This workshop aims to unite experts from diverse fields—social scientists, computational scholars, and mathematical modelers working in areas such as game theory and social influence theory. Through shared dialogue and collaboration, we hope to refine theoretical frameworks, enhance measurement tools, and push the boundaries of our understanding of identity dynamics in digital contexts. The insights are likely to inform healthier online communities, shape policy debates, and harness the constructive potential of social media for collective action

The workshop aims to address the following key questions:

1. How does the interplay of norms, emotions, social influence, and network structures drive identity formation and collective behavior online? 
   What psychological, social, and digital mechanisms drive the rapid emergence and adoption of new collective identities online? How do platform-specific features—such as decentralization, accelerated information flow, and reduced gatekeeping—affect the development and consolidation of online identities?
2. How can theoretical frameworks be effectively integrated and adapted for studying identity formation online?
   Which existing theories best capture the dynamics of online identity formation, and what adjustments are necessary to account for unique online features?
3. What methodological innovations are needed to accurately measure and analyze online social identity formation?
   What new methods are needed to effectively measure and analyze the emergence of social identities online? How can computational modeling, natural language processing, and sentiment or network analysis be leveraged to bridge experimental and observational approaches? What are the best strategies for incorporating psychological and sociological theories into computational models to explain the evolution of social identities, their link to collective action, and the role of personal and social norms?

This workshop is a closed event.