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:20250123T120452
DTSTART;TZID=America/Detroit:20250205T120000
DTEND;TZID=America/Detroit:20250205T130000
SUMMARY:Lecture / Discussion:Brown Bag Seminar | Hyperbolic Mass in 2+1 Dimensions
DESCRIPTION:Solutions to general relativity with a negative cosmological constant have received significant attention due to the conjectured AdS/CFT correspondence\, a particularly well-understood example of which is exhibited in 2+1 dimensions. After reviewing known vacuum solutions to general relativity with a negative cosmological constant in 2+1 dimensions\, I will present a gluing theorem for the corresponding vacuum general-relativistic initial data sets. By gluing two given vacuum initial data sets at infinity\, we obtain new vacuum initial data sets. I will sketch the derivation of the mass formulae of the resulting manifolds. For the case of the BTZ black hole\, by invoking usual black hole thermodynamics\, our mass formulae may be interpreted as entropy formulae. Our gluing theorem yields complete manifolds with any mass aspect function\, which are smooth except for one conical singularity.
UID:130849-21867136@events.umich.edu
URL:https://events.umich.edu/event/130849
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Brown Bag Seminar,Physics,brown bag
LOCATION:Randall Laboratory - 3481
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250205T112050
DTSTART;TZID=America/Detroit:20250205T120000
DTEND;TZID=America/Detroit:20250205T133000
SUMMARY:Workshop / Seminar:Demonstrating Your DEI Commitment to Employers
DESCRIPTION:Diversity\, equity\, and inclusion (DEI) aptitude is now highly valued by many employers\, both within and beyond academe. This interactive workshop will show how employers are evaluating DEI in job interviews\, provide opportunities for reflection on how you demonstrate your commitment to DEI\, and provide time for students to practice answering common interview questions related to DEI. This workshop is designed primarily for graduate students seeking non-academic jobs beyond the professoriate.\nLearning objectives:Reflect on ways you are committed to DEI in your research\, teaching\, engagement\, leadership\, or other areasArticulate your commitment to DEILearn about the different methods employers are using to assess job candidates’ commitment to diversityThis workshop fulfills the demonstrating a commitment to diversity requirement for Rackham’s DEI certificate program.This workshop is designed for University of Michigan master's students\, doctoral students\, and postdoctoral fellows. For faculty and staff\, please contact rackhampdeworkshops@umich.edu to see if we can accommodate your attendance.
UID:130186-21865572@events.umich.edu
URL:https://events.umich.edu/event/130186
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Rackham 4th East Conference Room or Virtual via Zoom
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20241219T181543
DTSTART;TZID=America/Detroit:20250205T120000
DTEND;TZID=America/Detroit:20250205T133000
SUMMARY:Workshop / Seminar:Demonstrating Your DEI Commitment to Employers
DESCRIPTION:Diversity\, equity\, and inclusion (DEI) aptitude is now highly valued by many employers\, both within and beyond academe. This interactive workshop will show how employers are evaluating DEI in job interviews\, provide opportunities for reflection on how you demonstrate your commitment to DEI\, and provide time for students to practice answering common interview questions related to DEI. This workshop is designed primarily for graduate students seeking non-academic jobs beyond the professoriate.\nLearning objectives:\n\n\nReflect on ways you are committed to DEI in your research\, teaching\, engagement\, leadership\, or other areas\n\n\nArticulate your commitment to DEI\n\n\nLearn about the different methods employers are using to assess job candidates’ commitment to diversity\n\n\nThis workshop fulfills the demonstrating a commitment to diversity requirement for Rackham’s DEI certificate program.\nThis workshop is designed for University of Michigan master’s students\, doctoral students\, and postdoctoral fellows. For faculty and staff\, please contact rackhampdeworkshops@umich.edu to see if we can accommodate your attendance.\nRegistration is required at https://myumi.ch/8r3jj.\nWe want to ensure full and equitable participation in our events. If an accommodation would promote your full participation in this event\, please follow the registration link to indicate your accommodation requirements. Please let us know as soon as possible in order to have adequate time\, preferably one week\, to arrange for your requested accommodations or an effective alternative.
UID:130213-21865601@events.umich.edu
URL:https://events.umich.edu/event/130213
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students,Diversity
LOCATION:Rackham Graduate School (Horace H.)
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250205T112050
DTSTART;TZID=America/Detroit:20250205T120000
DTEND;TZID=America/Detroit:20250205T133000
SUMMARY:Workshop / Seminar:Demonstrating Your DEI Commitment to Employers
DESCRIPTION:Diversity\, equity\, and inclusion (DEI) aptitude is now highly valued by many employers\, both within and beyond academe. This interactive workshop will show how employers are evaluating DEI in job interviews\, provide opportunities for reflection on how you demonstrate your commitment to DEI\, and provide time for students to practice answering common interview questions related to DEI. This workshop is designed primarily for graduate students seeking non-academic jobs beyond the professoriate.\nLearning objectives:Reflect on ways you are committed to DEI in your research\, teaching\, engagement\, leadership\, or other areasArticulate your commitment to DEILearn about the different methods employers are using to assess job candidates’ commitment to diversityThis workshop fulfills the demonstrating a commitment to diversity requirement for Rackham’s DEI certificate program.This workshop is designed for University of Michigan master's students\, doctoral students\, and postdoctoral fellows. For faculty and staff\, please contact rackhampdeworkshops@umich.edu to see if we can accommodate your attendance.
UID:130186-21865573@events.umich.edu
URL:https://events.umich.edu/event/130186
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Rackham 4th East Conference Room
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250116T145846
DTSTART;TZID=America/Detroit:20250205T120000
DTEND;TZID=America/Detroit:20250205T130000
SUMMARY:Lecture / Discussion:Doing and Achieving Gender: Visualizations and New Methods in Time Use Research
DESCRIPTION:Time-use research offers a powerful lens to examine how individuals—women and men alike—allocate their time across daily activities\, thereby revealing crucial insights into social\, economic\, and behavioral inequalities. Drawing on the American Time Use Survey Extract Builder (ATUS-X)\, this talk will highlight how we can visualize the gendered dimensions of time allocation\, with potential applications ranging from policy-making to workplace reform advocacy.\n\nThe talk will discuss new methods for visualizing time-use data\, including tempograms\, transition diagrams\, and activity flow paths. It will also introduce updates to R packages specifically designed for researchers analyzing ATUS-X and other time-use data to generate clear and compelling visual narratives of daily time patterns—particularly those that underscore gender gaps in paid and unpaid work\, caregiving\, and leisure activities.\n\nIn addition to introducing these visualization tools\, the presentation will explore potential methodological innovations with sequence analysis and machine learning techniques. Sequence analysis offers opportunities to uncover temporal patterns and transitions across activities\, while machine learning applications—such as clustering and predictive modeling—can enhance our understanding of time-use behaviors and their implications.
UID:130463-21866051@events.umich.edu
URL:https://events.umich.edu/event/130463
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Inclusive Research Matters,Gender
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
END:VCALENDAR