Q&A: After developing a better way to count homelessness, 91探花researchers discuss how more accurate data can help providers and people

October 29, 2024

Q&A: After developing a better way to count homelessness, 91探花researchers discuss how more accurate data can help providers and people

America鈥檚 homeless services system relies on a massive amount of data, and at first glance, that data is exacting. Federal reports describe the country鈥檚 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.聽 That data influences decisions at every level of government, from how the U.S….

September 19, 2024

Over 8 years, 91探花Population Health Initiative has turned ideas into impact

In a time-lapse image, a bus passes in front of a large building with a reflective glass exterior.

In just eight years, the 91探花Population Health Initiative has funded 227 innovative, interdisciplinary projects. With the Initiative now a third of the way into its 25-year vision, 91探花News checked in with three projects that recently received funding to scale their efforts.聽

October 29, 2020

Models show how COVID-19 cuts a neighborhood path

A research team led by UC Irvine and the 91探花 has created a new model of how the coronavirus can spread through a community. The model factors in network exposure 鈥� whom one interacts with 鈥� 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.

October 12, 2020

91探花awarded NIH grant for training in advanced data analytics for behavioral and social sciences

With a grant from the National Institutes of Health, a five-year, $1.8 million training program at the 91探花 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.