Developing and Maintaining Open Source Resources for Statistics and Data Science Education — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics, Section on Statistical Computing, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
Elevating Applied Statistics in Academic Departments — Invited Panel
Section on Statistical Consulting, Committee on Applied Statisticians, Section on Teaching of Statistics in the Health Sciences, Caucus for Women in Statistics
Organizer(s): Julia Sharp, Colorado State University
Chair(s): Emily Griffith, North Carolina State University
Erin Blankenship, University of Nebraska Lincoln Rebecca Doerge, Carnegie Mellon University Sandrine Dudoit, University of California Berkeley Montserrat Fuentes, University of Iowa Heather Smith, Cal Poly, San Luis Obispo
Engaging Minority and Underserved Populations in Health Science: Education and Training for Careers in Statistics and Data Science — Topic-Contributed Panel
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Learning and Data Science, Section on Statistics and Data Science Education
Organizer(s): Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
Chair(s): Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health Melanie Besculides , Icahn School of Medicine at Mount Sinai Veyom Bahl, Robin Hood Foundation Vivian Zhang, NYC Data Science Academy Doreen Thomann-Howe, New York City Department of Family Services
Teaching Undergraduates and High-School Students to Analyze Time Series Data — Topic-Contributed Papers
Section on Statistics and Data Science Education, Section on Statistics and the Environment, Section on Medical Devices and Diagnostics, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Juana Sanchez, UCLA
Chair(s): Jeff Witmer, Oberlin College and Conservatory
Building and Implementing an Effective Quantitative Sciences Internship Program for Undergraduate Students — Invited Panel
Section on Statistical Consulting, International Indian Statistical Association, Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kay See Tan, Memorial Sloan Kettering Cancer Center
Kay See Tan, Memorial Sloan Kettering Cancer Center Justine Herrera, Columbia University Nathan Tintle, Dordt University Heather Mattie, Harvard University Alisa Stephens-Shields, University of Pennsylvania
Matthew J Hayat, Georgia State University Melinda Higgins, Emory University Myoungjin Kim, Illinois State University Wei Pan, Duke University Yelena Perkhounkova, The University of Iowa
