Starts 11 Jul 2022
Ends 22 Jul 2022
Central European Time
The CODATA-RDA Research Data Science Summer School | (smr 3685)
ICTP
Giambiagi Lecture Hall (AGH)
Adriatico Guest House
Riva Massimiliano e Carlotta, Grignano
I - 34151 Trieste (Italy)
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.
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.
Individuals with a background in Extreme sources of data and IoT/Big-Data Analytics can apply to one of the Advanced workshops that run immediately after the school.
Individuals with a background in Extreme sources of data and IoT/Big-Data Analytics can apply to one of the Advanced workshops that run immediately after the school.
The deadline on 5 June is for applications in presence needing financial support and/or visa and the deadline on 24 June for applications to attend online.
**DEADLINE: 24/06/2022**
Organizers
Marcela Alfaro-Cordoba (University of California, USA), Louise Bezuidenhout (DANS, Netherlands), Steve Diggs (Scripps Institution of Oceanography / UCSD, USA), Sara El Jadid (Queens University, UK), Simon Hodson (CODATA, France), Raphael Mendes De Oliveira Cobe (UNESP, Brazil), Ekpe Okorafor (Big Data Academy Accenture Digital - Analytics, USA), Bianca Peterson (North-West University, South Africa), Robert Quick (Indiana University, USA), Hugh Shanahan (Royal Holloway University, UK), Hannah Margaret Short (CERN, Switzerland), Shanmugasundaram Venkataraman (OpenAIRE, UK), Local Organiser: Ehimika Ohireime Clement Onime (ICTP)
