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: Davide Bacciu <http://pages.di.unipi.it/bacciu/>, University of Pisa Xin Guo <https://xinguo.ieor.berkeley.edu/>, UC Berkeley Sebastian Jaimungal <https://sebastian.statistics.utoronto.ca/>, University of Toronto 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 <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 <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 <mailto:mldyn2022@gmail.com> The organisers, Fabrizio Lillo Giulia Livieri Stefano Marmi Piero Mazzarisi