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

Charalampos Alexopoulos via eGov-list egov-list at u.washington.edu
Wed Dec 18 10:42:09 PST 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


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