The first Multimodal Learning for Social Good (MML4SG) workshop will be held as part of the 2024 IEEE International Conference on Multimedia and Expo (ICME). This workshop aims to gather diverse perspectives to explore multimodal learning's potential, especially in foundation models, to tackle complex societal challenges. Key questions include and are not limited to: How will foundation models transform computational social science? How can multimodal learning approaches enhance our understanding and management of public health crises? In what ways can multimodal learning help in detecting and countering misinformation online? Can multimodal learning be used to identify and mitigate the spread of polarizing content across social media platforms? Furthermore, how can multimodal learning assist in combating climate change and environmental degradation? It aims to facilitate exchange of ideas, identify future research directions, and foster collaborations among researchers and practitioners in from various areas such as AI, computational social science, public health, and environmental studies.
The topics of multimodal learning and social benefits are particularly relevant now due to the rapid advancements in AI technologies, specifically Large Language Models (LLMs) and Large Multimodal Models (LMMs), which have significantly broadened the scope of AI applications. These areas are currently at the forefront of global concerns, and AI researchers are increasingly focused on applying advanced AI techniques to provide innovative solutions that are not only technologically advanced but also socially beneficial.
We welcome submissions of technical papers from the field of multimodal learning, social science, and beyond, to explore the integration of advanced multimedia technologies in addressing pressing societal challenges. The topics of interest include (but are not limited to):
All submissions should present original, unpublished work that is relevant to the workshop's themes. The review will be double-blind. Authors should prepare their manuscript according to the Guide for Authors of ICME available at Author Information and Submission Instructions: https://2024.ieeeicme.org/author-information-and-submission-instructions/
Submission address: https://cmt3.research.microsoft.com/ICME2024W
Track name: ICME2024-Workshop-MML4SG
Submission due
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March 27, 2024
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Acceptance notification
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Camera-ready
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TBD
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Workshop date
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July 19, 2024
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Note: All times are AoE (Anywhere on Earth).