Abstract: For the built environments to support human needs in a sustainable fashion, it is essential to understand the cognitive, emotional, and behavioural patterns of its users. Virtual Reality and video-game based experiments can provide a broad range of empirical data that supports the development of theoretically grounded, cognitive agent-based models of occupancy, movement, and… Continue reading Understanding the relation between spatial behaviour and environmental structure with targeted and large-scale human data
Author: Editor
Self-fulfilling Bandits: Dynamic Selection in Algorithmic Decision-making
Abstract: This talk identifies and addresses dynamic selection problems that arise in online learning algorithms with endogenous data. In a contextual multi-armed bandit model, we show that a novel bias (self-fulfilling bias) arises because the endogeneity of the data influences the choices of decisions, affecting the distribution of future data to be collected and analysed.… Continue reading Self-fulfilling Bandits: Dynamic Selection in Algorithmic Decision-making
The Role of Spatial Cognition in Urban Analytics
Abstract: Spatial navigation is a complex cognitive process, involving structures in the brain developed over thousands of years of evolution. Yet in urban science we often neglect the role of spatial cognition in shaping mobility behaviour, making simple assumptions about travel choices. In this talk, we explore the growing evidence around human navigation in cities,… Continue reading The Role of Spatial Cognition in Urban Analytics
Using Social Media Data to Promote Decision-Making
Abstract: Social media is becoming a crucial communication tool for information generation, dissemination, and consumption. Can evidence drawn from social media enhance public services and inform public policy development? In this talk, we present studies using billions of geotagged social media posts and state-of-the-art natural language processing techniques to provide valuable insights for researchers and… Continue reading Using Social Media Data to Promote Decision-Making
CUHK Webinar Series – An Interdisciplinary Approach to Computational Sociology
Abstract: Advancement of emerging technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI) and machine learning has created opportunities for sociologists to promote the field of computational sociology. In this webinar, the speaker will discuss latest research in computational sociology, including his own work on social media, machine learning, and the… Continue reading CUHK Webinar Series – An Interdisciplinary Approach to Computational Sociology
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