Colombian Conflict Literature Review on Drones and Autonomous Weapons
by Juan Camilo León Pamplona·Updated 2mo ago
1.2 MB3files
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Description
Juan Camilo León Pamplona's dataset systematizes literature on technology and warfare, focusing on drones and Lethal Autonomous Weapon Systems (LAWS) in the Colombian context post-2016 Peace Agreement. The 1.2 MB XLSX file contains a conceptual framework distinguishing UAV/UAS, automation versus autonomy, and controversies over responsibility, proportionality, and distinction in International Humanitarian Law. It serves to map the field, categorize findings, and build an analytical agenda for war and post-conflict studies.
Use Cases
Analyze the conceptual framework for UAV/UAS and LAWS to map disciplinary approaches and research lines in the literature.
Categorize findings from the scope review to identify knowledge gaps and debates on responsibility and proportionality in International Humanitarian Law.
Compare concepts of automation versus autonomy across the systematized literature to trace evolving technological and ethical discussions.
Build an analytical agenda for studying emerging military technologies in post-conflict contexts, specifically referencing the Colombian case.
Strengths
Provides a structured conceptual framework on UAV/UAS and LAWS, distinguishing key technological and legal concepts.
Focuses on the specific post-2016 Colombian conflict context, offering regional relevance for peace and security studies.
Dataset is openly licensed under CC BY 4.0, facilitating reuse and analysis.
Limitations
Dataset scale is small at 1.2 MB, indicating limited raw data or a primarily qualitative, literature-based structure.
Unknown row and column counts prevent assessment of quantitative scope or feature depth for statistical modeling.
Content is a literature review; it contains synthesized analysis rather than primary observational or event data.
Provenance
Source
Juan Camilo León Pamplona via figshare.
Collection Method
Scope review and systematization of available literature.
Time Range
Literature review context, with specific reference to post-2016 period.
Freshness
Last updated March 13, 2026.
Geography
Colombia.
Data is contained in an XLSX file; content is qualitative and conceptual, not a large-scale tabular dataset for traditional ML.