Artificial intelligence can vastly improve productivity and advance innovation, but integrating AI into academia brings significant ethical implications. These policies and procedures could help mitigate these concerns
If you’re concerned that research culture is valuing output over well-being, or prioritising prestige over passion, these tips could help you move towards more supportive and collaborative labs and departments
Semiconductors are essential for modern electronic devices, AI hardware and economic efficiency and growth. How can we drive continued progress and innovation in this field? International collaborations are key, as Cindy Yi explains
Technology and peer learning can be used to optimise classroom time and enhance problem-solving skills. Here, Teck Seng Koh uses a sample lesson to illustrate how to develop students’ analysis capacity
An effective international initiative can benefit a whole host of stakeholders – universities, industry leaders, students, wider communities. But how do we get to success? Cindy Yi looks at the opportunities and challenges of international collaborations using a real-world example
Hearing first-hand from industry professionals about AI’s impact on workplaces can alleviate career anxiety. Here is how to organise firm visits and prompt post-activity reflection
The siloed approach to education – where students in technical, business, humanities and arts disciplines learn separately – is no longer adequate, writes Lisa McNair
STEM curricula in the US don’t often expose students to perspectives on culture, history and power nor equip them with effective community engagement skills. Here, an instructor and students share lessons from designing and teaching an interdisciplinary course that sought to address that gap
A foundational pathway that nurtures future leaders in healthcare and scientific innovation produces students who are not only ready for their PhD journey but emerge as skilled professionals and researchers, write Zoltán Benyó and Attila Szijártó
