Starts 12 Aug 2024
Ends 23 Aug 2024
Central European Time
The CODATA-RDA School for Research Data Science | (smr 3962)
ICTP
Giambiagi 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.
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.
Topics:
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.
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
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 IoT/Big-Data Analytics and Compute Infrastructure can apply to one of the Advanced Workshops that run immediately after the school.
Speakers:
M. ALFARO-CORDOBA, University of California, Santa Cruz, USA
I. ANAOBI, Anaconda Inc, UK
L. M. BEZUIDENHOUT, DANS, Netherlands
R. CÓBE, UNESP, Brazil
S. DIGGS, Scripps Institution of Oceanography/UCSD, USA
D. DONALDSON, Indiana University, USA
S. EL JADID, Queens University, Belfast, USA
A. NOBES, INASP, UK
E. OKORAFOR, Big Data Academy Accenture Digital - Analytics, USA
B. PETERSON, Fathom Data, South Africa
R. QUICK, Indiana University, USA
H. SHANAHAN, Royal Holloway, University of London, UK
S. VENKATARAMAN, OpenAIRE, UK
B. WALKER, Research Data Alliance, 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.
Organizers
Marcela Alfaro-Córdoba (University of California, Santa Cruz), Louise Martha Bezuidenhout (Leiden University, Netherlands), Raphael Cóbe (UNESP, Brazil), Sara El Jadid (Queens University, Belfast), Simon Daniel Hodson (CODATA), Ekpe Apia OKORAFOR (Accenture / Nigerian British University, USA), Robert Quick (Indiana University), Hugh Shanahan (Royal Holloway, University of London), Shanmugasundaram Venkataraman (Independent, UK), Local Organiser: Ehimika Ohireime Clement Onime (ICTP)
