Dante Study visit in Turin (Italy), 28 - 29 October 2013

Context of study visit:

On 28th and 29th October 2013, the Province of Turin and CSI Piemonte hosted a delegation from CyberMassif for a 2-Day study visit in Turin. The purpose of the meeting was a more in depth analysis of the “Mobile Tag System”1 and “Net sentiment” good practices. The meeting focused more on technical and methodology aspects, as the practices had already been presented to the general public at the workshop in Turin on 23rd May 2013.
Visit contents:

The study visit in the Province of Turin started with a presentation of technical content of the good practice, followed by a discussion on the methodology used for the involvement of stakeholders and the testimony of a tourist provider involved in the project. During the study visit the locations ZoomTorino and Eataly were visited, as an example of tag installations in strategic places for tourist.

The study visit in CSI Piemonte was organized with presentations of Net Sentiment methodology, case study implementations (Holy Shroud Exhibition, Turin Smart City, Net sentiment on Tourism in Piedmont) and insights on how to implement the Net Sentiment methodology.

Good practice transferability:

The “Mobile Tag system” good practice is fully transferable. It only requires a good internet connection and training for tourist providers. It can be connected with a policy of promoting of alpine stations or disadvantages territories.

CSI Piemonte Net sentiment good practice is also transferable. The essential requirement is to identify a rich collection of web information to analyze from social networks, forums or structured tourist data). The methodology and the search engine produce reports for decision makers to take more informed decisions, better targeting investments and more effective policy developments in their territories.








1 For more information of these Good Practices, please have a look page 9 and page 17 of our Good Practice guide:http://danteproject.eu/sites/danteproject.eu/files/goodpractices/Guidebook_GP.pdf