Computational Social Science
With an explosion of data in every aspect of our social and economic activities, we can leverage advanced data analytic techniques and technologies to measure and understand human behaviour with a precision that was largely impossible back then.
Researchers working on this research area aspire to apply scalable computational tools to collect and analyse large demographic, behavioural, and networked data to better understand humans at the micro level and society at the macro level. The concerted goal is to uncover patterns, infer causality, and deduce insights into individual and collective human behaviour.
What We Do
Produce strategic and translational models, frameworks, and guidelines that offer systematic approaches to managing social changes and dynamics.
Develop scalable computational models and tools to aid researchers in analysing complex social phenomena.
Develop and evaluate the efficacy of technological interventions in addressing social challenges.
Sub Areas
- Fairness and Equality
- Message Modality and Effectiveness
- Misinformation and the Spread of Information
- Social Differences and Mobility
- Social Interaction and Peer Influence in Activity-Based Communities
- Technology-Induced Social Changes
