Predictive Model for Analyzing Homicides in St. Louis: Insights and Challenges
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This presentation by Whitney Cunningham, Jo Pang, Robert Talbott, and Alex Dunagan explores a comprehensive model for predicting homicides in St. Louis City. It encompasses qualitative and quantitative analyses from 1979-2007, discussing critical factors such as age, race, weapon used, and offender-victim relationships. The team highlights the challenges faced, including missing data and lack of neighborhood-specific reporting. Results from the model are shared with an emphasis on practical recommendations for improving future homicide predictions and interventions. Feedback and questions are encouraged.
Predictive Model for Analyzing Homicides in St. Louis: Insights and Challenges
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Presentation Transcript
Presenters: Whitney Cunningham Jo Pang Robert Talbott Alex Dunagan Analytics: a Model for prediction St. Louis City Homicides
Overview • Qualitative Analysis • Initial Quantitative Analysis • Our Model • Results • Challenges • Conclusion
Quantitative Data • Explored topics presented in our qualitative analysis • Uniform Crime Report: 1979-2007 • Age • Race • Weapon Used • Year • Months • Relation between Offender and Victim
Challenges • Not divided by neighborhood • Neighborhoods do not all report this data • Missing data in database • No data from 2007-2010
Our model will be linked here. The model
March 2011 #2: Mark Twain/I-70 Industrial 4 #2: Mark Twain 2 #1: Wells/Goodfellow 2 2 #2: Kingsway West 2 #2: Dutchtown
April 2011 4 #3: Mark Twain 2 #1: Wells/Goodfellow 2 #2: O’Fallon 3 #3: Kingsway West 2 #3: Dutchtown
May 2011 4 3 #1: Wells/Goodfellow #1: O’Fallon #2: Fairground 4 #2: Jeff Vandelou 3 3 #2: Dutchtown
Demographics • Categorization • Time Resources • Material Validity • Data Time Frames Challenges to our model
Please feel free to comment or on question anything. Questions?