Reproducibility

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

Experts:

  • Steven Goodman

    Steven Goodman

    Co-Director

    Steven Goodman, MD, MHS, PhD is Associate...

    Faculty Leadership

  • Michael C. Frank

    Michael C. Frank

    Michael C. Frank is Associate Professor of...

    Affiliated Faculty

  • John Ioannidis

    John Ioannidis

    Co-Director

    John P.A. Ioannidis, MD, DSc is the C.F....

    Faculty Leadership

  • Carlos Bustamante

    Carlos Bustamante

    Carlos Bustamante is a population geneticist...

    Affiliated Faculty

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