Our research can be broadly divided into two themes: 1) statistical methods development and 2) ecological and environmental change research. There is a strong connection between these two main themes in all work we do. Statistical methods provide tools to analyze ecological and environmental data and to support environmental management and decision-making. On the other hand, data analysis challenges arising from the environmental and ecological research, spark new ideas and research questions to statistics.
Due to our role in the interface between ecology and statistics, we are affiliated to two Departments of the University of Helsinki: the
Statistics is a mathematical science with focus on analysis and interpretation of data. It is the traditional data science that is nowadays more important than ever. Statistics research provides tools to analyze data and extract information from it. It plays a central role in almost all fields of modern societies; including the change making technologies such as machine learning and artificial intelligence. Statistical methods are also key tools in solving global environmental challenges related to climate and biodiversity change.
Our research in statistics focuses on hierarchical Bayesian modeling and decision analysis. Specific research areas include spatial and spatiotemporal statistics, state-space models, data integration methods, Bayesian optimization, optimal design of observational studies, and computational methods.
Ecology studies the processes underlying distribution and abundance of species, and their interactions with other species and the environment. Biodiversity denotes the variety and variability of life. Biodiversity is essential for the well being of human society. Understanding how biodiversity and ecosystem processes respond to environmental changes is mandatory to understand the subsequent consequences to ecosystem functions and services, such as food safety and human health.
Our research concentrates on ecological changes and their implications to ecosystem functions and services. Specific research lines include species distribution modelling, biodiversity ecosystem function (BEF) relationship, population assessments and fisheries management, as well as environmental management and risk assessment.