Gender and Ethnicity Bias in Deep Learning
T-food-ELA: A Time-Based Ensemble Learning Approach for Link Prediction in the Global Food Trade Network
Mapping 25,000 Cultural Heritage Sites with GIS and NLP: A Data-Driven Framework for Spatiotemporal Pattern Recognition
Understanding Online Conversations Through Fractal Dimension: A Case Study Linking Semantic and Structural Analysis of Reddit posts on AI
In Pursuit of the Optimal City: Evaluation of Procedurally Generated City Layouts
Citizen assemblies: a sortition-based way to improve modern democratic systems
The global dissemination of COVID-19 through two coexisting international transmission patterns
From Crowdsourced Data to Policy Design: Monitoring and Forecasting Homeless Tents
Downscaling human mobility data based on demographic, socioeconomic, and commuting characteristics using interpretable machine learning methods
Decoding the city: multiscale spatial information of urban income