We are so excited to be attending the 2017 International Association of Crime Analysts (IACA) conference in New Orleans. PredPol was lucky enough to get Chief Scientist, Jeff Brantingham a spot in the class line-up this year.

Jeff Brantingham is a Professor of Anthropology at the University of California Los Angeles. His research focuses on human behavior in complex landscapes and particularly issues of crime pattern formation and policing. He leads the Mathematical Modeling and Simulation of crime project at UCLA, a collaboration between social scientists, mathematicians and police aimed at building practical model-driven tools for real-world crime fighting. Jeff is co-founder of PredPol, a real-time predictive policing platform for law enforcement professionals.

Jeff's class will be about integrating place-based predictive policing and analyst expert knowledge in day-to-day practice. Enjoy this teaser for now, but be sure to join us for the full presentation on Wednesday, September 13th form 3:45-5pm:

Algorithmic methods and human-based intelligence assessments undoubtedly present different strengths and weaknesses when brought to bear on crime analysis problems. Algorithmic methods are able to process volumes of data at scales that are beyond the reach of human capabilities, while intelligence assessments are able to appreciate the complex contributions to risk that cannot be expressed in simple mathematical forms. The ideal approach leverages the strengths of both algorithmic methods and human-based intelligence systems. This class explores ways in which place-based predictive policing methods can be integrated with expert knowledge in day-to-day practice.

We'll be at booth #P-14, be sure to stop by to say hi and receive a demo of our solution.