Jun 29, 2021
From Mass Shootings to Policymaking: A Complex Systems Approach
This study aims to use causal analysis to understand how firearm-related policies, media output, gun ownership, and mass shootings influence one another.
This project seeks to quantify the impact of different types of policies on firearm acquisition and the incidence of mass shootings; and evaluate the role of individual policies within the firearm ecosystem.
Determination of causal relationships in the firearm ecosystem will primarily rely on the use of transfer entropy—a mathematical construct that quantifies the degree to which knowledge about the present status of one variable (for example, restrictive firearm policy) improves predictions about the future status of another variable (for example, mass shootings).The project will quantify of the influence of different types of policies on firearm acquisition and the incidence of mass shootings, and evaluate of the role of individual laws by comparing the amounts of transfer entropy before and after their enactment.
Cause-and-effect relationships in the firearm ecosystem are not fully understood. By unraveling causal relationships between firearm-related policies, media output, gun ownership, and mass shootings, this project will inform legislative actions to mitigate mass shootings, while minimizing the adoption of ineffective policies that would unnecessarily limit firearm owners’ rights.
A Spatiotemporal Model of Firearm Ownership in the United StatesView research
Fame Through Surprise: How Fame-Seeking Mass Shooters Diversify Their AttacksView research [subscription required] View on OSF
Understanding the Role of Media in the Formation of Public Sentiment Towards the PoliceView research
Roni Barak Ventura, B.Sc., M.Sc., received B.Sc. degree in evolutionary biology and ecology from the University of Rochester in 2014, and M.Sc. degree in biomedical engineering from New York University Tandon School of Engineering in 2017. She is currently pursuing a Ph.D at New York University Tandon School of Engineering under the guidance of Professor Maurizio Porfiri. Her research interests include dynamical systems, human behavior, rehabilitation, and human-computer interactions.
- Grant Amount
- Award Type
- New York University
- Roni Barak Ventura, doctoral candidate, New York University Tandon School of Engineering
- Expected Completion Date
- June 2022
- Focus Areas