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X-WR-CALDESC:Events for California Center for Population Research
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DTSTART;TZID=America/Los_Angeles:20240221T120000
DTEND;TZID=America/Los_Angeles:20240221T131500
DTSTAMP:20260504T090107
CREATED:20230928T234739Z
LAST-MODIFIED:20240221T190715Z
UID:10000824-1708516800-1708521300@ccpr.ucla.edu
SUMMARY:CANCELLED: Jens Ludwig\, University of Chicago\, "Machine learning as a tool for hypothesis generation"
DESCRIPTION:Biography:\nJens Ludwig is Edwin A. and Betty L. Bergman Distinguished Service Professor at the University of Chicago\, Pritzker Director of the University of Chicago’s Crime Lab\, co-director of the Education Lab\, and co-director of the NBER’s working group on the economics of crime. He is on the editorial board of the American Economic Review and an elected member of the National Academy of Medicine. \n“Machine learning as a tool for hypothesis generation”\nAbstract:\nWhile hypothesis testing is a highly formalized activity\, hypothesis generation remains largely informal. We propose a systematic procedure to generate novel hypotheses about human behavior\, which uses the capacity of machine learning algorithms to notice patterns people might not. We illustrate the procedure with a concrete application: judge decisions about who to jail. We begin with a striking fact: The defendant’s face alone matters greatly for the judge’s jailing decision. In fact\, an algorithm given only the pixels in the defendant’s mugshot accounts for up to half of the predictable variation. We develop a procedure that allows human subjects to interact with this black-box algorithm to produce hypotheses about what in the face influences judge decisions. The procedure generates hypotheses that are both interpretable and novel: They are not explained by demographics (e.g. race) or existing psychology research; nor are they already known (even if tacitly) to people or even experts. Though these results are specific\, our procedure is general. It provides a way to produce novel\, interpretable hypotheses from any high dimensional dataset (e.g. cell phones\, satellites\, online behavior\, news headlines\, corporate filings\, and high-frequency time series). A central tenet of our paper is that hypothesis generation is in and of itself a valuable activity\, and hope this encourages future work in this largely “prescientific” stage of science.
URL:https://ccpr.ucla.edu/event/jens-ludwig-university-of-chicago/
LOCATION:4240A Public Affairs Bldg
CATEGORIES:CCPR Seminar
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DTSTART;TZID=America/Los_Angeles:20240221T150000
DTEND;TZID=America/Los_Angeles:20240221T170000
DTSTAMP:20260504T090107
CREATED:20240216T204329Z
LAST-MODIFIED:20240216T204433Z
UID:10000848-1708527600-1708534800@ccpr.ucla.edu
SUMMARY:Dr. Florencia Torche “Doing Gender and the Surname Choices of Married Women”
DESCRIPTION: 
URL:https://ccpr.ucla.edu/event/dr-florencia-torche/
LOCATION:279 Haines Hall
CATEGORIES:CCPR Seminar
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