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SUMMARY:Small Town Police Accountability: A Data Science Toolkit - Anna Ha
 ensch\, Ariana Mendible
DTSTART;TZID=America/Chicago:20230714T104500
DTEND;TZID=America/Chicago:20230714T111500
DTSTAMP:20261007T035920Z
UID:pretalx-2023-AXPZZG@cfp.scipy.org
DESCRIPTION:In this talk we will share a Python library to obtain and anal
 yze policing data\, that was developed in conjunction with community activ
 ists\, data scientists\, social scientists and the Small Town Police Accou
 ntability (SToPA) Research Lab.  We will showcase components of the SToPA 
 library which use Python tools such as web drivers\, optical character rec
 ognition\, geospatial mapping\, machine learning and statistical sampling 
 to better understand the policing landscape.  The goal of this work is to 
 present an easily replicable framework for analyzing police and community 
 interactions with accessible on-ramps for activists\, developers and resea
 rchers.
LOCATION:Grand Salon C
URL:https://cfp.scipy.org/2023/talk/AXPZZG/
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