Emerging Smart City Job Roles and Skills for Smart Urban Governance

Panagiotakopoulos, Theodor; Iatrellis, Omiros; Kameas, Achilles

doi:10.1007/978-3-030-97818-1_1

Cited by 5 publications

(5 citation statements)

References 19 publications

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Section: Methodsmentioning

confidence: 99%

“…As detected in previous research on the SCs sector [ 38 ], with an intensive presence of IoT solutions, there is a deficit in the analysis and development of qualification profiles for the technical team responsible for solution implementations. In fact, the study of the SmartDevops project [ 38 ] finally determined three initial job profiles (“smart city planner”, “smart city IT manager”, and “smart city IT officer”) but mainly focused on the contribution of DevOps to the SC projects. Given the wide set of contexts where IoT implementation may happen, we have also exploited the SMACITE EU-funded project, also focused on SCs, [ 39 ] to more deeply explore what technical professionals need in terms of qualification referred to the implementation of IoT and in other complementary aspects such as security, data management, etc.…”

Section: Methodsmentioning

confidence: 99%

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User and Professional Aspects for Sustainable Computing Based on the Internet of Things in Europe

Pospelova

López-Baldominos

Sanz

et al. 2023

Sensors

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The commonly accepted definition of sustainability considers the availability of relevant resources to make an activity feasible and durable while also recognizing users’ support as an essential part of the social side of sustainability. IoT represents a disruption in the general scenario of computing for both users and professionals. The real expansion and integration of applications based on IoT depend on our capacity of exploring the necessary skills and professional profiles that are essential for the implementation of IoT projects, but also on the perception of relevant aspects for users, e.g., privacy, legal, IPR, and security issues. Our participation in several EU-funded projects with a focus on this area has enabled the collection of information on both sides of IoT sustainability through surveys but also by collecting data from a variety of sources. Thanks to these varied and complementary sources of information, this article will explore the user and professional aspects of the sustainability of the Internet of Things in practice.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

User and Professional Aspects for Sustainable Computing Based on the Internet of Things in Europe

Pospelova

López-Baldominos

Sanz

et al. 2023

Sensors

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“…To this end, we initially focused on identifying emerging job profiles and skills in a smart city career ecosystem. Our research revealed three primary smart city job profiles (Panagiotakopoulos et al, 2022), which are briefly described as follows:…”

Section: Learning Paths and Competencies To Be Taughtmentioning

confidence: 99%

A competency-based specialization course for smart city professionals

Panagiotakopoulos,

Lazarinis,

Iatrellis

et al. 2023

RPTEL

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Intelligent technologies permeate all aspects of contemporary society and urban life. It is essential to educate the workforce of smart cities in order to effectively meet emerging technological demands. In this paper, we present an e-course that focuses on discrete competencies associated with different smart city roles. Initially, we present the conceptual learning framework for the development of the competency-based learning course and we define the objectives of the research. The paper continues with a discussion of the model’s application steps and an examination of the course’s skills, competencies, and roles. The acquired knowledge was measured using pre- and post-course tests, and questionnaires were used to investigate the relevance and quality of the learning material and the learning acquisition of the participants. Evaluation results showed that the course was relevant to the concept of smart cities, useful for their work duties, while participation in the course resulted in increased overall competency in all three smart city job profiles.

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“…A smart city essentially comprises an emerging, technology-enhanced urban management model that has the power and potential to address contemporary challenges of urban agglomerations mainly caused by climate change and cumulative urbanization. Smart cities envision a techno-utopian urban future, where technological advancements and intelligent interconnected systems are expected to deliver on the promise of optimized resource utilization, environmental sustainability, economic growth, and increased quality of living [71]. While each city has its own unique needs and characteristics that drive urban innovation, smart city applications come in a rich variety in terms of engaged stakeholders, technological features, offered services, and used platforms.…”

Section: Smart City Applicationsmentioning

confidence: 99%

Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities

Papastefanopoulos,

Linardatos,

Panagiotakopoulos

et al. 2023

Smart Cities

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Smart cities are urban areas that utilize digital solutions to enhance the efficiency of conventional networks and services for sustainable growth, optimized resource management, and the well-being of its residents. Today, with the increase in urban populations worldwide, their importance is greater than ever before and, as a result, they are being rapidly developed to meet the varying needs of their inhabitants. The Internet of Things (IoT) lies at the heart of such efforts, as it allows for large amounts of data to be collected and subsequently used in intelligent ways that contribute to smart city goals. Time-series forecasting using deep learning has been a major research focus due to its significance in many real-world applications in key sectors, such as medicine, climate, retail, finance, and more. This review focuses on describing the most prominent deep learning time-series forecasting methods and their application to six smart city domains, and more specifically, on problems of a multivariate nature, where more than one IoT time series is involved.

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Emerging Smart City Job Roles and Skills for Smart Urban Governance

Cited by 5 publications

References 19 publications

User and Professional Aspects for Sustainable Computing Based on the Internet of Things in Europe

User and Professional Aspects for Sustainable Computing Based on the Internet of Things in Europe

A competency-based specialization course for smart city professionals

Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities

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