Studies of gun violence (homicides, assaults, suicides) are important, but more studies are needed of public attitudes towards gun violence… public attitudes drive policy via pressure on legislators to either pass more restrictive to more lenient gun legislation.

Did you find any modeling analysis of police-involved shootings (police shootings of civilians) in your literature review? My team is doing a network contagion analysis of police shootings, using Chicago data. Would be interested in knowing what other modeling work might be out there on police shootings. We should be sure to include police shootings in the definition of gun violence.

How much weight do you think "broken window theory" has with gun violence, not just general crime?

Can you describe the current availability of data related to gun violence?

Spatial temporal models of violence need to incorporate both environmental effects that change only slowly and also rapidly changing dynamics such as network analysis. Do any models incorporate both?

Why do we need additional approaches (e.g., control theory, ABMs)? Are there examples when simple models failed?

If our data are coarse, why do we need complex models?
What questions are we asking in this area of research
... that we need models for?

I can imagine that the data are simply #crimes (specific type) per certain area and some metadata (gun, type, people involved, etc.). Is there more to it? If there is, what is it?

Data wise: if NIBRS is truly moving nationwide by 2021, it will become one of the better gun use datasets
(see article: https://onlinelibrary.wiley.com/doi/abs/10.1111/1745-9133.12336 "The Future of Crime Data: The Case for the National Incident‐Based Reporting System (NIBRS) as a Primary Data Source for Policy Evaluation and Crime Analysis")

Do you know if people have used Internet data streams such as Twitter, Reddit, or Facebook to study gun violence? Or contagion?