Track Information

Track: Classical and Emerging Digital Governance – The Artificial Intelligence Era

The increasing exploitation of ICTs, both traditional and emerging ones, by government agencies for improving the generation of value for the society, has led to the rapid development of Digital Governance research and practice. The first generation of it, usually referred to as Electronic (Digital) Government 1.0 aimed mainly at the exploitation of ICT for improving the efficiency and decreasing the cost of the complex processes and operations of government agencies, as well as of their transactions with citizens and firms (by developing digital transaction channels based on the Internet). However, the second generation of it, referred to as Electronic (Digital) Government 2.0, had a quite different orientation, focusing on the use of ICTs, and especially the Internet and the social media, for enhancing government transparency, as well as interaction, consultation and collaboration with the citizens and firms, and in general for promoting open and participative government. Also, the opening of government data to be used for scientific and business purposes, as well as for enhancing political debates, and making them more ‘evidence-based’, was another major development of this second generation. Recently, a third generation of has emerged, referred to as Electronic (Digital) Government 3.0, aiming at the exploitation of ICT in order to improve and enhance the highest-level functions of government agencies aiming at public policy making. All these three generations initially focused on the use of ICTs for supporting existing processes and activities, but then started taking more innovative directions, aiming at the use of ICT for transforming existing processes and activities, and governance models in general, and this gave rise to the development of the transformative stages of these three generations Electronic (Digital) Governance 1.0, 2.0 and 3.0 respectively, and to the gradual digital transformation of the public sector. Furthermore, all these three generations of digital governance are continuously evolving, by exploiting and incorporating some emerging ‘disruptive’ technologies, such as business analytics, cloud, Internet of Things, big data, artificial intelligence, blockchain etc.). Especially artificially intelligence technologies, such as machine learning, has the potential to provide great benefits to public organizations, concerning the efficiency and effectiveness of operations, decision making and policy making, facilitate a new generation of digital transformation of government, leading to a new ‘artificial intelligence era’ of government. However, its application can pose serious challenges and risks. Furthermore, the use of Internet of Things technologies in modern cities can lead to the development of smart cities providing to citizens to higher quality of life.

Topics of interest include, but are not limited to:
• ‘Classical’ efficiency-oriented digital government
• Electronic (Digital) Government/Governance services
• Electronic (Digital) Democracy and Voting
• Digital Divide and e-Inclusion
• Information Society and Electronic (Digital) Government/Governance policies
• Open Government – Transparency, Participation and Collaboration
• Open government data
• Open government data plat and evaluation
• Open government data ecosystems development
• Citizen-centric Electronic (Digital) Government/Governance
• Innovative Electronic (Digital) Services (Transparent, Anticipatory, Context-Aware, Co-Created)
• Digital Transformation of government
• Public Values and Digital (Electronic) Government/Governance
• Security, Privacy and Trust in Digital (Electronic) Government/Governance
• Benefits, barriers and risks of Electronic (Digital) Government/Governance development and adoption
• Government Process Management, Interoperability and Integration
• Social Media in Government
• Policy Modelling/Analytics
• Big data and government
• Cloud Computing in Government
• Artificial Intelligence in government – exploitation and benefits
• Artificial Intelligence in government – challenges and risks
• Artificial Intelligence in government – policies and strategies
• Artificial Intelligence-based digital transformation of government
• Use of Generative Artificial Intelligence in government
• Blockchain in Government
• Internet of Things in government
• Smart Cities, Smart Government and Smart Citizens
• Legal Informatics
• Mobile-Government (M-Government)
• Covid-19 and Digital Government/Governance
• Economic crises and Digital Government/Governance

Track chairs:
• Euripidis Loukis,, University of Aegean, Greece,
• Yannis Charalabidis,, University of Aegean, Greece
• Charalampos Alexopoulos,, University of Aegean, Greece