International Workshop on Intelligent Systems for Governance (IS4GOV)

Final Deadline for submissions: December 15

Notification to authors (first round submissions): December 15

Notification to authors (Second round submissions): December 27

Camera-ready Submission deadline: January 7 2020

International Workshop on Intelligent Systems for Governance (IS4GOV)

Short description and goals

The recent advancements in the fields of artificial intelligence and machine learning have increased the potential for wider applications of intelligent systems in governance. Governance embraces all aspects of governing including leadership, management, administration, and operations that stems from decision-making to create or reinforce specific objectives and values for the common good.  Governance spans all types of systems in the public, corporate, and social domains where laws, norms, policies, and rules exist to guide conduct and practices.

However, studies have shown that despite the huge potentials for the application of intelligent systems and AI in governance, there are various challenges in salient areas such as organizational readiness to leverage AI, availability of usable data for AI implementations, ethical awareness, and technical capacity that could affect the success of intelligent systems in governance, and its wider uptake and utilization.

This workshop seeks to bring together researchers and practitioners to exchange and discuss the most recent AI techniques, methods, approaches, and applications that are relevant to governance in the public, corporate, and social domains. The workshop will create a platform to interrogate ideas, concepts, achievements, and lessons learned from the design, development, and deployment of intelligent systems for governance.

It will also create a platform for intellectual engagement on the extant challenges associated with applications of intelligent systems in governance and the design of intelligent systems for governance.

List of topics

  • AI systems for decision-making in governance
  • Machine learning schemes and application for governance
  • Data curation for AI in governance
  • AI-based e-governance
  • Knowledge-based infrastructures for governance – ontologies, knowledge graphs
  • Semantic-based systems for digital governance
  • Requirements Engineering for AI systems for governance
  • Data science solutions for governance
  • Application of cyber-physical systems in governance
  • Robotics, and process automation in governance
  • Ethics, and privacy issues of AI for governance
  • AI-enabled legislation and policy formulation
  • AI-driven systems Interoperability in governance
  • AI-based interventions for government service delivery
  • Smart digital systems for governance

Organizers and Chairs

Main contact person: Olawande Daramola – daramolaj@cput.ac.za

 

Preliminary program committee (To be confirmed)

  • Oludayo Olugbara, Durban University of Technology, South Africa
  • Oluwagbemi Olugbenga, Stellenbosch University, South Africa
  • Boniface Kabaso, Cape Peninsula University of Technology, South Africa
  • Richard Milham, Durban University of Technology, South Africa
  • Paul Kogeda, University of Free State, South Africa
  • Pinar Ozturk, NTNU, Norway
  • Aparna Varde, Montclair State University, USA
  • Charles Ayo, Trinity University, Nigeria
  • Funke Oladipupo, Covenant University, Nigeria
  • Ariyo Adebiyi, Covenant University, Nigeria
  • Thomas Moser, St Poelten University of Technology, Austria
  • Inah Omoronyia, University of Glasgow, United Kingdom
  • Michael Adeyeye, Sheridan College, Australia
  • Amit Jain, Chandigarh University, India

Publications

The accepted papers for the workshop will be published in the Lecture Notes in Computer Science (LNCS) alongside the papers of the I3E 2020 conference. I3E Proceedings are indexed in Scopus, DBLP, and the Web of Science. Accepted papers should be registered through the registration page on www.i3e2020.org. Authors are required to register and present their papers in order to have the papers included in the LNCS publication.

Website: https://www.i3e2020.org/is4gov/

Call for papers: https://easychair.org/cfp/is4gov

 

Paper Submission

Full Paper submissions have a maximum of 12 pages in length.
Short Paper submissions have a maximum of 6 pages.
Papers should be submitted through EasyChair in PDF format.

Paper Submission link: https://easychair.org/conferences/?conf=is4gov

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers.