Artificial Intelligence
As technology continues to advance, artificial intelligence has become prevalent through machine learning and automated decision-making. There is an opportunity to use this technology, including AI to ensure that there is an opportunity to establish continuously evolving technological systems that facilitate peacebuilding.
There are 9 resources related to Artificial Intelligence.
War and Deforestation: Using Remote Sensing and Machine Learning to Identify the War-Induced Deforestation in Syria 2010–2019
2023
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Land
Angham Daiyoub, Pere Gelabert, Sandra Saura-Mas, and Cristina Vega-Garcia
Armed conflicts and other types of violence are key drivers of human-induced landscape change. Since March 2011, Syria has been embroiled in a prolonged and…
Revisiting the Contested Role of Natural Resources in Violent Conflict Risk through Machine Learning
2020
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Sustainability
Marie K. Schellens and Salim Belyazid
The integrated character of the sustainable development goals in Agenda 2030, as well as research in environmental security, flag that sustainable peace requires sustainable and…
Artificial Intelligence for Climate Security: Possibilities and Challenges
2023
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Stockholm International Peace Research Institute
Kyungmee Kim and Vincent Boulanin
Recent advances in artificial intelligence (AI)—largely based on machine learning—offer possibilities for addressing climate-related security risks. AI can, for example, be used for developing disaster…
Using Machine Learning and Remote Sensing to Track Land Use/Land Cover Changes Due to Armed Conflict
2023
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Science of The Total Environment
Saeed Mhanna, Landon J.S. Halloran, François Zwahlen, Ahmed Haj Asaad, and Philip Brunner
Armed conflicts have detrimental impacts on the environment, including land systems. The prevailing understanding of the relation between Land Use/Land Cover (LULC) and armed conflict…
Artificial Intelligence for Climate Security: Possibilities and Challenges
2023
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SIPRI
Kyungmee Kim and Vincent Boulanin
Recent advances in artificial intelligence (AI)—largely based on machine learning—offer possibilities for addressing climate-related security risks. AI can, for example, be used for developing disaster…
Indexing Climatic and Environmental Exposure of Refugee Camps with a Case Study in East Africa
2023
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Nature Scientific Reports
Michael Owen, Andrew Kruczkiewicz, and Jamon Van Den Hoek
This study presents a novel approach to systematically measure climatic and environmental exposure in refugee camps using remote sensing and geospatial data. Using a case…
Modelling Armed Conflict Risk under Climate Change with Machine Learning and Time-Series Data
2022
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Nature Communications
Quansheng Ge, Mengmeng Hao, Fangyu Ding, Dong Jiang, Jürgen Scheffran, David Helman, and Tobias Ide
Understanding the risk of armed conflict is essential for promoting peace. Although the relationship between climate variability and armed conflict has been studied by the…
Projecting Long-Term Armed Conflict Risk: An Underappreciated Field of Inquiry?
2022
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Global Environmental Change
Sophie P. de Bruin, Jannis M. Hoch, Nina von Uexkull, Halvard Buhaug, Jolle Demmers, Hans Visser, and Niko Wanders
Little research has been done on projecting long-term conflict risks. Such projections are currently neither included in the development of socioeconomic scenarios or climate change…
A Transdisciplinary-Based Coupled Approach for Vulnerability Assessment in the Context of Natural Resource-Based Conflicts Using Remote Sensing, Spatial Statistics and Fuzzy Logic Adapted Model
2019
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Ludwig-Maximilians-Universität München
Lawrence Monday Ibeh
The United Nations Environment Programme (UNEP) stated that across the globe, at least 40% of all conflicts in the last 60 years are linked to…