For more than 65 years, Bob Riffenburgh practiced and taught statistics in multiple fields. This year, the ASA established the Riffenburgh Award in his honor.
Featured Stories
New Report on US Data Infrastructure: An Interview with Robert Groves
The first of three reports from a National Academies Committee on National Statistics panel explains why the US needs a revamped infrastructure. Committee chair Robert M. Groves answers questions about the panel’s vision.
Putting Our JEDI Values into Action: It’s Past Time for a Chinese-American ASA President
Chinese statisticians have been regularly passed by for leadership in the ASA, despite their prominence in our profession and their long history of outstanding contribution.
More Work Needed to Increase Racial, Ethnic Diversity in Biostatistics, Epidemiology Departments
Melody Goodman, Jemar Bather, Xiangying Chu, Marcello Pagano, Christine Plepys, and Ronnie Sebro recently published a paper titled “Racial and Ethnic Diversity Among Students, Graduates, and Faculty in Biostatistics and Epidemiology, 2010–2020” in Public Health Reports. We had a few questions for lead author Melody Goodman, who is the associate dean for research and professor of biostatistics at New York University School of Global Public Health. Check out here answers here.
Establishing and Maintaining Trust in a Federal Statistical Agency: A Discussion from the National Academies
The Office of Management and Budget, Congress, and National Academies deem professional independence necessary for an agency to establish trust in its products. Professional independence includes an agency’s autonomy over its budget, information technology, hiring, publications, contracting, and data collection and analysis. To further the understanding of the importance of statistical agency autonomy, we include the autonomy portions of a discussion between Robert Groves and Hermann Habermann, James Lynch, and Charles Rothwell.
Meet Robert Santos, US Census Bureau Director
Robert Santos’s career spans more than 40 years in survey research, statistical design and analysis, and executive-level management.
What’s Going On in This Graph? Begins Sixth Year
Led by Sharon Hessney and designed for students in grades 7 and above, the program helps teachers lead class discussions about graphs appearing in The New York Times.
Equity and Bias in Algorithms: A Discussion of the Landscape and Techniques for Practitioners
Algorithmic bias can occur as a result of decisions made throughout the algorithm development and deployment process. Left unaddressed, it can deeply affect equity. Emily Hadley looks at techniques to consider when developing algorithms.
Statisticians and Wildfires at the Wildland/Urban Interface
Although statisticians have been involved in various aspects of wildfire modeling for years, greater numbers of megafires, new data sources, and methodological advancements in statistics and data science are leading to increasing involvement.
Prescribing Privacy: Human and Computational Resource Limitations
Jingchen (Monika) Hu and Claire McKay Bowen look at how statisticians and data scientists can improve data privacy and confidentiality in our local—as well as federal—government and why they should.