Skip to main content
Premium Trial:

Request an Annual Quote

Step Right up to Fix Peer Review

Got an idea to improve impartiality in the peer review process? The US National Institutes of Health has two challenges — with first prizes of $10,000 — open to submissions for ideas on how to detect and deal with biases in peer review.

For the first of the challenges, the Center for Scientific Review at NIH is seeking new strategies or methods to determine whether review bias is contributing the difference in funding rates between African-American and white researchers. "Submissions," the challenge description says, "could include approaches, strategies, methodologies and/or measures that would be sensitive to detecting bias among reviewers based on race/ethnicity, gender, institutional affiliation, area of science, and/or amount of research experience of applicants."

The second challenge, meanwhile, is focused on increasing the fairness and impartiality of peer review. "Each idea should be provided in sufficient detail to assess its ability to address fairness and impartiality with regards to gender, race/ethnicity, institutional affiliation, area of science, and/or amount of research experience of applicants," the challenge description says.

The submission deadline for both challenges is June 30, 2014, and winners will be announced September 2, 2014.

The Scan

Genetic Ancestry of South America's Indigenous Mapuche Traced

Researchers in Current Biology analyzed genome-wide data from more than five dozen Mapuche individuals to better understand their genetic history.

Study Finds Variants Linked to Diverticular Disease, Presents Polygenic Score

A new study in Cell Genomics reports on more than 150 genetic variants associated with risk of diverticular disease.

Mild, Severe Psoriasis Marked by Different Molecular Features, Spatial Transcriptomic Analysis Finds

A spatial transcriptomics paper in Science Immunology finds differences in cell and signaling pathway activity between mild and severe psoriasis.

ChatGPT Does As Well As Humans Answering Genetics Questions, Study Finds

Researchers in the European Journal of Human Genetics had ChatGPT answer genetics-related questions, finding it was about 68 percent accurate, but sometimes gave different answers to the same question.