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DTSTART:20070311T020000
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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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