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Data show that the representation of scientists from marginalized ethnicities dwindles at each stage of UK academia.
Concerns about systemic racism at academic and research institutions have increased. A study investigates data from the National Science Foundation (NSF) and find evidence for pervasive racial disparities.
Nature examines its history in order to acknowledge it - and learn from it.
Nature investigates multiple instances of scholars on working visas experiencing abuse and salary discrimination.
The historical lack of racial representation in dermatology textbooks isn't just a problem in countries with majority white populations, but across the globe.
Employers need to do more to improve workplace diversity, equity and inclusion, a Nature survey finds.
NIH data hint at the extent of bullying and emotional abuse, but barriers to tackling the issue remain high, says Joanna Buscemi.
Discrimination and harassment violate scientific integrity – but the damage they do goes beyond that.
Will history judge? Reflections from historians about the intense relationship of past and present.
A new oath asks physicians to eliminate their personal biases, combat disinformation to improve health literacy and be an ally to minorities and other underserved groups in society.
Study would seek to identify effects of bias and how to promote equity.
In what may be the first known case of its kind, a faulty facial recognition match led to a Michigan man's arrest for a crime he did not commit.
Academics and some scientific organizations will stop research activities on 10 June to reflect and take action on systemic inequalities in science.
Both hashtags trended on social media over the weekend and speak to pervasive racial inequity.
The pandemic is fuelling deplorable racism and discrimination, especially against Asian people. Education and research will also pay the price.
What are racial microaggressions and how do they appear within science communities?
The U.S. health care system uses commercial algorithms to guide health decisions. Obermeyer et al. find 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 (see the Perspective by Benjamin). The authors estimated that this racial bias reduces the number of Black patients identified for extra care by more than half.
We scientists must stand up for openness and fairness. Discriminating against someone because of their ethnicity, turning down a collaboration or refusing a visa for a conference on the grounds of nationality, or simply making someone feel unwelcome because they are an immigrant - these are all morally objectionable and practically counterproductive. Such behaviour must cease.
