Call for Papers

IGI Global

Call for Papers 
    International Journal of Public Administration in the Digital Age (IJPADA)
Indexed in Web of Science Emerging Sources Citation Index (ESCI)
Special Issue On
Submissions Due Date

Guest Editors
Charalampos Alexopoulos, University of the Aegean, Greece
Monica Palmirani, University of Bologna, Italy
Yannis Charalabidis, University of the Aegean, Greece

Legal informatics domain is dealing with the application of informatics within the context of the legal environment, relating law-related organisations, such as parliaments or national printing offices, lawyers and law firms, courts, deliberative institutions and public administration, as well as citizens and businesses. The big data available –the amount of data produced is growing exponentially – permits to the machines to turn data into information, and to use personal behaviors for extracting knowledge. Artificial intelligence, legal analytics, machine learning, natural language processing, text mining and blockchain in the last five years permits to apply the theoretical findings elaborated for decades to concrete domains, including the legal environment and the legal informatics discipline paves the way of a new services.
On the one hand, the law-making and courts-decision processes, in an informed society, is facing the requirement to be “evidence-based”, factual evidence being deemed the prerequisite to guarantee the quality of decision and legislation. On the other hand, transparency, explicability, efficiency and effectiveness are the basic prerequisites in the public sector including the legal domain. Thus, new approaches utilizing the above-mentioned technologies are emerging in order for the designed services to provide information about the potential and actual impact of decisions and policies, enhance trust and accountability among governments, citizens and businesses, prevent bias on proceedings with cross jurisdictional boundaries, facilitate the rules depend on a particular jurisdiction and assist dispute resolution process.
The combination of the basic characteristics of these technological trends would eventually lead to the total reform of the legal sector either in law-making or in the legal industry. But first we need to describe, annotate and semantically enrich the legal information. A second great challenge of the domain is the so called, “Responsible AI” and explicable AI, which has been raising awareness of the potential threats of AI to a “healthy development” of society, and there is an ongoing discussion to what extent normative regulations are required to control the use of AI. This new approach includes also a new ethics dimension creating a digital ethics analytic method by-design to introduce with the other disciplines.

This special issue aims at presenting foundational, approaches, tools, case studies and theoretical frameworks for the creation, processing and publishing of legal documents as open data towards citizens, practitioners and administrations. Specific emphasis may be given to legal text mining, legal XML standards and models, legal ontologies, as well as further legal argumentation and reasoning models and approaches towards more automated legal services and information systems. We solicit for papers covering both organizational and technical aspects and combining theory and practice. Papers taking interdisciplinary approaches and covering a multitude of aspects are strongly encouraged. Furthermore, we promote a diversity of research methods to study the challenges of this multifaceted discipline including best practices, case studies, design approaches, literature reviews and interviews.

Recommended Topics
• AI and NLP concepts, methods and applications in legal informatics
• Blockchain and smart contracts concepts, methods and applications in legal informatics
• Responsible and Explainable AI in the legal sector
• Creating Big Legal Open Data
• Legal Knowledge Graphs and ontological alignment
• Metadata and semantic approaches in the legal sector
• Automated decision-making using Data Mining, Machine Learning and Artificial Intelligence algorithms in legal domain
• Extracting value from big legal open data through text mining
• Legal data analytics
• Knowledge extraction from legal documents
• Policy analytics, processing and intelligence for legal domain
• Data-driven strategies and policies using legal big data
• AI for eGovernment using legal rules
• Data quality, authenticity and provenance of legal big data
• Data protection, security and trust of the legal big data
• Ownership and legal big data and documents
• Ethical considerations in the application of Artificial Intelligence in Government
• Methods and technologies leading to enhanced digital public services
• Data-driven public sector innovations and applications
• Architectural Legal standards, principles and frameworks
• Semantic ontologies, web services and modeling for legal governmental infrastructures
• Legal Data platforms, interoperability and information sharing

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Foundational Approaches, Methods and Cases in Legal Informatics on or before 15 October 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Guest Editor
International Journal Of Public Administration In The Digital Age

Submission Deadline: 1st July 2020

Scientific Foundations of Digital Governance and Transformation
Concepts, Approaches and Challenges

A book to be published by Springer Publications, edited by:
Yannis Charalabidis, University of the Aegean, Greece,
yannisx (at)
Leif Skiftenes Flak, University of Agder, Norway,
leif.flak (at)
Gabriela Viale Pereira, Danube University Krems, Austria
Gabriela.viale-pereira (at)

Editorial Advisory Board Members
Elsa Estevez, Universidad Nacional del Sur, Argentina
Marijn Janssen, TU Delft, The Netherlands
Atreyi Kankanhalli, National University of Singapore, Singapore
Robert Krimmer, Tallinn University of Technology, Estonia
Rony Medaglia, Copenhagen Business School, Denmark
Gianluca Misuraca, European Commission, Spain
Francesco Molinari, University of Rijeka, Croatia
Theresa Pardo, State University New York, US
Demetrios Sarantis, United Nations University, Portugal
Maria Wimmer, Koblenz University, Germany

Digital Governance refers to the phenomenon where administrations, enterprises and citizens utilize information and communication technologies (ICT) to a great extent, aiming at advanced levels of service provision quality, openness and transparency, collaboration and evidence-based decision making for enhancing the quality of living and promoting sustainable development.

During the last decades, Digital Governance has been recognized as a well-established application domain studying the problems related to the needs of public sector operation and proposing novel methods and frameworks for enhancing service quality through the use of ICT. Substantial progress has been made through EU and national funded research in a number of areas, yet the lack of scientific foundations in the Digital Governance domain seems to hinder unlocking its real transformative value and full potential to all stakeholders, from researchers to industry and SMEs. Providing such a scientific background would document the existing knowledge and open the pathway for systematic and reproducible solutions to identified problems, without the danger of repeating research or missing opportunities for application.
Objective of the Book
This title aims at providing the latest research advancements and findings for the scientific systematization of the Digital Governance and Transformation knowledge, such as core concepts, foundational principles, theories, methodologies, architectures, assessment frameworks, educational programs and future directions. It will bring forward the ingredients of this new domain, proposing its needed formal and systematic tools, exploring its relation with neighboring scientific domains and finally prescribing the next steps for eventually achieving the thrilling goal of laying the foundations of a new science.
This book is an activity stemming from Government 3.0 Erasmus+ project (
 Target Audience
The audience of the book includes:
     Researchers and Practitioners in the Digital Governance Domain, Digital Transformation, Information Systems and in the broader ICT domain
     University Students and Professors from different disciplines
     ICT industry experts, engaged in public sector information systems, software design and deployment projects
     Policy makers and decision drivers at local, national or international level

The title will contribute to the analysis of the scientific perspectives of Digital Governance and Transformation, thus becoming an indispensable support tool for scientists and practitioners, either from the administrative or the technical side.

Recommended topics
The topics of the present call include, but are not limited to, the following:
Area A. Scientific Foundations of Digital Governance
     Basic research questions, key concepts, generic laws and foundational principles of Digital Governance
     Ontologies, taxonomies, lexicons and other semantic elements for Digital Governance
     Combined taxonomies and ontologies of Digital Governance structure and neighbouring scientific domains
     Definition of related scientific foundations and epistemological issues in science
     Methodologies for Digital Governance neighbourhood recognition and identification of reusable elements
     Neighbouring scientific domains analysis
Area B. Digital Governance Problem and Solution Space
     Formal methods to describe Digital Governance problems and solutions
     Digital Governance knowledge bases definition and design
     Impact assessment frameworks, simulation methods and tools for Digital Governance 
     Models and tools for cutting across problem-solution paths in Digital Transformation
     Populations of formal descriptions, generalization of Digital Transformation approaches
     Metrics and algorithmic models for Digital Governance
     Other scientific methods for Digital Governance and Transformation in the Public Sector 
     Scientific methods for Digital Governance found in other research domains    
     Shared formal and other descriptive methods identification
Area C. Perspectives and Future Research Directions for Digital Governance
     Forward - looking roadmaps for research in the area of Digital Governance and Transformation
     Action plans for sustainability and evolution of scientific disciplines in general, and Digital Governance in particular, towards their scientific recognition
     Open research challenges and hypotheses for Digital Governance
     Visionary Scenarios for public sector organizations and digital public services
     Proposals on the value proposition, assessment and marketing of the scientific offerings for Digital Governance
     Guidelines and recommendations to key stakeholders
Submission Procedure
Chapters must be between 8,000 and 10,000 words and should be submitted on or before 1st July 2020, accompanied by:
     The area of submission (A, B or C, as above)
     Brief Author(s) CV(s) - up to 150 words per author
Chapter formatting guidelines for edited books can be found at:
     Key Style Points on (for an easy reference).
     Book Manuscript Guidelines on (for more detailed information)
All submitted chapters will be reviewed on a double-blind review basis.

Important Dates
     1st July 2020               Full Chapter Submission Deadline
     15th September 2020   Author Notification on Review Results
     1st November 2020      Camera–Ready Chapters Submission Deadline
     Spring 2021                 Planned Book Publication

Inquiries may be addressed to all co-editors.
Submissions should be forwarded electronically (Word/PDF document) to:
Gabriela Viale Pereira, Danube University Krems
Email: gabriela.viale-pereira (at)
cc : Zoi Lachana, University of the Aegean / zoi (at)