Invited Lecture

Semantics for Data Science

Transmissão através de Videoconferência

Speaker: Ernesto Jimenez-Ruiz (City, University of London).

Tabular data in the form of CSV files is the common input format in a data analytics pipeline. However, a lack of understanding of the semantic structure and meaning of the content may hinder the data analytics process.  Thus, gaining this semantic understanding will be very valuable for data integration, data cleaning, data mining, machine learning and knowledge discovery tasks. At the same time, organizing and integrating disparate resources into a knowledge graph will enhance the access to data and enable the application of machine learning techniques over graph data (e.g., knowledge graph embedding approaches).

Bio: Ernesto Jimenez Ruiz is a Lecturer in Artificial Intelligence at City, University of London affiliated to the Research Centers for Machine Learning and Artificial Intelligence. He is also a researcher in the Centre for Scalable Data Access (SIRIUS) at the University of Oslo, Norway and a visiting researcher at The Alan Turing Institute (UK). He previously held a Senior Research Associate position at The Alan Turing Institute and a Research Assistant position at the University of Oxford. His home university (Universitat Jaume I, Castellon, Spain) awarded a “Premio extraordinario de doctorado” (roughly translated as a Extraordinary Doctoral Award) to his doctoral thesis (Engineering category 2010-2011). His research has covered several areas, including bio-medical information processing and integration, ontology reuse, ontology versioning and evolution, ontology alignment. His current research interests focus on the application of Semantic Technology to Data Science workflows and the combination of Knowledge Representation and Machine Learning techniques.

Transmissão em direto via Zoom (password: 666314).


Conversa com Galopim de Carvalho.

Conversa com Galopim de Carvalho.

The course SoilEco aims at introducing attendants to an updated state of the art of diversity of the soil biota and the functional roles played by soil organisms in key ecological processes.

In this course, we promote a multidisciplinary approach presenting the most recent findings on the topic and challenging the traditional way of considering symbiotic associations as exceptions and not as the rule.

The goal of this course is to provide to the participants with current and practical knowledge on urban ecology, including ecological and social aspects.

This course aims to explore ways of communicating science to non-specialized audiences, such as policy makers, industry, general public (including students and teachers), through their engagement and participation in citizen science activities.

This course introduces the field of island biogeography, a discipline that has long influenced other research areas such as macroecology, community ecology, evolution and conservation biology.

Scientists, as the main actors in the production of scientific knowledge, have the responsibility of having an active voice in communicating this knowledge – and that can be achieved for example by a conscious use of the communication tools at their disposal and a better articulation with journalists, among other means.

This course aims at providing students with basic knowledge of R programming, allowing them to manipulate and visualize data with R.

This course aims at providing students with statistical knowledge and tools to manipulate, analyze and visualize biological data with R. It also includes an introduction to modeling, simulations and Bayesian statistics.

Under the general framework of Global Change Ecology, the goal of this course is to provide the participants with the most recent and practical knowledge on the use of 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.

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.

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

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.

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.

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.