![]() Because we have the ability to run these mathematical equations, we can provide information that shows patterns. The focus on cases doesn't allow researchers to then make sense of what the underlying behavior is. If you go too deep on a single case it's difficult then to abstract it back again, because all the cases are different. It was super interesting but it tended to be focused on cases, and what made this case special. Porfiri: One of my research projects started when I attended a meeting that brought together experts from the FBI, psychologists, criminologists, etc. The data can tell you right away what's happening today, and what happened last year.ĬBS: Can you solve gun violence with mathematical equations? So policymakers don't have to wait two years. We build tools that can sort through and understand many different pieces of information including Twitter, background checks, and Google Trends. So if you think of making some policymaking interventions, you are dealing with a data set that is one to two years old.Īs a policymaker, I don't have many tools to make decisions that can help my community with an old data set. Typically a policymaker receives correct information between one to two years after the incident. Official gun data from the CDC has a very, very big delay. Porfiri: In one research project, we created mathematical models that can help a policymaker predict gun homicides, help them make decisions and understand violence better. So that's where I do believe there is a chance of making a big impact. I've seen gun violence research that takes different approaches but there are few mathematical approaches that are robust enough to take nuances into consideration. In gun violence, the level of engineering sophistication is not the same as that you find in other public health areas. Research in gun violence tends to be underfunded, so the field is not going to attract researchers from other fields that can attract innovation.
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