|Open Science Droplets
There are tools that researchers can use in their daily work to make their research more flexible, efficient, collaborative and open. We will organize demonstration sessions to showcase how these tools can be incorporated into astronomical research. In each session we will show a real-life example on how to use one tool, without entering in the technical details of how it works. We follow the principle of "show, don't tell" to present a tasting of tools that you may want to consider using. The sessions are complemented with the documentation we are building with details on how to install and use these tools (see link below). Regular meetings will happen every two Mondays at 10:30 am in the room adjacent to the kitchen. We will be happy to stay afterwards for extended discussions and networking. We will get the ball rolling with Jupyter notebooks and will continue with other tools like git, conda, containers, pipelines and Zenodo. However, everybody is welcome to suggest or present a tool that they consider interesting as well. There are no technical requirements for the sessions, you just will need your coffee, not your laptop.
Date: February, 25th - June, 29th 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