A panel at the 2025 Women in Statistics and Data Science Conference explored invisible and mental health disabilities in statistics, ADA protections, and strategies for creating more inclusive workplaces.
WSDS
My ASA Story: Akshata Moharir, Lead Data Scientist
Microsoft lead data scientist Akshata Moharir shares how joining the ASA has connected her with mentors, speaking opportunities, and a supportive community that helped her grow from practitioner to thought leader in AI and data science.
WSDS Provides Student Travel Awards
Awards are available to help students and early-career professionals pay for the Women in Statistics and Data Science Conference.
November Is for Thankfulness
Katherine Ensor discusses what she is grateful for, including her colleagues at Rice University and her family.
Apply for WSDS 2022 Travel Awards
Applications for aid from students and early-career professionals must be received by 5:00 p.m. ET on August 22.
Register for WSDS 2022 Today
The Women in Statistics and Data Science Conference will convene in person to celebrate women in statistics and data science and bring together leaders from academia, government, and industry.
My ASA Story: Claire Kelling, PhD Candidate
Claire Kelling joined the ASA in graduate school and had an invaluable experience at the Women in Statistics and Data Science Conference in 2017, which sparked her association engagement.
ASA Support for Women in Statistics: A Critical Data for Good Mission
This month, David Corliss shows the many ways the ASA fosters Data for Good activities with support for women in statistics and data science.
Goals Met, Celebrated at Women in Statistics and Data Science Conference
Once again, those attending the 2021 Women in Statistics and Data Science Conference realized their goals of celebrating successes, growing influence, building community, and sharing knowledge.
My ASA Story: Leslie McClure, Professor
Leslie McClure says she found involvement in the ASA has allowed her to pursue her passion for increasing diversity and representation among folks traditionally underrepresented in statistics, including BIPOC statisticians, statisticians who identify as women, and LBGTQ+ statisticians.