As the year comes to an end, so does the 45th edition of the International Conference on Information Systems (ICIS2024) —a conference filled with presentations, countless chats with old colleagues and friends and meeting new ones, and a tons of emotions coming from a warm Bangkok 🇹🇭
This year the conference held under theme “Digital Platforms for Emerging Societies” aimed at examining the expansive role of information technology in driving economic and societal transformation across the globe. Over 1.7K participants from 49 countries attended ICIS2024 this year, incl. Estonia 🇪🇪 – the only country of the Baltics – represented by both TalTech (Tallinn University of Technology) and finally University of Tartu (with me trying to bring the name of Latvia 🇱🇻 as well), in total accounting only three people – Mari-Klara Stein, myself and my PhD student – Dimitris Symeonidis, which is, however, a significant increase compared to previous editions, which is smth we – Mari-Klara and myself – are still not too happy about, as we still remain “rarities,” as I’ve been called several times, and will try to change that 👩🔬
The conference started for me with pre-ICIS Symposium SIGDSA (Special Interest Group on Decision Support and Analytics), which this year run under the “Emerging AI Platforms for Societal Good” theme, which was an action-packed day featuring a keynote by Apirak Kosayodhin (Former Governor of Bangkok), followed by a panel on the role of AI across society, business & academia, with Ofir T., discussing whether Artificial Intelligence, and GenAI in particular, is a “friend or foe” reflecting on our evolving attitudes toward it (through the lenses of other phenomenon, incl. dogs & how our attitudes towards them changed over centuries), Borworn Papasratorn addressing challenges of diffusing & adopting AI in Thai Higher Education Institutions, Kriengkrai Boonlert-U-Thai discussing the role of information technology in driving economic & societal transformation, moderated by Ramesh Sharda.
And as a follow-up to this, the paper of my former master student Jan-Erik Kalmus – “Generative AI adoption in higher education: exploring educator resistance in Estonian universities” was presented. In this study, Jan-Erik examined educator resistance to student use of GenAI in higher education focusing on Estonia, known as a “digital nation”, employing a theoretical model informed by the Innovation Resistance Theory (IRT) that we introduced in previous study presented at ECAI (on which I posted earlier).
It was continued with 7 hours of vibrant dialogue on digital government research as part of the pre-ICIS workshop on eGovernment, including: ✅the first ever study results of my 1st year PhD student – Dimitris Symeonidis – presented (“Reimagining Digital Government: a step towards Blockchain-Enabled Public Data Ecosystems”) ✅a concept of what we call Data Satellites introduced by Asif Gill as part of our “Towards a Data Satellite Architecture for Digital Government Ecosystems” study, in which we call for a data observability level missing in the current data ecosystems, thereby providing zero opportunities to get rid off or at least be informed about dark and toxic data (while the concept name might evolve based on community feedback, whereas happy that the concept itself found an acceptance with community, what we hoped for) ✅and 5 more super interesting studies by colleagues exploring digital transformation, AI in public administration (incl. framework to determine when AI is truly needed (i.e., smth close to the idea of automation as a default and the only in business process redesign – just don’t!), AI literacy, GenAI for citizen engagement), smart cities, and a methodological proposal for a soft digital ecosystem methodology for hybrid cities’ problem design 🎙️all of this masterfully moderated by Rony Medaglia – president of the current SIG-eGov, and tons of discussions around every study and the filed in general, incl. the future plans.
Finally, my first-year PhD student introduced himself to the IS community at probably the most prestigious IS conference, with yet another paper presented at the SIG SVC – AIS Special Interest Group for Services Workshop on Synergizing Service Ecosystems – “Integrating Generative AI with Public Data Ecosystems: Enhancing Decision Making and Efficiency in the Service Industry of the Private Sector”.
All in all, with four papers presented at three ICIS workshops & symposium, this was a very rich week, for which – a heartfelt thanks to the organizers!
The Association for Information Systems (AIS) organized America’s Conference on Information Systems is coming! This year it will be held in Montreal (Canada), running under the general theme of “Intelligent technologies for a better future” and the revised list of (mini-)tracks, where the special attention I invite you to draw to is a new “Sustainable Digital and Data Ecosystems – Navigating the Age of AI” mini-track (chairs: Anastasija Nikiforova, Daniel Staegemann, George Marakas, Martin Lnenicka).
In an increasingly data-driven world, well-designed and managed digital and data ecosystems are critical to strategic innovation and competitive advantage. With the rise of new data architectures, the shift from centralized to decentralized systems, and the integration of artificial intelligence (AI) in data management, these ecosystems are becoming more dynamic, interconnected, and complex.
The growing importance of emerging data architectures such as data lakehouses and data meshes coupled with the emerging technologies of AI, blockchain, cloud computing to name a few, requires us to rethink how we manage, govern, and secure data across these ecosystems. Moreover, AI is no longer a mere component but an active agent/actor in these ecosystems, transforming processes such as data governance, data quality management, and security. Simultaneously, there is a pressing need to address how these systems can remain resilient and sustainable in the face of technological disruption and societal challenges, and how interdisciplinary approaches can provide new insights into managing these digital environments.
This mini-track seeks to explore the evolving nature of these ecosystems and their role in fostering sustainable, resilient, and innovative digital environments.
We encourage research from an ecosystem perspective (grounded in systems theory) that takes a holistic view, as well as more focused studies on specific components such as policies, strategies, interfaces, methodologies, or technologies. Special attention will be paid to the ongoing evolution of these ecosystems, especially their capacity to remain trustworthy, sustainable, and resilient over time.
Potential topics include but are not limited to:
data management and governance in emerging data architectures (data lakehouse, data mesh, etc.), including data governance, data quality management, and security;
the role of AI in data management, including AI-augmented governance, data quality management, and security;
AI-driven resilience and sustainability in digital and data ecosystems, incl. AI-augmentation of data lifecycle- and business- processes;
conceptualization and evolution of digital and data ecosystem components and their interrelationships;
emerging technologies, such as blockchain, cloud computing, sensors etc., shaping the strategic development of digital and data ecosystems;
case studies on the transition from centralized (data warehouse, data lake, data lakehouse) to decentralized data architectures (e.g., data mesh);
human/user factors in digital and data ecosystems (acceptance, interactions, participation etc.);
empirical studies on the sustainability, trustworthiness, and resilience of digital ecosystems;
methodologies and strategies for managing evolving digital ecosystems in different sectors (e.g., finance, healthcare, government / public sector, education).
interdisciplinary approaches to building, managing, and sustaining digital and data ecosystems.
The research and innovation in digital and data ecosystems requires an interdisciplinary approach. Therefore, this track invites papers from various disciplines such as information systems, computer science, management science, data science, decision science, organizational design, policy making, complexity, and behavioral economics, and social science to continue the problematization exploration of concepts, theories, models, and tools for building, managing and sustaining ecosystems. These can be conceptual, design science research, empirical studies, industry and government case studies, and theoretical papers, including literature reviews.
As such, this mini-track will serve as a platform for interdisciplinary dialogue on the critical role of sustainable digital and data ecosystems in driving strategic innovation and competitive advantage. We invite researchers and practitioners alike to share their insights, theoretical perspectives, and empirical findings in this rapidly evolving domain.
This mini-track is part of “Strategic & Competitive Uses of Information and Digital Technologies (SCUIDT)” track (chairs: Jack Becker, Russell Torres, Parisa Aasi, Vess Johnson).
For more information, see AMCIS2025 website (for this (min-)track, navigate to “Strategic & Competitive Uses of Information and Digital Technologies (SCUIDT)” track).
Is your research related to any of the above topics? Then do not wait – submit! 📅📅📅Submissions are due February 28, 2025.
And we are back with the new edition of Data for Policy 2025 Conference, preparation to which are in full swing! And as part of these preparations, we 📣 Call for Special Tracks for Data for Policy 2025 Europe Edition to be submitted by 11 December, 2024, with the conference itself to be held on 12-13 June, 2025, at Leiden University, The Hague, Netherlands!
This time, the Data for Policy 2025 conference will run under the “Twin Transitions in Data and Policy for a Sustainable and Inclusive Future”.
Amidst global challenges, the “twin transition”—encompassing digital and green transformations—has garnered significant attention for its potential to reshape industrial ecosystems and influence social inequalities. However, in the scientific community and policy arena questions have been raised on whether green and digital transitions are mutually compatible or whether one transition can reduce or cancel out the other. Furthermore, we see sustainability as an integrative perspective that includes environmental, social, economical and institutional sustainability.
Both public and private sectors are increasingly aligning their objectives towards digital innovation and sustainable practices 🌍. Governments are developing policies to guide these transitions, ensuring that technological advancements account for sustainability. Concurrently, substantial investments are being funneled into industries poised to drive this twin transition. Data lies at the heart of this transformation, empowering policymakers to monitor progress in real-time, identify emerging trends, and design impactful and targeted strategies. From driving down carbon emissions to closing the digital divide, data-driven insights offer the actionable intelligence needed to tackle complex challenges and pave the way toward a more equitable, sustainable future.
At this nexus, the theme of the European Data for Policy Conference is “Twin transitions in data and policy for a sustainable and inclusive future”, where we will delve into the implications of these transitions for governance, data usage, and policymaking
With CFP to be launched in a month, now, we – Sarah Giest, Bram Klievnik (both local chairs), Leid Zejnilovic, Laura Zoboli, Anastasija Nikiforova – invite proposals for Special Tracks in two categories:
Research/Policy/Practitioner Tracks: These tracks should address how digital and green initiatives work together to overcome global challenges. Proposals should align with the conference theme, “Twin Transitions in Data and Policy for a Sustainable and Inclusive Future”.
Policy/Practitioner Tracks: We invite proposals from those focused on policy and real-world applications, addressing the broader Data for Policy theme.
Proposers are encouraged to consider region-specific challenges alongside the conference theme, which offers a framework but is open to all relevant Data for Policy topics.
Accepted tracks will be part of the wider call for abstracts, full papers and panels, set to be released on 20 December, 2024, with Special Track chairs having the opportunity to propose an associated Special Collection in the Data & Policy journal published by Cambridge University Press & Assessment in due course.
26th Annual International Conference on Digital Government Research (dg.o2025)is coming with continuation of the track we launched the last time – “Sustainable Public and Open Data Ecosystems for inclusive and innovative government” track (chairs: Anastasija Nikiforova (University of Tartu, Estonia), Anthony Simonofski (Université de Namur ASBL, Belgium), Anneke Zuiderwijk (Delft University of Technology, the Netherlands) & Manuel Pedro Rodríguez Bolívar (University of Granada, Spain)).
Briefly about the track… Today, the goal of an actor-centric public data ecosystem that would be sufficiently sustainable, resilient and fair, is defined as an approach capable of representing and keeping in balance the data interests of all actors[1], to bring expected value (both economic, social and environment) became central for public data ecosystems and other types of data infrastructures and data spaces[2] that are based on the concept of openness and data sharing among stakeholders. Public data and open (government) data ecosystems are seen as a political and socio-economic phenomenon that promise to benefit the economy, and increase transparency, efficiency, and quality of public services, including the transformation of government data-driven actions, stimulate public sector innovations in various areas of public life and promote civic engagement[3][4][5]. Having collaborative governance models in place is one of the prerequisites for a resilient and value-adding ecosystem, of which stakeholders are an inevitable element, making it necessary to ensure those ecosystems are stakeholder-oriented. These models are expected to support stakeholders/actors, who, however, may have different characteristics (incl. (open) data literacy and digital literacy), needs / demands and expectations (public sector, private sector, business, citizen) for public value creation and co-creation. Understanding, designing, and maintaining such an ecosystem is further complicated by the fact that both data, service and process quality must be ensured and kept maintained with a limited understanding of how the above are expected to be ensured even alone.
Recent research found that concepts affecting and shaping the ecosystem are: 1) stakeholders / actors and their roles, 2) phases of the data lifecycle, in which a stakeholder participates in the ecosystem, 3) technical and technological infrastructure, 4) generic services and platforms, 5) human capacities and skills of both providers and consumers, 6) smart city domains (thematic categories) as the targeted areas for data reuse, 7) externalities affecting goals, policy, and resources, 8) level of (de)centralization of data sources – development, restrictions, 9) perception of importance and support from public officials, and 10) user interface, user experience, and usability[6]. Moreover, these ecosystems same as its components are (co-)evolving over time[7] due to both internal and external factors. The latter – external factors – include technological developments. As such, the rapid development of emerging technologies such as big data, artificial intelligence (AI) is seen as a new trigger for public and open data development (AI for open data and open data for AI), machine learning (ML), federated learning (FL), internet of things (IoT), metaverse etc. provides new opportunities to improve these ecosystems in a disrupt way to be useful for collaborative governance models. Also, the link between Open Data Ecosystems and sustainable development goals (SDG) seems to be more relevant nowadays in their way to build more democratic cities based on government transparency, citizen participation, and citizen cooperation. Finally, higher expectations, needs and demands of businesses and citizens, derived from the implementation of B2G, C2G models, that influence and shape the design and development of these data environments, as well as expected to be affected, e.g., B2G in relation to which European Commission is taking regulatory action and is preparing the Data Act to set the rules and conditions, thereby changing the current voluntary model to a more mandatory data sharing. Current research suggests that these topics are of great importance to governments, as well as businesses and citizens, whose efforts should complement each other in order to enable effective data reuse and value co-creation
As such, as public and open data ecosystems promise the transformation of government data-driven actions, the fostering of public sector innovations and the collaborative smartification of cities, society and life, triggering value-adding sustainable development goals-compliant smart living and Society 5.0. New research is needed to help public managers and politicians for (1) implementing emerging technologies and technological innovations, (2) improving the achievement of sustainable development goals for increasing transparency, participation, and cooperation, and (3) meeting the stakeholders’ expectations, needs, regulations and demands.
As such, this track welcomes contributions covering, but not limited to:
The concepts of theoretical approaches toward Public Data ecosystems, Open Data ecosystems, Data Spaces, and Data Marketplaces;
Infrastructures supporting Public and Open Data Ecosystems;
The role of emerging technologies in Public and Open Data ecosystems (incl. but not limited to AI, Generative AI, LLM, NLP, cloud computing, green computing, Metaverse etc.);
Data architectures and data governance mechanisms;
Institutional aspects of implementing sustainable Public and Open Data Ecosystems;
Other sustainability dimensions of Public and Open Data Ecosystems;
Stakeholder-centric dimensions of Public and Open Data Ecosystems;
Human-Computer Interaction between users and systems (platforms);
Case studies of Public and Open Data Ecosystems, incl. but not limited to Local Government Level Data Ecosystems, e.g., Smart Cities Data Ecosystems;
The impact of Public and Open Data Ecosystems on Individuals, Organizations and Society.
The track welcomes both contributions covering the current state-of-the-art of public data ecosystems (what components constitute them, what are the relationships between these components, what makes an ecosystem resilient and sustainable), incl. individual case studies reflecting best or bad practices, as well as those addressing how these ecosystems can be transformed into more sustainable ecosystems that will “fuel” or “smartify” society (Information Society aka Society 4.0 to Super Smart Society aka Society 5.0 transition), cities and various areas of life.
The track is very aligned with the conference theme of DGO 2025, namely: Digital government fostering social cohesion for reducing inequalities. As mentioned in the theme description, “It focuses on strong social bonds in civic society, with responsive democracy and impartial law enforcement aiming at collaboratively addressing latent social conflicts. It involves building shared values in communities facing common challenges in an attempt to reduce disparities by increasing citizens’ feeling of belonging to a community and their engagement.” Public and open data ecosystems can be considered as environments that contribute to the above. Open data is aimed at reducing inequalities, open platforms constitute environments where data providers and data users find each other and collaborate and co-create to develop services and products useful for society, i.e., addressing their needs and tackling challenges society faces. While digital technologies enable the development of public and open data ecosystems, the adoption of such ecosystems has been fragmented. For instance, Van Loenen et al. (2021)[8] found that open data ecosystems “often do not balance open data supply and demand, exclude specific user groups and domains, are linear, and lack skill-training” (p. 2), which reduces their value-generation and sustainability.
Is your research related to any of the above topics? Then do not wait – submit!
🗓️🗓️🗓️Important Dates:
January 24, 2025: Papers, workshops, tutorials, and panels are due March 26, 2025: Author notifications (papers, workshops, tutorials, panels)
[1] Calzati, S., & van Loenen, B. (2023). A fourth way to the digital transformation: The data republic as a fair data ecosystem. Data & Policy, 5, e21.
[2] Lnenicka, M., Nikiforova, A., Luterek, M., Milic, P., Rudmark, D., Neumaier, S., … & Rodríguez Bolívar, M. P. (2023). Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystems. Available at SSRN 4831881.
[3] Nikiforova, A., Rizun, N., Ciesielska, M., Alexopoulos, C., Miletič, A.(2023). Towards High-Value Datasets determination for data-driven development: a systematic literature review. In: Lindgren,I., Csáki, C., Kalampokis, E., Janssen, M.,, Viale Pereira,G.,Virkar, S., Tambouris, E., Zuiderwijk, A.Electronic Government. EGOV 2023. Lecture Notes in Computer Science. Springer, Cham
[4] Kassen, M. (2020). Open data and its peers: understanding promising harbingers from Nordic Europe. Aslib Journal of Information Management, 72(5), 765-785.
[5] Santos-Hermosa, G., Quarati, A., Loría-Soriano, E., & Raffaghelli, J. E. (2023). Why Does Open Data Get Underused? A Focus on the Role of (Open) Data Literacy. In Data Cultures in Higher Education: Emergent Practices and the Challenge Ahead (pp. 145-177). Cham: Springer International Publishing.
[6] Lnenicka, M., Nikiforova, A., Luterek, M., Azeroual, O., Ukpabi, D., Valtenbergs, V., & Machova, R. (2022). Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities. Sustainable Cities and Society, 82, 103906.
[7] Nikiforova, A., Lnenicka, M., Milić, P., Luterek, M., & Rodríguez Bolívar, M. P. (2024, August). From the evolution of public data ecosystems to the evolving horizons of the forward-looking intelligent public data ecosystem empowered by emerging technologies. In International Conference on Electronic Government (pp. 402-418). Cham: Springer Nature Switzerland.
[8] Loenen, B. van, Zuiderwijk, A., Vancauwenberghe, G., Lopez-Pellicer, F. J., Mulder, I., Alexopoulos, C., … & Flores, C. C. (2021). Towards value-creating and sustainable open data ecosystems: A comparative case study and a research agenda. JeDEM-eJournal of eDemocracy and Open Government, 13(2), 1-27.
This October, I had an opportunity to participate in the panel on Trust in AI that took place as part of Digital Life Norway conference organized by Centre for Digital Life Norway (Norwegian University of Science and Technology (NTNU)) that took place in a very peaceful Hurdal (Norway) 🇳🇴🇳🇴🇳🇴.
As part of this panel, together with M. Nicolas Cruz B. (KIWI-biolab), Korbinian Bösl (ELIXIR, both of us being also part of EOSC Association)), and Anamika Chatterjee (Norwegian University of Science and Technology (NTNU)), who masterly chaired this discussion, we discussed trust in AI and data (as an integral part of it), emphasizing the need for transparency, reproducibility, and responsibility in managing them.
What made this discussion to be rather insightful – for ourselves, and, hopefully, for the audience as well – is that each of us represented a distinct stage in the data lifecycle debated upon the aspect of trust and where concerns arise as data moves from the lab to inform AI tools [in biotechnology]. As such we: ✅highlighted the interconnectedness of human actors involved in data production, governance, and application; ✅highlighted the importance of proper documentation to make data usable and trustworthy, along with the need for transparency – not only for data but also for AI in general, incl. explainable AI; ✅discussed how responsibility becomes blurred as AI-driven methodologies become more prevalent, agreeing that responsibility for AI systems must be shared across teams. Lastly, despite being openness advocate, I used this opportunity to touch on the risks of open data, including the potential for misuse and ethical concerns, esp. when it comes to medical- and biotechnologies-related topics.
All in all, although rather short discussion with some more things we would love to cover but were forced to omit this time, but very lively and insightful. Sounds interesting? Watch the video, incl. keynote by Nico Cruz 👇.
And not of least interest was a diverse set of other events – keynotes, panels, posters etc. – takeaways from which to take back home (not really to home, as from the DNL, I went to the Estonian Open Data Forum, from which to ECAI, and then, finally back home to digest all the insights), where “Storytelling: is controversy good? How to pitch your research to a non-academic audience” by Kam Sripada and panel on supervision are probably the main things I take with me.
Many thanks go organizers for having me and the hospitality, where the later also goes to Hurdal 🇳🇴 in general, as we were lucky enough to have a very sunny weather, which made this very first trip to Norway – and, hopefully, not the last one – very pleasant!
Anastasija Nikiforova, PhD 