-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Call for Papers: IoT and AI for Smart Government Datum: Wed, 28 Jun 2017 09:12:11 +0000 Von: Charalabidis Yannis yannisx@aegean.gr An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
Call for Papers: IoT and AI for Smart Government https://www.journals.elsevier.com/government-information-quarterly/call-for-...
Call for Papers
Government Information Quarterly - Special Issue on IoT and AI for Smart Government
The Internet of Things (IoT) is an emerging paradigm where everyday objects are equipped with processors and transceivers that enable them to communicate with each other and with users, thus becoming a part of the Internet. The processors and transceivers generate huge amount of data from which cities and governments can learn new knowledge. In this context, Artificial Intelligence (AI) provides the algorithms and techniques to learn from that data and to create new applications.
By enabling interaction with a wide variety of devices such as, home appliances, surveillance cameras, wearables, smart phones, and vehicles, loT can facilitate the development of many new services for citizens, businesses, and public administration. This paradigm finds applications in various domains, such as home and industrial automation, healthcare, energy management, safety and security, automotive industry, and traffic management, among others.
Applications may bring about a number of benefits for public services, such as transport and parking, lighting, surveillance of public areas, garbage collection, and healthcare. Furthermore, different types of data collected by urban loT may be used to increase government transparency, enhance the awareness of people, and stimulate active participation of citizens in public administration. According to Pike Research, the smart city market is estimated to reach hundreds of billion dollars by 2020. However, the potential of smart cities is impaired by a number of technical, political, societal, organizational, financial, and policy barriers. IoT allows the collection of data from different sources by the public and governments, which enables new information flows and can be used as input for public policy. This all demands new policies and government structures to deal with them.
A pressing issue is the non-interoperability of heterogeneous IoT technologies. The realization of urban loT still lacks established best practices because of its novelty and complexity. A key challenge is the fragmentation of the roles and responsibilities of different stakeholders and their relationships. Citizens might be the owners of devices, data generators or might be subjects or users of data, which results in complex relationships between the public and governments. They all have to collaborate to develop new applications and insights from these data.
While AI and IoT enable the realization of smart government, there are many unanswered questions in this area. For example, how can technologies be used to support citizens and governments? How do they shape policies and services by public sector organizations? What kinds of intelligence can be created, who audits and curates the data and algorithms and how will the use of algorithms transform government? What are the issues regarding data quality, privacy, security, access and identity? What are the issues specific to IoT in the various domains (health, energy etc.) and can they learn from each other? Or, what may be some really advanced examples of IoT applications with data management or advanced intelligence in a smart city context?
We solicit papers that advance our knowledge in these areas. We welcome both conceptual and empirical, as well as qualitative and quantitative research papers.
Topics may include, but are not limited to, the following: * Policies and curation for dealing with IoT, AI and algorithms * Challenges, barriers and drivers of IoT implementation in the local or national contexts * Public value, social implications and performance evaluation of IoT, AI and algorithms * Frameworks and models for IoT and AI application in cities or government organisations * The adoption, implementation, and use of IoT and AI in local or central administration * IoT and AI business models, including private-public partnerships * Data quality, access control and open data issues * New digital policies for IoT and AI in smart cities and smart organisations * IoT and AI infrastructures and their potential transformational impact on structure, governance, and processes of government * The role of IoT and AI in facilitating public participation and engagement * Privacy and security issues, and relevant policies concerning IoT or AI deployment * Legal and licensing issues and policies * Governance mechanisms and policy initiatives to manage IoT/AI interventions in cities or organisations
About Government Information Quarterly
Government information quarterly (GIQ) is the premier journal at the intersection of policy, information technology, government, and the public. In particular, GIQ focuses on how policies affect government information flows and the availability of government information; the use of technology to create and provide innovative government services; the impact of information technology on the relationship between the governed and those governing; and the increasing significance of information policies and information technology in relation to democratic practices. In 2016, GIQ had a CiteScore of 5.81 with a SNIP of 2.121, an impact factor of 4.090 and a 5-Year Impact Factor of 5.111. This CiteScore ranks GIQ as second among 194 Library & Information Science journals.
Submissions to the special issue should conform to the GIQ focus by emphasizing policy aspects of the research. Examples of the IOT and AI applications in the contexts of smart cities and smart governments already exist. However, knowledge and experience about the consequences of IOT and AI implementation and corresponding governance mechanisms and policy initiatives that are vital to managing them are only recently beginning to emerge. One role of the special issue is to capture, consolidate and systematize emerging knowledge and experiences about the consequences as a reference source for adaptation to various national and regional contexts.
Special Issue Guest Editors:
Atreyi Kankanhalli, National University of Singapore, Singapore. Email: atreyi@comp.nus.edu.sg
Yannis Charalabidis, University of the Aegean, Greece. Email: yannisx@aegean.gr
Yogesh K. Dwivedi, Swansea University, UK. Email: ykdwivedi@gmail.com
Sehl Mellouli, Laval University, Canada. Email: sehl.mellouli@fsa.ulaval.camailto:sehl.mellouli@fsa.ulaval.ca
Special Issue Format:
We expect 20-30 submissions from which we aim to select 5-6 high quality papers for the special issue. Each submission will be subject to a double-blind peer review process with at least two independent reviewers. For more information visit http://www.journals.elsevier.com/government-information-quarterly/call-for-p....http://www.journals.elsevier.com/government-information-quarterly/call-for-papers/special-issue-on-smart-city-IoT/ Authors can contact any of the Guest Editors for additional information.
Key Dates for the Special Issue: * Paper submissions: November 30, 2017 * Complete first round of review: February 29, 2018 * Authors submit second round: May 31, 2018 * Complete second round of review (with Accept/Reject decision): August 31, 2018 * Special Issue ready for submission to GIQ: November 30, 2018
--------------------------------------------------------------------- Yannis Charalabidis, Associate Professor Head, Information Systems Laboratory Director, Aegean University Innovation and Entrepreneurship Unit
Department of Information and Communication Systems Engineering University of the Aegean | Karlovassi, 83200 Samos, Greece Tel: +302273082200 | Tel Athens: +302106492226 | Mob: +306974142112 yannisx@aegean.grmailto:yannisx@aegean.gr | www.charalabidis.grhttp://www.charalabidis.gr/ | http://twitter.com/@yannisc ---------------------------------------------------------------------
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