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Practical Significance
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As technology advances, one thing remains clear: The knowledge, critical thinking, and experience of statisticians and data scientists are essential to making these advances meaningful. Artificial intelligence is transforming the way we work, solve problems, and make sense of data. Statistical thinking is what turns that potential into reliable insight. In the November episode of […]
ASA communications are about people. They spotlight our stories, connect our community, and make the profession accessible to a broad audience. In this episode of Practical Significance, co-hosts Donna LaLonde and Ron Wasserstein welcome ASA Communications Manager Megan Murphy and Communications Strategist Val Nirala for a behind-the-scenes look at how the ASA communications team brings […]
In this episode of Practical Significance, co-hosts Ron Wasserstein and Donna LaLonde talk with Meaghan Parker of the Council for the Advancement of Science Writing about the changing landscape of science journalism and why accurate, independent reporting remains essential to public understanding and trust.
Data and computing shape nearly every aspect of modern life, yet K–12 education has struggled to keep pace. In this episode of Practical Significance, Donna LaLonde and Ron Wasserstein welcome Nick Horton (Amherst College) and Anna Bargagliotti (Loyola Marymount University) to discuss the National Academies report, Data and Computing in K–12 Foundational Competencies 2026. Together, they unpack the report’s […]
What can a salary survey tell us about the current state of the statistics profession? Quite a lot as it turns out. In this episode of Practical Significance, cohosts Donna LaLonde and Ron Wasserstein welcome Christine Filer and Gary Langer of Langer Research Associates to discuss the findings of the recent ASA Work and Salary […]




