This research examines the role of Generative Artificial Intelligence (AI) in enhancing citizen engagement in participatory budgeting. In response to challenges like declining civic participation and increased societal polarization, the study explores how online political participation can strengthen democracy and promote social equity. By integrating Generative AI into public consultation platforms, the research aims to improve citizen proposal formulation and foster effective dialogue between citizens and government. It assesses the capacities governments need to implement AI-enhanced participatory tools, considering technological dependencies and vulnerabilities. Analyzing technological structures, actors, interests, and strategies, the study contributes to understanding how technological advancements can reshape participatory institutions to better facilitate citizen involvement. Ultimately, the research highlights how Generative AI can transform participatory institutions, promoting inclusive, democratic engagement and empowering citizens.

As artificial intelligence transforms public sector operations, governments struggle to integrate technological innovations into coherent systems for effective service delivery. This paper introduces the Algorithmic State Architecture (ASA), a novel four-layer framework conceptualising how Digital Public Infrastructure, Data-for-Policy, Algorithmic Government/Governance, and GovTech interact as an integrated system in AI-enabled states. Unlike approaches that treat these as parallel developments, ASA positions them as interdependent layers with specific enabling relationships and feedback mechanisms. Through comparative analysis of implementations in Estonia, Singapore, India, and the UK, we demonstrate how foundational digital infrastructure enables systematic data collection, which powers algorithmic decision-making processes, ultimately manifesting in user-facing services. Our analysis reveals that successful implementations require balanced development across all layers, with particular attention to integration mechanisms between them. The framework contributes to both theory and practice by bridging previously disconnected domains of digital government research, identifying critical dependencies that influence implementation success, and providing a structured approach for analysing the maturity and development pathways of AI-enabled government systems.

Life event service is a direct digital public service provided jointly by several governmental institutions so that a person can fulfill all the obligations and use all the rights that arise due to a particular event or situation in personal life. Life event service consolidates several public services related to the same life event into one service for the service consumer. This paper presents an ontological analysis of life event services, which is based on the works by Guarino, Guizzardi, Nardi, Wagner, and others. The purpose of the ontological analysis is to understand the meanings of life event, proactive public service based on life event, and other related notions. This kind of ontological analysis is crucial because for implementing the hardware and software architectures of e-government and digital public services, it is essential to agree upon the precise meanings of the underlying terms.

Public data ecosystems (PDEs) represent complex socio-technical systems crucial for optimizing data use in the public sector and outside it. Recognizing their multifaceted nature, previous research pro-posed a six-generation Evolutionary Model of Public Data Ecosystems (EMPDE). Designed as a result of a systematic literature review on the topic spanning three decade, this model, while theoretically robust, necessitates empirical validation to enhance its practical applicability. This study addresses this gap by validating the theoretical model through a real-life examination in five European countries - Latvia, Serbia, Czech Republic, Spain, and Poland. This empirical validation provides insights into PDEs dynamics and variations of implementations across contexts, particularly focusing on the 6th generation of forward-looking PDE generation named "Intelligent Public Data Generation" that represents a paradigm shift driven by emerging technologies such as cloud computing, Artificial Intelligence, Natural Language Processing tools, Generative AI, and Large Language Models (LLM) with potential to contribute to both automation and augmentation of business processes within these ecosystems. By transcending their traditional status as a mere component, evolving into both an actor and a stakeholder simultaneously, these technologies catalyze innovation and progress, enhancing PDE management strategies to align with societal, regulatory, and technical imperatives in the digital era.

The public sector faces several challenges, such as a number of external and internal demands for change, citizens' dissatisfaction and frustration with public sector organizations, that need to be addressed. An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve public values. At the same time, data analytics has been fuelled by the availability of immense amounts of textual data. Whilst both co-creation and TA have been used in the private sector, we study existing works on the application of Text Analytics (TA) techniques on text data to support public service co-creation. We systematically review 75 of the 979 papers that focus directly or indirectly on the application of TA in the context of public service development. In our review, we analyze the TA techniques, the public service they support, public value outcomes, and the co-creation phase they are used in. Our findings indicate that the TA implementation for co-creation is still in its early stages and thus still limited. Our research framework promotes the concept and stimulates the strengthening of the role of Text Analytics techniques to support public sector organisations and their use of co-creation process. From policy-makers' and public administration managers' standpoints, our findings and the proposed research framework can be used as a guideline in developing a strategy for the designing co-created and user-centred public services.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How can #AI help government transform? The whole #AIGov topic is under study and development as, - egovernment, or digital government; - smart government or igovernment; - AI government; - Global AI Global World Government; Many governments have been already governed by i-government systems, evolving from digital E-Governments to Intelligent Governments. It makes a big share in the AI industry, involving big-tech and big consulting companies as, - Huawei, Digital Government; - Oracle, State and Local Government Solutions; - SAP, Intelligent Government; Moreover, there is the whole AI World Government forum to educate and inform public sector agencies on the strategic and tactical benefits of deploying AI and cognitive technologies and gathering leaders from across government, technology innovation, business and research to present the state of the practice and state of the technology to assist the public sector in leveraging advanced intelligent technologies to enhance government services. E-government transformation initiatives are happening worldwide. Trillions of dollars and millions of hours have been spent to fix government data collection systems, move to electronic forms, and establish Internet portals.

Smart Cities Mission, an initiative launched in 2015, aims at creating the next generation cities in India. These cities would not just have an easy-to-access infrastructure but also be technologically advanced in government-citizen interaction. Technologies like Artificial Intelligence, Internet of Things, Radio-frequency identification (RFID), cloud computing, and many more would be used by the government to offer'smarter' solutions. It would ease the resource-deficit burden of the country by empowering the government to do much more with less. And when cities are becoming smarter, the traditional methods of governing would not suffice.

Globally, public sector institutions are on the path to digital transformation. Yet they are faced with technological, cultural, and regulatory challenges. In recent years, several governments have created plans to encourage the adoption of disruptive technologies, like robotic process automation (RPA) and artificial intelligence (AI). Many have already adopted automation technologies and have seen results like improved productivity, more engaged employees, and cost efficiencies.

This year, NASCIO and the Center for Digital Government, with support from IBM, set out to understand state CIOs' motivations, plans and deterrents around AI adoption. The survey, Delivering on Digital Government: Achieving the Promise of Artificial Intelligence, yielded responses from 45 states. The results reflect state leaders' eagerness to gain efficiencies and free up their workforces for higher-value work, tempered by caution due to concerns around lack of data maturity and privacy policies, as well as a dearth of employees with the necessary skills for AI adoption.

Emerging technology, like blockchain technology, Artificial Intelligence, virtual reality, drones, cloud computing -- are all on the table of the Narendra Modi government as it pushes ahead to realise the goal of better e-governance for citizens. As part of its vision of providing a One Government experience to citizens, the Modi government is moving forward rapidly to implement the India Enterprise Architecture (IndEA) -- a single window digitisation solution for cashless, paperless and faceless services. At an e-Governance conference held in Shillong, Meghalaya, earlier this month, representatives of all the state governments and Union Territories, as well as business houses, brainstormed on the way ahead to provide better e-governance, and exchanged success stories of various states that could be adopted at the national level. A Shillong Declaration was adopted as a roadmap of the way forward, at the conclusion of the two-day 22nd National Conference on e-Governance (NCeG) 2019, with special focus on the Northeast, held on August 8-9, in Shillong. The conference, that saw over 500 delegates attending, with representation from states at the level of Additional Secretary and Principal Secretary, and top representatives of business houses like Wipro, HP and KPMG, was organised by the Department of Administrative Reforms & Public Grievances (DARPG), in association with the Ministry of Electronics & Information Technology (MeitY), and the Meghalaya government.