Dear colleagues, We are pleased to announce the *2nd Edition of the** School* in *"Machine Learning of Dynamic Processes and Time Series Analysis” * that will be held at Scuola Normale Superiore in Pisa (Italy) on *November 9-10, 2022*. The School aims to present recent mathematical and data-driven approaches to Machine Learning for time series. In particular, this year, the School will focus on the mathematical and computational aspects of *Signatures, Reinforcement Learning, GAN, and Continual Learning*. The School includes four mini-courses held by as many keynote speakers and a limited number of contributed talks. *Keynote speakers*: 1. *Davide Bacciu <http://pages.di.unipi.it/bacciu/>*, University of Pisa 2. *Xin Guo <https://xinguo.ieor.berkeley.edu/>*, UC Berkeley 3. *Sebastian Jaimungal <https://sebastian.statistics.utoronto.ca/>*, University of Toronto 4. *Terry Lyons <https://www.maths.ox.ac.uk/people/terry.lyons>*, Oxford Man Institute of Quantitative Finance Detailed information on the School and instructions for registration can be found at: https://mldyn2022.wordpress.com (The number of participants in presence is limited to *40* - preference will be given to PhD students and young researchers) The call for abstract/paper submission to be selected for a contributed talk is now open at the following easy-chair link: https://easychair.org/conferences/?conf=mldyn2022 Both registration and submission deadlines are *September 15, 2022.* To contact the Organizer Committee, please send an email to: mldyn2022@gmail.com The organisers, Fabrizio Lillo Giulia Livieri Stefano Marmi Piero Mazzarisi