Abstract
The term Living Lab was first used at MIT and originates from purpose-built labs where volunteer research participants were provided with facilities of a regular home and were observed with all sorts of devices while testing new technologies. The concept has evolved over the years and now it represents a systematic user co-creation approach that integrates research and innovation processes in real life communities and settings. The research described in this paper focuses on the role that Living Labs can play in strengthening the skills of territory by increasing knowledge deriving from it also by improving users’ engagement in the process itself of creation and instantiating relationships among actors. In particular, an innovative approach to the design and use of Living Labs is studied, aimed at integrating territorial intelligence and ICT to better understand territorial phenomena and interpret local dynamics involving citizens, institutions and organizations. To support the achievement of this goal, in this paper a technological solution conceived to increase the automation process for knowledge creation and sharing is also described. It allows users to query thematic datasets and visualize (geolocated) information. Each new information produced by aggregating and mining processes can be in turn integrated as a resource belonging to the heritage of the spatially enabled territory.
Supported by MIUR, PRIN 2017 grant number 2017JMHK4F_004.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bertacchini, Y., Rodriguez-Salvador, M., Souari, W.: From territorial intelligence to compositive & sustainable system. Case studies in Mexico & in Gafsa university. In: International Conference of Territorial Intelligence, Huelva 2007, Huelva, Spain, pp. 106–124 (October 2007). https://halshs.archives-ouvertes.fr/halshs-00516033
Canares, M.P., Marcial, D., Narca, M.: Enhancing citizen engagement with open government data. J. Commun. Inf. 12(2) (2016). https://doi.org/10.15353/joci.v12i2.3240. https://doi.org/10.15353%2Fjoci.v12i2.3240
De Muro, P., Mazziotta, M., Pareto, A.: Composite indices of development and poverty: an application to MDGs. Soc. Indic. Res. 104(1), 1–18 (2011). https://doi.org/10.1007/s11205-010-9727-z
Deufemia, V., Giordano, M., Polese, G., Tortora, G.: A visual language-based system for extraction-transformation-loading development. Softw. Pract. Exp. 44(12), 1417–1440 (2014). https://doi.org/10.1002/spe.2201
European Network of Living Labs. https://enoll.org/
European Network of Living Labs (2015). https://openlivinglabdays16.wordpress.com/2015/12/10/the-10th-wave-for-enoll-membership-is-now-open/
Flichy, P.: Connected individualism between digital technology and society. Réseaux 124, 17–51 (2004)
ISTAT: Web service sdmx per l’accesso ai dati di istat (October 2020). https://www.istat.it/it/metodi-e-strumenti/web-service-sdmx
Laurini, R.: Geographic Knowledge Infrastructure. Applications to Territorial Intelligence and Smart Cities. Elsevier (2017)
Likas, A., Vlassis, N., Verbeek, J.: The global k-means clustering algorithm. Pattern Recogn. 36(2), 451–461 (2003)
Living Labs and Open Innovation (February 2016). https://ec.europa.eu/digital-single-market/en/news/living-labs-and-open-innovation
Mazziotta, M., Pareto, A.: On a generalized non-compensatory composite index for measuring socio-economic phenomena. Soc. Indic. Res. 127(3), 983–1003 (2016)
Obama, B.: Transparency and open government (January 2009). Online
Partnership, O.G.: Open government declaration (September 2011). Online
Patel, J.: Introduction to Web Scraping, pp. 1–30. Apress, Berkeley (2020). https://doi.org/10.1007/978-1-4842-6576-5_1
Pellegrino, M.A., Postiglione, L., Scarano, V.: Detecting data accuracy issues in textual geographical data by a clustering-based approach. In: 8th ACM IKDD CODS and 26th COMAD, CODS COMAD 2021, pp. 208–212. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3430984.3431031
Sebillo, M., Tortora, G., Tucci, M., Vitiello, G., Ginige, A., Giovanni, P.D.: Combining personal diaries with territorial intelligence to empower diabetic patients. J. Vis. Lang. Comput. 29, 1–14 (2015)
Sebillo, M.M.L., Vitiello, G., Grimaldi, M., De Chiara, D.: A territorial intelligence-based approach for smart emergency planning. In: Chinnici, M., et al. (eds.) Data Science and Big Data Analytics in Smart Environments, pp. 135–156. Routledge Taylor & Francis Group (2021)
USHAIDI: Ushaidi. https://www.ushahidi.com/
Wirtz, B.W., Birkmeyer, S.: Open government: origin, development, and conceptual perspectives. Int. J. Pub. Adm. 38(5), 381–396 (2015)
Wold, S., Esbensen, K., Geladi, P.: Principal component analysis. Chemometr. Intell. Lab. Syst. 2(1), 37–52 (1987). Proceedings of the Multivariate Statistical Workshop for Geologists and Geochemists. https://doi.org/10.1016/0169-7439(87)80084-9. https://www.sciencedirect.com/science/article/pii/0169743987800849
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Battistoni, P., Grimaldi, M., Sebillo, M., Vitiello, G. (2022). Living Labs and Open Innovation to Support Local Development Policies. In: Borgogno-Mondino, E., Zamperlin, P. (eds) Geomatics and Geospatial Technologies. ASITA 2021. Communications in Computer and Information Science, vol 1507. Springer, Cham. https://doi.org/10.1007/978-3-030-94426-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-94426-1_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-94425-4
Online ISBN: 978-3-030-94426-1
eBook Packages: Computer ScienceComputer Science (R0)