Understanding Human Populations - Dr. Elizabeth Wrigley-Field (University of Minnesota)
How long will the people in a particular population live? How do we know if a cancer treatment works, or whether parents pass their socioeconomic status to their children? How often do formerly incarcerated people return to prison, and how long (on average) will current marriages last? All these questions seem straightforward. However, answering each of them can go awry in a similar way. A single mathematical relationship, LENGTH-BIASED SAMPLING, allows analysis of a diverse set of phenomena, and it presents new, easy-to-understand insights into human populations.
On December 8, 2022, Dr. Elizabeth Wrigley-Field gave this Zoom talk for Wonderfest, the San Francisco Bay Area Beacon of Science. The presentation's full title is "Length-Biased Sampling as a Unifying Concept for Understanding Populations." Dr. Wrigley-Field is Assistant Professor at the University of Minnesota in the Department of Sociology and at the Minnesota Population Center.
The video host is Wonderfest's Tucker Hiatt. Dr. Wrigley-Field DOES appear on screen at (and after) the 3-minute point in the video. Neeti Sonth, noble Wonderfest volunteer, edited the video.
Видео Understanding Human Populations - Dr. Elizabeth Wrigley-Field (University of Minnesota) канала Wonderfest Science
On December 8, 2022, Dr. Elizabeth Wrigley-Field gave this Zoom talk for Wonderfest, the San Francisco Bay Area Beacon of Science. The presentation's full title is "Length-Biased Sampling as a Unifying Concept for Understanding Populations." Dr. Wrigley-Field is Assistant Professor at the University of Minnesota in the Department of Sociology and at the Minnesota Population Center.
The video host is Wonderfest's Tucker Hiatt. Dr. Wrigley-Field DOES appear on screen at (and after) the 3-minute point in the video. Neeti Sonth, noble Wonderfest volunteer, edited the video.
Видео Understanding Human Populations - Dr. Elizabeth Wrigley-Field (University of Minnesota) канала Wonderfest Science
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