The cultural yardsticks used to measure merit in STEM are warped with bias and often devalue women, people of colour and LGBTQ+ scientists with records equal to white heterosexual male peers. To fix STEM inequality, academia must reconceive merit
Traditional teaching in data analysis focuses on statistics and visualisation but an emphasis on foundational data and computational skills is needed to prepare students to work with real data, explains Philip Leftwich
John Womersley managed more than 50 nationalities on a €3 billion science project. Here, he reflects on the experience and gives tips on getting the most out of a diverse team
Lots of new terminology can leave students feeling overwhelmed. Sonja Dunbar shares one way to build student confidence when encountering discipline-specific terms
Make mathematics fun and engaging by creating a warm and welcoming class environment and applying lessons to real-life contexts, Pattama Sornkao explains
The requirement for potential STEM students to have studied traditionally related subjects such as maths and physics seems outdated and unnecessary, says Judy Raper
Mature female students face barriers to success in STEM subjects, but steps can be taken to address this. Liette Vasseur explains what needs to be done
