Personality Traits-Based Terrorism Risk Assessment: Determining Reliability Using Open-Source Data

Author(s):  
Maike Knoechelmann ◽  
Garth Davies ◽  
Logan Macnair

Prominent terrorism case studies of individuals such as Omar Mateen, Dylann Roof, and Mohammed Merah indicate the need for personality trait-based terrorism risk assessment/threat assessment (TR/TA). This chapter provides an overview of Corrado’s, personality-based TR/TA instrument (see Chapter 14) by explaining the origin of each domain and the purpose of inclusion. Furthermore, this chapter displays results from a preliminary instrument validation study conducted on an open-source sample of 158 terrorists. Results of this study suggest strong statistical significance for many of the domains. This suggests the need for future inclusion of personality-based indicators in terrorism risk assessment.

2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.


2018 ◽  
Vol 231 ◽  
pp. 1100-1108 ◽  
Author(s):  
Alaa Alhamwi ◽  
Wided Medjroubi ◽  
Thomas Vogt ◽  
Carsten Agert

Aerospace ◽  
2020 ◽  
Vol 7 (11) ◽  
pp. 158
Author(s):  
Andrew Weinert

As unmanned aerial systems (UASs) increasingly integrate into the US national airspace system, there is an increasing need to characterize how commercial and recreational UASs may encounter each other. To inform the development and evaluation of safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using open source data and parallel processing techniques, we performed trillions of calculations to estimate the relative horizontal distance between geospatial points across sixteen locations.


Author(s):  
Philippe Fournier-Viger ◽  
Jerry Chun-Wei Lin ◽  
Antonio Gomariz ◽  
Ted Gueniche ◽  
Azadeh Soltani ◽  
...  

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