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Psychology initiative aims to engage dozens of laboratories around the world in large-scale studies, since the “tentative, preliminary results” produced by small studies conducted in relatively isolated laboratories “just aren’t getting the job done."
Perverse incentives and the misuse of quantitative metrics have undermined the integrity of scientific research.
A challenge investigating reproducibility of empirical results submitted to the 2018 International Conference on Learning Representations.
Students taking Stanford’s Advanced Topics in Networking class have to select a networking research paper and reproduce a result from it as part of a three-week pair project.
Psychologists are pessimistic about the state of their field but want to improve, a survey shows. But are new measures working?
As a young social psychologist, she played by the rules and won big: an influential study, a viral TED talk, a prestigious job at Harvard. Then, suddenly, the rules changed.
Teaching scientists foundational computing skills.
Repurposing continuous integration tools for scientific analyses takes the headache out of reproducible research.
Increasing portability, scaling, reproducibility, and convenience of R users and developers.
Emerging technologies making computational reproducibility practical in both time and effort.
Save time and protect critical code with 'continuous integration' services.
As research and editorial processes become increasingly open, scientists and editors need to be proactive but also alert to risks.
The perceived and actual barriers experienced by researchers attempting to do reproducible research.
Research institutions should explicitly seek job candidates who can be frankly self-critical of their work, says Jeffrey Flier.
Scientists have few direct incentives to replicate other researchers’ work, including precious little funding to do replications. Can that change?
The Reproducible Document Stack will allow authors to submit their manuscripts in a format that includes embedded code blocks and computed outputs, and for publishers to preserve these assets in an enhanced version of the published online article.
Cultural differences between industry and academia can create or increase difficulties in reproducing research findings.
Replicating our work took four years and 100,000 worms but brought surprising discoveries, explain Gordon J. Lithgow, Monica Driscoll and Patrick Phillips.
Two years ago this month, news of the replication crisis reached the front page of the New York Times.
Published P-values provide a window into the global enterprise of medical research. The aim of this study was to use the distribution of published P-values to estimate the relative frequencies of null and alternative hypotheses and to seek irregularities suggestive of publication bias.
The case for, and against, redefining "statistical significance."
Giving researchers the data skills they need to share, review, and validate each other’s work, writes Erin Becker.
Life scientists told us whether they would like to share and read computationally reproducible research articles.
There is too little sound research on journal peer review.
Science is endangered by statistical misunderstanding, and by university presidents and research funders who impose perverse incentives on scientists.
ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research.
A Tutorial on the Git Version Control System.
A peer-reviewed journal targeting computational research and encouraging the explicit replication of already published research.
