Show Notes
The World Health Organization defines health equity as a public health concept describing equity of access to health resources for genetic, socio-environmental, and economic determinants of health, varying according to individuals, families, and social or societal groups. Concerns about data equity have surfaced, which may result in many populations, including those in rural areas with disabilities, experiencing homelessness or living in low and middle-income regions of the world, being underrepresented in health data sets. This can lead to biased findings and suboptimal health outcomes for certain subgroups, which is the focus of this episode of Stats+Stories with guest Bhramar Mukherjee.
Dr. Bhramar Mukherjee is the inaugural Senior Associate Dean of Public Health Data Science and Data Equity and the Anna M. R. Lauder Professor of Biostatistics, as well as Professor of Epidemiology and of Statistics and Data Science at Yale University. Among her many honors, she was elected to the US National Academy of Medicine in 2022.
More from Stats + Stories
The federal government generates a lot of data, produced by agencies such as the Bureau of Labor Statistics and the Census Bureau. These data inform the decisions leaders make that shape our lives. Covering these agencies and their statistics is no easy task. A Bloomberg journalist was recognized this year for her excellence in reporting on these data, and that’s the focus of this episode of Stats and Stories with guest Molly Smith.
Jessica G. Myrick (@jessmyrick) is an associate professor of media studies at the Bellisario College of Communications at Penn State University. Her research focuses on the role of emotions in shaping our responses to various types of media messagesMyrick's research has touched on topics ranging from skin cancer prevention campaigns and climate change appeals to the effects of incivility in responses to political Facebook posts and why we watch cat videos, and it has been featured in news outlets around the globe.
There's a lot of concern about how bots and algorithms shape our experiences, both online and off. Increasingly, those concerns are focused on our politics. Can bots fuel political polarization? Can algorithms shape political narratives? A recent study seeks to understand the agenda-building capabilities of social bots in a political context, and that is a focus of this episode of Stats and Stories, with Phillip Arceneaux and Josh Anderson.
During the 2010s, the United States netted just under one million new immigrants each year; between 2022 and 2024, that number was closer to three million. But since the election of Donald Trump, immigration to the U.S. has taken a nosedive, and potentially so has the economic growth of the country. The economic impact of the rise and fall of immigration to the U.S. is a focus of this episode of Stats and Stories, with Tara Watson.
When reporters cover mass shootings news outlets often struggle to find ways to cover the event that won’t inspire others to do the same thing. Something similar follows in the wake of a suicide. Journalists don’t always cover suicides in their communities but when they do one of the concerns is whether that coverage might lead to a spike in suicides after the story is out. The media’s influence on the actions of individuals is a chronic concern for researchers in a number of fields and is a focus of this episode of Stats and Stories with guest Joel Greenhouse