Tag ai

KMIS2022_Best_Paper_Award

14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K): how it was and who got the Best Paper Award?

Anastasija Nikiforova Leave a comment

In this post I would like to briefly elaborate on a truly insightful 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), where I was honored to participate as a speaker, presenting our paper “Putting FAIR principles in the context of research information: FAIRness for CRIS and CRIS for FAIRness” (authors: Otmane Azeroual, Joachim Schopfel and Janne Polonen, and Anastasija Nikiforova), and as a chair of two absolutely amazing sessions, where live and fruitful discussions took place, which is a real indicator of the success of such! And spoiler, our paper was recognized as the Best Paper! (i.e., best paper award goes to… :))

IC3K consists of three subconferences, namely 14th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 14th International Conference on Knowledge Engineering and Ontology Development (KEOD), and 14th International Conference on Knowledge Management and Information Systems (KMIS), where the latter is the one, to which my paper has been accepted, and also won the Best Paper Award – I know, this is a repetition, but I am glad to receive it, same as the euroCRIS community is proud for us – read more here…!

Briefly about our study, with which we mostly wanted to urge a call for action in the area of CRIS and their FAIRness. Of course, this is all about the digitization, which take place in various domain, including but not limited to the research domain, where it refers to the increasing integration and analysis of research information as part of the research data management process. However, it is not clear whether this research information is actually used and, more importantly, whether this information and data are of sufficient quality, and value and knowledge could be extracted from them. It is considered that FAIR principles (Findability, Accessibility, Interoperability, Reusability) represent a promising asset to achieve this. Since their publication (by one of the colleagues I work together in European Open Science Cloud), they have rapidly proliferated and have become part of both national and international research funding programs. A special feature of the FAIR principles is the emphasis on the legibility, readability, and understandability of data. At the same time, they pose a prerequisite for data and their reliability, trustworthiness, and quality. In this sense, the importance of applying FAIR principles to research information and respective systems such as Current Research Information Systems (CRIS, also known as RIS, RIMS), which is an underrepresented subject for research, is the subject of our study. What should be kept in mind is that the research information is not just research data, and research information management systems such as CRIS are not just repositories for research data. They are much more complex, alive, dynamic, interactive and multi-stakeholder objects. However, in the real-world they are not directly subject to the FAIR research data management guiding principles. Thus, supporting the call for the need for a ”one-stop-shop and register-once use-many approach”, we argue that CRIS is a key component of the research infrastructure landscape / ecosystem, directly targeted and enabled by operational application and the promotion of FAIR principles. We hypothesize that the improvement of FAIRness is a bidirectional process, where CRIS promotes FAIRness of data and infrastructures, and FAIR principles push further improvements to the underlying CRIS. All in all, three propositions on which we elaborate in our paper and invite  everyone representing this domain to think of, are:

1. research information management systems (CRIS) are helpful to assess the FAIRness of research data and data repositories;

2. research information management systems (CRIS) contribute to the FAIRness of other research infrastructure;

3. research information management systems (CRIS) can be improved through the application of the FAIR principles.

Here, we have raised a discussion on this topic showing that the improvement of FAIRness is a dual or bidirectional process, where CRIS promotes and contributes to the FAIRness of data and infrastructures, and FAIR principles push for further improvement in the underlying CRIS data model and format, positively affecting the sustainability of these systems and underlying artifacts. CRIS are beneficial for FAIR, and FAIR is beneficial for CRIS. Nevertheless, as pointed out by (Tatum and Brown, 2018), the impact of CRIS on FAIRness is mainly focused on the (1) findability (“F” in FAIR) through the use of persistent identifiers and (2) interoperability (“I” in FAIR) through standard metadata, while the impact on the other two principles, namely accessibility and reusability (“A” and “R” in FAIR) seems to be more indirect, related to and conditioned by metadata on licensing and access. Paraphrasing the statement that “FAIRness is necessary, but not sufficient for ‘open’” (Tatum and Brown, 2018), our conclusion is that “CRIS are necessary but not sufficient for FAIRness”.

This study differs significantly from what I typically talk about, but it was to contribute to it, thereby sharing the experience I gain in European Open Science Cloud (EOSC), and respective Task Force I am involved in – “FAIR metrics and data quality”. It also allowed me to provide some insights on what we are dealing with within this domain and how our activities contribute to the currently limited body of knowledge on this topic.

Putting FAIR principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRnessDownload

A bit about the sessions I chaired and topics raised within them, which were very diverse but equally relevant and interesting. I was kindly invited to chair two sessions, namely “Big Data and Analytics” and “Knowledge management Strategies and Implementations”, where the papers on the following topics were presented:

  • Decision Support for Production Control based on Machine Learning by Simulation-generated Data (Konstantin Muehlbauer, Lukas Rissmann, Sebastian Meissner, Landshut University of Applied Sciences, Germany);
  • Exploring the Test Driven Development of a Fraud Detection Application using the Google Cloud Platform (Daniel Staegemann, Matthias Volk, Maneendra Perera, Klaus Turowski, Otto-von-Guericke University Magdeburg, Germany) – this paper was also recognized as the best student paper;
  • Decision Making with Clustered Majority Judgment (Emanuele D’ajello , Davide Formica, Elio Masciari, Gaia Mattia, Arianna Anniciello, Cristina Moscariello, Stefano Quintarelli, Davide Zaccarella, University of Napoli Federico II, Copernicani, Milano, Italy.
  • Virtual Reality (VR) Technology Integration in the Training Environment Leads to Behaviour Change (Amy Rosellini, University of North Texas, USA)
  • Innovation in Boutique Hotels in Valletta, Malta: A Multi-level Investigation (Kristina, University of Malta, Malta)

And, of course, as is the case for each and every conference, the keynotes are panelists are those, who gather the highest number of attendees, which is obvious, considering the topic they elaborate on, as well as the topics they raise and discuss. IC3K is not an exception, and the conference started with a very insightful discussion on Current Data Security Regulations and the discussion on whether they Serve or rather Restrict the Application of the Tools and Techniques of AI. Each of three speakers, namely Catholijn Jonker, Bart Verheijen, and Giancarlo Guizzardi, presented their views considering the domain they represent. As a result, both were very different, but at the same time leading you to “I cannot agree more” feeling!

One of panelists – Catholijn Jonker (TU Delft) delivered then an absolutely exceptional keynote speech on Self-Reflective Hybrid Intelligence: Combining Human with Artificial Intelligence and Logic. Enjoyed not only the content, but also the style, where the propositions are critically elaborated on, pointing out that they are not indented to serve as a silver bullet, and the scope, as well as side-effects should be determined and considered. Truly insightful and, I would say, inspiring talk.

All in all, thank you, organizers – INSTICC (Institute for Systems and Technologies of Information, Control and Communication), for bringing us together!

ICEGOV2022: 4 insightful days and four roles – participant / attendee, author / presenter, workshop chair and Best Paper Awards nominee (part 1)

Anastasija Nikiforova 2 Comments

This October (2022) I had a pleasure and honor to spend four absolutely insightful days at ICEGOV2022 conference – 15th International Conference on Theory and Practice of Electronic Governance, which took place in a very specific place – Guimarães that is considered the birthplace of Portugal. The conference took place under the “Digital Governance for Social, Economic, and Environmental Prosperity” moto and was organized by organized by the University of Minho (Universidade do Minho) and UNU-eGOV – United Nations University.

Just to start, the conference was indeed something very special starting with the very first seconds since the conference was opened by United Nations Secretary-General António Guterres. 6 exceptional keynote talks were delivered during 3 days of the conference, while the last day was fully dedicated to workshops, which were 7 – one of them organized by me and my colleagues, triggered by the study I presented at ICEGOV in 2021 (although only in a virtual / online mode).

All in all, this made it exceptionally honorable to play not one, not two or even three, but four roles. In other words, I was not only a regular participant / attendee or even just an author presenting the paper, but also a workshop chair and even a Best Paper Awards nominee.

Let me start with the reflection on the paper I presented here, since it is also very special for me, considering how it was developed. In other words, it was a joint paper we wrote together with my colleague Anneke Zuiderwijk as part of my 6-months long research visit to the University of Delft, Faculty of Technology, Policy and Management. Even more, it was the topic we discussed with many colleagues from TU Delft, when I was kindly invited to participate in an ICT colloquium, where we had an opportunity to talk about it (among other things such as my general research interests). Moreover, we got this paper accepted exactly at time, when my role of visiting researcher at Delft University of Technology was close to the end.

And before I will briefly elaborate on it, just to make you curious about it, let me mention that it was recognized as one of the best papers, which was nominated to ICEGOV2022 Best Paper Awards in its category. More precisely, it was in top-3 best papers among 61 papers! And although another paper got this award, we still consider it as a small victory! And citing the awards committee “the goal of ICEGOV Best Paper Awards is to acknowledge excellent research” isn’t that a win? ✌️✌️✌️

So… let me now provide a brief insight on the paper (finally). The paper itself is a reflection on the current ongoing research and is titled “Barriers to openly sharing government data: towards an open data-adapted innovation resistance theory”.

To say in a few words, the study itself aims to develop an Open Government Data-adapted Innovation Resistance Theory model to empirically identify predictors affecting public agencies’ resistance to openly sharing government data. Here we want to understand:
💡what are functional and behavioural factors that facilitate or hamper opening government data by public organizations?
💡does IRT provide a new and more complete insight compared to more traditional UTAUT and TAM? – IRT has not been applied in this domain, yet, so we are checking whether it should be considered, or rather those models we are familiar so much are the best ones?
💡and additionally – does the COVID-19 pandemic had an [obvious/significant] effect on the public agencies in terms of their readiness or resistance to openly share government data?
Based on a review of the literature on both IRT research and barriers associated with open data sharing by public agencies, we developed an initial version of the model, which was presented here at ICEGOV2022. Here I should immediately express my huge gratitude to the audience and very positive feedback I received after the session. At the same time, considering that many of these compliments came from people representing , TU Delft, I feel even more belongness to it, despite even have not been there physically during the above-mentioned stay (thanks to pandemic).

Barriers to Openly Sharing Government Data: Towards an OGD-adapted IRTDownload

Taking a step back to the research – now, we plan to conduct exploratory interviews in multiple countries, preferably of different maturity levels (Estonia, Latvia, Netherlands, Italy (?), Belgium (?) – who else?), to refine the model. And once the model is refined, we will validate it to study the resistance of public authorities to openly sharing government data in a quantitative study.

📢📢📢 By the way, in case you are interested in this research and would like to get involved, we are now seeking for people who could conduct exploratory interviews in their countries, so in case you are such person, let us know even if your country is listed above – the interview protocol is already ready and we are about to start these interviews. The more countries will be involved, the more “universal” model we will be able to bring to this world!

In the meantime, find the paper (and cite as) -> Nikiforova A., Zuiderwijk A. (2022) Barriers to openly sharing government data: towards an open data-adapted innovation resistance theory, In 15th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2022). Association for Computing Machinery, New York, NY, USA, 215–220, https://doi.org/10.1145/3560107.3560143

And just to close this post, and considering very positive impressions I had on them, let me at least list keynotes we had, since the organizers paid a very special attention to them, same as later – we as participants to their actual talks. All in all, ICEGOV2022 invited 6 keynotes we truly enjoyed – starting with the opening keynote delivered by Portuguese Secretary of State for Digitalisation and Administrative Modernisation Mário Campolargo, continuing with the following keynotes, which in many cases were later complemented with plenaries. These keynotes were very diverse in nature, more precisely – “Harnessing multilateralism for digital governance development?” by Cristina Duarte (Under-Secretary-General and Special Adviser on Africa to the United Nations Secretary-General), Digital transformation across countries and continents by Tony Shannon (Department of Public Expenditure & Reform, Dublin, Ireland), “AI+X: building a transformation agenda” by Theresa A. Pardo (University at Albany (SUNY)), “What is digital humanism?” by Walter Gehr (Federal Ministry for European and International Affairs), and “Reinforcing Interoperability Policy in the EU: Interoperable Europe” by Veronica Gaffey (European Commission (DG DIGIT)). Truly massive set of high-quality keynotes!

Thank you, of Guimarães, Portugal, and, of course, organizers of ICEGOV2022 – University of Minho (Universidade do Minho) and UNU-eGOV – United Nations University!

P.S. do not forget to read another post on the workshop I had at ICEGOV2022!

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

Anastasija Nikiforova 1 Comment

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.

AI for open data or open data for AI?Download

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!

CertificateDownload

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

First International Electronic Governance with Emerging Technologies Conference

First International Electronic Governance with Emerging Technologies Conference (EGETC)

Anastasija Nikiforova Leave a comment

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!!!