Relaunching European smart and SustainablE Tourism models Through digitalization and INnovative technoloGies
Researcher
The global COVID-19 crisis triggered major changes across societies around the world disrupting the way we live and conduct business. Across Europe, the measures and restrictions enforced due to the pandemic have led to sudden changes in many paradigms paving the way for new business models and market exchanges. This dramatic disruption has accelerated some socio-economic trends, which were visible before the COVID-19 crisis, such as the adoption of sophisticated technology and data solutions to facilitate human-centered, people-smart, and sustainable operation models; the incorporation of sustainability and climate mitigation as non-negotiable principles of operating and doing businesses and last but not least, relying on smart data evidence-based solutions to guide decision making for optimal commercial and sustainability performance.
The tourism industry is one of the global economic sectors that is most severely impacted by the COVID-19 pandemic and associated with its economic downturn, according to the UN World Tourism Organisation. UNWTO data states that the current crisis is responsible for a global fall in export revenues of between EUR 750-900 billion and a loss of direct jobs that could be between 100 and 200 million. With the fall in profits and lack of certainty for stable markets, the recovery shortly of small and medium enterprises (SMEs), which according to UNWTO shoulder 80% of global tourism, is at stake. With lost revenues and subsequently, talent drain to other economic sectors, tourism SMEs face the need to adapt at a time of crisis with constraint capacities.
Through the design of a dynamic technological solution (platform) for knowledge-transfer and experience exchange made available to a network of tourism SME clusters across six countries, this project will demonstrate how digitalization can accelerate innovation and uptake of new sustainability solutions in a sector that is built up mostly of small enterprises with limited resources for n...
Project Information
2022-01-02
2024-06-30
Project Partners
- ISTAR-Iscte
- BRU-Iscte
- IT-Iscte
- EURECAT - Leader (Spain)
- TICSUD - (Spain)
- FEHT-Turism - (Spain)
- - - (Italy)
- ANHER - (Greece)
- Albanian Trip - (Albania)
- AUDAX - (Portugal)
Summer with Science Trainning
Researcher
Based on the experience of the previous editions of summer and winter schools at ISCTE:
http://istar.iscte-iul.pt/summerschool2019/ and https://istar.iscte-iul.pt/winterschool2020/ the summer 2020 edition focus on new challenges on Smart Anything, like Smart {Cities, Buildings, Health, and Education}. Using IoT laboratory we will develop in a short time a set of research projects where students will have a strong participation. The summer school will bring knowledge on IoT systems, and research challenges will go prompt through a set of applied use cases. Simoultaneously, the PhD and master students of the Master in Integrated Business Intelligence Systems (MIBIS) will have the opportunity to continue their running projects. The group of PhD students will share their research data and knowledge, supporting data analytics and artificial intelligence approaches in the following fields :
1) Smart Budings, IoT, 3D data representation and user interaction to save energy on shared space at buildings. Associated to the running project Social IoT .
2) Smart Health, with remote sensing for COVID. The aim of this research is to identify knowledge from sensors and available information.
3) Smart Education. The aim is to extract knowledge from social media data, integrating both qualitative analysis and large-scale data mining techniques, to explore students’ informal conversations and statements on social networks.
4) Smart Cities, with connection to open data laboratory of CMLisboa (https://lisboainteligente.cm-lisboa.pt/lxdatalab/). The goal is to use Lisbon mobility data towards knowledge extraction for the challengers provided by CMLisboa.
The Summer School will last for 13 weeks (W) beginning at July 27, with full time classes in the W1 & W13. The projects will run in the IoT Laboratory facilities from W2-W12, with weekly meetings and 3 evaluations periods (W2, W7 and W12).
Project Information
2020-07-27
2020-10-26
Project Partners
Português