Is there space for violence?: A data-driven approach to the exploration of spatial-temporal dimensions of conflict

• Main Authors: KAM, Tin Seong, ZHI, Vincent
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Geospatial autocorrelation; Africa; Political violence; Hotspot detection; Knowledge discovery; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4331; https://ink.library.smu.edu.sg/context/sis_research/article/5334/viewcontent/sigspatial_geohumanities_2018_paper_1.pdf
• Institution: Singapore Management University

With recent increases in incidences of political violence globally, the world has now become more uncertain and less predictable. Of particular concern is the case of violence against civilians, who are often caught in the crossfire between armed state or non-state actors. Classical methods of studying political violence and international relations need to be updated. Adopting the use of data analytic tools and techniques of studying big data would enable academics and policy makers to make sense of a rapidly changing world.