Call For Papers

The 20th IFIP Conference e-Business, e-Services, and e-Society I3E2021

Responsible AI and Analytics for an Ethical and Inclusive Digitised Society
1st – 3rd September 2021 NUI Galway, Galway, Ireland

AI, analytics, and ICT in general, create opportunities and unintended or negative consequences for individuals and society (cf. Ransbotham, Fichman et al., 2016; Majchrzak et al., 2016). These opportunities and consequences have not been evenly distributed.

Despite the many personal, economic, and societal benefits offered by AI and analytics, its use raises a variety of ethical concerns. Ethics permeates the entire analytics process, from what data to use, to how to represent the extracted knowledge and exploit the insights to create economic and social value. Ethical concerns (i.e. illegitimate surveillance, invasion of privacy, unemployment, malicious use etc.) are frequently used to portray AI and analytics as ‘a danger to humanity’. These concerns warrant the attention of the academic community who are in a privileged position within society to raise awareness about the responsible design, implementation and use of AI, analytics, and ICT.

At the same time, AI and analytics has opened new domains of exclusion and privilege for some, leaving some individuals and communities excluded from the digitised society. For example, digital exclusion is part of the overall challenge of exclusion, a growing phenomenon which carries with it a series of deteriorations in life paths (i.e. poor lifelong earnings and an increased risk of marginalisation). There are many who are currently excluded for reasons of low income and education, location, culture, trust and confidence levels or various disabilities (European Commission).

Success in the increasingly digitised society requires a comprehensive approach to fostering an ethical and inclusive society. The 20th IFIP Conference on e-Business, e-Services, and e-Society aims to bring together contributions from a variety of perspectives, disciplines and communities for the advancement of knowledge regarding Responsible AI and Analytics for an Ethical and Inclusive Digitised Society.

To this end, we invite scholars, practitioners and research students to submit and present their papers and findings to the 20th IFIP Conference on e-Business, e-Services, and e-Society to be held in September 2021 at NUI Galway, Galway, Ireland. Theoretical and empirical papers employing quantitative, qualitative, and/or critical methods are welcomed.

Submission date: 15th April 2021
Notification to authors: 30th April 2021
Camera ready submission: 15th May 2021
Early bird registration (€170): 31st May 2021

Download the call for papers

Authors should submit original, unpublished research papers. All papers must not simultaneously be submitted to another journal or conference. All accepted papers will be published in the conference proceedings. Submissions should not be under consideration for any other conference or journal outlet.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates for the preparation of their papers.

Special Issues

Authors of selected papers will be invited to submit an extended and revised version of their paper for fast track review and publication with the following journals.

  • Information Systems Frontiers (Download the call for papers)
  • International Journal of Information Management (Download the call for papers)
  • Journal of Decision Systems (Download the call for papers)
  • Additional Special Issues may be announced soon.
  • Topics of Submission

    Papers employing quantitative, qualitative, and/or critical methods are welcomed. Areas of interest include, amongst others, the following themes:

    General Conference Theme:

  • Societal impact of AI, analytics and current or emerging technologies or technological trends, e.g. IoT, robotics, smart cities, blockchain
  • Dark-side of AI and analytics
  • Innovations in AI and analytics
  • AI and the future of work
  • Ethical issues related to AI and analytics
  • The role of AI and analytics in social inclusion/exclusion and educational (in)equality
  • Strategies (e.g. best practices, policies, and governance mechanisms) for addressing the unintended consequences of AI and analytics
  • Implications of collaborative analytics in a digitised society
  • Information Systems

  • Sentiment analytics
  • Software analytics
  • Social media analytics
  • Big data analytics
  • ICTs for enabling smart cities
  • Ethics and CSR issues related to AI and analytics
  • Smart infrastructure management
  • National digital and Internet policy
  • Cyber security
  • Blockchain
  • Digital ecosystems
  • Public policy for digital transformation
  • Inter-organisation information systems
  • Application of AI and analytics to address societal challenges
  • Leveraging AI and analytics for social innovation and entrepreneurship
  • Organisational learning and innovation from AI and analytics
  • Human computer interaction (HCI)
  • Smart AI, analytics, and ICT adoption studies
  • Smart transportation and mobility
  • Smart urbanisation and living
  • Supply chain management
  • Information dissemination
  • Analysis of user generated content
  • Open data initiatives
  • Digital inclusion
  • Business Intelligence
  • Economics, Sociology and Psychology

  • Smart economy and entrepreneurship
  • Social transformation using AI and analytics
  • Socio-economic inclusion in the digitised society
  • Economic and social effects of social media
  • Ethics and CSR issues related to AI and analytics
  • Socio-economic transformation in a digitised society
  • Healthcare analytics
  • HR analytics
  • Marketing analytics
  • Management and Marketing

  • AI and analytics for B2B, C2C marketing
  • Business model innovation
  • Challenges and opportunities for organisations
  • AI and the future of work
  • Computer Science and Computer Engineering

  • Text/data mining
  • AI
  • IoT
  • Machine Learning
  • Database management systems
  • Human-computer interaction
  • Cloud computing
  • Mobile applications
  • Knowledge management
  • Neural networks
  • Expert systems
  • Agents and multi-agent systems
  • Natural language processing
  • Privacy
  • Internet security
  • Secure transactions
  • Cryptography
  • Cyber security
  • Teaching and Learning

  • Academic analytics
  • Learning analytics
  • e-Learning organisational issues
  • Gamification
  • Educational systems design
  • Virtual learning environments