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:20231215T123142
DTSTART;TZID=America/Detroit:20231130T140000
DTEND;TZID=America/Detroit:20231130T143000
SUMMARY:Careers / Jobs:Vialto Partners Info Session
DESCRIPTION:We are hosting an Information Session for our current roles and our roles that will be coming up in June of  2024. We will be covering information about Vialto Partners and will be having a Q and A portion. We welcome anyone to come listen and questions are encourage!
UID:115517-21834945@events.umich.edu
URL:https://events.umich.edu/event/115517
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20230922T183435
DTSTART;TZID=America/Detroit:20231130T140000
DTEND;TZID=America/Detroit:20231130T150000
SUMMARY:Livestream / Virtual:Webinar: Estuaries past\, present and future: Using elevations and historical maps to characterize estuarine habitats across 30 National Estuarine Research Reserves
DESCRIPTION:Estuaries are coastal gems. To protect and restore them\, we need a clear understanding of exactly where they are\, where they were\, and where they could be in the future. A team led by the National Estuarine Research Reserves (NERRs) recently completed an ambitious effort to map estuarine habitat in and around the 30 NERRs. They used a powerful combination of NOAA resources for elevation and tidal datums to map the reach of tides\, historical topographic sheets generated by NOAA’s predecessor agency to map past habitat distributions\, and compared this to mapping from USFWS’s National Wetland Inventory (NWI).\n\nElevation-based mapping revealed that estuary extent is greater  than currently mapped in NWI. At more than two-thirds of the Reserves\, the team detected tidal forests missed by NWI.  Comparison of historical maps to NWI revealed dramatically greater loss of tidal wetland extent on the Pacific coast than in other regions. The results of this investigation suggest that multiple mapping methods complement each other and should be integrated to provide a more accurate understanding of estuaries—past\, present and future.
UID:112921-21829783@events.umich.edu
URL:https://events.umich.edu/event/112921
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Environment,Sustainability
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20231120T092548
DTSTART;TZID=America/Detroit:20231130T150000
DTEND;TZID=America/Detroit:20231130T160000
SUMMARY:Workshop / Seminar:899 Seminar Series: Jamie Gorman\, Arizona State University
DESCRIPTION:Bio: Dr. Jamie C. Gorman\, Ph.D. is a Professor in Human Systems Engineering and Deputy Director of the Center for Human Artificial Intelligence and Robot Teaming (CHART) at Arizona State University and Senior Research Personnel with the NSF Institute for Student-AI Teaming at the University of Colorado. Dr. Gorman’s research focuses on dynamical systems and computational models of team coordination. His research is conducted in complex sociotechnical environments\, including medical\, space\, military\, educational\, and sports settings\, focusing on building generalizable models\, metrics\, and measurement systems. Dr. Gorman’s research has been funded by DoD\, NSF\, and industry partners. He is a member of the Human Factors and Ergonomics Society and serves on the editorial boards of Human Factors and the Journal of Experimental Psychology: Applied.\n\nAbstract: Human-autonomy teams operating in dynamic (“perturbed”) environments primarily interact across human and machine elements. However\, most measurements are subjective\, involving observer ratings and survey responses (e.g.\, trust\; influence\; autonomy)\, and there is a need for theoretically grounded\, objective\, and metrics of real-time human-machine coordination states. This talk presents generalizable objective measurement systems for measuring the dynamic spread of trust and distrust through influence\, quantifying team resilience to automation and autonomy failures\, and AI-supported collaborative learning in K -12 education. The practical deployment of measurement frameworks in dashboards and machine learning agents will be discussed.
UID:115393-21834616@events.umich.edu
URL:https://events.umich.edu/event/115393
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:899 Seminar Series,Industrial And Operations Engineering,seminar
LOCATION:Industrial and Operations Engineering Building - IOE 1680
CONTACT:
END:VEVENT
END:VCALENDAR