Predicting crime (without the pre-cogs) /

Saved in:
Bibliographic Details
Author / Creator:Henderson, M. Todd, author.
Imprint:Chicago, Illinois : Law School, University of Chicago, May 13, 2008.
Description:1 online file (1 audio file) (68 min., 30 sec.) : digital, stereo, MP3.
Language:English
Series:Chicago's best ideas
Chicago's best ideas.
Subject:
Format: Spoken word recording Audio E-Resource Streaming Audio
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/9858988
Hidden Bibliographic Details
Other authors / contributors:University of Chicago. Law School, host institution.
Computer file characteristics:MP3.
Sound characteristics:digital stereo
Digital file characteristics:audio file MP3 128Kbps
Notes:Recorded May 13, 2008, posted July 24, 2008.
Summary:"In the absence of pre-cognitive superbeings and Tom Cruise, how are police and policy makers supposed to allocate scarce crime-fighting resources? There is a vibrant academic literature on predicting crime, with models of various types offered as the best way of estimating future crime rates. Many of these involve mapping software, which plots the past in the hopes of extrapolating to the future. Police use some of these techniques, but most are very crude, using things like weather or the location of liquor stores as "hot spots" to estimate crime rates. Police also use experience and gut instinct. All of the various methods, whether formal models or inside the head of the commissioner of police, are deployed in haphazard and isolated ways. In this lecture, Professor Henderson presents an alternative ... This talk was recorded May 13, 2008 as part of the Chicago's Best Ideas lecture series."--Law School faculty podcast webpage.