Friday, June 7, 2013

Training Webinar: June 20, 2013. Reduce Recidivism using Predictive Analytics

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You Are Invited to Attend this FREE Webcast
Reduce Recidivism using Predictive Analytics

Sponsored by 
IBM  
           

Reduce Recidivism using Predictive Analytics
   
Sponsored by IBM

Thursday, June 20, 2013 at 2:00 pm EST    


Jumpstart your prison reform programs with predictive analytics
software

What if you could take all your prisoner files and determine which interventions would work best for specific types of prisoners? It's now possible with predictive analytics.

Predictive analytics allows agencies to perform complex analyses of millions of files about prison populations, demographics and repeat offenders that reveal trends and patterns hidden in the data.

Attend our complimentary webinar on June 20 at 2:00 EST and learn how predictive analytics can greatly reduce recidivism and accelerate many corrections reform initiatives, such as:  
  • Security and parole planning   
  • Offender movement within the system   
  • Program effectiveness   
  • Population trending   
  • Staffing projections and resource allocations





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Social Media in the Emergency Management Field 2012 Survey Results

Published Date: June 3, 2013
Quite a bit is known about the public’s social media habits, including the public’s expectations concerning emergency management agencies’ use of social media. For example, 76 percent of adults responding to a 2012 American Red Cross survey expect help to arrive in less than three hours if they post an emergency-related request on social media. However, what is not well known are the perspectives of emergency managers toward social media. Do they feel emergency management agencies should be monitoring social media? Do their agencies’ capabilities for social media align with public expectations?
To date, much of the data on social media and emergency management is limited to anecdotal accounts or case studies. Thus, CNA, in partnership with the National Emergency Management Association (NEMA), funded the development and nationwide distribution of a 56-question survey to state, county, and local emergency management and response agencies in late 2012 to answer questions about social media use in emergency management. By taking a survey approach, we were able to provide a broader, complementary perspective to existing anecdotes and case studies. This report provides the key results of that survey.

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