Starts 28 Jul 2025
Ends 8 Aug 2025
Central European Time
The CODATA-RDA School for Research Data Science | (smr 4092)
ICTP
Kastler Lecture Hall (AGH)
Adriatico Guest House
Riva Massimiliano e Carlotta, Grignano
I - 34151 Trieste (Italy)
An ICTP Meeting
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.
he activity includes practical hands-on sessions on techniques and applications for large-scale data handling, analysis, visualization and modeling on a variety of compute infrastructures including high performance compute platforms/systems.
Topics
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.
he activity includes practical hands-on sessions on techniques and applications for large-scale data handling, analysis, visualization and modeling on a variety of compute infrastructures including high performance compute platforms/systems.
Topics
- Introduction to the Unix shell
- Version Control with Git
- Research Data Management
- Open and Responsible Research
- Author Carpentry
- Data Wrangling in R/Python
- Data Visualisation
- Information Security
- Machine Learning
- Artificial Neural Networks
- Computational Infrastructures
Speakers
M. Alfaro-Cordoba, University of California, Santa Cruz, USA
L. M. Bezuidenhout, Leiden University, Netherlands
R. Cóbe, UNESP, Brazil
S. Diggs, Scripps Institution of Oceanography/UCSD, USA
D. Donaldson, Indiana University, USA
S. El Jadid, Queens University, Belfast, UK
S. Gandhi, IT:U, Linz, Austria
A. Nobes, INASP, UK
E. Okorafor, AI Academy Accenture, USA
B. Peterson, Fathom Data, South Africa
R. Quick, Indiana University, USA
H. Shanahan, Royal Holloway, University of London, UK
S. Venkataraman, DANS, Netherlands
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.
M. Alfaro-Cordoba, University of California, Santa Cruz, USA
L. M. Bezuidenhout, Leiden University, Netherlands
R. Cóbe, UNESP, Brazil
S. Diggs, Scripps Institution of Oceanography/UCSD, USA
D. Donaldson, Indiana University, USA
S. El Jadid, Queens University, Belfast, UK
S. Gandhi, IT:U, Linz, Austria
A. Nobes, INASP, UK
E. Okorafor, AI Academy Accenture, USA
B. Peterson, Fathom Data, South Africa
R. Quick, Indiana University, USA
H. Shanahan, Royal Holloway, University of London, UK
S. Venkataraman, DANS, Netherlands
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.
Organizers
Marcela Alfaro Cordoba (University of California, Santa Cruz, USA), Louise Bezuidenhout (Leiden University, Netherlands), Sara El Jadid (Queen’s University of Belfast, UK), Simon Daniel Hodson (CODATA, France), Ekpe Okorafor ( AI Academy Accenture, USA), Bianca Peterson (Fathom Data, South Africa), Robert Quick (Indiana University, USA), Hugh Shanahan (Royal Holloway, University of London, UK), Veerle van den Eynden (KU Leuven), Shanmugasundaram Venkataraman (DANS, Netherlands), Local Organiser: Ehimika Ohireime Clement Onime (ICTP)