group_name":"Institute for Research on Women and Gender",
                "group_id":"1031",
                "website":"http:\/\/irwg.umich.edu\/"                },             {
                "group_name":"Center for Southeast Asian Studies",
                "group_id":"1044",
                "website":"http:\/\/www.ii.umich.edu\/cseas"                },             {
                "group_name":"University Library",
                "group_id":"1186",
                "website":"https:\/\/www.facebook.com\/UMichLibrary\/"                },             {
                "group_name":"Center for Middle Eastern and North African Studies",
                "group_id":"2563",
                "website":"http:\/\/www.ii.umich.edu\/cmenas"                },             {
                "group_name":"CEW+",
                "group_id":"2927",
                "website":"http:\/\/cew.umich.edu"                },             {
                "group_name":"Center for Russian, East European, and Eurasian Studies",
                "group_id":"3097",
                "website":"http:\/\/www.ii.umich.edu\/crees"                },             {
                "group_name":"African Studies Center",
                "group_id":"3187",
                "website":"http:\/\/www.ii.umich.edu\/asc\/"                },             {
                "group_name":"Center for South Asian Studies",
                "group_id":"3273",
                "website":"http:\/\/www.ii.umich.edu\/csas"                },             {
                "group_name":"Center for Latin American and Caribbean Studies",
                "group_id":"3274",
                "website":"http:\/\/www.ii.umich.edu\/lacs"                },             {
                "group_name":"Center for Global Health Equity",
                "group_id":"4590",
                "website":""                }                    ],
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        "event_title":"UROP First-Year Application Open",
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        "combined_title":"UROP First-Year Application Open",
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        "occurrence_notes":null,
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        "tags":["AEM Featured","Applications","first-generation","Free","Interdisciplinary","Networking","Research","Undergraduate","Undergraduate Students","Urop"],
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        "datetime_start":"20220511T090000",
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        "event_title":"Greek Manuscripts at the University of Michigan Library: A Celebration",
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        "event_title":"Signaling, illuminated: moving proteins and assembling organelles to crack the signaling code",
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        "event_title":"Statistical Estimation and Inference for Large-Scale Categorical Data",
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        "description":"Abstract:\r\nCategorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods on large-scale categorical data, with a special focus on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be fully captured by raw scores due to differing item difficulties. Latent variable models are popularly used to capture this unobserved proficiency. This dissertation studies two types of latent variable models with categorical responses. The first type assumes multiple discrete latent traits, commonly known as the cognitive diagnosis models (CDMs), is a special family of discrete latent variable models. The second type assumes a continuous latent score, commonly known as the item response theory (IRT) models. Although both have been widely applied in large-scale assessments with diagnostic purposes, many challenges still exist for efficient learning and statistical inference. This dissertation studies four important problems that arise in these contexts.\r\n\r\nThe first part develops novel algorithms to estimate large latent Q-matrix in CDMs. Q-matrix plays an important role in CDMs; it specifies the inter-dependence between items and subjects' latent attributes. Accurate knowledge of Q-matrix is critical for cognitive diagnosis, item categorization and assessment design. However, in practice, many assessments do not provide Q-matrix or do not have accurate Q-matrix specifications. Existing methods are not scalable with the size of Q-matrix, despite the prevalence of large Q-matrix. We propose a penalized likelihood approach, with computational complexity growing linearly with Q sizes, to learn large Q-matrix from observational data. The estimation consistency and the robustness of the proposed method across various CDMs are also established.\r\n\r\nThe second part develops learning and inference methods for a unidimensional IRT model, the Rasch model, under the missing data setting. Data missingness is prevalent in large-scale assessments; examples include SAT and GRE where responses are combined from multiple tests administered year round from a large item pool. Direct inference to compare subjects\u2019 latent scores under the missing data setting remains open and challenging in the literature. In this part, we obtain point estimators for the latent scores and derive their asymptotic distribution under a flexible missing-entry design in double asymptotic settings. We show our estimator is statistically efficient and optimal, which is amongst the first results in the binary matrix completion literature.\r\n\r\nThe third part concerns measurement biases in IRT models. Novel estimation and inference procedures are developed for biases brought by measurement non-invariant items under the differential item functioning (DIF) framework. Existing methods either require to know anchor items, i.e. DIF-free items or to adopt regularization to ensure model identifiability where easy inference is not permitted. We propose a novel minimal L1 condition for simultaneous DIF detection and model identification. It does not require any knowledge on anchor items and permits easy inference for both binary and multiple groups settings.\r\n\r\nThe fourth part considers privacy issues for releasing tabular (categorical) data to the public. We recommend an optimal mechanism, in which data utility is maximized given a privacy constraint, under the data differential privacy (DP) framework. Common users' practices, including merging related cells or integrating multiple data sources, are considered. Valid inference procedures are developed for the associated DP privacy-protected data.",
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        "event_title":"Walk-In Recruitment Drive Java Beginner level",
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        "description":"Begin Your Career Transformation\nWalk-In Recruitment Drive\nIwould like to invite you to attend our on the spot interview expo this  May 11, 2022 to May 15,2022, starting at 9 am to 4pm EST. at our office in Reston, Virginia. This event is an INVITE ONLY, hiring expo. You mustreach out to me to register in order to be able to attend this event. Allattendees will be given a passcode, which will give you access to the building on a weekend.\n\nYou will have an interview with our management team. The interview will last about 45 minutes. We call this our Campus SuperDay\n\nWhat is a Super Day?\n\nA Super Day is a Campus Interview Day where we bring anywhere between 15-30 candidates on-site and put them into rotational interview sessions with different managers in different lines of business.\n\nWhat does this look like?\nThis will be a day of 30-minute interview sessions with 3-4 managers for each candidate, with the intent of extending offers by the end of the day.\n\nHiring for:\n\nJunior Floaters (Must be open to relocation and traveling)\nJunior SDET Developers\nJuniorJava Developers \n \nPlease bring copies of your resume (five copies) mayone reference as well as a copy of your driver's license to the interview.\n\n\nIf the date or time of the interview is inconvenient, please contact me by email (RaminiR@hexaware.com) to arrange another appointment. We look forward to seeing you.\n\n\nLocation: 12700 Sunrise \nValley Dr #105,Reston, VA 20191\n10am- 4pm EST\nMay\n11th - 15th\nFrom\nOnline Test > Technical Interview > HR Interview > Offer\nJava Developers \n(Beginner Level)\nExperience: 0 - 1 years\n\nJava Developers \n(Mid - Level)\nExperience: 3+ years\n\nSDET\n(Beginner Level)\nExperience: 0 - 1 years",
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