Uma iniciativa com o objetivo de aproximar a ciência dos jovens de todas as idades, com desafios, palestras e muita diversão, num formato inteiramente online!

Encontro Scientia, por Nasrin Seyedi (Assistant professor - Forestry Department of Urmia University | External collaborator in ESFE-cE3c).

Conferência no âmbito das comemorações do Dia da Ecologia.

This course offers an overview of the different ways to measure biodiversity, and provides tips for the stratification of primary biodiversity data and the construction of variables that describe its various facets. It also includes an in-depth review of the different types of data used to measure biodiversity and their problems and limitations.

The course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems. Basic knowledge will be provided through theoretical and practical lessons on how to select and use the most suitable metrics based on the analysis of multiple compartments of the ecosystems.

At the end of this course, participants will be able to predict the three-dimensional structure of nucleic acid and proteins from their sequence and use the acquired knowledge to improve or create new methodologies in molecular biology research and diagnostics.

This course aims to walk through the grounds of modern botany studies, covering subjects that have been excluded from most academic curricula.

This is a mostly practical course offering an overview on different community ecology and macroecological methods and software. These will include all steps of a research project, from the optimal sampling of communities to process inference from large-scale patterns of taxon, phylogenetic and functional diversity.

The course provides essential skills and knowledge that enable the participants to develop climate change adaptation strategies.

The objective of this course is to provide participants with basic knowledge on a) the fundamental aspects of experimental design and b) workflows, platforms and tools to increase reproducibility at all scientific levels.