Communication in Statistics and Data Science

Peter Craigmile Chair
Hunter College, CUNY
 
Marie O'Neill Panelist
University of Michigan School of Public Health
 
Regina Nuzzo Panelist
Gallaudet University
 
Madhumita Ghosh Dastidar Panelist
RAND Corporation
 
Elizabeth Mannshardt Panelist
Westat
 
Snehalata Huzurbazar Panelist
Emory University
 
Yawen Guan Organizer
Colorado State University
 
Tuesday, Aug 5: 2:00 PM - 3:50 PM
0517 
Invited Panel Session 
Music City Center 
Room: CC-211 
Statisticians and data scientists are making enormous contributions to the science and methodology in societally critical areas including climate change, medical advances, social justice, and artificial intelligence. As technologies rapidly innovate and the data landscape expands the need for collaborations and understanding becomes even more critical and another theme emerges: the need for scientific communication, outreach, and community awareness, as well as education and empowerment of non-scientist, students, or citizens. This panel will discuss needs and approaches for scientific communication including building relationships with other scientific communities, the media, and the public; and statisticians as ambassadors for the rigorous science behind the message. Panelists from academe, industry, and government including representatives from the ASA Executive Board, federal statistics, computer and information science, and data science journalism. They have played roles in the development of technical solutions for health, policy making, AI, and climate change - connecting across organizations, stakeholders, and with the public and in engaging communities for education and impact on issues from national public policy to change at the local level. The panel will address themes from the 2024 ASA President's initiative on community engagement and spotlight the JSM 2025 theme of enriching society through data science communications.

Applied

Yes

Main Sponsor

ASA Advisory Committee on Climate Change Policy

Co Sponsors

Caucus for Women in Statistics
Section on Statistics and the Environment