BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ExpressionEngine Easy iCalendar plugin//NONSGML v1.1.1//EN
BEGIN:VEVENT
UID:event
LOCATION:Butler Library\, Studio@Butler
DTSTAMP:20210221T33600Z
DTSTART;TZID=America/New_York:20190328T160000
DTEND;TZID=America/New_York:
SUMMARY:Machine Learning and Human Interpretive Theory
DESCRIPTION:The boundary between the humanities and quantitative social 
 sciences has become permeable lately. But principled doubts 
 about the humanistic significance of numbers can’t be disp
 elled by terms like “big data” that seem to point at the
  sheer speed and scale of computers. This talk will instead 
 explore the interpretive assumptions that underpin statistic
 al models\, using examples drawn from the history of fantasy 
 and science fiction to show how machine learning can be used
  to model specific historical vantage points and measure the
  parallax between perspectives. It is getting easier to move
  between qualitative and quantitative disciplines\, I will ar
 gue\, not because data is big\, but because practices of stati
 stical modeling have quietly drifted toward humanistic theor
 ies of interpretation.
END:VEVENT
END:VCALENDAR