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 Practical Significance, Sarah Kalicin and Glen Wright Colopy, members of the 2027 Symposium on Data Science and Statistics Program Committee, join hosts Donna LaLonde and Ron Wasserstein for a lively conversation about what makes this conference unique.
From emerging AI applications and real-world research to professional development, mentoring, and valuable connections, Kalicin and Colopy preview what attendees can expect. They also share advice for submitting a standout abstract; explain why students and early-career professionals should get involved; and highlight opportunities to learn, contribute, and grow.
Whether you’re considering submitting your work or simply looking to connect with the community advancing the field, this episode offers plenty of reasons to put SDSS 2027 on your calendar! And you won’t want to miss Ron’s traditional Top 10: “The Top Ten Ways for Statisticians to Prove They Are Not Robots.”
Submit an SDSS Refereed Abstract by November 30
This episode of the Practical Significance podcast is brought to you by Stata. For more than 40 years, Stata has been the trusted statistical software choice for researchers, analysts, and data professionals who demand accurate, reproducible results—from data management to visualization to advanced statistics and reporting—all in one intuitive platform. Backed by a global user community and expert support, Stata empowers you to focus on your research, not your software. Discover how Stata can power your research and analyses by visiting stata.com/AmstatPod.
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