Former U.S. Census Bureau and Pew Research Center data scientist and survey expert joins public opinion research ...

For a moment, consider this idea. What if you could bring together every piece of text humanity has ever created and pile it ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST)—a ten-year survey ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

Abstract: Highly performant AI models such as Large Language Models (LLMs) have achieved remarkable performance across various domains. It is widely acknowledged that their large model sizes lead to ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Eleanor has an undergraduate degree in zoology from the University of Reading and a master’s in wildlife documentary production from the University of Salford. Eleanor has an undergraduate degree in ...