Preface: stochastic resetting—theory and applications.

This document is a preface to a collection of research articles on the topic of stochastic resetting. Stochastic resetting is a mathematical concept that involves restarting a random process at certain intervals. The articles in this collection explore various aspects of stochastic resetting, including its applications in different fields such as physics, biology, and climate modeling. The research covers a wide range of topics, including diffusion processes, search processes, quantum dynamics, optimization, population genetics, and record statistics. The articles provide theoretical results, empirical evidence, and mathematical models to understand the behavior of stochastic resetting in different contexts. [Extracted from the article]