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Nasa names Artemis III crew, but a rocket explosion has thrown US Moon plans into turmoil
The New Glenn explosion could seriously delay the timetable for returning to the Moon.
OSI archive
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When men take parental leave, their careers may benefit — but women’s do not
New research using Canadian workplace data finds that men who take six months or more of parental leave are seen as warmer and more leadership-ready by colleagues.
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The 2026 World Cup is around the corner, but where is FIFA’s child safeguarding policy?
The commitments produce policy documents without enforcement mechanisms, are vague and are not tailored to the specific risks children face during a sports mega-event.
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Researchers ask us to rethink the ways we see and study the Arctic
Given increasing geopolitical tensions and economic interest in the region, how can academic research support those who live in and depend on the Arctic?
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Left-of-centre parties like Labour face challenges from both right and left – here’s what they can do about it
The social democratic movement is clearly under pressure.
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Mamma Mia! is Shakespeare’s Tempest in campy musical disguise
Both are tales set on islands where romance and mystery abound.
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Ocean monitoring is in trouble: without the US, it’s up to Europe and Asia to avoid losing sight of the world’s deep-sea ecosystems
Defunding marine monitoring networks could jeopardise efforts to avoid losing track of the world’s oceans and their precious ecosystems, which drive the blue economy.
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Why the EU economy should embrace digital currencies to become less dependent on the US
The US dominates international payment systems.
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Spice Girls at 30: how girl power changed pop
When the Spice Girls burst onto the scene in 1996 with their debut single Wannabe, they helped to reshape discussions around gender sexuality, power and pop culture.
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Can AI really spot the next football superstar – or is it changing the game in troubling ways?
Technology increasingly promises to make talent identification more efficient and more objective. But can talent can be reduced to numbers and can AI be bias-free?