Giving Day is an opportunity for the statistics and data science community to unite in support of initiatives that have a profound impact on the future of the field.
Featured Stories
ICHPS 2025: Statistical Innovation to Improve Health Equity
Statisticians, health service researchers, health economists, epidemiologists, and policy analysts will gather at the 15th International Conference on Health Policy Statistics to exchange and build on ideas to improve health equity research.
Data Art: Where Statistics Meet Creativity
Over the last 15 years, statistics professor Gregory Matthews’ path has led him to the intersection of mathematical precision and artistic expression, where he is thriving. Here, he discusses the difference between data art and data visualization.
Designing Spatial Experimental Plots for Comprehension
Alison Kleffner explores innovative design solutions to overcome common visualization challenges, improving accuracy and insight in field experiments.
Data Exploration Through Time
Catherine Durso shows us how time as a dimension transforms static data into dynamic visual stories, enhancing our ability to interpret complex information.
Catching Up with Nathan Yau: 14 Years Later
We recently caught up with Nathan Yau to see what he has learned since 2010 and what he can teach statisticians and data scientists about data visualization and information design.
Introducing Our Newest Members: Spotlight on Lida Wang
This month, we feature our newest member, Lida Wang, a fourth-year biostatistics PhD student whose plan is to seek postdoctoral opportunities in statistical genetics and data science fields.
Honor a Member with a Legacy Page
Richard Zink explains how to create a campaign to set up a permanent legacy page on behalf of another individual, alive or deceased.
New Report Concludes Federal Statistics at Risk
The Nation’s Data at Risk: Meeting America’s Information Needs for the 21st Century—a report by a team of American Statistical Association and George Mason University researchers—concluded federal statistical agencies are struggling with growing challenges that prevent them from innovating enough to meet the information and evidence demands of the 21st century.
Data Science Statement Updated to Include AI
The ASA Committee on Data Science and Artificial Intelligence revised the ASA Statement on the Role of Statistics in Data Science to include artificial intelligence. The statement is now titled the ASA Statement on the Role of Statistics in Data Science and Artificial Intelligence.