We are currently living in very exciting times for stellar physics studies thanks to the large number of space missions that provided or are still providing a wealth of high-quality observations such as the NASA Kepler/K2 and TESS missions, or the ESA/Gaia mission. Combining photometric data with astrometry and spectroscopy, we can have access to different aspects and parameters of a star: its fundamental parameters, its internal structure and dynamics, binarity, its proper motion, or its chemical composition. In particular, in the last decade, asteroseismology proved to be a very powerful tool that is unique in terms of the precision to determine the mass, radius and age of stars as well as probing stellar interiors. This success of asteroseismolgy put it in the spotlight for the next ESA M3 mission PLATO dedicated to the search of exoplanets while characterizing the stars through their oscillations. 

It is in this context that we are organizing this workshop as many of the Iberian institutes are involved in the preparation of the PLATO mission for which the stellar analysis system needs to be delivered early next year to be fully tested before the launch of the satellite. 

Moreover the SONG ground-based network, initiated more than 8 years ago with the protype instrument at the Teide Observatory and now expanded to other three nodes, is also providing different observations with Doppler velocity measurements complementing the photometric observations from space. This workshop will be a good opportunity to enhance collaboration and the use of the SONG facility in the Iberian community. 

Finally, we are also all involved in the new proposal for the ESA M7 mission HAYDN to make asteroseismic analysis of old globular clusters. The mission has been selected for Phase 0 and awaits selection for Phase A during the fall. The Iberian community is also involved in this proposal. 

Given the expertise of the different participants and institutes, the workshop will cover a broad range of topics from  low- to high-mass stars, data analysis, modeling, binarity.