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. By drawing connections between historical and contemporary images, texts, and sounds from both risk communication (warnings) and contemporary art (scores), the project will establish a critical
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developing and applying deep learning models, particularly in areas such as natural language processing (e.g. use of LLMs), computer vision (e.g. CNNs for image classification), and multimodal data integration
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