Accelerating the Search for Dark Matter with Machine Learning

In this workshop we aim to explore, and to encourage, the utilization of state-of-the-art machine learning algorithms for research in dark matter physics and astronomy. Our objective is to accelerate the identification of Dark Matter with a multidisciplinary approach: The researchers coming to this workshop bring together expertise in experimental and theoretical particle physics, astrophysics, astronomy, statistics and Machine Learning. The workshop is planned to be a Kickoff meeting to generate a new open research community. We plan a whitepaper, follow-up workshops, a webpage and a mailing list for the DM-ML community.