Papers Humanitarian
“Humanitarian” 태그가 달린 논문 185편 · 필터 해제
Differential Attention for Multimodal Crisis Event Analysis
Social networks can be a valuable source of information during crisis events. In particular, users can post a stream of multimodal data that can be critical for real-time humanitarian response. However, effectively extra…
Disaster ResponseHumanitarianActive InSAR monitoring of building damage in Gaza during the Israel-Hamas War
Aerial bombardment of the Gaza Strip beginning October 7, 2023 is one of the most intense bombing campaigns of the twenty-first century, driving widespread urban damage. Characterizing damage over a geographically dynami…
ARCChange DetectionHumanitarianNext-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning
Forecasting violent conflict at high spatial and temporal resolution remains a central challenge for both researchers and policymakers. This study presents a novel neural network architecture for forecasting three distin…
Feature EngineeringHumanitarianMineInsight: A Multi-sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments
The use of robotics in humanitarian demining increasingly involves computer vision techniques to improve landmine detection capabilities. However, in the absence of diverse and realistic datasets, the reliable validation…
HumanitarianLandmineFrom Rogue to Safe AI: The Role of Explicit Refusals in Aligning LLMs with International Humanitarian Law
Large Language Models (LLMs) are widely used across sectors, yet their alignment with International Humanitarian Law (IHL) is not well understood. This study evaluates eight leading LLMs on their ability to refuse prompt…
HumanitarianPropaganda and Information Dissemination in the Russo-Ukrainian War: Natural Language Processing of Russian and Western Twitter Narratives
The conflict in Ukraine has been not only characterised by military engagement but also by a significant information war, with social media platforms like X, formerly known as Twitter playing an important role in shaping…
HumanitarianDo Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting
Large Language Models (LLMs) have shown impressive performance across natural language tasks, but their ability to forecast violent conflict remains underexplored. We investigate whether LLMs possess meaningful parametri…
HumanitarianRAGRetrieval-augmented GenerationTowards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports
Timely and accurate situation awareness is vital for decision-making in humanitarian response, conflict monitoring, and early warning and early action. However, the manual analysis of vast and heterogeneous data sources …
ArticlesDecision MakingHumanitarianRAG+3An Early Warning Model for Forced Displacement
Monitoring tools for anticipatory action are increasingly gaining traction to improve the efficiency and timeliness of humanitarian responses. Whilst predictive models can now forecast conflicts with high accuracy, trans…
HumanitarianmodelDetecting Actionable Requests and Offers on Social Media During Crises Using LLMs
Natural disasters often result in a surge of social media activity, including requests for assistance, offers of help, sentiments, and general updates. To enable humanitarian organizations to respond more efficiently, we…
Few-Shot LearningHumanitarianBenchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Object detectors have achieved remarkable performance in many applications; however, these deep learning models are typically designed under the i.i.d. assumption, meaning they are trained and evaluated on data sampled f…
BenchmarkingHumanitarianObjectobject-detection+1Earthquake Response Analysis with AI
A timely and effective response is crucial to minimize damage and save lives during natural disasters like earthquakes. Microblogging platforms, particularly Twitter, have emerged as valuable real-time information source…
Disaster ResponseHumanitarianCritical Foreign Policy Decisions (CFPD)-Benchmark: Measuring Diplomatic Preferences in Large Language Models
As national security institutions increasingly integrate Artificial Intelligence (AI) into decision-making and content generation processes, understanding the inherent biases of large language models (LLMs) is crucial. T…
HumanitarianTechnical Risks of (Lethal) Autonomous Weapons Systems
The autonomy and adaptability of (Lethal) Autonomous Weapons Systems, (L)AWS in short, promise unprecedented operational capabilities, but they also introduce profound risks that challenge the principles of control, acco…
Decision MakingHumanitarianA Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions
Accurate demand forecasting is vital for ensuring reliable access to contraceptive products, supporting key processes like procurement, inventory, and distribution. However, forecasting contraceptive demand in developing…
Demand ForecastingHumanitarianTime SeriesA monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling
Food security is a complex, multidimensional concept challenging to measure comprehensively. Effective anticipation, monitoring, and mitigation of food crises require timely and comprehensive global data. This paper intr…
HumanitarianFrom Newswire to Nexus: Using text-based actor embeddings and transformer networks to forecast conflict dynamics
This study advances the field of conflict forecasting by using text-based actor embeddings with transformer models to predict dynamic changes in violent conflict patterns at the actor level. More specifically, we combine…
HumanitarianIris Recognition for Infants
Non-invasive, efficient, physical token-less, accurate and stable identification methods for newborns may prevent baby swapping at birth, limit baby abductions and improve post-natal health monitoring across geographies,…
HumanitarianIris RecognitionCEHA: A Dataset of Conflict Events in the Horn of Africa
Natural Language Processing (NLP) of news articles can play an important role in understanding the dynamics and causes of violent conflict. Despite the availability of datasets categorizing various conflict events, the e…
ArticlesHumanitarianReal-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics
Internet of Things (IoT) based healthcare systems offer significant potential for improving the delivery of healthcare services in humanitarian engineering, providing essential healthcare services to millions of underser…
Humanitarianimage-classificationImage ClassificationX-ray Classification