From 26 to 28 April, as part of the course “Applied Statistics for Mountain Agri-Environmental Analyses” (Professor Filippo Geuna, University of Milan – DISAA) of the Master’s Degree MOUNTAINSIDE, The UNIMONT Campus of the University of Milan hosted the Visiting Professor Bernat Claramunt, Researcher at CREAF – Center for Ecological Research and Forestry Applications, to discuss the ecological research applied to mountain territories.
The Visiting Professor is an initiative that allows teachers from foreign universities to carry out seminars or lectures in Italian universities and that contributes to the development of a course of study with an international and multidisciplinary orientation.
The cycle of lectures of Visiting Professor Bernat Claramut allowed students of the Master’s Degree Course “Valorization And Sustainable Development Of Mountain Areas” to learn new methodologies and to know the necessary tools for data collection in the environment. The students were guided in the different phases of the applied research process, from the definition of the state of the art to the formulation of hypotheses, up to the practical collection of data with different measuring instruments during the field trip in the woods of Edolo.
Bernat Claramunt, associate professor at the Autonomous University of Barcelona, a researcher at CREAF, and Coordinator of NEMOR, Network for European Mountain Research, of which the UNIMONT Pole is a founding member, said: “Mountains are an excellent field of research because they present many challenges, but at the same time they offer many opportunities for the future of our society. For NEMOR researchers it is essential to be able to confront students to explain how to correctly approach research in mountain areas and for mountain areas.”
The students of the MOUNTAINSIDE Course were enthusiastic about these lessons and said: “It was an interesting and stimulating experience that allowed us to face the difficulties of designing a research and to know a new methodological approach to which we were not used. We learned to understand which methods to use in different contexts and which data to collect according to the objective of our research.”
