Money Matters
Individual Donors in U.S. Federal Campaigns
Individual Donors in U.S. Federal Campaigns
Statistical description is not anything goes. Important quantities of interest arise from generatively accurate models— which inform our understanding of American democracy.
Individual Donors in U.S. Federal Campaigns
Americans perceive latent partisanship of scientists, and this influences their trust in scientific findings.
Americans perceive latent partisanship of scientists, and this influences their trust in scientific findings.
We provide a new data-driven foundation for understanding the structure of influential stakeholders' online conversations in the climate and sustainability space.
We examine the multivariate correlates of trust in university research and opinions about climate change using high-quality survey data.
Methods for Large Scale Text Data
Measuring Leadership in the U.S. House of Representatives from Social Media Data
Americans perceive latent partisanship of scientists, and this influences their trust in scientific findings.
How Social Media Attacks on Election Officials in 2020 Undermined American Election Institutions
Abortion rights and issues-based frameworks for elections
Individual Donors in U.S. Federal Campaigns
How Social Media Attacks on Election Officials in 2020 Undermined American Election Institutions
Statistical description is not anything goes. Important quantities of interest arise from generatively accurate models— which inform our understanding of American democracy.
Methods for Large Scale Text Data
We provide a new data-driven foundation for understanding the structure of influential stakeholders' online conversations in the climate and sustainability space.
How Social Media Attacks on Election Officials in 2020 Undermined American Election Institutions
Insights from Using Machine Learning and Natural Language Processing with Twitter Data
Measuring Leadership in the U.S. House of Representatives from Social Media Data
Measuring Leadership in the U.S. House of Representatives from Social Media Data
Insights from Using Machine Learning and Natural Language Processing with Twitter Data
Statistical description is not anything goes. Important quantities of interest arise from generatively accurate models— which inform our understanding of American democracy.
Abortion rights and issues-based frameworks for elections
Americans perceive latent partisanship of scientists, and this influences their trust in scientific findings.
Abortion rights and issues-based frameworks for elections
We examine the multivariate correlates of trust in university research and opinions about climate change using high-quality survey data.
Methods for Large Scale Text Data
Methods for Large Scale Text Data
We provide a new data-driven foundation for understanding the structure of influential stakeholders' online conversations in the climate and sustainability space.
How Social Media Attacks on Election Officials in 2020 Undermined American Election Institutions
Insights from Using Machine Learning and Natural Language Processing with Twitter Data
Measuring Leadership in the U.S. House of Representatives from Social Media Data
How Social Media Attacks on Election Officials in 2020 Undermined American Election Institutions
Americans perceive latent partisanship of scientists, and this influences their trust in scientific findings.
We provide a new data-driven foundation for understanding the structure of influential stakeholders' online conversations in the climate and sustainability space.
We examine the multivariate correlates of trust in university research and opinions about climate change using high-quality survey data.