Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses

Carlo Giovannella; Diana Andone; Mihai Dascalu; Elvira Popescu; Matthias Rehm; Oscar Mealha

doi:10.1109/ISC2.2016.7580792

Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses

Carlo Giovannella, Diana Andone, Mihai Dascalu, Elvira Popescu, Matthias Rehm, Oscar Mealha

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

10 Citations (Scopus)

Abstract

A new method to perform a bottom-up extraction and benchmark of the perceived multilevel smartness of complex ecosystems has been recently described and applied to territories and learning ecosystems like university campuses and schools. In this paper we study the resilience of our method by comparing and integrating the data collected in several European Campuses during two different academic years, 2014-15 and 2015-16. The overall results are: a) a more adequate and robust definition of the orthogonal multidimensional space of representation of the smartness, and b) the definition of a procedure to identify data that exhibits a limited level of trust.

Original language	English
Title of host publication	Proceedings of the IEEE Second International Smart Cities Conference : Improving the citizens quality of life
Publisher	IEEE Computer Society Press
Publication date	2016
ISBN (Print)	978-1-5090-1847-5
ISBN (Electronic)	978-1-5090-1846-8
DOIs	https://doi.org/10.1109/ISC2.2016.7580792
Publication status	Published - 2016
Event	IEEE International Smart Cities Conference (ISC2 2016) - Trento, Italy Duration: 12 Sept 2016 → 15 Sept 2016 http://events.unitn.it/en/isc2-2016

Conference

Conference	IEEE International Smart Cities Conference (ISC2 2016)
Country/Territory	Italy
City	Trento
Period	12/09/2016 → 15/09/2016
Internet address	http://events.unitn.it/en/isc2-2016

Keywords

Smart city learning
Learning Analytics

Access to Document

10.1109/ISC2.2016.7580792

AUB Link

Search for the material in Aalborg University Library's search engine

ASLERD: Association for Smart Learning Ecosystems and Regional Development
Rehm, M. (PI)
01/09/2015 → 31/12/2021
Project: Research

Association for Smart Learning Ecosystems and Regional Development (External organisation)
Rehm, M. (Vice chairperson)
2015 → 2019
Activity: Memberships › Board duties in companies, associations, or public organisations

Cite this

Giovannella, C., Andone, D., Dascalu, M., Popescu, E., Rehm, M., & Mealha, O. (2016). Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses. In Proceedings of the IEEE Second International Smart Cities Conference: Improving the citizens quality of life IEEE Computer Society Press. https://doi.org/10.1109/ISC2.2016.7580792

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title = "Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses",

abstract = "A new method to perform a bottom-up extraction and benchmark of the perceived multilevel smartness of complex ecosystems has been recently described and applied to territories and learning ecosystems like university campuses and schools. In this paper we study the resilience of our method by comparing and integrating the data collected in several European Campuses during two different academic years, 2014-15 and 2015-16. The overall results are: a) a more adequate and robust definition of the orthogonal multidimensional space of representation of the smartness, and b) the definition of a procedure to identify data that exhibits a limited level of trust.",

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author = "Carlo Giovannella and Diana Andone and Mihai Dascalu and Elvira Popescu and Matthias Rehm and Oscar Mealha",

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language = "English",

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booktitle = "Proceedings of the IEEE Second International Smart Cities Conference",

publisher = "IEEE Computer Society Press",

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note = "IEEE International Smart Cities Conference (ISC2 2016), ISC2 2016 ; Conference date: 12-09-2016 Through 15-09-2016",

url = "http://events.unitn.it/en/isc2-2016",

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Giovannella, C, Andone, D, Dascalu, M, Popescu, E, Rehm, M & Mealha, O 2016, Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses. in Proceedings of the IEEE Second International Smart Cities Conference: Improving the citizens quality of life. IEEE Computer Society Press, IEEE International Smart Cities Conference (ISC2 2016), Trento, Italy, 12/09/2016. https://doi.org/10.1109/ISC2.2016.7580792

Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses. / Giovannella, Carlo; Andone, Diana; Dascalu, Mihai et al.
Proceedings of the IEEE Second International Smart Cities Conference: Improving the citizens quality of life. IEEE Computer Society Press, 2016.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses

AU - Giovannella, Carlo

AU - Andone, Diana

AU - Dascalu, Mihai

AU - Popescu, Elvira

AU - Rehm, Matthias

AU - Mealha, Oscar

PY - 2016

Y1 - 2016

N2 - A new method to perform a bottom-up extraction and benchmark of the perceived multilevel smartness of complex ecosystems has been recently described and applied to territories and learning ecosystems like university campuses and schools. In this paper we study the resilience of our method by comparing and integrating the data collected in several European Campuses during two different academic years, 2014-15 and 2015-16. The overall results are: a) a more adequate and robust definition of the orthogonal multidimensional space of representation of the smartness, and b) the definition of a procedure to identify data that exhibits a limited level of trust.

AB - A new method to perform a bottom-up extraction and benchmark of the perceived multilevel smartness of complex ecosystems has been recently described and applied to territories and learning ecosystems like university campuses and schools. In this paper we study the resilience of our method by comparing and integrating the data collected in several European Campuses during two different academic years, 2014-15 and 2015-16. The overall results are: a) a more adequate and robust definition of the orthogonal multidimensional space of representation of the smartness, and b) the definition of a procedure to identify data that exhibits a limited level of trust.

KW - Smart city learning

KW - Learning Analytics

U2 - 10.1109/ISC2.2016.7580792

DO - 10.1109/ISC2.2016.7580792

M3 - Article in proceeding

SN - 978-1-5090-1847-5

BT - Proceedings of the IEEE Second International Smart Cities Conference

PB - IEEE Computer Society Press

T2 - IEEE International Smart Cities Conference (ISC2 2016)

Y2 - 12 September 2016 through 15 September 2016

ER -

Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Projects

ASLERD: Association for Smart Learning Ecosystems and Regional Development

Activities

Association for Smart Learning Ecosystems and Regional Development (External organisation)

Cite this