BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UM//UM*Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Detroit
TZURL:http://tzurl.org/zoneinfo/America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230118T155519
DTSTART;TZID=America/Detroit:20230215T120000
DTEND;TZID=America/Detroit:20230215T130000
SUMMARY:Lecture / Discussion:MPSDS JPSM Seminar Series - The Evolution of the Use of Models in Survey Sampling
DESCRIPTION:MPSDS JPSM Seminar Series\nFebruary 15\, 2023\n12:00 - 1:00 EST\n\nRichard Valliant\, PhD\, is a research professor emeritus at the Institute for Social Research\, University of Michigan\, and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association\, an elected member of the International Statistical Institute\, and has been an associate editor of the Journal of the American Statistical Association\, Journal of Official Statistics\, and Survey Methodology.\n\nThe Evolution of the Use of Models in Survey Sampling\n\nThe use of models in survey estimation has evolved over the last five (or more) decades.  This talk will trace some of the developments over time and attempt to review some of the history.  Consideration of models for estimating descriptive statistics began as early as the 1940's when Cochran and Jessen proposed linear regression estimators of means.  These were early examples of model-assisted estimation since the properties of the Cochran-Jessen estimators were calculated with respect to a random sampling distribution.  Model-thinking was used informally through the 1960's to form ratio and linear regression estimators that could in some applications reduce design variances.\n\nIn a 1963 Australian Journal of Statistics paper\, Brewer presented results for a ratio estimator that were entirely based on a super population model.  Royall (Biometrika 1970 and later papers) formalized the theory for a more general prediction approach using linear models. Since that time\, the use of models is ubiquitous in the survey estimation literature and has been extended to nonparametric\, empirical likelihood\, Bayesian\, small area\, machine learning\, and other approaches.  There remains a considerable gap between the more advanced techniques in the literature and the methods commonly used in practice.\n\nIn parallel to the model developments\, the design-based\, randomization approach was dominating official statistics in the US largely due to the efforts of Morris Hansen and his colleagues at the US Census Bureau. In 1937 Hansen and others at the Census Bureau designed a follow-on sample survey to a special census of the employed and partially employed because response to the census was incomplete and felt to be inaccurate.  The sample estimates were judged to be more trustworthy than those of the census itself. This began Hansen’s career-long devotion to random sampling as the only trustworthy method for obtaining samples from finite populations and for making inferences.\n\nModel-assisted estimation\, as discussed in the 1992 book by Särndal\, Swensson\, and Wretman is a type of compromise where models are used to construct estimators while a randomization distribution is used to compute properties like means and variances. This thinking has led to the popularity of doubly robust approaches where the goal is to have estimators with good properties with respect to both a randomization and a model distribution.\n\nThe field has now reached a troubling crossroads in which response rates to many types of surveys have plummeted and nonprobability datasets are touted as a way of obtaining reasonable quality data at low cost.  Sophisticated model-based mathematical methods have been developed for estimation from nonprobability samples.  In some applications\, e.g.\, administrative data files that are incomplete due to late reporting\, these methods may work well. However\, in others the quality of nonprobability sample data is irremediably bad as illustrated by Kennedy in her 2022 Hansen lecture.  In some situations\, we are back in Morris' 1937 situation where standard approaches no longer work.  Methods are needed to evaluate whether acceptable estimates can be made from the most suspect data sets.  Nonetheless. nonprobability datasets are readily available now\, and it is up to the statistical profession to develop good methods for using them.\n\nMichigan Program in Survey and Data Science (MPSDS)\nThe University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021\, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data\, but also including social media posts\, sensor data\, and administrative records\, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality — which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research\, the world's largest academically-based social science research institute.\n\nSummer Institute in Survey Research Techniques (SISRT)\nThe mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design\, implementation\, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948\, and has offered such courses every summer since.  Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.
UID:103587-21807518@events.umich.edu
URL:https://events.umich.edu/event/103587
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Anthropology,Basic Science,Biosciences,Data,Data Management,Data Science,Demography,Discussion,Economics,Free,Generalizability,gerald r. ford school of public policy,Graduate,Graduate and Professional Students,Health,Health & Wellness,Health Data,immigration,Mathematics,Multidisciplinary Design,Online,Political Economy,Political Science,Psychology,Research,Science,Social Sciences,Sociology,Survey Research,Virtual
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20240116T141648
DTSTART;TZID=America/Detroit:20230215T120000
DTEND;TZID=America/Detroit:20230215T123000
SUMMARY:Well-being:North Campus Mindfulness Meditation Drop-In (Online)
DESCRIPTION:Take a moment to create some space to breathe and invite a sense of calm into your day. This is a guided mindfulness meditation drop-in session. No experience necessary. Free and open to all. \n\nEmail dmitryb@umich.edu to sign up for the mailing list. You will receive a weekly reminder with the zoom link. Also\, you can add the sessions to your Google Calendar: https://tinyurl.com/y3kbkwd6
UID:40967-21807364@events.umich.edu
URL:https://events.umich.edu/event/40967
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Health & Wellness,Meditation,Mindfulness,Mindfulness\, Meditation,North campus,Stress Reduction,Virtual,Well-being
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20230103T111150
DTSTART;TZID=America/Detroit:20230215T120000
DTEND;TZID=America/Detroit:20230215T130000
SUMMARY:Livestream / Virtual:PICS International Studies Virtual Information Session and Q&A
DESCRIPTION:Please note: This information session will be held virtually ET through Zoom. This webinar is free and open to the public\, but registration is required. Once you've registered\, the joining information will be sent to your email.\n   \n   Register at: https://myumi.ch/7eZq9\n   \n   Students considering a major or minor in International Studies are strongly encouraged to attend an International Studies Information Session and Q&A. International Studies academic advisors will discuss:\n   \n   • Prerequisites\n   • Major and minor requirements\n   • Sub-plans\n   • How to declare\n   • Additional majors and minors offered at the International Institute\n   • Study abroad\, grants\, and internships\n   • Relevance of an International Studies major or minor\n   \n   Undeclared students should plan to attend an International Studies Information Session and Q&A. For dates of all upcoming sessions\, please review the PICS event calendar. If you have questions\, please email is-advising@umich.edu.\n   \n   A half-hour presentation will be followed by questions and discussion. Students can declare the International Studies major or minor at the information session. For more information\, please email is-advising@umich.edu.\n   \n   Parents and prospective students are welcome. For more information\, please email is-michigan@umich.edu. Prospective students who would like to receive correspondence about International Studies related orientations\, events\, and special announcements should sign up for the International Studies Prospective Student email list: https://myumi.ch/29DWZ\n\nIf there is anything we can do to make this event accessible to you\, please contact us at is-michigan@umich.edu. Please be aware that advance notice is necessary as some accommodations may require more time for the university to arrange.
UID:102684-21804981@events.umich.edu
URL:https://events.umich.edu/event/102684
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:international,Majors
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20221215T162044
DTSTART;TZID=America/Detroit:20230215T121500
DTEND;TZID=America/Detroit:20230215T124500
SUMMARY:Well-being:VIRTUAL | CEW+INSPIRE MIDWEEK MINDFULNESS GUIDED SITS
DESCRIPTION:RSVP here: https://umich.zoom.us/meeting/register/tJAqceGoqDosHN15uxUlzCWWN6qwjNjSQpj_ \n\nJoin us in community to practice mindfulness meditation\, a life-enhancing skill that can be learned with consistent practice. This formal\, largely-guided\, practice utilizes evidence-based cognitive training that bolsters one's ability to handle stress\, poor mood\, and threat.  This weekly mindfulness practice encourages present moment\, non-judgemental\, awareness – noticing where your focus and attention are and continually inviting attention to current mind and body sensations in a kind and compassionate way.\n\nMindfulness meditation opens the possibility to pause\, gain perspective\, attend to the present\, and respond accordingly. In our ever-changing\, complex\, and challenging world\, mindfulness can provide grounding. As one form of contemplative practice\, mindfulness meditation can offer a framework to support a more skillful approach to navigating the demands of being human and support practitioners to build resilience and take compassionate action.\n\nWhether you are new to mindfulness meditation or are an experienced practitioner\, each session is designed to offer guidance and support to assist you. All are welcome to attend weekly or drop-in as their schedule allows.
UID:96537-21803811@events.umich.edu
URL:https://events.umich.edu/event/96537
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mindfulness,Virtual,Well-being,Wellness,women's health,Work-life Balance,Zoom
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220812T085315
DTSTART;TZID=America/Detroit:20230215T123000
DTEND;TZID=America/Detroit:20230215T160000
SUMMARY:Conference / Symposium:Learning Without Violence: A School Violence Prevention Virtual Summit
DESCRIPTION:The University of Michigan Injury Prevention Center in partnership with the National Center for School Safety and the University of Michigan Institute for Firearm Injury Prevention has organized a unique event for researchers\, post-doctoral fellows\, and students to disseminate research\, facilitate new collaborations\, and explore school violence prevention strategies.
UID:96806-21793329@events.umich.edu
URL:https://events.umich.edu/event/96806
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:conference,Faculty,Graduate Students,Gun Assault,Injury Prevention,Postdoctoral Research Fellows,Professional Development,Public Health,Research,School Violence Prevention,symposium,Undergraduate Students,Violence,Virtual,Webcast
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20230302T123117
DTSTART;TZID=America/Detroit:20230215T130000
DTEND;TZID=America/Detroit:20230215T133000
SUMMARY:Careers / Jobs:4 Steps to Develop a Growth Mindset & Accelerate Your Career
DESCRIPTION:Have you ever felt that setbacks mean you don’t have what ittakes to succeed? Or perhaps you think you never will because you’re not good at something?\n\nWhat if we told you that your ability is malleableand setbacks are pointers indicating that you have the opportunity to learn? A growth mindset is vital to help you accept setbacks as a part of thelearning process and feel empowered to reach your career goals.\n\nAlex LeClair\, Global Head of Capital Markets at AlphaSights\, will be speaking with a leading career coach\, Natasha Weller\, to discuss how to develop and benefit from a growth mindset - in your studies and career.\n\nIn this webinar you will:\n-Learn the value of a growth mindset and how it can setyou apart from others\n-Gain actionable advice for developing and nurturing a growth mindset to win in the world of work!\n-Have your questions answered live \n\n
UID:104087-21808424@events.umich.edu
URL:https://events.umich.edu/event/104087
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20230203T115833
DTSTART;TZID=America/Detroit:20230215T130000
DTEND;TZID=America/Detroit:20230215T140000
SUMMARY:Presentation:Curating and Visualizing Inspiration through Data: The Places and People that Connect Katherine Dunham’s Repertory
DESCRIPTION:We know that touring is important for performing artists\, but how do we better understand the connections between performers and the places they travel to? In Dunham’s Data: Katherine Dunham and Digital Methods for Dance Historical Inquiry\, our team (Harmony Bench\, Kate Elswit\, Antonio Jimenez-Mavillard\, Tia-Monique Uzor) manually curated datasets that documented the African American choreographer’s daily whereabouts from 1937-1962\, the dancers\, singers\, and musicians who joined her as she traveled the world\, as well as how she reimagined the places she traveled in her choreography. \n\nFor this presentation\, we’ll offer an overview of the Dunham’s Data project as a whole and key takeaways\, with specific focus on data curation\, analysis\, and visualization that accounts for Dunham’s multidirectional inspiration and influence.\n\nPresented by Harmony Bench and Kate Elswit for Dunham’s Data: Katherine Dunham and Digital Methods for Dance Historical Inquiry.\n\nThis webinar is free and open to the public.
UID:104477-21809121@events.umich.edu
URL:https://events.umich.edu/event/104477
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art,Dance,Research,Social Sciences
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20230130T111633
DTSTART;TZID=America/Detroit:20230215T130000
DTEND;TZID=America/Detroit:20230215T140000
SUMMARY:Lecture / Discussion:HET Brown Bag Seminar | Detecting knot topology from Chern-Simons theory
DESCRIPTION:The topological knot invariants can be studied in the context of Chern-Simons theory both in the non-perturbative and the perturbative regimes. In the former case polynomial knot invariants can be obtained while in the latter case the so called Vassiliev knot invariants arise. Recent work in the non-perturbative regime has been done with the incorporation of entanglement entropy computations associated with knot states\, while in the perturbative regime the Vassiliev invariants have been extended to include information of a vector field in the theory.
UID:104216-21808659@events.umich.edu
URL:https://events.umich.edu/event/104216
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:brown bag,Brown Bag Seminar,Physics,Science
LOCATION:Randall Laboratory - 3481
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20230118T090010
DTSTART;TZID=America/Detroit:20230215T130000
DTEND;TZID=America/Detroit:20230215T140000
SUMMARY:Lecture / Discussion:The Pandora's Box of Autonomous Vehicles (AVs)
DESCRIPTION:Professor Cummings will detail lessons learned in her recent role as the National Highway Traffic Safety Administration (NHTSA) Senior Safety Advisor\, including an examination of the use (or lack thereof) of systems engineering principles\, the need for formalized safety cultures\, and what technology and policy mitigations are needed to advance autonomous vehicle (AV) applications.\n---\nAbout the speaker: Professor Mary (Missy) Cummings received her B.S. in Mathematics from the US Naval Academy in 1988\, her M.S. in Space Systems Engineering from the Naval Postgraduate School in 1994\, and her Ph.D. in Systems Engineering from the University of Virginia in 2004. A naval officer and military pilot from 1988-1999\, she was one of the U.S. Navy’s first female fighter pilots. She is a Professor in the George Mason University Mechanical Engineering\, Electrical and Computer Engineering and Computer Science departments. She is an American Institute of Aeronautics and Astronautics (AIAA) Fellow\, and recently served as the senior safety advisor to the National Highway Traffic Safety Administration. Her research interests include embedded artificial intelligence in safety-critical systems\, assured autonomy\, human-systems engineering\, and the ethical and social impact of technology.
UID:103578-21807510@events.umich.edu
URL:https://events.umich.edu/event/103578
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Discussion,Education,Electrical Engineering and Computer Science,Engineering,Faculty,Free,Graduate and Professional Students,Graduate Students,Lecture,Mechanical Engineering,Michigan Engineering,Research,Robotics,seminar,Talk,Virtual,Webcast
LOCATION:Transportation Research Institute - Room 139
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20230110T161831
DTSTART;TZID=America/Detroit:20230215T133000
DTEND;TZID=America/Detroit:20230215T150000
SUMMARY:Workshop / Seminar:CoderSpaces: Wednesdays Winter 2023
DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you. \n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.
UID:103188-21806279@events.umich.edu
URL:https://events.umich.edu/event/103188
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data,Data Science
LOCATION:Off Campus Location - https://umich.zoom.us/j/98659357324
CONTACT:
END:VEVENT
END:VCALENDAR