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What if AI literacy weren’t developed in research labs alone, but co-designed with the communities it is intended to serve? That question brought together 54 participants from five countries for Commun-AI-ty: Building Science Communication Skills for Explaining AI in Science, a 3.5-day workshop held at the University of Michigan from June 23–26, 2026. Made possible ...

Matthew Andres Moreno, a Schmidt AI in Science Fellow, led groundbreaking research using the Pittsburgh Supercomputing Center’s Neocortex supercomputer to investigate why rapidly mutating organisms (“hypermutators”) rarely dominate in nature. By scaling evolutionary simulations from thousands to 1.5 billion virtual organisms, Moreno’s work uncovered how population size and the availability of beneficial mutations shape evolutionary ...

MIDAS African Faculty Fellow Dr. Verrah Otiende recently led a hands-on Data Visualization in R workshop for graduate students and postdocs, introducing participants to the R programming language and the ggplot2 visualization tool. The workshop brought together researchers with varying levels of coding experience to explore how raw research data can be transformed into clean, ...

The Michigan Institute for Data and AI in Society (MIDAS) hosted the University of Michigan Uncertainty Quantification (UQ) Incubator from May 31 to June 3, 2026, bringing together researchers from a range of disciplines, including uncertainty quantification (UQ), artificial intelligence, science and engineering, to explore how AI systems can become more reliable, interpretable and trustworthy. ...