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

Carlo Giovannella; Diane Andone; Mihai Dascălu; 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, Diane Andone, Mihai Dascălu, Elvira Popescu, Matthias Rehm, Oscar Mealha

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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	2016 IEEE International Smart Cities Conference (ISC2)
Publisher	IEEE
Pages	1-5
DOIs	https://doi.org/10.1109/ISC2.2016.7580792
Publication status	Published - 1 Jan 2017
Externally published	Yes
Event	IEEE International Smart Cities Conference (ISC2) - Trento, Italy Duration: 12 Sept 2016 → 15 Sept 2016 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7573871

Conference

Conference	IEEE International Smart Cities Conference (ISC2)
Country/Territory	Italy
City	Trento
Period	12/09/16 → 15/09/16
Internet address	https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7573871

Keywords

smart city learning
learning ecosystems
smart city analytics
flow state
Maslow pyramid
Principal Component Analysis

Access to Document

10.1109/ISC2.2016.7580792

Rage: Realising an Applied Gaming Eco-system
Westera, W. (PI), Georgiadis, K. (CoI), Saveski, G. (CoI), van Lankveld, G. (CoI), Bahreini, K. (CoI), van der Vegt, W. (CoI), Berkhout, J. (CoI), Nyamsuren, E. (CoI), Kluijfhout, E. (CoI) & Nadolski, R. (CoI)
European Union
1/02/15 → 31/07/19
Project: Research

Cite this

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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.",

keywords = "smart city learning, learning ecosystems, smart city analytics, flow state, Maslow pyramid, Principal Component Analysis",

author = "Carlo Giovannella and Diane Andone and Mihai Dasc{\u a}lu and Elvira Popescu and Matthias Rehm and Oscar Mealha",

year = "2017",

month = jan,

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doi = "10.1109/ISC2.2016.7580792",

language = "English",

pages = "1--5",

booktitle = "2016 IEEE International Smart Cities Conference (ISC2)",

publisher = "IEEE",

address = "United States",

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

url = "https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7573871",

}

Giovannella, C, Andone, D, Dascălu, M, Popescu, E, Rehm, M & Mealha, O 2017, Evaluating the Resilience of the Bottom-up Method used to Detect and Benchmark the Smartness of University Campuses. in 2016 IEEE International Smart Cities Conference (ISC2). IEEE, pp. 1-5, IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12/09/16. 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, Diane; Dascălu, Mihai et al.
2016 IEEE International Smart Cities Conference (ISC2). IEEE, 2017. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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AU - Popescu, Elvira

AU - Rehm, Matthias

AU - Mealha, Oscar

PY - 2017/1/1

Y1 - 2017/1/1

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 ecosystems

KW - smart city analytics

KW - flow state

KW - Maslow pyramid

KW - Principal Component Analysis

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DO - 10.1109/ISC2.2016.7580792

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T2 - IEEE International Smart Cities Conference (ISC2)

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

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Rage: Realising an Applied Gaming Eco-system

Cite this