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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

9 Citationer (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.

Originalsprog	Engelsk
Titel	Proceedings of the IEEE Second International Smart Cities Conference : Improving the citizens quality of life
Forlag	IEEE Computer Society Press
Publikationsdato	2016
ISBN (Trykt)	978-1-5090-1847-5
ISBN (Elektronisk)	978-1-5090-1846-8
DOI	https://doi.org/10.1109/ISC2.2016.7580792
Status	Udgivet - 2016
Begivenhed	IEEE International Smart Cities Conference (ISC2 2016) - Trento, Italien Varighed: 12 sep. 2016 → 15 sep. 2016 http://events.unitn.it/en/isc2-2016

Konference

Konference	IEEE International Smart Cities Conference (ISC2 2016)
Land/Område	Italien
By	Trento
Periode	12/09/2016 → 15/09/2016
Internetadresse	http://events.unitn.it/en/isc2-2016

Adgang til dokumentet

10.1109/ISC2.2016.7580792

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

ASLERD: Association for Smart Learning Ecosystems and Regional Development
Rehm, M.
01/09/2015 → 31/12/2021
Projekter: Projekt › Forskning

Association for Smart Learning Ecosystems and Regional Development (Ekstern organisation)
Matthias Rehm (Næstforperson)
2015 → 2019
Aktivitet: Medlemskab › Bestyrelsesarbejde i virksomhed, forening eller organisation

Citationsformater

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. I 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

@inproceedings{56dba5879a904530939e3b3d31c96968,

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.",

keywords = "Smart city learning, Learning Analytics",

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

year = "2016",

doi = "10.1109/ISC2.2016.7580792",

language = "English",

isbn = "978-1-5090-1847-5",

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. i 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, Italien, 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.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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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

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

ASLERD: Association for Smart Learning Ecosystems and Regional Development

Aktiviteter

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

Citationsformater