Сборник текстов для перевода. Борисова Л.А. - 29 стр.

       In theory, a criminal's intricate planning shouldn't rule out an insanity de-
fense, says clinical psychologist William Carroll, a former defense lawyer who
teaches at John Marshall Law School in Chicago.
       “A person can be extremely intelligent and also crazy as hell”, Carrol
says. “That's hard for a jury to understand.”
       Chris Slobogin, a law and psychiatry professor at the University of Flor-
ida, agrees. In the Unabomber case, however, “The planning didn't just span a
day or two, or a week. It spanned a multi-year period. It would be very difficult
to argue that all of this behavior was caused by psychosis.”
       The Unabomber's seemingly political agenda also spells trouble for the
defense. Mental illness can fuel political beliefs, but jurors who read the Una-
bomber manifesto will likely conclude that “while eccentric and perhaps dan-
gerous, he is nonetheless rational,” Slobogin says.
       Jurors reached that conclusion last year in the trial of John Salvi III, an
anti-abortion extremist who killed two workers at a Boston clinic.
       Salvi's lawyers described him as a severely ill man who believed he was
battling an anti-Catholic conspiracy launched by the Mafia, the Freemasons and
the Ku Klux Klan. A jury found him sane, however. He later killed himself in
prison.
       Jurors also distrust mental illness testimony at sentencing, Sundby says.
But it can be more effective there because the legal standards are easier to meet.
       At sentencing, jurors need only ask whether mental illness distorted the
defendant's perceptions enough that he or she does not deserve to die, Sundby
says. “It's more of a compassion issue.”


                                        TEXT 22

        Spatial Analysis of Crime Using GIS-Based Data: Weighted Spatial
            Adaptive Filtering and Chaotic Cellular Forecasting
                 with Applications to Street Level Drug Markets

      Abstract
       With the recent emphasis towards proactive Community Oriented Polic-
ing and the increase in the use of computerized information systems for data col-
lection police departments are faced with two major problems: (1) how to mine
the vast amounts of data produced by these systems, and (2) how to use this data
to provide information that supports proactive law enforcement.
       This dissertation makes a contribution in this area by providing the model
specification and framework for such tools, a GIS-based data collection system,
and a new spatio-temporal forecasting method – chaotic cellular forecasting
(CCF) – for use by an early warning system for emerging drug markets.


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