SMS-Social Modelling and Simulations
Debate 1: What can a model do?
Formal and Computational modelling of complex social phenomena
[Context] In the last two decades, the surge in social data from the widespread use of the social web has fueled the adoption of formal and computational methods in social sciences. In particular, we have witnessed the proliferation from simple formal models to much more complicated computational ones to make sense of data and to comprehend the complexities of social phenomena.
Debate 2: What can (what) data?
From experiments and empirical evidences to models and back
[Context] In mature and well established research fields in natural sciences, like condensed matter physics or cellular biology for example, the circular relation between models, experiments, and wildlife is somehow well defined and protocolized. On the other hand, this seems not to be the case nowadays when dealing with the application of formal mathematical or computational methods in the study of social complexity.
Debate 3: From Agent-Based Models to Games
Perspectives on Research and Education
[Context] The intersection of agent-based models and games is an emerging frontier in the realms of research and education. This convergence offers novel approaches for understanding complex systems and educational dynamics. In this context, insights from interdisciplinary fields such as computational archaeology, digital humanities, and the innovative use of video games in cultural projects provide a rich backdrop for discussion.