The 2017 Itô Prize is won by Adrián González Casanova, Noemi Kurt, Anton Wakolbinger and Linglong Yuan, for their paper entitled “An individual-based model for the Lenski experiment, and the deceleration of the relative fitness” published in Stochastic Processes and Their Applications. The Itô Prize honors the memory and celebrates the legacy of Professor Kiyosi Itô and his vast and seminal contributions to probability theory. It is awarded every two years and recognizes significant contributions to the advancement of the theory or applications of stochastic processes over the corresponding period. The award will be presented at the 39th Conference on Stochastic Processes and their Applications (SPA), July 24–28, 2017, in Moscow, Russia, where the authors will give a plenary talk ( The paper is freely available to access until the end of 2017 via ScienceDirect: