BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:A Visual Model of Collective Behavior in Human Crowds
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260517T213742Z
UID:tag:localist.com\,2008:EventInstance_51436238915912
DTSTART:20251205T160000Z
DTEND:20251205T170000Z
DESCRIPTION:Zoom registration: https://harvard.zoom.us/meeting/register/7ey
 ycgLxT96gm7B4fsIQfQ#/registration\n\n \n\nDisplays of coordinated motion i
 n bird flocks\, fish schools\, and human crowds are believed to emerge fro
 m local interactions between individuals. The crux of the problem thus lie
 s in analyzing the local interactions and the neighborhood over which they
  operate. Most existing models attribute local interactions to metaphorica
 l forces and assume that the positions and velocities of all neighbors are
  known\; hence we refer to them as omniscient models. More realistic model
 s would be based on the sensory information that actually governs local in
 teractions in particular species. I will describe a bottom-up approach to 
 building a visual model of pedestrian interactions and emergent collective
  behavior in human crowds\, based on experiments in virtual reality\, real
  crowd data\, and multiagent simulations. The resulting model can account 
 for collective motion\, the ‘fundamental diagram’ of pedestrian dynami
 cs\, and pattern formation in crossing pedestrian flows. Collective behavi
 or may thus be understood as emerging from the self-organizing dynamics of
  local visual interactions.
LOCATION:
SUMMARY:A Visual Model of Collective Behavior in Human Crowds
URL;VALUE=URI:https://events.seas.harvard.edu/event/a-visual-model-of-colle
 ctive-behavior-in-human-crowds
CATEGORIES:Colloquia / Seminar / Lecture
END:VEVENT
END:VCALENDAR