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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20260111T110533
DTSTART;TZID=America/Detroit:20260128T120000
DTEND;TZID=America/Detroit:20260128T133000
SUMMARY:Workshop / Seminar:Inequality & Social Demography (ISD) Workshop
DESCRIPTION:- January 21: Mila Listrovaya\, Katie Leu\n- January 28: Charles Katulamu\n- February 5: Haorui Peng \n- February 18: Johanna Oh \n- March 11: Janet Wang\, Cayley Ryan-Claytor\n- March 25: Nafeesa Andrabi \n- April 8: Nils Neumann\n- April 22: Junchao Tang
UID:143660-21893591@events.umich.edu
URL:https://events.umich.edu/event/143660
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Student
LOCATION:LSA Building - 4147
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251218T135742
DTSTART;TZID=America/Detroit:20260128T120000
DTEND;TZID=America/Detroit:20260128T130000
SUMMARY:Presentation:Material Conversations: A Focus on Glass
DESCRIPTION:Catie Newell\, professor of architecture at Taubman College and founding principal of Alibi Studio\, will speak about her work exploring the illuminative qualities of glass through form\, color\, and transparency demonstrated through site-specific works and material research.\n\nNewell's most recent work explores glass as a building unit that both transforms and modulates light. Light Forms are \"cast glass modules that work architecturally\, allowing light to transfer through them\, aggregating together several different tessellations to make spaces with different textures and optical qualities.\"\n\nYou will soon see Light Forms in action\, in \"Inhabiting Light\" at Magnolia Glade in Nichols Arboretum.
UID:142914-21891803@events.umich.edu
URL:https://events.umich.edu/event/142914
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Architecture,Free,Library
LOCATION:Duderstadt Center - Material Collection, 2nd floor - Art, Architecture, and Engineering Library
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260126T121242
DTSTART;TZID=America/Detroit:20260128T120000
DTEND;TZID=America/Detroit:20260128T130000
SUMMARY:Workshop / Seminar:Mathematical Biology Seminar: How much data is needed to validate multiscale models of viral infections?
DESCRIPTION:Uncertainty in parameter estimates from fitting mathematical models to empirical data limits the model’s ability to uncover mechanisms of interaction. Understanding the effect of model structure and data availability on model predictions is important for informing model development and experimental design. To address sources of uncertainty in parameter estimation\, I will present methodologies that can help determine when a model can reveal its parameters. I will apply them in the context of virus infections in animals and humans at within-host\, population\, and multiscale levels.  Using these approaches\, I will provide insight into the sources of uncertainty and provide guidelines for the types of model assumptions\, optimal experimental design\, and biological information needed for improved predictions.\n\nThis seminar is hybrid: meeting in Weiser 296 and via Zoom:\nhttps://umich.zoom.us/j/97725897086\nMeeting ID: 977 2589 7086\nPasscode: mathbio
UID:143969-21895434@events.umich.edu
URL:https://events.umich.edu/event/143969
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Biology,data,Life Science,Mathematical Biology,Mathematical Modeling,Mathematics
LOCATION:Weiser Hall - 296
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260107T161642
DTSTART;TZID=America/Detroit:20260128T120000
DTEND;TZID=America/Detroit:20260128T130000
SUMMARY:Lecture / Discussion:MPSDS / JPSM Seminar Series:  Sensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach
DESCRIPTION:MPSDS / JPSM Seminar Series\nMPSDS M3 Series: Mastery\, Methodology\, Meetups\n\nIn person\, room 1070 Institute for Social Research\, and via Zoom. \nThe Zoom call will be locked 10 minutes after the start of the presentation.\n\nSensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach\n\nSelection bias in survey estimates is a major concern\, affecting both nonprobability samples and probability samples with low response rates. The proxy-pattern mixture model (PPMM) offers a method for conducting a sensitivity that assumes a nonignorable selection mechanism\, where selection depends on survey outcomes of interest. This approach requires summary-level auxiliary information for the target population of interest from a reference data source. While PPMM methods have been successfully applied to derive overall population-level estimates\, extension to domain-level estimates is challenging when population-level summaries for the specific subgroup are unavailable. This occurs when the domain indicator is observed only in the survey\, or for complex intersectional subgroups where stable/reliable population-level auxiliary variable estimates are unavailable. To combat this issue\, we propose a novel approach: creating nonignorable selection weights based on the PPMM based on a re-expression of the PPMM as a selection model. These weights can be directly applied to calculate domain-level estimates\, circumventing the need for domain-specific population-level summaries of auxiliary variables. They rely on a single sensitivity parameter (ranging from 0 to 1) that captures a spectrum of nonresponse assumptions\, ranging from an ignorable mechanism to an extreme nonignorable mechanism. We discuss differences in weight construction for continuous versus binary outcomes\, describe the necessary assumptions for these weights to produce informative domain-level estimates\, and illustrate properties through simulation. We then apply the approach to the Census Household Pulse Survey to estimate various subgroup quantities under a range of assumptions on the selection mechanism.\n\nRebecca R. Andridge\, PhD\nThe Ohio State University\nCollege of Public Health\, Division of Biostatistics\nAssociate Dean for Undergraduate Studies\nProfessor of Biostatistics\n\nDr. Andridge's research is focused on imputation methods for missing data\, primarily when missingness is driven by the missing values themselves (missing not at random)\, and on measures of selection bias for nonprobability samples. She also works on statistical challenges that arise in analysis of data from group-randomized trials. She collaborates with researchers across campus\, including the Institute for Behavioral Medicine Research\, the Nisonger Center for Excellence in Developmental Disabilities\, and The OSU Comprehensive Cancer Center\, and serves as Lead Methodologist for several state-sponsored population-based surveys. She is an Elected Fellow of the American Statistical Association (2020).
UID:143425-21893147@events.umich.edu
URL:https://events.umich.edu/event/143425
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Anthropology,Biomedical,Biosciences,brown bag,Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Discussion,Free,Health Data,In Person,Lecture,Public Health,seminar,Survey Methodology,Survey Methods,Survey Research,symposium,Virtual
LOCATION:Off Campus Location - Room 1070, Institute for Social Research
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260105T151127
DTSTART;TZID=America/Detroit:20260128T120000
DTEND;TZID=America/Detroit:20260128T133000
SUMMARY:Workshop / Seminar:Power and Partnerships in Community Engagement
DESCRIPTION:Developing equitable and mutually beneficial partnerships with community members and organizations requires taking a critical look at how power operates in university-community partnerships. This interactive workshop will introduce participants to key principles of equity-focused community engagement and discuss how relationships of power shape university-community partnerships for research and student learning. We’ll consider how power operates in such areas as: the structure and terms of partnership agreements\, participation dynamics in university-community projects\, and funding/compensation. Participants will generate strategies for re-shaping inequitable power dynamics\, share insights with colleagues\, and identify ways to apply key principles to their own community-engaged work. \n\nThis session is designed especially for participants who are involved in (or interested in) community-engaged research\, teaching & learning\, project/program administration\, and/or campus initiatives at Michigan. \n\nOpen to faculty\, staff\, admin\, and post-docs. Graduate students who are interested in attending can email ginsberginfo@umich.edu for more information.\n\nThis session is not open to undergraduate students.\n\nRegister: https://sessions.studentlife.umich.edu/track/event/session/104215
UID:143221-21892509@events.umich.edu
URL:https://events.umich.edu/event/143221
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Advocacy,Community Engagement,Community Organzing,Faculty,Free,Staff,Workshop
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260212T063150
DTSTART;TZID=America/Detroit:20260128T120000
DTEND;TZID=America/Detroit:20260128T130000
SUMMARY:Careers / Jobs:Resume Lab
DESCRIPTION:*RSVP required to attend. Click \"Join Event\" here: https://umich.joinhandshake.com/edu/events/1878444Just getting started building a resume? Have a draft but not sure how to make it better? Want to learn about resources available to revise your resume? Wherever you’re at Resume Lab is a great next step for you. Get real-time\, personalized support in a small group setting by checking out the Resume Lab.We will discuss and educate you on…- Design andformat- Writing a great bullet point- Targeting your resumefor specific internships/jobs If you're a Graduate Studentor Recent Grad\, please make a 1:1 appointment instead of attending the Lab because this event is designed for undergraduates. Note:This event's information is shown in Handshake as well as on the Happening @ Michigan calendar so that it will be seen by a larger number of U-M Students.#UCC
UID:142999-21891932@events.umich.edu
URL:https://events.umich.edu/event/142999
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260224T101438
DTSTART;TZID=America/Detroit:20260128T120000
DTEND;TZID=America/Detroit:20260128T160000
SUMMARY:Exhibition:Revolutionary Paine: Andy Murphy Student-Curated Class Exhibit Common Sense
DESCRIPTION:Thomas Paine’s “Common Sense” was one of the most influential works of the American Revolution. The first edition was published on January 10\, 1776\, with an initial print run of just 1\,000 copies\; but within weeks demand soared. The students of Andy Murphy’s POLISCI 495 course co-curated the exhibition “Revolutionary Paine” to document the whirlwind caused by its publication. On view at the Clements January 16-May 8\, weekdays from 12-4 pm.
UID:143999-21894404@events.umich.edu
URL:https://events.umich.edu/event/143999
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Americana,Exhibit,Exhibition,history
LOCATION:William Clements Library - Avenir Foundation Reading Room
CONTACT:
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