Our recent paper In Nature Human Behavior (https://www.nature.com/articles/s41562-022-01372-0) presents a new learning framework to precisely forecast crime in the urban environment, and simultaneously demonstrates how such precise predictors may be used to reveal signatures of enforcement biases.

On October 16th 2020, with the increase of COVID19 cases, the regional government of Cataluña, Spain announced that there would be a 15 day closure of bars and restaurants across the region.

There is a growing concern on the unaffordable open access fees for researchers located in low- and middle-income countries. These researchers are facing a serious challenge to publish their research, particularly, given the rapid expansion of open access journals that do not waive the publishing fees for these scientists in under-resourced settings. A new flexible waiving model is needed given the considerable limitations of the World Bank Classification.

Can offering monetary rewards reduce prosocial behaviours like recycling? We find that rewards can both increase and decrease prosocial behaviours, and that the existence and size of the crowding-out effect depends on reward size and pre-existing levels of prosocial motivation.

If, in normal times, mitigate climate change to prevent the temperature from rising above 1.5°C by 2050 to avoid dangerous climate action (IPCC, 2018) is a brutal challenge to humankind, imagine now with the COVID-19 pandemic and the war in Europe.