James P. Bagrow

Real-time mobility data capturing city-wide human movement can be used to characterize cities, their segregation, and population responses to exogenous events such as pandemics. Examining cities worldwide, Xu et al.

Abstract Social structures influence human behavior, including their movement patterns. Indeed, latent information about an individual’s movement can be present in the mobility patterns of both acquaintances and strangers. We develop a “colocation” network to distinguish the mobility patterns of an ego’s social ties from those not socially connected to the ego but who arrive at a location at a similar time as the ego.

The SciTLDR software tool (scitldr.apps.allenai.org) uses machine learning to summarize scientific texts (see Nature https://doi.org/ghmnjj; 2020). Although it is impressive how far natural language processing has come, there is a risk it could distort scientific discourse by stripping away important context and over-amplifying results.