Itineris Training Platform

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This course provides a comprehensive understanding of access management principles. Participants learn to navigate user applications, peer reviews, service provision, and feedback collection. Case studies and hands-on exercises ensure participants can apply their knowledge effectively, enriching their skillset and user experience outcomes

This intensive four-day course offers an interdisciplinary exploration of Artificial Intelligence (AI) and Machine Learning (ML) applications within environmental sciences. Participants will gain foundational knowledge of AI concepts, including supervised, unsupervised, and reinforcement learning, and understand how these technologies are transforming environmental research and practices

This course teaches data handling for ACTRIS and ICOS aerosol measurements for the in-situ data

This course aim is to give teach how to run standardized remote sensing observations of atmospheric aerosols

"Standards of Training, Certification, and Watchkeeping" are standards for basic training for seafarers. These courses are mandatory to embark and work on the RV Gaia Blu.

 Advanced Datalogger Programming Course is dedicated to graduates of the basic course, this program explores advanced techniques for complex data collection and management

This course provides notions about the mDIS system and trains the participants to parameterisation of drilling sample metadata and samples across three main themat-ic sectors: Litho-Bio Stratigraphy, Petrography, and Structural Geology

This course explores the full spectrum of scientific knowledge about Eddy covariance, from theoretical concepts to hands-on applications. The training course will allow participants to understand the functioning of an eddy covariance tower and analyze its data for monitoring, ad example the greenhouse gas emissions, acquiring the basics of scientific and technical theory

The FAIR Principles call for findable, accessible, interoperable, and reusable data for humans and for machines, but they don’t provide detailed instructions on how to achieve these goals. This course provides a rigorous understanding of the FAIR Principles and ideas on how to roadmap your FAIR implementation ambitions using the Three-Point-FAIRification Framework.

This training provides introduction to near-surface geophysics; presentation of the geophysical-airborne approach for near-surface, land surface monitoring and natural risk mitigation; description of the instrumentation; elements of data processing; field activities; demonstration of data analysis

The aim of the course is to supply the basic concepts of information science and technology necessary to understand and interact with modern computing architectures. The study of computing technology behind human interface will be supplemented with the theoretical models they refer to with a comprehensive coverage of hardware and software computing systems. Lab sessions and hands-on will further complete the training by providing practical knowledge in accessing, programming and deploy computational workflows in different scientific domains. The course is organized in modules.

This ship-based course trains marine researchers in practical and scientific skills for oceanographic work

This course equips you with the knowledge to manage and quality-control various marine data. Explore the EU Blue Data Infrastructures, their powerful tools, and services, all aligned with FAIR data principles

Open Science on Cloud using Jupyter Notebooks is a short course (24 hours) aiming to train scientific staff, such as RI data center staff, to learn technologies and practices for conducting research activities using Jupyter notebooks on Cloud. The course will be delivered using a project-based teaching method. The course will use LifeWatch Notebook-as-a-VRE (NaaVRE) for lab assignments and course projects

The training is about high altitude safety (tower climbing) and provides notions of safety and first aid in extreme environments (bleeding, hypothermia, anaphylactic reaction, altitude sickness)

This training course is specifically designed for researchers who wish to better understand the media world and acquire practical tools to effectively communicate their research to the public. While not aiming to turn researchers into professional journalists, the course will provide a solid grounding in the specifics of science journalism, helping to demystify the processes by which science is turned into news. During the course, we will explore basic skills related to the structure, language and style of different forms of science journalism. We will look at how to identify and pitch science news, a valuable skill also for researchers who want to raise awareness among the public, public information officers and funders of the importance of their work. We will discuss the main challenges and difficulties facing science journalism today, offering a privileged perspective on the contemporary media landscape

The course provides comprehensive training on podcast creation, from ideation to final publication. Participants will learn the fundamentals of audio storytelling, professional recording techniques, and post-production strategies, with a special focus on creating educational content. Through a practical approach that alternates between theory and exercises, each participant will develop their own podcast project, from writing to publication on dedicated platforms. The course also includes modules on digital promotion and video podcast creation to maximize the visibility of produced content

Information is currently loading. The course organization is managed by Paolo Sconocchia

"Standards of Training, Certification, and Watchkeeping" are standards for basic training for seafarers. These courses are mandatory to embark and work on the RV Gaia Blu.

The course provides technical notions on the VRE Virtual Research Environment and access to its resources through secure programmatic procedures. The course will very practically focus on the development of tools and algorithms that integrate different components of the infrastructure and can be executed standalone or integrated as FAIR compliant CCP methods or Jupyter notebooks. 

First and second level academic training in applied sciences typically stops at standard statistical techniques of data processing. In this course we intend to provide students with advanced notions of processing, with reference to two very current topics: on the one hand, the vast amount of data available (we are currently in the era of big data), and on the other hand, the spread of artificial intelligence techniques, which may find very novel applications in reconstructing 3D and 4D features of the ocean. Practical exercises will be offered to students along with theoretical considerations.

This course explores how human actions create pollutants to understand environmental issues and their impact on health

The technology of autonomous instruments has matured tremendously in the past few decades. Autonomous instruments are especially important in an environment as difficult to access as the ocean. For this reason, the course will be devoted to an overview of the main categories of autonomous instruments, so that students can realize the current possibilities currently offered in this field. Theoretical lectures will be coupled with data processing exercises.

This postgraduate course offers a concise yet comprehensive introduction to anthropogenic climate change and its impacts on the Earth system, with a particular focus on the physical and dynamical processes in the atmosphere and ocean. Starting from the fundamental principles of Earth’s radiation budget and geophysical fluid dynamics, the course builds a foundational understanding of the mechanisms driving climate variability and long-term change

This week-long course offers an intensive introduction to using Artificial Intelligence (AI) in environmental research. Participants will learn AI and machine learning fundamentals, including supervised and unsupervised methods and model building. The course emphasizes practical applications such as biodiversity monitoring, climate modeling, and remote sensing

This course teaches you how to manage research data throughout its life cycle, getting the most out of your scientific findings

The course provides to students the basic knowledge concerning the main geophysical methods used for near surface investigation and the physical principles with some examples of applications

This course equips Ph.D.  students with the skills to communicate and publish their Earth System Science research through presentations, papers, and practical exercises

The aim of the course is to supply the basic concepts of information science and technology necessary to understand and interact with modern computing architectures. The study of computing technology behind human interface will be supplemented with the theoretical models they refer to with a comprehensive coverage of hardware and software computing systems. Lab sessions and hands-on will further complete the training by providing practical knowledge in accessing, programming and deploy computational workflows in different scientific domains. The course is organized in modules.

A large number of in situ and satellite oceanographic observations as well as ocean circulation model results are available nowadays. It is very important for future researchers to be able to navigate their way through this large supply, and the purpose of this course is to provide students with a detailed description of the available data. After an initial overview, portals and products specific to the needs of attendees will be explored in depth. It is expected that the course will enable students to orient themselves independently

The course provides to Ph.D students notions about safety in laboratories (use of instruments, apparatus and/or chemical, physical or biological agents) and in field environments where activities are carried out outside

The course provides to Ph.D students specific notions to create digital work environments and it provides notions on the Digital Objects, the FAIR principles for research products and the scientific data repositories, the VRE usability the practical sessions on data analyses, the Cloud Storage principles and it will address possible necessities of the ITINERIS VREs