This chapter discusses a number of key issues in tourism crisis and disaster management including crisis and disaster models and frameworks, preparedness and resilience. The chapter also reviews the current state of research into tourism crisis and disaster events noting the gaps identified in recent review articles and calls for a greater effort by scholars to bridge the current gap between academic research and implementation by tourism industry stakeholders. The chapter also briefly comments on the roles of time and scale in crisis and disaster research and the need to consider a future role for generative artificial intelligence (AI) and Large Language Models (LLM) such as ChatGPT. Finally, we consider the concept of the so called ‘next normal’ as a factor in crisis and disaster preparedness. The chapter does not provide a summary of chapters but does highlight the key themes of the chapters in table form.