Reproducibility is fundamental to science. Yet digital technology casts an increasingly long shadow on the principle. When independent investigators examine studies, they are unable to validate about ...
Many systems like autonomous vehicle fleets and drone swarms can be modeled as Multi-Agent Reinforcement Learning (MARL) tasks, which deal with how multiple machines can learn to collaborate, ...
Clarissa Carneiro, a meta scientist and currently the co-executive director at the Brazilian Reproducibility Network, experienced the reproducibility challenge firsthand. As an undergraduate student ...
"If researchers want to build on knowledge, they should be able to replicate results to fully comprehend the research that has been done before," says Daniel J. Stekhoven, Ph.D., director of NEXUS ...
The ability to replicate research findings remains a mainstay of the scientific process, allowing experts to assess and challenge an evolving evidence base. But a growing body of research shows that ...
Community-developed guidelines for publishing images help address reproducibility problem in science
The use of images in scientific papers is more popular than ever, but there have been no common standards for their publication -- until now. Images created by a plethora of high-tech instruments are ...
Catching problems through replication early on can prevent cancer patients from getting their hopes up about early studies dubbed "promising." National Institutes of Health A key tenant in the ...
Community-developed guidelines for publishing images help address reproducibility problem in science
Images created by a plethora of high-tech instruments are widely found in scientific research as both illustrations and sources of data. Recent advancements in light (or optical) microscopy in ...
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