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职业迁徙
个人简介
At CENTAI, I develop new ways to use model-driven machine learning to better understand social, political, and economic phenomena.
Models are used in the social sciences to encode interpretations of the world — machine learning can make them predictive and testable. For instance, I investigate how to integrate theory-driven agent-based models with empirical data, in economics or opinion dynamics. Or, how to develop information propagation models that can learn the complexity of political ideologies. Or, how probabilistic network models can help us understand if echo chambers in social media are the norm or over-hyped.
I use these tools to study how social media affects opinions and behaviors. Probabilistic models are very helpful in analyzing cross-party interactions and opinion change. Also, I am interested in political alienation and how the far-right uses social media.
Models are used in the social sciences to encode interpretations of the world — machine learning can make them predictive and testable. For instance, I investigate how to integrate theory-driven agent-based models with empirical data, in economics or opinion dynamics. Or, how to develop information propagation models that can learn the complexity of political ideologies. Or, how probabilistic network models can help us understand if echo chambers in social media are the norm or over-hyped.
I use these tools to study how social media affects opinions and behaviors. Probabilistic models are very helpful in analyzing cross-party interactions and opinion change. Also, I am interested in political alienation and how the far-right uses social media.
研究兴趣
论文共 28 篇作者统计合作学者相似作者
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WWW 2023pp.2852-2862, (2023)
WWW 2023pp.2777-2786, (2023)
PNAS NEXUSno. 10 (2023)
CoRRno. 1 (2023): 1-12
Proceedings of the International AAAI Conference on Web and Social Media (2022): 710-719
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