Meta-research and Innovation in how research is verified
Meta-Research in the area of Reproducibility aims at deepening our understanding of what is and what determines the reproducibility of a study and scientific self-correction. Studies in this area may include:
- Directly assessing the reproducibility and replicability of results
- Identifying factors predicting the reproducibility of a study, including the prevalence of questionable scientific practices
- Measuring prevalence, compliance and effectiveness of transparency policies and practices for sharing data and methods
- Assessing the prevalence, causes and consequences of corrections and retractions of the scientific literature
Innovation seeks to improve replication and self-correction and to increase the reliability of published results, for example by:
- Developing new theoretical and empirical methods to estimate the false-positive rate and the reproducibility of findings
- Improving the reproducibility of research, for example by developing new policies and practical tools to share data and methods
- Bolstering scientific self correction through better ways to communicate or recognize retractions or corrections
Michael C. Frank is Associate Professor of...
Simine Vazire is an associate professor in...
Senior Research Scientist
Daniele Fanelli trained as a naturalist,...
Carlos Bustamante is a population geneticist...