Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

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 …

Replication—an important, uncommon, and misunderstood practice—is gaining
appreciation in psychology. Achieving replicability is important for making research …

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 …

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 …

Since the early 1990s, ecologists and evolutionary biologists have aggregated primary
research using meta‐analytic methods to understand ecological and evolutionary …

The purpose of this systematic literature review was to explore the current critiques and
criticisms of positive psychology and to provide a consolidated view of the main challenges …

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …

The accessibility of global biodiversity information has surged in the past two decades,
notably through widespread funding initiatives for museum specimen digitization and …