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Computational Social Science Lab

Computational Social Science Lab

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Research

Our focus areas

At the Computational Social Science Lab (CSSL), we use online experiments, digital trace data, computational models and machine learning to study socio-technical systems. Our research typically revolves around the following topics.

  • Artificial intelligence
  • Collective intelligence
  • Civic technology
  • Computer-supported cooperative work
  • Cybersecurity
  • Digital democracy
  • Human-computer interaction
  • Learning analytics
  • Misinformation & disinformation
  • Personalization
  • Recommender systems
  • Social media

Highlights


How large language models can reshape collective intelligence

New paper led by CSSL co-lead Jason Burton published in Nature Human Behaviour.

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Augmenting research methods with foundation models and generative AI

New paper by CBS alumnus, Sippo Rossi, and CSSL co-lead, Raghava Rao Mukkamala published in International Journal of Information Management.

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How to control user private data access in mixed reality platforms using blockchain

New paper by CSSL faculty Somnath Mazumdar, Abid Hussain, and Raghava Rao Mukkamala presented at HICSS 2024.

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