Tandon team captures an elusive shadow: State-by-state gun ownership
Reports and Proceedings
In a new study in the journal Patterns, data scientist and firearm proliferation researcher Maurizio Porfiri, Institute Professor at the NYU Tandon School of Engineering, and co-authors Roni Barak Ventura, a post-doctoral researcher at Porfiri’s Dynamical Systems Lab, and Manuel Ruiz Marin of the Universidad Politécnica de Cartagena, Spain describe a spatio-temporal model to predict trends in firearm prevalence on a state-by-state level by fusing data from two available proxies – background checks per capita and suicides committed with a firearm in a given state. Calibrating their results with yearly survey data, they determined that the two proxies can be simultaneously considered to draw precise information regarding firearm ownership.
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