Part one of a four part series on major barriers to equitable decision-making in hiring, review, promotion, and tenure processes that commonly result from biased thinking in academia. Part one delves into objective comparisons.
Centuries of bias have impeded the advance of human knowledge. As the COVID-19 pandemic makes evident, new threats may emerge suddenly. The world cannot protect itself without the intelligence and skill of half the human race.
The study replicates the NIPS experiment of 2014, showing that the ratings of peer review are not robust, and that altering reviewers leads to a dramatic impact on the ranking of the papers. This paper also shows that innovative works are not highly ranked in the existing peer review process, and in consequence are often rejected.
Healthcare Algorithm Used Across America Has Dramatic Racial Biases
The U.S. health care system uses commercial algorithms to guide health decisions. A study found evidence of racial bias in one widely used algorithm, such that black patients assigned the same level of risk by the algorithm are sicker than white patients.
Committees with Implicit Biases Promote Fewer Women when They Do Not Believe Gender Bias Exists
In a nationwide competition for elite research positions, committees that hold strong implicit gender biases and doubt that women face external barriers to their success are observed to promote fewer women.
Why It’s Hard to Prove Gender Discrimination in Science
Lack of transparency and unconscious biases make it hard to spot inequality. Scientists pride themselves on objectivity, and may, therefore, be slow to see how unconscious biases alter their judgment and actions.
As the Intergovernmental Panel on Climate Change prepares to release its Fifth Assessment Report (AR5) -- the latest installment of its comprehensive assessment of climate science -- early next year, the science is already under attack. As the U.S. Global Change Research Program puts the final draft