The ASA’s Section on Statistical Learning and Data Science Conference will be held November 1–3 in New York City, bringing together academia, industry, and government to explore advances in statistical learning, AI, and inference.
Caucus for Women in Statistics and Data Science to Host Fourth International Day of Women
The fourth International Day of Women in Statistics and Data Science on October 14 will celebrate women’s contributions, mentorship, and diversity through global keynotes and sessions.
A Century of Leadership: Celebrating the Southern California Chapter
The chapter showcased its history as well as events like the Applied Statistics Workshop, student competitions, DataFest, and leadership initiatives that have advanced statistical science and built a vibrant community across academia, industry, and government.
This Month in Statistics History: October
October has seen incredible milestones—from the birthdays of pioneers such as Évariste Galois to Florence Nightingale to the first US electronic computer.
Meet ASA New Members with Spotlight on Jiaxi Sun
Meet new ASA member Jiaxi Sun, whose ideal job is to be come a policy maker and quantitative researcher.
September ‘Significance’ Features African Voices in Statistics, Data Science
The September issue features African perspectives on policymaking, education, agriculture, AI, and data-driven solutions to challenges across the continent.
Student Paper Competition Submissions Due November 15
Win a travel award to an ASA-sponsored conference! Learn about the general policies and procedures to apply.
Statisticians with Disabilities Offer Personal, Professional Insights
Statisticians share their lived experiences, professional contributions, and perspectives, emphasizing both the challenges they face and the unique insights they bring to the field.
ASA Advocates for Statistics Inclusion in Department of Education’s Priorities
The ASA urged the Department of Education to explicitly recognize statistics as a foundational element of AI literacy.
Mentors Wanted for High School Research in Statistics, Machine Learning
Olga Korosteleva seeks mentors to guide high school students through intensive, yearlong projects in statistics and machine learning.