Biodiversity Data Science

The course aims at providing basic knowledge to organize, manage, and use biodiversity databases, both at the management and research level. Furthermore, it aims at providing knowledge to support students in the drafting of research projects and proposals. Learning and understanding – knowledge of main database structures, and understanding of the logic beneath their functioning- knowledge of the different types of data that exist in the field of biodiversity – understanding of the functioning of niche models – knowledge of the methodological basis for the generation of niche models – knowledge of the main tools for the production of interactive digital identification keys, and understanding of their logic – understanding on how to develop a research project in the field of biodiversity informatics, and how to turn it into a project proposal. At the end of the course, students will be able to organize biodiversity data in databases and aggregate them in federated and/or interoperable systems. They will also be able to use data in different lines of research, from ecological niche modelling to taxonomy, and therefore will be able to interact with different research groups in multidisciplinary approaches. They will also be able to draw up solid and sound project proposals, which can be spent in research, and in competitive calls for funding.

Study Path: Department of Life Science. Environmental Science and Technology. Global change ecology and sustainability

Course Code: 930SV

Lecturer: Martellos Stefano

ECTS: 6

Basic Course (BC): knowledge in area of expertise

Maximum number of T4EU students: 10

Duration: 24 Sep 2024 – 18 Dec 2024

Time: Tuesday 12 pm – 2 pm and Wednesday 1 pm – 3 pm (CET)