R.L. Breiger --
Current/Recent Funded Research Projects (1)
New Analytic Methods for the Exploitation of Open-Source Structured Databases on the Pursuit of WMD Terrorism. Basic Research Grant awarded by the Defense Threat Reduction Agency (DTRA), 2010-2016. ==> A brief 2016 article overviews several of the main research lines pursued. Click to read.
Ronald L. Breiger, Principal Investigator. Co-Principal Investigators: Gary Ackerman, Victor Asal, H. Brinton Milward, R. Karl Rethemeyer. This is a project of the University of Arizona in partnership with the University at Albany-SUNY and the National Consortium for the Study of Terrorism and Responses to Terrorism (START) at the University of Maryland. The research seeks to enhance and leverage existing open-source datasets on violent non-state actors in order to develop new analytical tools to model human networks engaged in the pursuit of chemical, biological, radiological, and nuclear (CBRN) weapons.
Unifying Approaches to Adversarial Modeling. Department of Homeland Security (DHS), Science and Technology Directorate, Office of University Programs Award Number 2012-ST-061-CS0001, Project 3.4, made to the National Consortium for the Study of Terrorism and Responses to Terrorism (START). 2015-2017.
Ronald L. Breiger, H. Brinton Milward, and Charles Ragin, Principal Investigators. The objective of this project is to bridge and unify important aspects of quantitative and qualitative approaches so as to predict relevant phenomena such as the impact of specific ideological components on propensity for attacks of specific types (defined both by target and method), as well as, simultaneously, to identify specific groups most likely to engage in particular types of adversarial activities.
Securing Cyber Space: Understanding the Cyber Attackers and Attacks via Social Media Analytics. Research grant awarded by the National Science Foundation (NSF), Program on Secure and Trustworthy Cyberspace (SaTC), 2013-2017. Click here for grant website.
Hsinchun Chen, Principal Investigator. Co-Principal Investigators: Ronald L. Breiger, Salim Hariri, Thomas Holt. Web mining and machine learning technologies are used in tandem with social science methodologies to study hacker community structure, content, and behaviors; markets; artifacts; and cultural differences.