Global Security Seminars (2022–2025): A Structured Dataset on Regional and International Security Dialogue

Global Security Seminars (2022–2025): A Structured Dataset on Regional and International Security Dialogue

This dataset provides a structured, longitudinal record of the Global Security Seminars organised by the Near East Institute, a policy-oriented research institute within Near East University, between 2022 and 2025. The Institute is dedicated to research and informed dialogue on regional and international affairs, with particular attention to conflict, geopolitics, and security dynamics in the Eastern Mediterranean.

The Global Security Seminars are a flagship series of expert discussions and webinars featuring invited academics, policymakers, and practitioners addressing contemporary security challenges across different regions and issue areas. This dataset transforms these qualitative event records into a systematically coded and machine-readable format, enabling comparative, thematic, and longitudinal analysis.

Each seminar is treated as a single entry and coded according to a set of analytical variables, including thematic focus, sub-themes, speaker profiles, regional focus, key topics, and policy relevance. These variables capture both the substantive content of each seminar and its broader relevance to regional and international security debates.

The purpose of structuring the dataset in this way is to move from descriptive event documentation to a research-ready resource that allows for systematic analysis. This includes identifying changes in thematic focus over time, tracking the evolution of regional security debates, and examining shifts in policy-relevant discourse.

In this framework, seminars are understood as structured sites of expert discourse production rather than isolated events. Each seminar contributes analyzable content, including problem framings, key issues, actor references, and policy perspectives. When aggregated over time, these elements form a coherent dataset of curated expert security discourse.

When analysed collectively, the dataset allows for the identification of recurring and changing patterns in security discussions. This includes shifts in thematic emphasis—for example, between traditional military-security concerns and emerging issues such as energy, migration, and hybrid threats—as well as changes in how regions and actors are framed within expert debates.

The dataset also supports a structured analysis of agenda formation by identifying which issues are consistently emphasised, which emerge or decline over time, and how different policy areas intersect. This enables a more systematic understanding of how security priorities are constructed within a curated expert forum, as well as how they relate to broader regional and international developments.

Finally, the dataset allows for the mapping of epistemic patterns across the seminar series. This refers to recurring speakers, institutional affiliations, and thematic linkages over time. Rather than treating participants as isolated contributors, the dataset makes it possible to observe how expertise circulates and how knowledge on regional security issues is co-produced through repeated interaction between academic, policy, and practitioner communities.

Overall, this dataset constitutes an institutional archive of the Near East Institute’s public-facing research activities. It reframes the seminar series as a structured and evolving corpus of expert discourse through which changes in security framings, policy attention, and epistemic networks can be systematically observed and analysed over time.

Note on methodology

The dataset was developed through a process of manual coding based on systematic content analysis of seminar recordings. Each recorded seminar was reviewed and coded according to a consistent set of predefined categories, including thematic focus, sub-themes, speaker type, regional focus, key topics, and policy relevance.

The coding process was guided by an iterative but standardised framework designed to ensure internal consistency across entries while allowing for the capture of substantive variation between seminars. Categories were developed inductively from the seminar series itself and refined through repeated application to ensure comparability across time.

全球安全研讨会（2022—2025）：区域与国际安全对话结构化数据集

本数据集完整提供了近东研究所（Near East Institute，近东大学（Near East University）下属政策导向型研究机构）于2022年至2025年间主办的全球安全研讨会的结构化纵向记录。该研究所致力于区域与国际事务的研究与基于充分信息的对话，尤其关注东地中海地区的冲突、地缘政治与安全动态。

全球安全研讨会是该机构的旗舰系列专家研讨与网络研讨会活动，邀请学者、政策制定者与实务从业者就不同区域及议题领域的当代安全挑战展开探讨。本数据集将这些定性事件记录转化为系统化编码且可机器读取的格式，支持开展比较研究、主题分析与纵向分析。

每场研讨会均作为独立条目，依据一套分析变量完成编码，变量涵盖主题焦点、子主题、演讲者概况、区域聚焦、核心议题与政策相关性。这些变量既涵盖了每场研讨会的实质内容，也体现了其与区域及国际安全辩论的更广泛关联。

本数据集采用此种结构化方式的核心目的，是从单纯的事件描述性记录，转变为可直接开展系统性分析的研究就绪型资源。此类分析可包括：识别随时间推移的主题焦点变化、追踪区域安全辩论的演进历程，以及研判与政策相关的话语转向。

在本框架下，研讨会被视为专家话语生产的结构化场域，而非孤立事件。每场研讨会均提供可分析的内容，包括问题框架、核心议题、提及的行动者与政策视角。随时间累积后，这些内容将构成一套经甄选的专家安全话语连贯数据集。

对数据集开展整体分析时，可识别安全讨论中反复出现与不断变化的模式，包括主题侧重的转向——例如从传统军事安全关切转向能源、移民与混合威胁等新兴议题——以及专家辩论中区域与行动者的框架调整。

本数据集还可支持对议程设置的结构化分析：识别持续受关注的议题、随时间推移涌现或式微的议题，以及不同政策领域的交叉互动。这有助于更系统地理解：在经甄选的专家论坛中，安全优先级是如何被构建的，以及它们与更广泛的区域及国际事态发展存在何种关联。

此外，本数据集可用于绘制整个研讨会系列的认知模式图谱，即随时间推移反复出现的演讲者、机构隶属关系与主题关联。本数据集并未将参会者视为孤立贡献者，而是得以观察专业知识如何传播，以及学界、政策界与实务界通过反复互动，如何协同生产区域安全议题相关知识。

总体而言，本数据集构成了近东研究所面向公众的研究活动的机构档案。它将研讨会系列重新定义为一套结构化且不断演进的专家话语语料库，借此可系统性观测并分析随时间推移的安全框架、政策关注度与认知网络变化。

方法论说明
本数据集通过对研讨会录音开展系统性内容分析后进行人工编码的方式构建。所有录制的研讨会均经审核，并依据一套统一的预定义分类标准完成编码，分类标准涵盖主题焦点、子主题、演讲者类型、区域聚焦、核心议题与政策相关性。
编码流程遵循一套迭代但标准化的框架，该框架旨在确保各条目间的内部一致性，同时能够捕捉不同研讨会间的实质差异。分类标准均从本次研讨会系列中归纳得出，并经反复应用优化，以确保不同时间节点的数据具备可比性。