Section on Environmental Sciences (EnviBayes)
Environmental sciences address a broad variety of problems requiring an interdisciplinary approach. Such problems include ecosystem changes, extreme events, earth processes, pollution, effects of global climate change. These issues are characterized by great process complexity with associated large datasets, typically in space and time, resulting in high dimensionality for models.
Multilevel modelling facilitates the understanding of complex; environmental phenomena; in particular, hierarchical Bayesian models constitute an efficient tool to exploit diverse sources of information, to accomodate influences that are unknown, and to draw inference on large numbers of latent variables and parameters that describe complex relationships. Furthermore, such analyses offer the possibility of providing a consequential societal impact in terms of environment regulation and public policy. Examples include assessment of the effects of climate change, interpolating and predicting exposure to environmental contaminants, and mitigation of damages and the risk reduction using probabilistic forecast of the natural catastrophes.
For this we propose an ISBA section on Environmental Sciences. This section will:
- facilitate the exchanges between Bayesian statisticians operating in different environmental sciences
- enable a connection point for the field experts who recognize the potential of Bayesian approach but are not still skilled in this discipline.
The Section will:
- promote research in Bayesian methods in environmental sciences, by organising conferences, workshops, and sessions in other meetings;
- promote education in Bayesian methods in environmental sciences by developing shortcourses for students and practitioners; and
- promote interactions among academic and environmental and public health organizations.
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The EnviBayes Zoom meeting held monthly by the EnviBayes section will resume this month with a panel discussion on environmental statistics careers. The panel will feature the following environmental statisticians: – Doug Nychka, Professor at Colorado School of Mines – Lyndsay Shand, Research and Development Statistician at Sandia National Laboratory – Mevin Hooten, Professor at […]
February 4, 2022
The EnviBayes section is pleased to announce its first EnviBayes student paper competition. Papers considered for this competition should present the development of new Bayesian methodology to address problems in environmental sciences and/or the application of existing Bayesian statistical methods for the analysis of environmental data. Applicants must be the first author of the paper, […]
November 8, 2021
EnviBayes December Zoom meeting: a discussion on statistics & climate research with Mark Risser – December 7 at 11AM US Eastern
The EnviBayes section has recently launched a series of monthly Zoom meetings. The December meeting will be held December 7, 2021 at 11AM US Eastern (8AM US Pacific, 5PM Central European time) and it will feature a discussion with Mark Risser, Ph.D, Research Scientist at Lawrence Berkeley National Laboratory. In addition to illustrating some examples […]
November 29, 2021
The EnviBayes section has recently launched a series of monthly Zoom meetings. The November meeting will be held November 18, 2021 at 11AM US Eastern (8AM US Pacific, 5PM Central European time) and it will feature a 2-hour NIMBLE tutorial with Chris Paciorek from UC Berkeley. The 2-hour workshop is open to all ISBA members. […]
October 25, 2021
The section EnviBayes is starting a new series of monthly Zoom meetings. The meetings will be devoted to research talks, tutorials, presentation of available data sources and more. Our first meeting will take place October 22 at 3PM US Eastern time (12PM US Pacific; 9PM US British Standard time and Central European time; 6AM Australian […]
October 12, 2021
Lawrence Berkeley National Laboratory
Berkeley, California, USA.
April 28, 2019
March 31 – April 2, 2016
Columbus, OH USA
May 30, 2017
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