The Collaborative Undergraduate Biostatistics Experience (CUBE) is gearing up for its second year at Virginia Tech this summer. CUBE exposes undergraduate STEM students, specifically those who are part of an underrepresented/minority population, to the data science and collaborative biostatistics fields.
Featured Stories
Earth Day Projects: Measuring Climate Change and Taking Action
It’s April, the flowers are blooming, and the birds are singing, so it must be time for Stats4Good’s annual list of Earth Day project ideas.
Everything You Need to Know About ASA Ethical Guidelines for Statistical Practice
The ASA’s mission—Promoting the Practice and Profession of Statistics—has an important advocacy element in the ASA Ethical Guidelines for Statistical Practice. These guidelines “are intended to help statistical practitioners make decisions ethically.”
2023 ASA Election – BOD Candidate Statements and Open Section Positions
The ASA announces the candidates for the 2023 election. Voting begins April 3 and runs through May 1.
A Year in Review: JEDI Student and Young Professionals Committee
Lydia Gibson looks back at 2022 and discusses all the ASA JEDI Student and Young Professionals Committee accomplished.
ICES VII to Take Place in Scotland Next June
The program committee invites you to submit a proposal for an invited paper session from March 1 – May 15.
Donations Help ASA’s Work, Affect National Interests
The ASA’s director of development, Amanda Malloy, shares how the ASA has been investing in statistics and data science education and inspiring students to pursue careers in STEM.
JEDI Corner: Suggestions for Combining Secondary Data Analysis and Community-Based Research
Traditional approaches to secondary data analysis do not involve the people most affected by the analysis, which can create distance between statisticians or data scientists and the communities behind it. By connecting secondary data analysis with community-based research, we can decrease this distance.
Measuring and Reducing Bias in Machine Learning, AI
Learning to avoid sources of bias and quantifying and minimizing its impact allow the realization of the promise of machine learning and artificial intelligence to benefit all, David Corliss says.
What Is COSSA Doing for You?
The Consortium of Social Science Associations serves as a bridge between research and government and lobbies Congress directly to translate scientific information and findings into sound policy and increased funding.