Street view imagery as a source for measuring cities at human scale: open datasets, software and methods used across the field. Examples: SVI review, Global Streetscapes, ZenSVI.

Emerging data sources that conventional techniques miss, from place reviews and street video to thermal and nighttime imagery. Examples: urban functions from reviews, nighttime lights, thermal imagery, street view video.

Sensing how cities change over time, and what those changes cause. Examples: physical urban change, causal effects on cycling, evolution of urban visual environments.

Quality, bias and uncertainty in the data and models behind urban analytics. Examples: coverage bias, seasonal bias, bias in multimodal LLMs, OSM building quality.

How people perceive and experience urban environments, including comfort, greenery and health. Examples: perception and personality, urban comfort index, urban motifs and health.

Open 3D urban data, simulations and urban digital twins. Examples: VoxCity, OpenFACADES, digital twin challenges.