In the past decade, behavioural science has gained influence in policymaking but suffered a
crisis of confidence in the replicability of its findings. Here, we describe a nascent …

Computational social science is more than just large repositories of digital data and the
computational methods needed to construct and analyse them. It also represents a …

Replicability is an important feature of scientific research, but aspects of contemporary
research culture, such as an emphasis on novelty, can make replicability seem less …

We conducted the Reproducibility Project: Cancer Biology to investigate the replicability of
preclinical research in cancer biology. The initial aim of the project was to repeat 193 …

We draw on genetics research to argue that complex psychological phenomena are most
likely determined by a multitude of causes and that any individual cause is likely to have …

Humans learn about the world by collectively acquiring information, filtering it, and sharing
what we know. Misinformation undermines this process. The repercussions are extensive …

Data analysis workflows in many scientific domains have become increasingly complex and
flexible. Here we assess the effect of this flexibility on the results of functional magnetic …

Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal
Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve …

Improving the reproducibility of biomedical research is a major challenge. Transparent and
accurate reporting is vital to this process; it allows readers to assess the reliability of the …

Scientists often adjust their significance threshold (alpha level) during null hypothesis
significance testing in order to take into account multiple testing and multiple comparisons …