We reflect on epidemiological modeling conducted throughout the COVID-19 pandemic in Western Europe, specifically in Belgium, France, Italy, the Netherlands, Portugal, Switzerland, and the United ...

A new framework in AI & Society proposes standardizing expert–AI interactions into measurable fields so that language-model judges can detect risky behavior in deployed systems through e ...

The joint NSF-NIH initiative: Incorporating Human Behavior in Epidemiological Models (IHBEM) supports research that stimulates fundamental interdisciplinary, potentially transformative research ...

Francesca Dominici, Clarence James Gamble Professor of Biostatistics, Population, and Data Science at Harvard T.H. Chan School of Public Health and faculty director of the Harvard Data Science ...

A recent breakthrough study has introduced a novel methodology that significantly enhances the accuracy of epidemiological estimates for infectious diseases like COVID-19. The study, titled ...

When an outbreak of an infectious disease begins to spread, policymakers face an unenviable challenge. They must decide when to intervene and how forcefully, knowing that their choices carry both ...

Climate change, pandemics, and AI. At first glance, these seem like completely different problems. However, if you change ...

During an epidemic, some of the most critical questions for healthcare decision-makers are the hardest ones to answer: When will the epidemic peak, how many people will need treatment at once and how ...

We're increasingly aware of how misinformation can influence elections. About 73% of Americans report seeing misleading election news, and about half struggle to discern what is true or false. When it ...

A recent breakthrough study has introduced a novel methodology that significantly enhances the accuracy of epidemiological estimates for infectious diseases like COVID-19. A recent breakthrough study ...