The call for applications is open. Please click on 'Apply here' to submit your application.
An ICTP Meeting in presence
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 with a focus on Data Policy, Urban Data and Disaster Risk Reduction will run immediately after this event and requires a separate application.
Call for Contributed Abstracts: All applicants are requested to submit an abstract for a poster presentation. Abstract templates are available below for download.
Individuals with a background in Extreme sources of data, IoT/Big-Data Analytics and Compute Infrastructure can apply to one of the Advanced workshops that run immediately after the school.
M. ALFARO-CORDOBA, University of California, Santa Cruz, USA
L. M. BEZUIDENHOUT, DANS, Netherlands
R. CÓBE, UNESP, Brazil
S. EL JADID, Queens University, Belfast, USA
R. QUICK, Indiana University, USA
H. SHANAHAN, Royal Holloway, University of London, UK
S. VENKATARAMAN, OpenAIRE, UK
Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
The CODATA-RDA School for Research Data Science | (smr 3861)
Go to day