The International Environmetrics Society (TIES) has established three working groups with the aim to advance statistical and computational methods motivated by real-world driven applications in environmental research.
In July 2021, the TIES membership committee chaired by Monica Pirani launched a call for the participation in working groups, with the aim of fostering creative collaboration and networking. Three collaborative TIES working groups are now working towards advancing statistical and computational methods motivated by real-world driven applications in environmental research and focusing on:
- Computational methods for high dimensional spatial data (Lead: Matt Wheeler, National Institute of Environmental Health Science),
- Functional analysis for correlated time-series (Lead: Marta Blangiardo, Imperial College London),
- AI methods in Environmental Science (Lead: Chris Wikle, University of Missouri).
Through a collaborative effort, the TIES working groups are now pushing toward the production of original research papers coupled with reproducible and open-source code sharing. Stay tuned for updates!