Wrapping up 2022

While 2022 can be characterized by many challenges that each and every person and society as a whole faced, at the end of this year, I would like to refer to only the positive things it has brought me, for which I am exceptionally grateful! This year has been really full of very different events and experiences, so it is great to take a second and realize what has happened so far – in such a dynamic world, it is sometimes difficult to keep track of everything that has happened in a certain period of time, so it is worthwhile doing it for yourself!

Image source: CBC news

Probably the first thing that comes in mind is a big change that took place in my life, i.e. the fact that this year I joined University of Tartu (Faculty of Science and Technology, Institute of Computer Science, Chair of Software Engineering)) as an assistant professor of Information Systems.

At the same time, I had a great experience of acting as a visiting researcher at the Delft University of Technology, Faculty of Technology, Policy and Management. This was a 6-months long research “visit”, which due to COVID-19 pandemic, however, took place online, although I still got a nice experience, including communication with many TU Delft colleagues, including discussions that we established during my participation in a monthly ICT colloquium, one of which was dedicated to my research. During this research visit, together with my esteemed colleague Anneke Zuiderwijk we launched a study in which we revisit the barriers associated with the publication of government data as OGD by public agencies, not only because it is a dynamic topic, where factors related to the intent and resistance to this tend to change, but also because the pandemic has changed views on the value and usefulness of the OGD, with the reference to both perspective – provision and usage. Thus, we believe that these factors have changed. Considering the role of the OGD in the current society, we decided not to use almost “traditional” models such as TAM, UTAT, TOE etc., but to refer to another theory not previously used in e-government area, namely the Innovation Resistance Theory (IRT), which, however, has proved to be very useful in the field of business and management (though not only this discipline). Thus, the objective of this research is twofold – to test the appropriateness/ validity of this theory for the OGD and e-gov domains, as well as to revisit the barriers to publishing government data as an OGD, also checking whether COVID-19 has changed the state of affairs in this regard significantly. So far we have come up with the OGD-adapted IRT model, which we presented at ICEGOV2022, which was recognized as one of three best papers, nominated for best paper awards, which was an amazing conclusion to my “visit” to TU Delft. The study, however, continues even after the end of this visit.

To improve my skills and knowledge in areas of interest to me, this year I also attended two Summer Schools – 6th International Summer School on the Deep Learning called DeepLearn 2022, and the 9th International Summer School On Open and Collaborative Governance that took place in conjunction with the 12th Samos 2022 Summit on ICT-Enabled Governance.

But, of course, I tried not only to acquire and develop new knowledge and skills, but also to share them with others, including both my students, colleagues, students of my foreign colleagues, pupils, school teachers, industry and others. In addition, I was honored to participate in several events, acting as both the keynote, panelist, invited speaker, expert, guest of honor, and as a regular speaker discussing the hot topics, and presenting my own works. All in all, it was a busy and eventful year.

Even more, my work results were recognized and awarded several times this year – I was named and awarded as best moderator of Research and Innovation Forum 2022, got nominated for the best paper award of ICEGOV2022 15th International Conference on Theory and Practice of Electronic Governance, and got the best paper award of KMIS2022 14th International Conference on Knowledge Management and Information Systems in conjunction with the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K).

I also was invited to join Editorial Board of several journals and was pleased to accept their kind invitation. All in all, starting with this year I am an Editorial Board member of eJournal of eDemocracy and Open Government (JeDEM), Area Editor of “Focus on Data-driven Transformations in Policy and Governance” for Data & Policy (Cambridge University Press), Politics of Technology section of Frontiers in Political Science. In addition, I served as an organizing and program committee for several conferences, acting as general co-chair for EGETC – Electronic Governance with Emerging Technologies Conference, part of organizing team for Data for Policy 2022 devoted to ecosystem of innovation and virtual-physical interaction, publicity chair for IDSTA – International Conference on Intelligent Data Science Technologies and Applications and MegaData International Workshop on Advanced Data Systems Management, Engineering, and Analytics as part of IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID2023), session chair for KMIS (sessions “Big Data and Analytics” and “Knowledge management Strategies and Implementations”), IDSTA, and panel moderator for RiiForum – Research and Innovation Forum 2022, when for moderating the “Business in the era of pervasive digitalization” panel, I was awarded with the best panel moderator award.

Another activity that is closely related to the topic I am proud of, is the series of workshops I launched together with my colleagues devoted to the identification of determinants for identifying High-value Datasets titled “Identification of high-value dataset determinants: is there a silver bullet?“. The idea of referring to this topic came to my mind a long time ago, when the VARAM ministry of Latvia responsible for the OGD initiative and development and maintaining the OGD portal reached me first as one of people who could contribute to prioritization of the datasets to be potentially opened, and later with the reference to the concept of HVD. After conducting an analysis for Latvia, I decided to refer to this topic from a more scientific point of view, and now we have already two editions of the workshop in the pocket – one that took place during ICEGOV2022, and another one – as part of ICOD2022, where we managed to have interactive sessions with ~40 open data researchers and/or experts and brainstorm on this topic (read more).

As regards the role of PC member, I was honored to be invited to become such for several conferences, including: EGOV2022 – IFIP EGOV-CeDEM-EPART 2022 in conjunction with 23rd Annual International Conference on Digital Government Research”, Data for Policy 2022, ADBIS 2022 – 26th European Conference on Advances in Databases and Information Systems (Workshop on Advances Data Systems Management, Engineering, and Analytics), EGETC2022 – Electronic Governance with Emerging Technologies Conference, ICT2022 – International Conference on ICT, Society and Human Beings as part of the Multi Conference on Computer Science and Information Systems (MCCSIS2022), IHCI2022 – International Conference on Interfaces and Human Computer Interaction” also part of MCCSIS2022, IDSTA2022 – The International Conference on Intelligent Data Science Technologies and Applications, iLRN2022 – The International Conference of the Immersive Learning Research Network, RiiForum2022 – Research and Innovation Forum 2022, FedCSIS2022 / ISM2022 – Conference on Information Systems Management as part of the Conference on Computer Science and Intelligence Systems, ESWC2022 International Workshop on Knowledge Graph Generation from Text (Text2KG) co-located with the Extended Semantic Web Conference, KGSWC2022 – Iberoamerican Knowledge Graph and Semantic Web. In addition, I try my best to find time for reviewing journal articles in top-level journals, when I am invited as an external reviewer. Although these activities take time, but those who are also doing this will definitely confirm that this is an exceptional opportunity to be used not only to provide the colleagues with an external view on the article and suggest how it could be improved, but also identify best-practices in writing and presenting ideas, identifying how your own works can be improved by either following these practices or avoiding them. Thus, I value these opportunities very much and try to find time to devote myself to this, particularly, if I understand that my input – review can be of value for authors. Here, at least a few journals that definitely deserved my gratitude are Technological Forecasting and Social Change, Government Information Quarterly, Technology in Society (Elsevier), Digital Policy, Regulation and Governance, Transforming Government: People, Process and Policy, Information and Learning Sciences, Online Information Review (Emerald), Scientific Data (Springer Nature), eJournal of eDemocracy and Open Government (JeDEM), International Journal of Human-Computer Interaction (IJHC), but actually all of those, where I contributed 🙂

And since I referred to both journals and conferences I was related to this year, it is the time to refer to my own contributions, i.e. some quantitative indicators.

This year 23 articles, including 3 book chapters, one extended abstract and one whitepaper were published, authored by me together with my colleagues, while some of them even with my students (some of them will be officially published in 2023, same as a few were written in 2021). 10 of them are journal articles, one – whitepaper published by European Commission, and 9 – conference papers:

The first study listed above, i.e. Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities” (Lnenicka, Nikiforova, Luterek, Azeroual, Dandison, Valtenbergs, Machova) was noticed by the Living Library that seeks to provide actionable knowledge on governance innovation, informing and inspiring policymakers, practitioners, technologists, and researchers working at the intersection of governance, innovation, and technology in a timely, digestible and comprehensive manner, identifying the “signal in the noise” by curating research, best practices, points of view, new tools, and developments… Proud to see our joint article there (read more…)

Similarly, The Open Data Institute hosted micro-site on the exploration of the future of data portals and citizen engagement (led by Rachel Wilson, in collaboration with ODI Associate Consultant Tim Davies) publishes a series of very insightful posts reflecting on the most prospective studies to take stock of the state of portals, and explore possible futures, where two of them reflect on my previous studies, namely Transparency-by-design: What is the role of open data portals? (Lnenicka, M. and Nikiforova, A. 2021, Telematics and Informatics 61), Open government data portal usability: A user-centred usability analysis of 41 open government data portals (Nikiforova & McBride, Telematics and Informatics), Benchmarking open data efforts through indices and rankings: Assessing development and contexts of use (Lnenicka, Luterek & Nikiforova, Telematics and Informatics), Timeliness of Open Data in Open Government Data Portals Through Pandemic-related Data: A long data way from the publisher to the user (Nikiforova, 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA))! (read more#1…) (read more#2…)

This year I participated in 10 international conferences, where 9 papers (co-)authored by me were presented, with 2 conferences, where I chaired my (co-)organized workshops, with another conference, where I acted as a keynote speaker, and some more other events of more national and/or regional nature. Some of them are:

From the above, let me emphasize one event, which was very specific for me since it was my first experience as a panelist, especially in such a “crowded” event (due to a very high rate of the attendance) – ONE Conference 2022 (Health, Environment, Society), which took place between June 21 and 24, Brussels, Belgium. It was co-organised by European Food Safety Authority (EFSA) and its European sister agencies European Environment Agency, European Medicines Agency, European Chemicals Agency, European Centre for Disease Prevention and Control (ECDC), but if you are an active follower of my blog, you know this already (I posted about this event previously). As a person representing not only academia, but also EOSC (European Open Science Cloud) and dealing with the topics of data quality and open data, I was invited to serves as a panelist of the “ONE society” thematic track, panel discussion “Turning open science into practice: causality as a showcase”. It was a very nice experience and opportunity for sharing our experience on obstacles, benefits and the feasibility of adopting open science approaches, and elaborate on the following questions (although they were more but these one are my favorites): Can the use of open science increase trust to regulatory science? Or does it increase the risk to lose focus, introduce conflicting interests and, thus, threaten reputation? What are the barriers to make open science viable in support to the scientific assessment process carried out by public organizations? What are the tools/ methods available enabling, supporting and sustaining long term open science initiatives today and what could be envisaged for the future? Do we need a governance to handle open data in support to scientific assessment processes carried out by regulatory science bodies? How the data coming from different sources can be harmonized making it appropriate for further use and combination?

And as a follow-up for this event, I was kindly invited by EFSA to contribute to setting the scene on the concept of ‘standards for data exchange’, ‘standards for data content’ and ‘standards for data generation’ as part of European Food Safety Authority (EFSA) and Evidence-Based Toxicology Collaboration (EBTC) ongoing project on the creation of a standard for data exchange in support of automation of Systematic Review (as the answer to the call made in “Roadmap for actions on artificial intelligence for evidence management in risk assessment”). It was really nice to know that what we are doing in EOSC Association (Task Force “FAIR metrics and data quality”) is of interest for our colleagues from EFSA and EBTC. Also, it was super nice to listen other points of view and get involved in the discussion with other speakers and organisers and I am looking forward the first draft expected to be ready by the end of this year.

Since this is so much about the open science, as well as I already mentioned EOSC, probably it is worthwhile to mention that we just got published our – EOSC Task Force on FAIR Metrics and Data Quality whitepaper “Community-driven Governance of FAIRness Assessment: An Open Issue, an Open Discussion” (Mark D. Wilkinson; Susanna-Assunta Sansone; Eva Méndez; Romain David; Richard Dennis; David Hecker; Mari Kleemola; Carlo Lacagnina; Anastasija Nikiforova; Leyla Jael Castro), which is published by European Commission, of course, in an open access, here. In it we emphasize that although FAIR Research Data Principles are targeted at and implemented by different communities, research disciplines, and research stakeholders (data stewards, curators, etc.), there is no conclusive way to determine the level of FAIRness intended or required to make research artefacts (including, but not limited to, research data) Findable, Accessible, Interoperable, and Reusable. The FAIR Principles cover all types of digital objects, metadata, and infrastructures. However, they focus their narrative on data features that support their reusability. FAIR defines principles, not standards, and therefore they do not propose a mechanism to achieve the behaviours they describe in an attempt to be technology/implementation neutral. A range of FAIR assessment metrics and tools have been designed that measure FAIRness. Unfortunately, the same digital objects assessed by different tools often exhibit widely different outcomes because of these independent interpretations of FAIR. This results in confusion among the publishers, the funders, and the users of digital research objects. Moreover, in the absence of a standard and transparent definition of what constitutes FAIR behaviours, there is a temptation to define existing approaches as being FAIR-compliant rather than having FAIR define the expected behaviours. This whitepaper identifies three high-level stakeholder categories -FAIR decision and policymakers, FAIR custodians, and FAIR practitioners – and provides examples outlining specific stakeholders’ (hypothetical but anticipated) needs. It also examines possible models for governance based on the existing peer efforts, standardisation bodies, and other ways to acknowledge specifications and potential benefits. This whitepaper can serve as a starting point to foster an open discussion around FAIRness governance and the mechanism(s) that could be used to implement it, to be trusted, broadly representative, appropriately scoped, and sustainable. We invite engagement in this conversation, while more detail on both the whitepaper, as well as how to get engaged in this conversation, you can find here.

Here, let me also mention another activity – Guest Lectures, which this year I delivered to students of the Federal University of Technology – Parana (UTFPR, Brazil) and, more precisely so-called PPGEP program – Postgraduate Program in Production Engineering (port. Programa de Pós-Graduação em Engenharia de Produção), and to students of University of South-Eastern Norway (USN) – this was already my second time of delivering a guest lecture for USN. The first lecture was titled “The role of open data in the development of sustainable smart cities and smart society“, in scope of which I was pleasured to raise a discussion on three topics of particular interest – open data, Smart City, and Society 5.0, which are actually very interrelated, while the second – “Open data as a catalyst for collaborative, data-driven smart cities and smart society: what is the key to success?”. Both lectures inspired me a lot since were accompanied with a lively discussion around touched topics, which is always a pleasure for the lecturer.

In addition to some lectures delivered to actual students, some of my talks were delivered to people outside academia as well.

As an example, in February I got yet another experience by participating in a programme launched by Riga TechGirls and supported by Google.org (“Google Impact challenge” grant), in addition to local supporters such as the Ministry of Education and Science of Latvia, the Ministry of Culture, Riga city council (Rīgas Dome), titled “Human on technology” for more than 2000 Latvian teachers with the aim of disrupting technophobia and provide them with digital skills that are “must-have” in this digital world/ era. I have acted as both the lecturer and the lead mentor for the digital development workshop held as a part of the “Information and data literacy” module (read more…)

While the above event was dedicated to adults, another experience was to work with pupils representing Generation Z – this year, although same as in previous years, I have been a mentor of the Latvian Open Data Hackathon and an idea generator for pupils, organized by the Latvian Open Technologies Association with the support of DATI Group, E-Klase, Latvijas Kultūras akadēmija / Latvian Academy of Culture, Vides aizsardzības un reģionālās attīstības ministrija (VARAM)/ Ministry of Environmental Protection and Regional Development of Republic of Latvia and others. This year the main topic of the hackathon was cultural heritage, where within a month, 36 teams from 126 participants from all over Latvia developed their ideas and prototypes, 10 teams reached the final after a round of semi-final presentations of their solutions to us – the mentor team (of course, we worked with the assigned teams in previous weeks as well).  Here, we not only evaluated these ideas, but also provided them with yet another portion of feedback and suggestions for improving the idea or prototype for its further presentation in the final, where the jury will finally decide who the winner is. The participants surprised us (mentors) very much both with the diversity of ideas and in very many times with their technical knowledge and skills (AI, crowdsourcing, gamification to name just a few) – just wow!

In the continuation of the topic of hackathon, I am interested in, researching it a bit as well, I also participated in the Hack the hackathon (Vol. 2) workshop organized by the Flatiron Institute (New York, NY, USA), the purpose of which was to bring together researchers of different disciplines studying hackathons and hackathon practitioners from different communities to meet and discuss the current state of practice and research around hackathons as well as future challenges. I also had the honor of being one of the participants, who was invited to deliver a short talk on practical experience within a topic to be further discussed and brainstormed by all of us, which, obviously, was related to the above topic and was entitled “Gen Z hackathons: digital natives for hackathons or hackathons for digital natives?”. Unfortunately, considering my schedule at that point, when I really needed Time-Turner, I did not managed to dive into this event in the way I wanted to (even considering the opportunity to participate online, which I used), but this was still a very lively event, full of emotions (positive)!

And as I mentioned before, another “set” of activities were related to the industry. Here, there are three events that I enjoyed very much, namely:

  • “Virtual Brown Bag Lunch Talks” intended for the Information Technologies, Manufacturing, and Engineering Employees in Companies associated with Index Manufacturing Association, where I was invited to delivered a talk Data Security as a top priority or what Internet of Things (IoT) Search engines know about you“, which is based on several studies conducted by me before. Probably the most interesting point to be mentioned that this event was intended for Mexican audience, which was definitely something new for me. We had an exceptionally interesting discussion after my talk with representatives of the industry to whom these events are made, and I was super delighted to get so many positive comments, which definitely makes this event something to be in the list;
  • another very interesting “foreign” experience I had is related to the Babu Banarasi Das University (BBDU, Department of Computer Science and Engineering) Development Program «Artificial Intelligence for Sustainable Development» organized by AI Research Centre, Department of Computer Science & Engineering, Babu Banarasi Das University (India), ShodhGuru Research Labs, Soft Computing Research Society, IEEE UP Section, Computational Intelligence Society Chapter, where I was invited to deliver a talk, which I decided to devote to two topics I am interested in, which I titled “Artificial Intelligence for Open Data or Open Data for Artificial Intelligence?”. While previous event was based in Mexico (I participate online, of course), this one was intended for India and Indian representatives from industry interested in advances in the field of Artificial Intelligence, which were more than 130 people. In this talk, I not only provided an insights on both topics, and what can opportunities the combination of these pehnomenons provide us with, but also about the other side of the coin, i.e., this “magic duo” is not always about “unicorns and ice creams“, where the current state-of-the-art suggests that open data my pose also certain risks (read more here);
  • continuing this “journey”, this summer, while participating in a Summer school on e-government I referred to previously, I also had a pleasure to participate in one more exceptionally interested event – Integration of open data and artificial intelligence in the development of smart cities in Africaworkshop organized as part of the African Cities Lab Project conducted by representatives of both academia, industry and government from Morocco, Ghana, Tunisia, South Africa, Rwanda, Benin, Switzerland, where I was invited as a keynote speaker and delivered the talk “Open data and crowdsourced data as enablers and drivers for smart African cities”. Again, after the talk we had an extremely interesting discussion, when the discussion about how to develop the OGD initiative in African cities, where the support for this is very limited, we managed to raise very interesting questions and I came to several new ideas, about which I have never thought before, for which I am very grateful to those participants, who were actively involved in this discussion!
  • but, of course, one local event I enjoyed very much should also be mentioned here –  Data Science Seminar titled When, Why and How? The Importance of Business Intelligence seminar organized by the Institute of Computer Science (University of Tartu) in cooperation with Swedbank, in which the importance of BI with some focus on data quality was discussed. The seminar consisted of four talks, which were followed by a panel moderated by my colleague prof. Marlon Dumas – 2 talks were delivered by representatives of the University of Tartu, where we both decided to focus our talks on data quality. Here I was invited to deliver a talk on one of studies I was recently involved in, and I titled it – “Data Lake or Data Warehouse? Data cleaning or data wrangling? How to ensure the quality of your data?“. Again, the discussions followed after the talk and also a discussion established as part fof the panel we had were both incredibely interesting and allowed us to exchange our ideas, experience and thought on the future development of related concepts, which is probably the best outcome of any event (read more).

This is a short overview of the activities carried out and the events in which I took part this year. As follows from the variety of these events, I met many people (virtually and physically), some of them became my colleagues, others – also friends. All in all, this is also about people. People who support you, people who believe in you, and people who respect you and whom you respect. My wish to myself and all of you is to have only such people around – those who respect you, whom you respect (very much), those who support you, and not only if there is an urgent need for this support, but simply because they want to be there and provide you with their continuous support, those who not only respect your current works and achievements, but those who believe that you can and will definitely be able achieve even more!

And the last thing to say here, of course, is – thank you, 2022 for all those positive things and emotions you brought, and bye! Welcome 2023!!!

AI for Open Data or Open Data for AI? An invited talk for BBDU Development Program «Artificial Intelligence for Sustainable Development»🎤

Recently I was honored to contribute to Babu Banarasi Das University (BBDU, Department of Computer Science and Engineering) Development Program «Artificial Intelligence for Sustainable Development» with the talk entitled “Artificial Intelligence for Open Data or Open Data for Artificial Intelligence?”. More precisely, this series of workshops is organized for the industry, i.e. representatives of industry, who want to get an insight on the current advances in various topic-related areas (AI in the sustainability context) from people representing research and academia, which is organized by AI Research Centre, Department of Computer Science & Engineering, Babu Banarasi Das University (India), ShodhGuru Research Labs, Soft Computing Research Society, IEEE UP Section, Computational Intelligence Society Chapter. My session, for instance, was attended by more than 130 attendees, which I consider to be a very good rate!


Regarding my talk, I was delighted to deliver in the last day of this event, being also a guest of honor for this event, when we speak about “Artificial Intelligence for Open Data or Open Data for Artificial Intelligence?” – in short, not OR but rather AND. In other words, AI for Open Data and Open Data for AI, where open data serves as a valuable asset for AI (of course, if a list of prerequisites is fulfilled), while AI defines new prerequisites for open data we should think of.

At the same time, although their combination is considered to play a transformational role in human society, and especially in prominent areas, as we discussed today, this “magic duo” is not always about “unicorns and ice creams“, where the current state-of-the-art suggests that open data my pose also certain risks.

Probably the most expressive example of such, I referred to, is an example, when based on easily obtainable open data on toxic molecules collected over the years, AI has managed to create 40,000 molecular associations potentially usable as biochemical weapons in just 6 hours. And while not all of them are actually usable, and the need to synthesize them still remains, some associations correspond to known chemical weapons with one even more toxic than the VX nerve gas, identified as a weapon of mass destruction by the United Nations.

So here comes a very interesting dilemma between openness as a philosophy and making data open, and threats it may pose, if used by a malevolent actor.

We also briefly touched a topic of risks associated with AI (although both perspectives of so-called cyber-pessimists and cyber-optimists in this regard were considered), open data, and their combination, along with the long list of benefits they can bring, including their contribution to the sustainability being in line with the general idea of this event.
And, of course, we could not ignore the topic of green AI and a strong need to consider FATE principles (Fairness, Accountability, Transparency & Explainability).

All in all, it was a very nice experience and the audience so curious and passionate of topics elaborated on within this 6-days long event with speakers from both continents Asia, Africa, America and Europe (represented by me! 🤓🤓🤓). Exceptional audience with so relevant questions leading to a lively and fruitful discussion being of interest for both participants and speakers. Glad to be part of it and get this experience!

This is just in a few words, although at some point I plan to extend this post with more details and thoughts.

First paper in my Special Issue “Hybrid Data-Driven and Physical Modelling for Energy-Related Problems: Towards Smarter Energy Management”

As an academic editor of the Special Issue “Hybrid Data-Driven and Physical Modelling for Energy-Related Problems: Towards Smarter Energy Management” (Energies MDPI, Impact Factor:3.004 (2020); 5-Year Impact Factor: 3.085 (2020)), I am glad to announce that the first article has been published!

This very special for me issue belongs to the section “A8: Artificial Intelligence and Smart Energy” and it seeking for the latest research on advances in the field covering both data-related topics and next-generation power electronic techniques and their applications. All papers accepted for their publishing are published in an Open Access, thereby significantly contributing to the visibility of these papers, and are submitted for their indexation in both Scopus and Web of Science in addition to other databases. The journal also falls in Q1 (Cite Score, Control and Optimization).

Topics of interest for this Special Issue include, but are not limited to:

  • energy management systems
  • data-driven approaches to energy-related issues
  • advances in energy analytic, including open data on energy, its benefits, re-uses and impact
  • Big Data management in the context of energy data
  • machine learning (ML) techniques
  • physical modelling for energy-related problems
  • disruptive technology of renewable energy
  • blockchain for Internet of energy management
  • the role of the “energy” within the context of Industry 4.0 and Sustainable Goals
  • energy data management in the context of the internet of things (IoT)
  • energy data management via distributed systems
  • smart grid and microgrid
  • sustainable electrical energy systems
  • hybrid and electric vehicle.

This Special Issue is of articular importance, given that energy-related issues are becoming more and more relevant today, including the topic of disruptive technologies, where renewable energy is referred to as one of the 12 most significant disruptive technologies. The topic is no longer limited to energy production/generation and storage and supply as a source of energy; it is becoming broader, including the close links with the electrification of transport, including electric vehicles (smart and green transportation), industrial automation, energy storage systems, data storage and data management systems. With both being very common, and at the same time disruptive and new, energy-related issues relate to both the adaptation of well-known foundations for recent trends and the optimization of the methods and techniques already used, as well as introducing completely new methods and developing new applications, thereby promoting open innovation and smarter living.

Special Issue “Hybrid Data-Driven and Physical Modelling for Energy-Related Problems: Towards Smarter Energy Management”


The first paper accepted for its publishing in the SI is entitled “Machine Learning Schemes for Anomaly Detection in Solar Power Plants” and is authored by Mariam Ibrahim (German Jordanian University), Ahmad Alsheikh (Deggendorf Institute of Technology), Feras M. Awaysheh (University of Tartu Institute of Computer Science) and Mohammad Dahman Alshehri (Taif University). The paper deals with the anomaly detection in photovoltaic (PV) systems by evaluating the performance of different machine learning schemes – AutoEncoder Long Short-Term Memory (AE-LSTM), Facebook-Prophet, and Isolation Forest – and applying them to detect anomalies on photovoltaic components. These models allow the authors to identify the PV system’s healthy and abnormal actual behaviors. The results provide clear insights to make an informed decision, especially with experimental trade-offs for such a complex solution space. The issue explored is all the more topical considering the rapid industrial growth in solar energy, which gains an increasing interest in renewable power from smart grids and plants.

I am very glad and honored to be an academic editor of both this issue (together with my colleagues from Germany and Greece) and this paper in particular.

Special Issue, Academic Editor

Looking forward further submissions (particular focus on advances in the field covering both data-related topics and next-generation power electronic techniques and their applications)!!!

First International Electronic Governance with Emerging Technologies Conference (EGETC)

As the general co-chair of the First International Conference in Electronic Governance with Emerging Technologies (EGETC-2022), I sincerely invite you to consider your participation as authors and presenters or the attendees in this event.

First International Electronic Governance with Emerging Technologies Conference
First International Electronic Governance with Emerging Technologies Conference

Over the last decade, the importance of emerging technologies in government and public administrations has grown significantly. The growing demand for services that better meet changing user expectations for responsiveness and personalization, coupled with higher expectations of the role of government in the digital age, calls for a technologically mature public sector. There are many new emerging technologies serving as enablers to new forms of governance and novel applications in traditional governance functions, which role has been witnessed across various domains, including healthcare, medicine, education, tourism, and industry etc.. 

The aim of the First International Conference in Electronic Governance with Emerging Technologies (EGETC-2022) is to provide a forum for academics, scholars, and practitioners from academia and industry to share and exchange the recent developments in the domain of eGovernment and governance of digital organizations to shed light on the emerging research trends and their applications. 

Topics of interest include, but not limited to:

  • Intelligent systems for coordination in crisis emergency management
  • Distributed ledgers and Blockchains: governance, decentralized autonomous organizations (DAO)
  • Machine Learning (ML), Artificial Intelligence (AI) and Big Data management for Public Sector
  • Privacy, security and legal Informatics – AI and Law
  • Open Data, Open Government Data: transparency, trust, public participation, co-creation and Open Innovation
  • Digital transformation and Society 5.0
  • Linked Data, Linked Open Data (LOD)
  • Semantic E-government applications
  • Public Sector Knowledge Representation
  • Decision Support Systems (DSS) in Digital Governance
  • Natural Language Processing (NLP)
  • Cloud Computing
  • Bots, Automation agents, Self-learning systems 
  • Cryptocurrencies and incentive mechanism design
  • Multimedia and multilingual systems

It is particularly important that, in order to ensure the widest possible participation of communities, despite the availability of funding, the conference does not foresee any charges. I.e. both authors and presenters, and attendees/ listeners are welcome without registration fees.

First International Electronic Governance with Emerging Technologies  Conference (author: Anastasija Nikiforova)

In addition to the great team of organizers and members of the program committee, which has a rich list of outstanding experts, participants of this event will have an opportunity to enjoy the keynote speeches by Prof. Marijn Janssen – Full Professor in ICT & Governance at TU Delft, Netherlands, Dr. B K Murthy, CEO – Innovation and Technology Foundation, IIT Bhilai, Prof. Luis Martinez – Full Professor, University of Jaén, Jaén Spain. More information on their talk will follow…

Accepted papers presented at the EGETC2022 will be published in the proceeding published by Springer in Lecture Notes in Computer Science series (approval pending…). A short list of best papers will be invited for a post-conference publication in Government Information Quarterly (GIQ), Elsevier, Q1, Cite Score: 11.6, Impact Factor: 7.279 and Technological Forecasting and Social Change, An International Journal, Elsevier, Q1, Cite Score: 12.1, Impact Factor: 8.593.

If you are interested in submitting your paper, add to your calendar the submission date – May 30, while the event will take place during September 12-14, 2022.

Due to the unpredictability of the current situation in the light of pandemic, we expect to have a hybrid event, i.e. both online and on-site participation will be possible. For the later mode, we will be very glad to meet participants, who will be able to attend the event physically, in peaceful and spectacular city of Tamaulipas, Mexico in mid-September, 2022. Hope to meet you there!!!