Starts 9 Nov 2026
Ends 20 Nov 2026
Central European Time
CODATA-RDA Research Data Science Summer School and Advanced workshops | (smr 4320)
ICTP
Denardo Lecture Hall (AGH)
Adriatico Guest House
Riva Massimiliano e Carlotta, Grignano
I - 34151 Trieste (Italy)
The call for applications is open. Please click on 'Apply here' on the left, to submit your application.
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 for participants from all disciplines and/or backgrounds from sciences to humanities. Topics to be covered include principles and practice of research data management including AI assisted RDM, authorship in the 21st century, open and responsible science, machine learning and artificial neural networks followed by selected advanced topics of Urban Data & AI assisted Data Analysis.
This is a practical hands-on activity with sessions on techniques and applications for both python and AI based coding and use of local LLMs and AI tools for both Urban data and general AI assisted Data Analysis.
Topics
L. M. Bezuidenhout, Leiden University, Netherlands
R. Cóbe, UNESP, Brazil
M. De Luca, Institute for Research and Innovative Technologies (RIT), Area Science Park, Italy
S. Diggs, Scripps Institution of Oceanography/UCSD, USA
S. Gandhi, IT:U, Linz, Austria
E. Okorafor, AI Academy Accenture, USA
R. Quick, Indiana University, USA
H. Shanahan, Royal Holloway, University of London, UK
S. Venkataraman, DANS, Netherlands
Research abstracts: Applicants are encouraged to submit an abstract for a poster presentation.
Please use our templates below to format your abstract.
This activity focuses on building a range of data-related skills that are vital for addressing trans-disciplinary challenges in contemporary research work for participants from all disciplines and/or backgrounds from sciences to humanities. Topics to be covered include principles and practice of research data management including AI assisted RDM, authorship in the 21st century, open and responsible science, machine learning and artificial neural networks followed by selected advanced topics of Urban Data & AI assisted Data Analysis.
This is a practical hands-on activity with sessions on techniques and applications for both python and AI based coding and use of local LLMs and AI tools for both Urban data and general AI assisted Data Analysis.
Topics
- Unix environments and AI tools
- AI assisted RDM
- Python and AI Coding tools
- Open and Responsible Research
- Author Carpentry
- Computational Infrastructure
- Recommender systems
- Artificial Neural Networks
- Urban data
- AI assisted Data Analysis
L. M. Bezuidenhout, Leiden University, Netherlands
R. Cóbe, UNESP, Brazil
M. De Luca, Institute for Research and Innovative Technologies (RIT), Area Science Park, Italy
S. Diggs, Scripps Institution of Oceanography/UCSD, USA
S. Gandhi, IT:U, Linz, Austria
E. Okorafor, AI Academy Accenture, USA
R. Quick, Indiana University, USA
H. Shanahan, Royal Holloway, University of London, UK
S. Venkataraman, DANS, Netherlands
Research abstracts: Applicants are encouraged to submit an abstract for a poster presentation.
Please use our templates below to format your abstract.
Grants: Participants are expected to fund their complete travel costs.
A limited number of grants are available to support local attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
A limited number of grants are available to support local attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
Organizers
Hodson Simon Daniel (CODATA), Quick Robert Eugene (Indiana University), Shanahan Hugh (Royal Holloway University), De Luca Mariarita (Area Science Park), Di Gioia Serafina (ICTP/SISSA), Local Organiser: Ehimika Ohireime Clement Onime (ICTP)