Scientific uncertainty arises from the inherent limits of empirical knowledge, variability in data and evolving methodologies. Communicating this uncertainty is essential to maintain transparency, ...

Earlier this summer, the four of us spent three days in a room with a dozen others whose jobs sound nothing like ours, or ...

A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work. Pollsters trying to predict presidential election results ...

The COVID-19 pandemic brought many issues in health care to light, including the issues of scientific integrity; decision making in the face of scarce or conflicting data; and rapidly-changing ...

A team at EPFL have developed a framework that trains Large Language Models to create AI systems that can find the best ...

Christie Aschwanden: Rosemerry, do you remember that time we were hiking along the lake on Enchanted Mesa [in Colorado], and I told you I was thinking about doing a project about science and ...