The onset of the COVID-19 pandemic allowed governments to roll out higher surveillance systems without pushback from citizens.
Such emergencies “can be moments where governments roll out new invasive forms of data collection and it just becomes...
New data reveals that food insecurity stayed low during the pandemic stayed at relatively low levels, which Luke Shaefer attributes to expanded government aid.
“We now have definitive evidence that food hardship is responsive to government aid....
Joy Rohde's "Pax Technologica: Computers, international affairs, and human reason in the Cold War" was published in Isis in December.
Abstract
From the late 1960s to the early 1980s, a team of U.S. political scientists and computer...
ANN ARBOR—A new map that streamlines an overwhelming amount of poverty and well-being data will make it easier to understand what's happening in counties across Michigan.
Poverty Solutions—the University of Michigan's major initiative dedicated...
Want to use your data skills to develop solutions to social challenges facing the city of Detroit? The Detroit Data Fellows Program is a two-year, full-time post-graduate fellowship during which participants work with city agencies to analyze...
Susan M. Collins, Joan and Sanford Weill Dean of Public Policy at the Ford School, was one of several economists who provided insight into possible actions the Federal Reserve could take in the coming year following its decision to not raise...
The United States government has a portfolio of roughly $1 trillion in student loans, many of which appear to be troubled writes Susan Dynarski in the business section of the Sunday New York Times. Dynarski’s column, “We’re frighteningly in the dark...
The Poverty Narrative: Confronting Inequity
Join us as we discuss connections between structural racism, and poverty in the U.S., and confronting policies and practices that perpetuate inequity in public health, housing, education and data.
This class will meet in person on:
January 19
January 24
January 26
January 28 - Lab (10:00-11:50am, 3117 Weill Hall)
January 31
February 2
February 4 - Lab (10:00-11:50am, 3117 Weill Hall)
This course is designed to familiarize students with core skills in data access, manipulation, analysis, and presentation using Excel (and Excel-like alternatives).
