|16th school of the Spanish Virtual Observatory
The Spanish Virtual Observatory (SVO) is organising a VO school at the Instituto de Astrofísica de Andalucía. The school is partly supported by the ESCAPE project and by the IAA-CSIC Severo Ochoa Excellence programme. The Virtual Observatory (VO) is opening new ways of exploiting the huge amount of data provided by the ever-growing number of ground-based and space facilities, as well as by computer simulations. The goal of the school is twofold: Expose participants to the variety of VO tools and services available today so that they can use them efficiently for their own research and gather requirements and feedback from participants. To achieve these goals, VO experts will lecture and tutor the participants on the usage of VO tools and services. Real life examples of scientific applications will be given. A large fraction of the time will be dedicated to hands-on exercises, which will allow participants to become fully familiar with the VO capabilities on their own laptops.
Date: March, 9th - 11th 2020
|III Course on Scientific Dissemination Techniques
The third course on scientific dissemination techniques, organized by IAA-CSIC, aims to train science professionals to learn how to communicate their results to a general public. The course will focus on dissemination, communication and dissemination tools. Students will receive techniques to "face" the media, to manage social networks, or to concretize as much as possible an idea in a written text. It will take place at the IAA-CSIC on November 20th-21th.
Date: November, 20th - 21st 2019
|1st IAA-CSIC Severo Ochoa School on Statistics, Data Mining and Machine Learning
The 1st IAA-CSIC Severo Ochoa School on Statistics, Data Mining and Machine Learning will be held at the Instituto de Astrofísica de Andalucía, Granada, from Monday 4th to Friday 8th of November. It is an introductory school oriented at students and researchers of all levels. It is the first of its kind and will be followed by a School on Advanced Data Mining, Machine Learning and Artificial Intelligence in Fall 2020. The cycle of introductory and advanced school will repeat in 2021 and 2022.
Date: November, 4th - 8th 2019