Environmental sciences includes a broad range of scientific fields studying the environment and solutions to environmental challenges. Ecology studies the distribution and abundance of species, and their interactions with other species and the environment. Statistical inference and uncertainty estimation are essential for both fields to ensure that appropriate conclusions and decisions can be reached from experiments and observations.
The Environmental and Ecological Statistics group (EnvStat) comprises of people from various backgrounds (e.g., statistics, biology, geography). We work in the departments of Mathematics and Statistics, Biosciences and Environmental Sciences at the University of Helsinki. Our research interests span from the theoretical and computational statistics to applied ecology and environmental risk assessment and management.
Our methodological research topics include hierarchical Bayesian modelling and decision analysis, spatial and spatio-temporal statistics, Gaussian processes, Bayesian optimization, optimal design of observational studies, computational statistics and machine learning. Our ecological and environmental research includes, among others, species distribution modeling, population and fisheries management, uncertainty assessment and data fusion with environmental simulators and environmental management and risk assessment problems related to Arctic shipping and oil transportation (CEARCTIC).