Tag artificial intelligence

Advancing Democracy & AI: Reflections from IJCAI, PRICAI, and ICA 2025 Workshops

Anastasija Nikiforova Leave a comment

Artificial intelligence is rapidly reshaping how societies govern, deliberate, and make collective decisions. Over the past year, our Democracy & AI workshop series—held across IJCAI, PRICAI, and ICA—has become a global forum for examining both the promise and the perils of AI in democratic contexts. From Montréal to Wellington to Wuhan, our community continues to grow, connecting researchers across AI, political science, HCI, law, design, ethics, and public administration.

DemocrAI at IJCAI 2025: AI at the Service of Society

As part of the IJCAI International Joint Conferences on Artificial Intelligence in Montréal, themed “AI at the service of society,” we (Jawad Haqbeen, Takayuki Ito, Rafik Hadfi, and myself) convened the 6th International Workshop on Democracy & AI (DemocrAI25).
Although I could not attend in person, I am deeply grateful to my co-organizers for leading the workshop and for representing our team—as well as for the chance to meet Yoshua Bengio, one of the pioneers of modern deep learning and the one who recently became the very first researcher who while still being active in research achieved the milestone of 1 million citations!

The workshop opened with two outstanding keynote talks:

  • Mary Lou Maher (UNC Charlotte) — “The Imperative for AI Literacy”
  • Michael Inzlicht (University of Toronto) — “In Praise of Empathic AI”

Across 13 diverse presentations, contributors explored: AI’s impact on trust, civic engagement, and deliberation, risks and governance of LLMs in judicial settings and policymaking, collective intelligence and value aggregation for democratic processes, AI applications in education, law, and policy design, governance, fairness, inclusion, and global research equity.

We were delighted to recognize several exceptional contributions:

  • Best Paper Award — “LLMs in Court: Risks and Governance of LLMs in Judicial Decision-Making” (Djalel Bouneffouf & Sara Migliorini)
  • Best Student Paper Award — “Finding Our Moral Values: Guidelines for Value System Aggregation” (Víctor Abia Alonso, Marc Serramia & Eduardo Alonso Sánchez)
  • Best Extended Abstract Award — “Group Discussions Are More Positive with AI Facilitation” (Sofia Sahab, Jawad Haqbeen & Takayuki Ito)
  • Best Presentation Award — “Democracy as a Scaled Collective Intelligence Process” (Marc-Antoine Parent)

A key message echoed throughout the day: AI can enhance social cohesion, participation, and equity—but only through responsible design and robust governance frameworks.

DemocrAI at PRICAI 2025: Participation, Values, and Governance

Following IJCAI, I joined the organizing committee for the 7th Democracy & AI Workshop at PRICAI 2025, held in Wellington, New Zealand. Two years ago, I had the privilege of giving a keynote at PRICAI DemocrAI on symbiotic relationship of Artificial Intelligence, Data Intelligence, and Collaborative Intelligence for Innovative Decision-Making and Problem Solving. This year, I am excited to help shape the conversation from the organizing side.

The workshop explored the expanding role of AI in democratic life, including AI-assisted policy design and decision-making, AI in governance, elections, and public administration, citizen participation and deliberative democracy tools, behavioral impacts of AI on trust, engagement, and polarization, transparency, accountability, and legitimacy of algorithmic decisions, ethics, socio-technical risks, and AI’s impact on societal wellbeing, and reimagining democracy in the LLM era.

Special Track at ICA 2025: AI in e-Government & Public Administration

Our workshop series expands further with a dedicated Special Track on AI in e-Government & Public Administration at the IEEE International Conference on Agentic AI (ICA 2025), held in Wuhan, China.

Co-organized with Jawad Haqbeen, Takayuki Ito, and Torben Juul Andersen, this track examines how AI-driven tools are transforming public governance—from policy co-creation and civic engagement to service delivery and institutional decision-making.

Topics include:

  • AI for participatory and deliberative governance
  • AI’s impact on societal wellbeing
  • AI in public service delivery and policy design
  • Ethics and risk governance in public-sector AI
  • Case studies and experiments with deployed systems
  • Transparency, accountability, and responsible administration

Across IJCAI, PRICAI, and ICA, one theme is clear: AI’s role in democracy is neither predetermined nor neutral. It can support inclusion, transparency, and collective intelligence—or undermine trust, equity, and participation. The outcome depends on the choices we make now: the values we embed, the governance we build, and the communities we bring together.

Our Democracy & AI workshop series exists to advance this work—uniting technologists, policymakers, social scientists, designers, and ethicists in a shared mission: to ensure AI serves democracy, rather than the other way around.

Huge thanks to all speakers, awardees, participants, and co-organizers.
Onward to DemocrAI at PRICAI and ICA 2025!

Celebrating Our Contribution to the 50th Anniversary of Government Information Quarterly

Anastasija Nikiforova Leave a comment

Marking a half-century of shaping the field, Government Information Quarterly (GIQ) celebrates 50 years as the leading journal in digital government research—and I am honored that our latest article, “Reflections on the Nature of Digital Government Research: Marking the 50th Anniversary of Government Information Quarterly,” forms part of this milestone issue constituting an editorial.

This collaborative piece brings together a group of scholars—Marijn Janssen, Hong Zhang, Adegboyega Ojo, Anastasija Nikiforova, Euripidis Loukis, Gabriela Viale Pereira, Hans J. Scholl, Helen Liu, Jaromir Durkiewicz, Laurie Hughes, Lei Zheng, Leonidas Anthopoulos, Panos Panagiotopoulos, Tomasz Janowski, and Yogesh K. Dwivedi—each offering a distinct perspective on how digital government research has evolved, diversified, and responded to societal and technological transformation.

A special thanks goes to Marijn Janssen, former Editor-in-Chief of GIQ, whose vision and coordination made this anniversary reflection possible.

Looking Back: Five Decades of Digital Government Research

Over 50 years, GIQ has chronicled—and often anticipated—the evolution of digital governance: from early computational systems to open government, data-driven innovation, smart cities, and the rise of AI.
Throughout these cycles, the journal has remained the field’s intellectual anchor, publishing research that tackles foundational public sector challenges while engaging with emerging technologies such as blockchain, quantum computing, IoT, AR/VR, and the Metaverse.

Several characteristics continue to define GIQ’s identity:

• Methodological and epistemological pluralism
GIQ’s hallmark is its openness to diverse paradigms, methods, and theoretical lenses. Rather than promoting a single theory of digital government, it invites multiple angles—qualitative, quantitative, mixed, conceptual, comparative—to analyze complex governance realities.

• “Blue-sky” thinking without hype
GIQ encourages forward-looking, innovative, and boundary-pushing ideas, while maintaining analytical discipline. This balance keeps the field visionary yet grounded.

• Impact rooted in both theory and practice
The journal has consistently insisted that strong methodology must lead to meaningful insights—advancing academic understanding while speaking directly to policymakers and practitioners.

• Clear communication to a broad audience
GIQ’s readership extends well beyond academia. With government, industry, and civil society looking to the journal for guidance, clarity and accessibility are essential. As Shakespeare famously said, “brevity is the soul of wit.”

What Our Anniversary Article Contributes

Our contribution synthesizes insights from leading experts to illuminate the nature, evolution, and future of digital government research.
Several overarching themes emerge:

  • epistemological pluralism and interdisciplinarity as fundamental characteristics of the field;
  • contextualized, value-driven, and practice-relevant research as the journal’s core strength;
  • digital transformation as a socio-technical phenomenon, where institutions, technology, data, governance models, and citizen expectations co-evolve;
  • the importance of studying both technology and context, avoiding the pitfalls of black-boxing either side of the equation;
  • GIQ’s role as a platform for blue-sky research, innovation, and rigorous theorization that remains relevant across countries and governance systems.

We dedicate this article to the late Professor Soon Ae Chun, former Co-Editor-in-Chief of GIQ.
Her leadership, scholarship, and unwavering commitment to quality and community have left an enduring mark on the field.

The 50-year anniversary of GIQ is more than a celebration. It is a reminder that the future of digital government research depends on openness: in methods, theories, communication, and imagination. As digital governance accelerates, the journal’s role as a bridge—between disciplines, between theory and practice, and between local realities and global insights—has never been more essential.

Call for Papers: Accountable and Inclusive Digital Ecosystems for Public Value Creation — dg.o 2026

Anastasija Nikiforova Leave a comment

Call for Papers is now open for our track “Accountable and Inclusive Digital Ecosystems for Public Value Creation” at the 27th Annual International Conference on Digital Government Research (dg.o 2026). The conference will take place June 2–5, 2026, at the University of Nebraska at Omaha, USA.

This track continues and expands the work we initiated in 2024 and 2025 on public and open data ecosystems. Responding to new technological and societal realities, we broaden the focus this year toward AI-enabled, interoperable, sustainable, and human-centered digital ecosystems—their design, governance, and impact on public value creation.

Why this track? Why now?

Digital ecosystems are undergoing profound transformation. Emerging technologies—AI (including generative AI), interoperable data spaces, IoT, cloud–edge infrastructures, and new governance frameworks—now form the backbone of digital public action. These technologies unlock unprecedented opportunities for insight generation, collaboration, transparency, and service co-creation across sectors.

Yet they also introduce new challenges: ethics, accountability, trust, digital literacy, and inclusion. As governments and organizations navigate this shift, we need research that bridges technical innovation, institutional capacity, and societal expectations.

Our track provides a space for this conversation.

What the track explores

We invite contributions that examine the conceptual, technical, institutional, and societal dimensions of digital and data ecosystems, with an emphasis on accountability, sustainability, inclusivity, and public value.

Topics of interest include (but are not limited to):

  • Ethical and accountable AI, data governance, algorithmic transparency, privacy, security
  • Interoperability and trust frameworks, identity infrastructures, standards, reference architectures
  • AI, Generative AI, LLMs, NLP, IoT/cloud/edge integration, green computing, Metaverse applications
  • Human–AI interaction, explainability, accessibility, inclusion in digital public services
  • Stakeholder engagement, empowerment, co-creation, digital literacy, data sovereignty
  • Institutional and organizational mechanisms for ecosystem governance and sustainable management
  • Open, public, and cross-sector data ecosystems, including data spaces and platform ecosystems
  • Social, economic, and environmental sustainability and other public value dimensions
  • Case studies from cities, communities, public-sector organizations, and multi-stakeholder collaborations
  • Impact assessments of digital ecosystems on individuals, organizations, and society

Connection to the dg.o 2026 theme

The conference theme—Collaborative Digital Transformation for Public Value Creation—aligns perfectly with our track’s purpose.
Digital ecosystems represent socio-technical infrastructures where governance, technology, and societal needs intersect. Understanding how to make these ecosystems accountable, inclusive, and sustainable is essential for collaborative digital transformation and for delivering tangible societal outcomes.

Track chairs

  • Anastasija Nikiforova, University of Tartu (Estonia)
  • Anthony Simonofski, Université de Namur (Belgium)
  • Anneke Zuiderwijk – van Eijk, Delft University of Technology (Netherlands)
  • Manuel Pedro Rodríguez Bolívar, Universidad de Granada (Spain)

Together, we bring perspectives from digital government, data governance, public administration, information systems, and socio-technical ecosystem design.

Submission details

Full CFP and submission guidelines are available here:
🔗 https://dgsociety.org/dgo-2026/

We look forward to receiving your submissions and to advancing the conversation on how accountable, inclusive, and sustainable digital ecosystems can drive the next generation of public value creation.

If you have questions about fit or ideas you’d like to discuss, feel free to reach out.

The Evolution of Public Data Ecosystems: Our new GIQ paper

Anastasija Nikiforova Leave a comment

Our new paper, “Theorizing the evolution of public data ecosystems: An empirically grounded multi-generational model and future research agenda”, has been published in Government Information Quarterly. This publication marks the conclusion of a long-running research journey—one so rich that it produced four papers along the way—and brings together years of reflection on how public data systems emerge, evolve, and transform.

Several months ago, in my invited blogpost for Data Studies (“In Open Data We Trust? Busting the Myth, Rethinking Value in the Age of GenAI”), I reflected on the promises and limitations of open data. Despite its early optimism and democratic ideals, open data has produced uneven results in practice. This tension reinforced what I had been observing for years: open data alone is no longer sufficient. Instead, what increasingly matters is the broader, more adaptive configuration of Public Data Ecosystems (PDEs)—dynamic, evolving socio-technical systems shaped by institutions, technologies, infrastructures, actors, risks, and societal needs. That earlier blogpost unexpectedly provided the final spark of motivation to bring this paper across the finish line.

Why Public Data Ecosystems?

PDEs extend far beyond traditional open government data. They include geospatial data infrastructures, IoT-driven ecosystems, domain-specific environments, and federated data spaces with varying access models (see typology of PDEs in figure below and this piece). What binds them is not openness but their co-evolution—the way actors, data types, governance models, and technologies reshape each other over time.

This has become particularly salient with the rise of AI, generative AI, and large language models. These technologies challenge existing assumptions about data availability, quality, reuse, and governance. PDEs are no longer static infrastructures – they are living systems, with the above being now not only mere components but active actors who shape these systems.

In this study, we:

  • theorize PDEs as multi-generational, evolving socio-technical systems, shaped by institutional, technological, and contextual dynamics;
  • refine the Evolutionary Model of PDEs (EMPDE) using empirical evidence from five European countries;
  • introduce new attributes that capture overlooked dynamics and emerging realities;
  • describe the rise of a sixth, forward-looking generation propelled by emerging technologies—including AI, LLMs, and other data-driven innovations;
  • propose a research agenda with 17 directions to guide the development of sustainable, resilient, and intelligent PDEs.

Rather than validating the original EMPDE model that we proposed earlier (see this and this pieces), we treated it as a heuristic tool—an analytical lens—to explore how PDEs actually evolve in practice. This approach allowed us to identify theoretical gaps, generational ambiguities, and emerging patterns that refine the model’s structure. This helped us to reveal several important shifts:

  • PDE evolution is not strictly linear; some countries move fluidly across “generations”;
  • emerging technologies are reshaping governance logics faster than institutions can adapt;
  • new attributes—such as ecosystem intelligence, risk-mediated openness, or cross-domain interoperability—are now essential;
  • the sixth generation represents a paradigm shift, in which AI not only consumes data but co-determines which data becomes valuable, usable, and governable.

Understanding PDEs as evolving systems has implications for:

  • policy makers, who must govern increasingly complex data landscapes;
  • public sector organizations, whose operations increasingly depend on cross-domain data flows;
  • researchers, who need frameworks that capture temporal, socio-technical, and institutional dynamics;
  • technology developers, who must navigate the interplay between AI capabilities and data governance constraints.

The refined EMPDE model and the proposed research agenda aim to support these communities in building sustainable, resilient, and intelligent data ecosystems—ones capable of adapting to rapid technological and societal change.

This paper is the result of a our -now already long enough- collaboration with Martin Lněnička, Mariusz Luterek, Petar Milic, and Manuel Pedro Rodríguez Bolívar. Special thanks to Marijn Janssen, whose editorial guidance and sharp comments significantly improved the paper.

And sincere thanks to Aleksi Aaltonen and Marta Stelmaszak Rosa, whose invitation to write the Data Studies blogpost provided the unexpected inspiration to finalize this study.

Read more

If you’re interested in PDEs, data governance, AI, or socio-technical systems, I’d love to hear your thoughts. This area is evolving quickly—and so are the ecosystems we rely on.

Green-Aware AI 2025 Workshop at ECAI2025

Anastasija Nikiforova Leave a comment

Join us – Riccardo Cantini, Luca Ferragina, Davide Mario Longo, Anastasija Nikiforova, Simona Nisticò, Francesco Scarcello, Reza Shahbazian, Dipanwita Thakur, Irina Trubitsyna, Giovanna Varricchio (University of Calabria & University of Tartu) – at the 2nd Workshop on Green-Aware Artificial Intelligence (Green-Aware AI 2025) to take place conjunction with the 28th European Conference on Artificial Intelligence (ECAI2025) in Bologna, Italy, October 25-30 to examine the sustainability challenges posed by widespread adoption of AI systems, particularly those powered by increasingly complex models, pushing toward responsible AI development and provide a timely response.

The widespread adoption of AI systems, particularly those powered by increasingly complex models, necessitates a critical examination of the sustainability challenges posed by this technological revolution. The call for green awareness in AI extends beyond energy efficiency—it encompasses the integration of sustainability principles into system design, theoretical modeling, and real-world applications.

Green-aware AI requires a multidisciplinary effort to ensure sustainability in its fullest sense, that is, where the green dimension is interpreted broadly, fostering the creation of inherently green-aware AI systems aligned with human-centered values. These systems should uphold sustainability principles such as transparency, accountability, safety, robustness, reliability, non-discrimination, eco-friendliness, interpretability, and fairness—principles reflected in the 17 Sustainable Development Goals (SDGs) defined by the United Nations. The ethical and sustainable advancement of AI systems faces diverse challenges across every stage, including architectural and framework design, algorithm conceptualization, user interaction, data collection, and deployment. This involves designing tools that are inherently green-aware or introducing mechanisms, such as incentives, to encourage agents in AI systems to adopt green-aware behaviors. This principle can be applied across various domains of AI, including but not limited to Algorithm Design, Fairness, Ethics, Game Theory and Economic Paradigms, Machine Learning, Multiagent Systems, and all their applications.

It is worthwhile noting that machine learning systems rank among the most energy-intensive computational applications, significantly impacting the environment through their substantial carbon emissions. Notable examples include the training of large-scale, cutting-edge AI models like those used in ChatGPT and AlphaFold. The creation of such systems demands vast resources, including high-performance computing infrastructure, extensive datasets, and specialized expertise. These requirements create barriers to the democratization of AI, limiting access to large organizations or well-funded entities while excluding smaller businesses, under-resourced institutions, and individuals. The lack of interpretability in AI systems further exacerbates these challenges, raising significant concerns about trustworthiness, accountability, and reliability. Such systems often function as black boxes, making it difficult to understand their underlying decision-making processes. This opaqueness can erode public trust and create barriers to holding developers accountable for harmful outcomes. Additionally, AI systems are prone to biases embedded in their training data and reinforced through user interactions, perpetuating discrimination and unfair treatment, disproportionately affecting marginalized and underrepresented groups.

By addressing these pressing challenges, the workshop aligns with the global push toward responsible AI development and provides a timely response to the environmental and social implications of AI technologies. The primary goal of this workshop is to foster discussions among scholars from diverse disciplines, facilitating the integration of technological advancements with environmental responsibility to drive progress toward a sustainable future. As such Green-Aware AI 2025 invites contributions around the following topics of interest (not limited to thm exclusively though):
💡Green-aware AI frameworks and applications;
💡AI methodologies for energy-efficient computing;
💡Human-centered and ethical AI design;
💡Reliable, transparent, interpretable, and explainable AI;
💡Trustworthy AI for resilient and adaptive systems;
💡Fairness in machine learning models and applications;
💡Impact of AI on underrepresented communities, bias mitigation, and exclusion studies (datasets and benchmarks);
💡Theoretical analysis of energy efficiency in AI systems;
💡Green and sustainable AI applications in environmental and social sciences, healthcare, smart cities, education, finance, and law;
💡Compression techniques and energy-aware training strategies for language models;
💡Approximate computing and efficient on-device learning;
💡Green-oriented models in game theory, economics, and computational social choice;
💡Green-awareness in multi-agent systems;
💡Security and privacy concerns in machine learning models.

Stay tuned about keynotes info on whom to come soon!

📆Important dates:
Abstract submission: May 23
Paper submission: May 30
Notification of acceptance: July 25
Camera-ready: July 31

Join us at Green-Aware AI to help facilitating the integration of technological advancements with environmental responsibility to drive progress toward a sustainable future.

Workshop is supported by the Future AI Research (FAIR), the Italian Ministry of Education, Universities and Research and Italia Domani.