An ICTP Hybrid Meeting. You can submit your application for participation in presence or online.

This activity focuses on building a range of data-related skills that are vital for addressing trans-disciplinary challenges in contemporary research work.

The Summer School builds competence in data analysis and security for participants from all disciplines and/ or backgrounds from sciences to humanities. Topics to be covered include principles and practice of research data management, authorship in the 21st century, data curation, data security, Open Science, visualization, machine learning and artificial neural networks.

The activity includes practical hands-on sessions on techniques and applications for large-scale data handling, analysis, visualization and modeling on a variety of compute infrastructure including high performance compute platforms/systems.

An associated activity focusing on advanced aspects of Data Science will run immediately after this event and requires a separate application.
Topics:

• Introduction to the Unix shell
• Research Data Management
• Open and Responsible Research
• Author Carpentry
• Information Security
• Data Visualisation
• Machine Learning
• Artificial Neural Networks
• Computational Infrastructures

Grants: A limited number of grants are available to support the attendance of selected participants from developing countries. There is no registration fee.

In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors.