Science about science

Researchers collaborate with same-gendered colleagues more often than expected across the life sciences

We find that researchers tend to co-publish with same-gendered colleagues, and that this tendency is presently increasing. We found no evidence that senior academics drive this pattern, or that the pattern is stronger in fields where women are in the minority. Interestingly, journals with a high impact factor for their discipline tended to have comparatively many mixed-gender teams.

Sexual selection improves population fitness: a systematic review and meta-analysis

We synthesised 459 effect sizes from 65 pertinent experimental evolution studies using meta-analysis, and found that sexual selection on males tends to elevate the mean and reduce the variance for many fitness traits. The beneficial effect was stronger in female traits than males, and for populations evolving under stressful conditions. The results have implications for conservation and captive breeding programs.

Science about science

Research about science itself: research practice, bias, reproducibility, and culture. Mostly text mining.

The gender gap in science: how long until women are equally represented?

We recorded the gender of 36 million authors from 100 countries publishing in 6000 journals from most STEMM, and made a [web app](https://lukeholman.github.io/genderGap/) facilitating exploration of the data. Despite recent progress, the gender gap appears likely to persist for generations.

Evidence of experimental bias in the life sciences: why we need blind data recording

Observer bias and other “experimenter effects” occur when researchers’ expectations influence study outcome. These biases are strongest when researchers expect a particular result, are measuring subjective variables, and have an incentive to produce …

The extent and consequences of p-hacking in science

A focus on novel, confirmatory, and statistically significant results leads to substantial bias in the scientific literature. One type of bias, known as “p-hacking,” occurs when researchers collect or select data or statistical analyses until …