CFP: EGOV2025 (Krems Austria, Aug 31 - Sep 4 2025) - AI, Data Analytics & Automated Decision Making Track

Mon Dec 9 14:03:27 EST 2024

EGOV2025 - IFIP EGOV-CeDEM-EPART 2025
https://dgsociety.org/egov-2025/

August 31 - September 4, 2025
University for Continuing Education Krems, Austria

The IFIP EGOV 2025 is a scientific conference that is dedicated to the broader areas of e-Government and e-Democracy, which include facets like Digital Government, e-Participation, Open Government,  Smart Government, AI government, GovTech, Algoritmic Governance, and related topics to digitalization and government.
The conference represents the merge of the IFIP WG 8.5 Electronic Government (EGOV), the IFIP WG 8.5 IFIP Electronic Participation (ePart) and the Conference for E-Democracy and Open Government Conference (CeDEM).
Several different types of submissions can be made, such as completed research, but also ongoing research, reflections  & viewpoints, posters, workshops. The conference organizes a PhD Colloquium and offers a limited number of PhD bursaries. The day prior to the main conference, there is also a Junior Faculty School for PhD students, postdocs, and junior faculty.
We invite individuals from academic and applied backgrounds as well as from business, public authorities, NGOs, NPOs and education institutions to submit their research papers, reflections, posters as well as practitioner papers, panel or workshop proposals to the topics addressed in the tracks.

AI, Data Analytics & Automated Decision Making Track
As the Fourth Industrial Revolution creates new tools for conducting economic activities in the private sector, it also equips the public sector with technologies for creating public value and engaging in digital transformation. While ICT has been fundamental for digitalising public services, the public sector increasingly relies on Internet of Things (IoT), Artificial Intelligence (AI) including Generative AI, (Big) Data Analytics (BDA), Blockchain, 5G, Adaptive manufacturing and 3D technologies. These innovations   accelerate the capacity of the public sector to deliver more impactful and responsive public services.
As citizens spend more time online, their digital footprints are becoming easier to collect, forming massive interconnected networks of data. Innovative methods and tools to analyse such data and understand policy implications are in urgent demand. In particular, open data and open government initiatives can create bigger synergy and impact when integrated with new technologies.
However, the use of new technologies by government has some serious ethical and policy implications. Complementing or replacing human-made public service with AI, automating decisions of consequence to people's lives, harvesting interconnected data about individuals, etc. raise the risk that exclusion, bias, injustice, and privacy violations can happen on a massive scale. Decisions driven by AI, (Big) Data Analytics, and policy modelling tools may generate optimal solutions from an economic perspective, but not from a social inclusion perspective, or give rise to transparency and fairness concerns. Privacy and security issues with regards to citizens' everyday digital footprints also have legal and policy implications.
This track invites papers that can advance theoretical, practical and policy questions on those issues. Papers are expected to address the topics including but not limited to:

  *   AI and evidence-based policy making
  *   Robotic Process Automation in the public sector
  *   Predictive analytics and machine learning in the public sector
  *   Trustworthiness, fairness and explainability of AI applications
  *   eXplainable Artificial Intelligence (XAI) in the public sector
  *   Federated Learning and Edge AI in the public sector
  *   Natural Language Processing and Understanding applications in the public sector
  *   Transforming Public Services using Generative AI
  *   Large Language Models for effective Governance
  *   Generative AI for enhancing and preserving Democratic Processes
  *   Large Language Models and Large Language Model-based systems for
  *   Transparency and accountability in automated decision-making
  *   Legal and ethical aspects of AI in the public sector
  *   AI-enabled smart cities and IoT applications
  *   Analysis and evaluation of Dynamic Open Government Data (including environmental, traffic, satellite, meteorological, and sensor generated data)
  *   AI in government and discriminatory bias
  *   Machine Learning Operationalization management (MLOps) in the public sector
  *   Co-creation via AI and big data analytics
  *   Co-creation of AI-enabled public services
  *   Consequential decisions and AI in government
  *   Digital transformation of the public sector via AI
  *   Impact of AI on social cohesion
Track Chairs

  *   Euripidis Loukis (lead), University of Aegean, Greece
  *   Evangelos Kalampokis, University of Macedonia, Greece
  *   Habin Lee, Brunel University London, United Kingdom

Important Dates
Paper submissions:
Deadline for submissions (anonymous, in template): 17 March 2025
Notification of acceptance: 2 May 2025
Camera-ready paper submission and author registration: 12 June 2025
Workshops and posters submissions:
Workshop and poster submission deadline (non-anonymous, in template): 15 May 2025
Notification of acceptance: 2 June 2025
PhD colloquium application:
PhD Colloquium deadline for submissions: May 2, 2025
PhD Colloquium notification of acceptance: June 2, 2025
PhD Colloquium revised version: July 31, 2025
Junior Faculty School application:
Junior Faculty School deadline for application: 2 June, 2025
Junior Faculty School date of acceptance: 15 June, 2025
Conference dates:
PhD Colloquium: 31 August 2025
Junior Faculty School: 1 September 2025
Conference Sessions: 2-4 September 2025

Habin Lee, Professor of Digital Business Analytics
Senior Editor, Information Systems Management
Editorial Review Board, Government Information Quarterly
Divisional Lead, Innovation and Sustainability
T +44(0)1895 267414 | E Habin.Lee at brunel.ac.uk<mailto:Habin.Lee at brunel.ac.uk>

Brunel University London
Brunel Business School
Brunel University London, Uxbridge, UB8 3PH, United Kingdom
T +44(0)1895 274000

www.brunel.ac.uk<http://www.brunel.ac.uk/>
Connect with the University on Facebook<https://www.facebook.com/bruneluniversity>, Twitter<https://twitter.com/bruneluni>, LinkedIn<https://www.linkedin.com/edu/brunel-university-london-12575>, Google+<https://plus.google.com/+bruneluniversity/posts>, Instagram<http://instagram.com/bruneluni>

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