Mathematical modelling and large-scale online experiments revealed that learning from others can induce 'smarter' decisions even when most individuals are biased towards adverse risk aversion.

Modern machine learning methods offer new techniques for analyzing complex vocal behavior like ultrasonic mouse calls and birdsong.

A new and throughly validated method for timely estimation of the effective reproductive number of SARS-CoV-2 aided in the public health response to the COVID-19 pandemic.

Efference copy dysfunctions in heightened autistic traits impair the use of eye movement information for spatial representation and object localization.

Challenges faced by the declining global workforce of young physician-scientists are highlighted, and a unified view on how to revive and reinvigorate this critical pool of dual-trained physicians worldwide is provided.

Scale-up of piped water coverage in the local community strongly protects against S. haematobium re-infection intensity among primary school-going children following treatment with praziquantel.

Looking at visual motion affects perception of nonsymbolic numerosity in a direction-specific way, indicating that motion and number are computed by the same neurons.

Correction for stratification in genome-wide association studies should be informed by the demographic history of the sample.

High-throughput systemic approaches on long-term trends identify the environmental factors that cause loss of biodiversity and disrupt ecosystem functions.

The impact of mass intervention campaigns is determined by the interaction between implementation logistics, patterns of human mobility and how transmission risk is distributed over space.