After #COVIDー19 crisis passes, could we have a good faith discussion about the uses and abuses of "modeling" to predict the future? Everything from public health ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

As global challenges grow increasingly interconnected, technological solutions are rarely confined to a single country. Through research collaboration, open sharing of expertise and partnerships with ...

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Data science models deal with uncertainty. Apart from limited ...

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Text data is one of the largest forms of unstructured data and ...

The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative shift in data analysis, interpretation and content generation. These models, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Editors’ Note: Read responses to this essay by epidemiologists Marc Lipsitch and John Ioannidis, as well as a final response by Jonathan Fuller. All these pieces appear in print in Thinking in a ...

Research on human physiology and on prevention, treatments, and cures for disease relies on model systems with sufficient complexity, and nonhuman primates are used in biomedical research to meet ...