Advances in Statistical Methodology for the Analysis of Wastewater Data (26w5507)

Organizers

Robert Delatolla (University of Ottawa)

Devan Becker (Wilfrid Laurier University)

Charmaine Dean (University of Waterloo)

Joan Hu (Simon Fraser University)

Erwin Nagelkerke (National Institute for Public Health and the Environment Netherlands (RIVM))

Description

The Banff International Research Station will host the "Advances in Statistical Methodology for the Analysis of Wastewater Data" workshop in Banff from November 15 - 20, 2026.


The upcoming workshop on the analysis of wastewater and environmental surveillance data aims to revolutionize how we handle and interpret wastewater data through advanced statistical methods. Participants will focus on newly developed statistical approaches and optimization of existing models, with a special emphasis on how to prioritize avenues of research that not only generate insightful academic results but are also feasible, impactful, and capable of addressing immediate public health needs. This thoughtful approach will help bridge scientific discovery and real-world implementation. The workshop will also work toward establishing a standardized framework to evaluate and enhance the performance of wastewater models. By fostering collaboration among statisticians, engineers, biologists, and public health experts, the event seeks to generate innovative, practical solutions. Additionally, it will provide public health decision-makers with reliable tools for interpreting wastewater data, helping them make informed decisions during health crises.


The Banff International Research Station
for Mathematical Innovation and Discovery (BIRS) is a collaborative
Canada-US-Mexico venture that provides an environment for creative
interaction as well as the exchange of ideas, knowledge, and methods
within the Mathematical Sciences, with related disciplines and with
industry. The research station is located at The Banff Centre in
Alberta and is supported by Canada's Natural Science and Engineering
Research Council (NSERC), the U.S. National Science Foundation (NSF),
and Alberta's Advanced Education and Technology.