BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv5.10.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://events.seas.upenn.edu
X-WR-CALDESC:Events for Penn Engineering Events
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210908T153000
DTEND;TZID=America/New_York:20210908T163000
DTSTAMP:20211026T095938
CREATED:20210812T162311Z
LAST-MODIFIED:20210813T143020Z
UID:5154-1631115000-1631118600@events.seas.upenn.edu
SUMMARY:CBE Seminar: "No Equations\, No Variables\, No Space\, No Time: Data and the Modeling of Complex Systems”
DESCRIPTION:Abstract \nObtaining predictive dynamical equations from data lies at the heart of science and engineering modeling\, and is the linchpin of our technology. In mathematical modeling\, one typically progresses from observations of the world (and some serious thinking!) first to equations for a model\, and then to the analysis of the model to make predictions. Good mathematical models give good predictions (and inaccurate ones do not)\, but the computational tools for analyzing them are the same: algorithms that are typically based on closed form equations. \nWhile the skeleton of the process remains the same\, today we witness the development of mathematical techniques that operate directly on observations data\, and appear to circumvent the serious thinking that goes into selecting variables and parameters and deriving accurate equations. The process then may appear to the user a little like making predictions by “looking in a crystal ball”. Yet the “serious thinking” is still there and uses the same – and some new – mathematics: it goes into building algorithms that jump directly from data to the analysis of the model (which is now not available in closed form) so as to make predictions. Our work here presents a couple of efforts that illustrate this ”new” path from data to predictions. It really is the same old path\, but it is traveled by new means. \n
URL:https://events.seas.upenn.edu/event/cbe-seminar-no-equations-no-variables-no-space-no-time-data-and-the-modeling-of-complex-systems/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical%20and%20Biomolecular%20Engineering":MAILTO:chebiom@seas.upenn.edu
END:VEVENT
END:VCALENDAR