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Introducing the Leadership for the Extreme and Dangerous for Innovative Results (LEADIR) Dataset
Gina S Ligon1, Michael K Logan1, MacKenzie Harms1
1Department of Sociology and Criminal Justice, Kennesaw State University.
Summary
This research introduces the Leadership for the Extreme and Dangerous for Innovative Results (LEADIR) dataset, detailing 280 terrorist groups and 295 leaders from 2008-2017. The dataset offers a valuable resource for future terrorism research.
Area of Science:
- Political Science
- Sociology
- Criminology
Background:
- Terrorism research often lacks comprehensive data on group and leader dynamics.
- Understanding leadership structures is crucial for analyzing terrorist group behavior and evolution.
Purpose of the Study:
- Introduce the Leadership for the Extreme and Dangerous for Innovative Results (LEADIR) dataset.
- Provide an open-source relational dataset on terrorist groups and leaders.
- Facilitate future research in terrorism studies.
Main Methods:
- Historiometric data collection and coding.
- Development of a relational dataset covering 2008-2017.
- Inclusion of group-level and leader-level variables.
Main Results:
- The LEADIR dataset contains information on 280 terrorist groups and 295 leaders.
- Descriptive statistics of key variables are presented and contextualized within existing literature.
- Strengths and limitations of the dataset are discussed.
Conclusions:
- LEADIR offers a robust foundation for empirical analysis of terrorism.
- The dataset enables new avenues of research into group-leader relationships in terrorist organizations.
- Further research can leverage LEADIR to explore patterns and characteristics of terrorist leadership.
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