The global impact of Universidad Nacional Autónoma de México (UNAM) research is set to increase under a new open access (OA) agreement with publisher Taylor & Francis. The three-year partnership will enable UNAM researchers to publish OA articles in more than 2,400 journals.

From deadly floods in Europe to intensifying tropical cyclones around the world, the climate crisis has made timely and precise forecasting more essential than ever. Yet traditional forecasting methods rely on highly complex numerical models developed over decades, requiring powerful supercomputers and large teams of experts. According to its developers, Aurora offers a powerful and efficient alternative using artificial intelligence.

Researchers at University of Tsukuba have mathematically elucidated how the presence of crystals and gas bubbles in magma affects the propagation of seismic P-waves. A novel equation was derived to describe the travel of these waves through magma, demonstrating how varying proportions of crystals and bubbles influence wave velocity and waveform characteristics.

Researchers at University of Tsukuba have classified newly certified older adults (aged 65 and over) who have started using long-term care insurance services into five groups based on patterns of physical and cognitive functions, and have clarified the characteristics and prognoses of each group. This achievement is expected to support the evaluation and provision of optimal medical and long-term care services tailored to each group, by helping care recipients and providers better understand the characteristics of those in need of care.

Derek Leben, in his new book AI Fairness: Designing Equal Opportunity Algorithms (MIT Press, 2025), tackles this pressing issue, offering a philosophical framework to evaluate and mitigate the inherent biases of AI. Leben draws inspiration from the work of the philosopher John Rawls, proposing a theory of algorithmic justice built upon core principles including autonomy, equal treatment, and equal impact. These principles, he argues, should guide the design and deployment of AI systems, ensuring they meet a "minimally acceptable level of accuracy," avoid irrelevant attributes, and provide equal opportunity.