Nate Hagens from the University of Minnesota spoke at KAUST's Winter Enrichment Program (WEP) 2018 about the intersection of energy, human behavior, and economics. Hagens argued that society functions as an energy-dissipating "superorganism," with human preferences correlated with increasing energy needs. He emphasized that energy, not money, is the real capital, but global society is running out of it. Why it matters: The talk highlights the importance of viewing society through an ecological lens, particularly in the context of the GCC region's reliance on energy resources.
Lewis Dartnell, professor of science communication at the University of Westminster, spoke at KAUST about how to rebuild the world after an apocalyptic scenario. Dartnell is the author of "The Knowledge: How to Rebuild our World from Scratch." The Enrichment in the Fall lecture took place on October 17. Why it matters: Public lectures at KAUST contribute to knowledge dissemination and engagement with global challenges.
MBZUAI researchers introduce SocialMaze, a new benchmark for evaluating social reasoning capabilities in large language models (LLMs). SocialMaze includes six diverse tasks across social reasoning games, daily-life interactions, and digital community platforms, emphasizing deep reasoning, dynamic interaction, and information uncertainty. Experiments show that LLMs vary in handling dynamic interactions, degrade under uncertainty, but can be improved via fine-tuning on curated reasoning examples.
A new mini-batch strategy using aggregated relational data is proposed to fit the mixed membership stochastic blockmodel (MMSB) to large networks. The method uses nodal information and stochastic gradients of bipartite graphs for scalable inference. The approach was applied to a citation network with over two million nodes and 25 million edges, capturing explainable structure. Why it matters: This research enables more efficient community detection in massive networks, which is crucial for analyzing complex relationships in various domains, but this article has no clear connection to the Middle East.
A panel discussion hosted by MBZUAI in collaboration with the Manara Center for Coexistence and Dialogue addressed misinformation and its threat to elections. The talk covered the reasons behind the rise of misinformation, citizen perspectives, and the role of social media influencers. Two cases, the Indian general elections of 2024 and the upcoming US presidential elections in November 2024, were used to describe the contours of misinformation. Why it matters: Understanding the dynamics of misinformation, especially through social media influencers, is crucial for safeguarding democratic processes in the region and globally.
Fudan University's Zhongyu Wei presented research on social simulation driven by LLMs, covering individual and large-scale social movement simulation. Wei directs the Data Intelligence and Social Computing Lab (Fudan DISC) and has published extensively on multimodal large models and social computing. His work includes the Volcano multimodal model, DISC-MedLLM, and ElectionSim. Why it matters: Using LLMs for social simulation could provide new tools for understanding and potentially predicting social dynamics in the Arab world.
The KAUST community held the opening night of its 2016 Enrichment in the Fall program. The event's theme was "Food for All." Photos from the event were taken by Meres Weche. Why it matters: This community event highlights KAUST's engagement with broader social themes, though the AI relevance is low.
Dr. John Bedbrook of DiCE Molecules LLC spoke at KAUST about the challenges of feeding a growing population with increasingly stressed arable land. He noted the increasing demand for meat in emerging economies exacerbates the problem. Bedbrook emphasized the role of genetics and hybridization in improving crop yields and quality to address food security. Why it matters: Investments in agricultural biotechnology are crucial for the GCC region to enhance food security and reduce reliance on imports amid changing climate conditions.