HPC Seminar: Geographic and Temporal Patterns in Covid-19 and Excess Mortality in the United States

Andrew C. Stokes, PhDAssistant Professor of Global Health & Sociology Center for Innovation in Social Science Boston UniversityFounded in response to the Covid-19 pandemic in 2020, Dr. Stokes created and leads a project focused on quantifying uncounted Covid-19 deaths in local communities across the United States. The project seeks to reveal the hidden death toll […]

HPC Seminar: The Statistical Measurement of Poverty: Income, Consumption, or Expenditure?

Robert Moffitt, PhD Krieger-Eisenhower Professor of Economics, Johns Hopkins University Abstract: Most countries, including the US, measure poverty by the fraction of households with income below a specified threshold. Income measures have been criticized on a number of grounds. An alternative measure favored by some economists measures poverty as the fraction whose consumption—as defined using […]

Neighborhood Racial Change in America during the Late 20th and Early 21st Centuries

Michael Bader, Associate Professor of Sociology, Director of 21CC (co-sponsored with 21CC) Abstract: In the face of changes to the American population since the Civil Rights Movement, we will tend to explain patterns of racial change based on theories developed in the early and middle of the 20th century. According to these theories White flight, […]

Designing Diversity for Sustained Societal Innovation

SNF Agora Institute, Sociology, and Hopkins Population Center Co-Sponsored Seminar Dr. James EvansMax Palevksy Professor of Sociology, Director of Knowledge Lab, and Founding Faculty Director ofComputational Social Science at the University of Chicago and the Santa Fe Institute Abstract The wisdom of crowds hinges on the independence and diversity of their members’ information andapproach. Here […]

A Conservative Extrapolation Approach to Trustworthy AI

Dr. Anqi Liu, Assistant professor in the Department of Computer Science at the Whiting School of Engineering of the Johns Hopkins University Abstract The unprecedented prediction accuracy of modern machine learning beckons for its application in a wide range of real-world applications, including many socially-critical ones like healthcare, education, and hiring.  A key challenge in […]