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America’s homeless services system relies on a massive amount of data, and at first glance, that data is exacting. Federal reports describe the country’s unhoused population in granular detail, listing precisely how many people are experiencing homelessness in each city along with detailed demographic data. Want to know how many people ages 55-64 slept outside in Spokane last year? A spreadsheet confidently provides the answer: just one.  That data influences decisions at every level of government, from how the U.S….

A research team led by UC Irvine and the University of Washington has created a new model of how the coronavirus can spread through a community. The model factors in network exposure — whom one interacts with — and demographics to simulate at a more detailed level both where and how quickly the coronavirus could spread through Seattle and 18 other major cities.

With a grant from the National Institutes of Health, a five-year, $1.8 million training program at the University of Washington will fund 25 academic-year graduate fellowships, develop a new training curriculum and contribute to methodological advances in health research at the intersection of demography and data science.