CinTurs regularly organise and collaborate in the organisation of conferences, seminars and short courses.
Conferences, mostly of international scope, aim to promote and disseminate academic research. The main themes are defined within the scope of research areas, in articulation with the interests of undergraduate, masters and doctoral programs. The organization of international conferences is an essential tool of the internationalization strategy for the research unit and has helped to create and strengthen networks with other universities, research centers and researchers at national and international level.
Seminars, mostly with the participation of external guests, aim to analyze and discuss specific themes defined in articulation between the objectives of the research unit and the researchers, and the interests of the various undergraduate, masters and doctoral programs. The guests for these seminars are professionals from industry and academics. This type of events allows closer relations between the research unit and the region, thus contributing to the transfer of knowledge with significant benefits for both parties.
key topics recently addressed: Nature tourism; Tourism & residents' quality of life; Tourism projects & investment decision making; Culture & tourism development; Hospitality & sharing economy; Spatial aspects of tourism demand modelling; Tourism & psychology; Tourism & local development; Measuring economic impacts of tourism; accessible tourism, e-wom and user generated content in hospitality.
Short courses are defined according to 2 different perspectives. On the one hand, they are defined in close collaboration with the different stakeholders in the region, seeking to meet their training needs. On the other hand, they are defined according to training needs expressed by students and researchers who are members of CinTurs.
key topics recently addressed: Accessible Tourism: Urban & Architectural aspects (5 editions); Law & Coastal Management; Introduction & Techniques to Spatial Modelling; Data Analysis with SPSS; Data Analysis with NVIVO 12.