Peter Scicluna
University of Hertfordshire, United Kingdom
As instruments become more powerful, we are able to gather larger and more complex datasets.
This has recently facilitated an assortment of surveys of evolved stars with various objectives. I
will describing the Nearby Evolved Stars Survey, which is studying a sample of 850 evolved stars
within 3 kpc of the Sun, with the ultimate goal of measuring dust and gas return to the Solar
Neighbourhood. I will present our recent progress towards our objectives in terms of observations
and data analysis. If time permits, I will highlight some ongoing challenges and the prospects
for solving them with machine learning.