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.
Resources
Gender, AI, and Disaster Response: Navigating the Risks of Technological Innovation Amidst Climate Breakdown
Spotlight
The frequency and severity of climate-related disasters has risen alongside a growing deployment of artificial intelligence (AI) to improve disaster response and recovery operations. Disaster…
Ukraine: AI Warfare: The Company Hunting Land Mines in Ukraine
International
Over the past year and a half, Russia has deployed thousands of mines to keep Ukraine from regaining its territory. In fact, Ukraine has surpassed…
Egypt/Ethiopia/Sudan: Can AI Help Solve Diplomatic Dispute over the Grand Ethiopian Renaissance Dam? [Video]
International
Ethiopia's hydropower dam on the Blue Nile River has angered downstream neighbors, especially Sudan, where people rely on the river for farming and other livelihoods.…
Climate Change: New Climate Change Model Finds Nuanced Relationship between Temperature, Conflict
International
A new framework for studying the intersection of climate anomalies and social conflicts finds a strong link between temperature fluctuations and aggregated global conflicts, in…
Afghanistan: UN Employ Technology to Stop Afghanistan’s Illicit Opium Cultivation
International
On Monday, a British University, Cranfield, released a statement indicating a research partnership with United Nations. The report said that the researchers from the University…
Artificial Intelligence for Climate Security: Possibilities and Challenges
Briefs & Development
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
Briefs & Development
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
Briefs & Development
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…
War and Deforestation: Using Remote Sensing and Machine Learning to Identify the War-Induced Deforestation in Syria 2010–2019
Briefs & Development
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…
Indexing Climatic and Environmental Exposure of Refugee Camps with a Case Study in East Africa
Briefs & Development
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
Briefs & Development
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?
Briefs & Development
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…
Can Artificial Intelligence Predict the Middle East's Next Conflict?
Blog
In January 2014, most Iraq analysts knew security in the country was rapidly deteriorating. Beyond general warnings, however, few predicted exactly how bad the situation…
Revisiting the Contested Role of Natural Resources in Violent Conflict Risk through Machine Learning
Briefs & Development
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…
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
Briefs & Development
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…
Artificial Intelligence: Our Next Ally against Environmental Risks
Blog
A glance at one satellite map of the Peruvian Amazon is enough to grasp the scale of devastation humans are causing to one of Earth's…