Research management

Industry collaborations demand thoughtful planning and engagement that extend beyond the bench in order to achieve the real-world impact that universities and researchers hope their discoveries will generate. Here are key considerations

Are the argument, evidence, structure and style working in your scholarly book? Or are you stuck in a cycle of ‘directionless tinkering’? Find out why developmental editing is crucial to addressing big-picture issues and ensuring a manuscript connects with its target readership

With GenAI taking a larger role in research and education, Sorin Krammer looks at the data management habits academics can no longer ignore

Early action matters when it comes to protecting and commercialising university innovations. This step-by-step technology transfer process bridges the gap between lab discoveries and real-world impact

Find advice on knowledge transfer and working with outside companies to help students gain experience, leverage existing research infrastructure and build solid partnerships

Large language models may not simply replicate human analyses of qualitative data; they can offer additional insights and both challenge researchers' assumptions and prompt further reflection on their interpretations

Academic writing is often framed as something faculty should simply manage better; when they struggle, the blame is put on the individual academic. But this explanation doesn’t hold, as Rachel Gabriele explains

Rather than asking what writing can be outsourced to AI, we might first ask which parts of the process need to remain slow, imperfect and human, argue four academics

How do academics and research managers really feel about impact management? Here’s how it can be done badly, and how to do it right

Artificial intelligence can accelerate discovery in ways humans alone cannot. For Hongliang Xin, the key is pairing AI’s power with ethical safeguards, institutional governance and responsible oversight