Modelling Individual Mobility Behaviour

Abstract: From choosing a restaurant for dinner to deciding how to get there, spatial decisions are ubiquitous in human day-to-day lives. Taken together, these choices underlie critical societal phenomena, including the spread of epidemics, the emergence of traffic congestion, and urban segregation. In this talk, Dr. Alessandretti will present recent research that leverages high-resolution large-scale… Continue reading Modelling Individual Mobility Behaviour

The Structures and Consequences of Online Political Discussion: Computational Studies Using Social Media Data

Abstract: (Normative) theorists have argued that conversation is the soul of democracy. However, political discussions might not be as ideal as the theorists envisioned. This talk summarizes a series of computational studies using large-scale social media data to examine the structures and consequences of political discussions online. Specifically, this talk discusses both the positive and… Continue reading The Structures and Consequences of Online Political Discussion: Computational Studies Using Social Media Data

Mobility Networks in Cities

Abstract: Mobility is fundamental in the development of countries and their cities, and it is therefore crucial to understand how it evolves in space and time. This talk focuses on mobility networks in cities such as street networks and subways, and also on spatial mobility patterns. In the first part, the main structural features of… Continue reading Mobility Networks in Cities

Understanding and Improving Democracy through Computational Social Science

Abstract: Despite continued popular support for democratic ideals, democratic regimes throughout the world are under threat. Fragmentation of the public sphere, and resource scarcity has hindered governors and publics in their efforts to communicate with one another. Advances in computing now provide opportunities to make sense of the abundance of information available, with the potential… Continue reading Understanding and Improving Democracy through Computational Social Science

Inequality (and epidemics) in Cities at High Resolution

Abstract: Inequality and segregation are hurting our societies and specially our cities, where the fact that we live apart from other racial, economical or social groups carries tremendous economical and societal consequences. Not only for the people living in poor neighborhoods, but for the region as a whole. Most studies still describe people’s segregation patterns… Continue reading Inequality (and epidemics) in Cities at High Resolution

Information pollution in pandemic times: some insights from socio-technical research

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

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