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developing new methods for training and adapting large multimodal foundation models. The goal is to make these models more grounded, efficient, and human-aligned, enabling them to reason across modalities
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large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences
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focus on planning and scheduling of production and associated supply chains, but an understanding of dynamic process models and life-cycle aspects is a big asset. In this work, you also need programming
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challenges of our time, with rising ideological divides and fragmented information ecosystems coinciding with increasing stress, anxiety, and declining well-being. Polarizing online content not only fuels