The exploitation of the full potential of massive amounts of excellent data by ongoing, upcoming and planned astronomical surveys and space missions require innovative developments in information technology.
EDUCADO (Exploring the Deep Universe by Computational Analysis of Data from Observations) is an HORIZON-MSCA Doctoral Network at the intersection of astronomy and computer science, aimed at training 11 doctoral candidates with interdisciplinary and intersectoral data science expertise. The first training school is a week-long series of lectures, covering the topic of Galaxy formation, observing techniques, astro-informatics, and Milky Way structures. The astronomical lectures will be complemented by sessions on gender and diversity awareness, ethics and green computing. The school is open also to a limited number of students from outside the network.
Modules and Instructors:
Galaxy Formation and Evolution
-
Antonino Marasco
- Anelise Audibert
Observing techniques and surveys
-
Angela Bragaglia
-
Johan Knapen
-
Ignacio Trujillo Cabrera
Structure of our Milky Way and external Galaxies
-
Teresa Antoja
-
Laura Magrini
-
Donatella Romano
Astro-Informatics Techniques
-
Angela Raj
-
Marco Canducci
Gender and Diversity Awareness
-
Sara Lucatello
Green Computing
-
Oleksiy Kozlov
Ethics
-
Johan Knapen
