Abstract: The “coronavirus pandemic” struck the world in a really distinctive way, leading to an unstable and uncertain situation, affecting individuals, communities and many societies alike. In this context, and with cyberspace being increasingly used to support health-related decision making and to market health products, potentially harmful behaviours have been carried out by individuals propagating… Continue reading Information pollution in pandemic times: some insights from socio-technical research
Category: Monthly Webinars
Space, Time, and Human Dynamics in GIScience
Abstract: Conventional geographic information systems (GIS), which are conceptually constrained due to its confinement to the concepts of Newtonian absolute space and physical place, have failed to properly consider humans as dynamic and living entities. There is an urgent need of moving beyond the concept of absolute space to support research of human dynamics that… Continue reading Space, Time, and Human Dynamics in GIScience
Norm Emergence Research in Artificial Intelligence
Abstract: Norm Emergence in Multiagent Systems has been one of the active research areas in Artificial Intelligence. It investigates the emergence of norms as a result of multiagent learning in multiagent systems. In this talk, Professor Leung will introduce this research topic to researchers in other areas. He will start by introducing the key elements… Continue reading Norm Emergence Research in Artificial Intelligence
Computational + Human-centric Design Methods in Architecture and Urbanism
Abstract: As increasingly sophisticated and ubiquitous technologies permeate cities, buildings and everyday life, there is an urgent need to rethink how we shape future environments for individuals and communities. This webinar, by Adam Fingrut and Jeroen van Ameijde from the School of Architecture, showcases innovative methods for the analysis, design, construction and management of… Continue reading Computational + Human-centric Design Methods in Architecture and Urbanism
Computationally Revealing Network Effects: Applications to Product Diffusion & Political Polarization
Abstract: The emergence of computational social science presents unique opportunities for us to tackle theoretical and real-world problems that have long been difficult to address by traditional methods. In this seminar, Prof. Lee will talk about how large-scale mobile networks, online field experiments, and agent-based modeling can be leveraged to better understand the peer influence… Continue reading Computationally Revealing Network Effects: Applications to Product Diffusion & Political Polarization