Starts 31 Aug 2020
Ends 11 Sep 2020
Central European Time
The CODATA-RDA Research Data Science Summer School | (smr 3468)
Online -
Online
This year there will be no face-to-face CODATA/RDA Summer School in Trieste in 2020.
While this cancellation is disappointing, it allows a new opportunity - a virtual CODATA/RDA School of Research Data Science alumni event.
We invite all of our past students to join us online for a review, update and training strategies for each of the curriculum sections that were covered during our previous schools. Our goal is to make our alumni more confident in sharing their learning and to train others.
Students will be provided with a preparatory reading list in the topics to remind themselves of what they had previously learnt. Over the period of two weeks, students will be able to attend a virtual session (1-2 hours a day) on each of the individual topics taught with a short review, new topics or updates since their last school, and strategies for instructing in this curriculum area (preparation, key teaching points, how to arrange the hands-on sessions, etc.).
These sessions will provide the alumni the chance to reacquaint themselves with the materials and with their colleagues.
Topics:
While this cancellation is disappointing, it allows a new opportunity - a virtual CODATA/RDA School of Research Data Science alumni event.
We invite all of our past students to join us online for a review, update and training strategies for each of the curriculum sections that were covered during our previous schools. Our goal is to make our alumni more confident in sharing their learning and to train others.
Students will be provided with a preparatory reading list in the topics to remind themselves of what they had previously learnt. Over the period of two weeks, students will be able to attend a virtual session (1-2 hours a day) on each of the individual topics taught with a short review, new topics or updates since their last school, and strategies for instructing in this curriculum area (preparation, key teaching points, how to arrange the hands-on sessions, etc.).
These sessions will provide the alumni the chance to reacquaint themselves with the materials and with their colleagues.
Topics:
- Research Data management
- Open and Responsible Research
- Author Carpentry
- Visualisation
- Machine Learning
- Artificial Neural Networks
- Computational Infrastructures
The forum:
If you have any question(s) while working through the preparatory material, feel free to post your question(s) on the forum. You will need to register first.
If you have any question(s) while working through the preparatory material, feel free to post your question(s) on the forum. You will need to register first.
Organizers
Marcela Alfaro Cordoba (Universidad de Costa Rica, Costa Rica), Louise Bezuidenhout (University of Oxford, UK), Raphael Cobe (UNESP, Brazil), Sara El Jadid (Ibn Tofail University, Morocco), Ivan Girotto (ICTP), Simon Hodson (CODATA, France), Ekpe Okorafor (Big Data Academy, Accenture, USA & AUST), Rob Quick (Indiana University, USA), Bianca Peterson (North-West University, South Africa), Hugh Shanahan (Royal Holloway University, UK), Ulrich Singe (ICTP), Local Organiser: Clement Onime
