Meetings/Workshops on Probability and Statistics, Game Theory in Canada

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Operational research

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

As of September 28, 2020, 33 million Covid-19 cases have been reported worldwide. With one million deaths attributed to the deadly infection, the pandemic has not only killed a huge number, but also caused worldwide economic disruption. In the process, it has exposed our inadequate preparation and our inability to act promptly and decisively in response to a rapidly spreading novel virus. With an objective to prepare for the next pandemic, the focus of the proposed workshop will be on the scientific questions that emerged during the current Covid-19 crisis. The overall theme of the workshop can be broadly categorized into three intertwined topics: 1) a mechanistic approach to understanding the complex dynamics of novel viruses such as the SARS-CoV-2; 2) parameter inference and proper uncertainty quantification; and 3) design of optimal intervention and policy. The workshop will bring together different communities and foster new interdisciplinary collaborations. Most importantly, the workshop aims to train a cohort of young and diverse group of researchers into responsible scientists who will be better prepared for the next pandemic.

International Society for Bayesian Analysis (ISBA)

This is the 16th edition of the world meeting of the International Society for Bayesian Analysis (ISBA). The purpose of the meeting is to bring together the diverse international community of investigators in statistics who develop and use Bayesian methods to share recent findings and to present new and challenging problems. The conference will include foundational lectures presented by Subhashis Ghosal, Steffen Lauritzen, Adrian Raftery, and Nancy Reid. In addition, keynote speakers include Francesca Dominici, Antonio Lijoi, David A. Stephens, and Richard Nickl. The Bruno de Finetti lecture will be delivered by Mike West and the Susie Bayarri lecture by Pierre Jacob. The meeting will further consist invited and contributed oral presentations and poster sessions.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

The Fields Institute

How can we obtain scientic benefits from statistical analysis of sensitive data, without compromising the privacy of the individuals who contribute their data? The past decade has seen rapid progress on this question due to the emergence of a mathematically rigorous privacy framework known as differential privacy. Informally, differential privacy provides a robust individual privacy guarantee, ensuring that no adversary, regardless of their capabilities, can learn much more about an individual user than they could have learned had that user's data never been collected.

Information Security and Information Privacy,    Social Networks and Social Aspects of Information Technology

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Graph Theory and Combinatorics

American Statistical Association