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Dream Content Discovery from Reddit with an Unsupervised Mixed-Method Approach
Going beyond traditional scales, our method can find unique patterns in different dream types (like nightmares or recurring dreams), understand topic importance and connections, and observe changes in collective dream experiences over time and around major events, like the COVID-19 pandemic and the recent Russo-Ukrainian war.
Epidemic Dreams: Dreaming about health during the COVID-19 pandemic
Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic.
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data
Back in the 1970s, Jane Jacobs theorized urban vitality and found that there are four conditions required for the promotion of life in cities: diversity of land use, small block sizes, the mix of economic activities, and concentration of people.
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models
In this study, we answer that question for mapping the fundamental land cover classes using satellite radar data.
Semantic homophily in online communication: evidence from Twitter
An important question to researchers and in practice can be tackled, as we present here: understanding the exact mechanisms of interplay between these tendencies and the underlying social network structure.
