A Comparative Study of Non-State Violent Drone use in the Middle East
Notice bibliographique
Résumé
This report examines the drone programs of five non-state groups operating in the Middle East: Hezbollah, Hamas, the Houthi Movement, Islamic State (IS), and the Kurdish Workers’ Party (PKK). In contrast to other violent non-state actors, these five groups have shown that they are willing to engage in tactical and/or technical innovation in the use of drones, have sustained a long-term engagement with drone technology and demonstrated the capacity to develop drone infrastructure. The development of drone programs by these five different groups is different in terms of timescales, methods, strategies, and tactics. Therefore, the report rejects the notion that all non-state groups’ drone programs follow a similar course of development. Instead, it argues that a terrorist group’s use of drones needs to be situated within the context of that group’s overarching strategic goals. Because of this, we argue that states and militaries that are going up against these groups need to first understand what a specific group hopes to accomplish with drones in order to fully comprehend the specific threat, and secondly understand the specific challenges presented by innovation within drone programs (as opposed to episodic drone use). This report outlines offers a framework for the study of drone innovation which is not limited to these groups, but which could also apply to other groups in the future. It does this by describing five different routes that non-state actors have taken to develop drone technology. This paper has made three important additions to the body of knowledge on this topic through systematic empirical data collection and analysis. First of all, the findings suggest that there is a need to refocus attention away from the most high-profile threat – that of drone-deployed WMDs – and toward the more common and empirically demonstrated methods that groups use when employing drones. We have found no evidence of a non-state group seriously attempting to deliver WMDs by drone. While there are indications that Islamic State (IS) pursued both WMD programs and drone programs in parallel, there is no evidence that they are sought to integrate the two. Security professionals, as such, should focus their attention on the empirically-demonstrated uses of drones by armed non-state groups, and on the plurality of means through which drones can enhance these groups’ activities. Second, scholarship and security planning must concentrate on the particular danger posed by drone programs (as opposed to the occasional use of drones) and the potential for innovation in drone use. When fighting drone programs, nations and armies need to retain a focus on innovation and adaptation, and they must understand how organizations grow tactically, strategically, and technically. Drone development is neither linear nor static. Finally, this report demonstrates that there is no single route of development for the use of drones by non-state entities, nor is there a pattern that these groups want to follow in order to expand their capabilities. Each organization uses drones in a manner that is unique to its own set of logistical, political, and strategic parameters; hence, drone programs need to be positioned within the larger context of the organization’s military means and operations. Therefore, militaries and states that are confronting drone programs need to maintain a holistic approach. While they may draw on existing practices that have had varying degrees of success in countering drone threats and engage in preventive action to mitigate the scope of drone programs, approaches should consider drone programs not only as a distinct, isolated threat, but also as part of broader military operations, strategies, and conflict processes.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
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