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 ...

Halting the accelerating decline of global biodiversity requires robust models to project future changes and inform policy decisions. Climate models, especially model intercomparison projects, were ...

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 ...

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, ...

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 ...

What is the appropriate place for science in society? Despite the vast literature on the subject, the science–society relation remains a disputed issue. A major reason is that, when we are asking ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

Data science can make robotic process automation more intelligent. Robotic process automation make it easier to deploy data science models in production. Robotic process automation (RPA) companies are ...

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 ...