Institute of Informatics and Telematics

Estimating vehicular emissions by applying deep learning on video camera scenes

Despite advances in electrification, urban traffic remains a substantial source of air pollution and poses a major threat to public health. Addressing the spatial and temporal heterogeneity of vehicular emissions requires scalable methodologies. Here, we present a deep learning-b...

When transparency falls short: auditing platform moderation during a high-stakes election

Abstract During major political events, social media platforms encounter increased systemic risks. However, it is still unclear if and how they adjust their moderation practices in response. The Digital Services Act Transparency Database provides—for the first time—an opportunity...

Built for walking: Cross-city and cross-scale built environment associations with walking from massive, fine-grained mobile trajectory data

Promoting walking is increasingly important for environmental sustainability and public health. This effort requires a nuanced understanding of the relationship between the built environment and walking behavior. Previous studies primarily rely on traditional datasets with limite...