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2020 CODATA-RDA School of Research Data Science – Virtual

This year the CODATA/RDA Summer School will be going online!  There will be no face-to-face School at Trieste in 2020. 

Instead, we are delighted to offer a virtual CODATA/RDA School of Research Data Science alumni event.  This event is specially designed for those who have attended a previous edition of the School.  However, application is also open to other interested participants who can demonstrate an equivalent level of knowledge of the CODATA/RDA School of Research Data Science curriculum topics (listed here). 

We invite all of our past students to join us online to review, update and refresh training strategies for each of the curriculum sections that were covered during our previous Schools. Our goal is to help our alumni become more confident in sharing their learning and to train others.  

Apply to participate before the deadline of 24 August: http://indico.ictp.it/event/9113/overview 

Students will be provided beforehand with preparatory reading to remind themselves of the topics they have previously learnt. Over a period of two weeks (31 Aug – 11 Sep 2020), students will attend regular virtual sessions (1-2 hours per day) on each of the individual topics previously taught. This session will include a short review of the topic, any updates on the topic that have been recently introduced, and strategies for instructing in this curriculum area (preparation, key teaching points, how to arrange the hands-on sessions, etc.)  

Students are expected to come prepared and be familiar with topic areas prior to the virtual sessions.  We will not be re-teaching the material – this is all about reviewing your knowledge and re-inspiring your own teaching.  These sessions will provide participants with the chance to build on their existing knowledge and move forward with refreshed teaching techniques and recharged energy.  We look forward to seeing you (again)!

For further information on the programme, speakers and to apply to participate, please see http://indico.ictp.it/event/9113/overview