2022 BIRS 5-day workshop: Emerging Challenges for Statistics and Data Sciences: Complex Data with Missingness, Measurement Errors, and High Dimensionality (22w5010)
We are excited to announce a BIRS 5-day workshop— “Emerging Challenges for Statistics and Data Sciences: Complex Data with Missingness, Measurement Errors, and High Dimensionality” — taking place May 22–27, 2022, at the UBC Okanagan, Canada, and Zoom in a hybrid manner.
Statistics and newly emerging data science are central pillars of quantitative research in social and biomedical sciences. The era of big data has revolutionized statistics with massive, heterogeneous, and complex-featured data sources. It is critical and timely to bring statisticians, computer scientists, and practitioners together to share current research advances in handling novel data analytical challenges including missingness, measurement errors, and high dimensionality. This workshop will help bring researchers together to take a significant step forward in using big data to answer important scientific questions.
The organizers have finalized the program schedule for the workshop.
Thank you for your participation in what promises to be the most successful workshop!
On behalf of the workshop organizers
Shu Yang (North Carolina State University, firstname.lastname@example.org)
Peng Ding (University of California, Berkeley, email@example.com )
David Haziza (University of Ottawa, firstname.lastname@example.org)
Chenyin Gao (North Carolina State University, email@example.com)
Grace Yi (Western University, firstname.lastname@example.org)
From left to right: Chad He (Fred Hutchinson Cancer Center), Kosuke Morikawa (Osaka University), Angela Chen (SFU), David Haziza (University of Ottawa), Joan Hu (SFU), Jay Breidt (NORC), Trevor Thomson (SFU), Shu Yang (NCSU), Haoxuan Zhou (SFU), Jeff Buzas (University of Vermont), Chenyin Gao (NCSU), Hongbin Zhang (City University of New York), Ken Peng (SFU)