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The purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions.

It formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linear program to determine an optimal flow configuration that minimizes the time required to complete an evacuation. This solution considers the capacity and resource constraints of multiple transportation modes and effectively allocates the limited assets across a time-staged network to create a feasible evacuation plan. That solution is post-processed and a vehicle routing procedure then produces a high resolution schedule for each individual asset throughout the entire duration of the NEO.

This work makes a clear improvement in the decision-making and resource allocation methodology currently used in a NEO on the Korea peninsula. It immediately provides previously unidentifiable information regarding the scope and requirements of a particular evacuation scenario and then produces an executable schedule for assets to facilitate mission accomplishment.

The significance of this work is not relegated only to evacuation operations on the Korean peninsula; there are numerous other NEO and natural disaster related scenarios that can benefit from this approach.

The remarkable increase of sophistication of artificial intelligence in recent years has already led to its widespread use in martial applications, the potential of so-called “killer robots” ceasing to be a subject of fiction. The purpose of this paper is to re-examine the consequences of the availability of lethal autonomous robots (LARs) on global peace.

Virtually without exception, the aforementioned potential of LARs has generated fear, as evidenced by a mounting number of academic articles calling for the ban on their development and deployment. An analysis of the existing ethical objections to LARs is used as a vehicle for their critique and the advancement of an alternative.

The presented analysis shows the contemporary thought to be deficient in philosophical rigour, these deficiencies leading to a different view, one favourable to the development of LARs.

The emergent thesis is that LARs can in fact be a force for peace, leading to fewer and less deadly wars.

The purpose of this study is to analyse the crisis network response of European countries and the role played by defence organizations (DOs) during the early response phase of the pandemic, here set to encompass 75 days.

Published materials – reports, news and communications – provided by authorities and DOs were used. Some of the authors actively participated in national pandemic response networks. An exploratory approach and qualitative content analysis were applied. The data were collected in national languages from 13 European countries, and they were coded and analysed using the actors, resources and activities (ARA) framework.

This study identified three main categories of activity structures in which the DOs interacted with civilian members of response networks, health-related services, logistics services and public support services. These networks among actors were found within formal response systems and emergent networks. The DOs engaged as actors that provided a range of services when civil authorities could not cope with the huge demand for specific services and when resources were scarce in the initial response phase.

This study contributes by filling an important research gap with regard to the civil-military relations associated with the use of DO resources in the civil response to the pandemic crisis in Europe, which is described as an untraditional response. The ARA network approach provides a framework for arranging ARA and extends the wider civil-military network to expand the formal networks of the early crisis response. The study lays knowledge about the co-operation between civilian and military actors in different contexts and provides a broader understanding of the roles that DOs played in the response operations.

The purpose of this study is twofold; first, it aims to understand the underlying dynamics of the organizations behind the terrorist attacks, and second, to investigate the dynamics of terrorist organizations in relation to one another to detect whether there exist shared patterns of terror between different organizations.

To achieve this purpose, the researcher proposes a computational algorithm that extracts data from global terrorism database (GTD); calculates similarity indices between different terrorist groups; generates a network data file from the calculated indices; and apply network analysis techniques to the extracted data. The proposed algorithm includes applying SQL database codes for data extraction, building a tailored C# computer software to calculate similarity indices and generate similarity networks and using GEPHI software to visualize the generated network and calculate network metrics and measures.

Applying the proposed algorithm to Egypt, the results reveal different shared patterns of terror among different terrorist groups. This helps us in creating a terror landscape for terrorist groups playing in Egypt.

The importance of the study lies in that it proposes a new algorithm that combines network analysis with other data-manipulation techniques to generate a network of similar terror groups.