Presentation Title

IDENT: Integrated Discovery of Emerging and Novel Technologies Project

Presenter Information

Jenna LaTouretteFollow

Panel Name

Emerging Technologies in Homeland Security and Emergency Preparedness

Location

Lecture Center Concourse

Start Date

3-5-2019 2:00 PM

End Date

3-5-2019 5:00 PM

Presentation Type

Multimedia/Creative Presentation

Abstract

Disruptive and emerging technologies have the potential to facilitate the threat of weapons of mass destruction. As a result, the need to build a repeatable, scalable system to identify and assess such technologies has been identified. For this particular portion of the project, the Terrorist Technology Adoption Model (T-TAM) has been ran against different violent, non-state actors including terrorists and other large organized criminal groups. Through open-source research, empirical values for different variables have been found regarding technologies that IDENT has identified and the groups’ ability and motivation to adopt them. There are many factors such as group dynamic and the size of their network with other organizations that impact their capabilities to access new technologies. Through data collection, the use of emerging technology is assessed to identify specific threats.

Select Where This Work Originated From

Internship Project

First Faculty Advisor

Gary Ackerman

First Advisor Email

gackerman@albany.edu

First Advisor Department

College of Emergency Preparedness, Homeland Security and Cyber Security

The work you will be presenting can best be described as

Finished or mostly finished by conference date

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May 3rd, 2:00 PM May 3rd, 5:00 PM

IDENT: Integrated Discovery of Emerging and Novel Technologies Project

Lecture Center Concourse

Disruptive and emerging technologies have the potential to facilitate the threat of weapons of mass destruction. As a result, the need to build a repeatable, scalable system to identify and assess such technologies has been identified. For this particular portion of the project, the Terrorist Technology Adoption Model (T-TAM) has been ran against different violent, non-state actors including terrorists and other large organized criminal groups. Through open-source research, empirical values for different variables have been found regarding technologies that IDENT has identified and the groups’ ability and motivation to adopt them. There are many factors such as group dynamic and the size of their network with other organizations that impact their capabilities to access new technologies. Through data collection, the use of emerging technology is assessed to identify specific threats.