The absence of tourism activities in the past year due to the Covid-19 have increased public awareness of the importance of tourism as an industry and the social and environmental consequences when tourist arrivals change. However, tourism is a difficult human-environment phenomenon to study in the lab. AI has the potential to provide insights on the effects of decision-making on some of the challenges affecting the long-term sustainability of the sector such as Covid-19, climate change, and disaster response.
This presentation will highlight some of the main challenges and the data science gaps tourism researchers face. During this session, we will discuss some of the opportunities and steps needed for AI and tourism collaborations.
Please register here. We will send you a link to the Zoom-event.
Jilian Student, Post Doctoral Researcher, Environmental Policy Group, Wageningen University, and Research, Managing Editor, Journal of Integrative Environmental Sciences.