-------- Forwarded Message --------
AI, Data Analytics & Automated Decision Making Track
at EGOV2020 - IFIP EGOV-CeDEM-EPART 2020
Linköping University, Sweden
31 August (Monday) - 2 September (Wednesday), 2020
As the Fourth Industrial Revolution creates new tools for
conducting economic activities in the private sector, it also
provides the public sector with tools 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), (Big) Data Analytics (BDA), Blockchain, 5G,
Adaptive manufacturing / 3D technologies, wireless and related
technologies to accelerate and increase the impact of digital
transformation.
As citizens are spending more time on the Internet, 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, injustice
and privacy violations can happen on a massive scale. Decision
made through (Big) Data Analytics and policy modelling tool 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:
* Adoption of robotics-based public services
* AI and labour displacement in the public sector
* AI applications in the public sector
* AI and policy monitoring and analytics
* AI-enabled smart cities
* AI in government and discriminatory bias
* Big data analytics for policy modelling
* Co-creation via AI and big data analytics
* Computational analysis methods for open data
* Consequential decisions and AI in government
* Decision support system for policy makers
* Digital transformation via AI
* Disruptive services in public sector
* Impact of AI on social cohesion
* IoT applications in public services
* Privacy issues in big data analytics
* Qualitative policy modelling
* Quality of AI-enabled public services
Important Dates:
* (Hard) deadline for submissions: 17 March 2020
* Notification of acceptance: 30 April 2020
* PhD Colloquium deadline for submissions: May 1, 2020
* Poster submission deadline (non-anonymous-camera ready) 10 May
2020
* Poster acceptance 25 May 2020
* Camera-ready paper submission and author registration: 1 June
2020
* Conference: 31 August -2 September 2020
* PhD Colloquium: 30 August 2020
Paper Submission:
https://easychair.org/account/signin?l=hNe4eTJLWHWexAxPtJApd5#<https://easychair.org/account/signin?l=hNe4eTJLWHWexAxPtJApd5>
Track Co-chairs
* Habin Lee, Brunel University London, United Kingdom
* Euripidis Loukis, University of Aegean, Greece
* Evangelos Kalampokis, University of Macedonia
Programme Committee
* Rony Medglia, Copenhagen Business School
* Shefali Virkar, Donau-Universität Krems
* Alexopoulos Charalampos, University of the Aegean
* Jongwoo Kim, Hanyang University
* Hongjoo Lee, Catholic University of Korea
* Youngseok Choi, University of Southampton
* Aggeliki Tsohou, Ionian University
Prof Habin Lee
Chair in Data Analytics and Operations Management
Divisional Lead, Organisations and People
Director, College Research Group for Digital Governance and
Sustainable Operations Management
Coordinator, The GREENDC consortium
(
http://www.greendc.eu<http://www.greendc.eu/>)
T +44(0)1895 267414 | E
Habin.Lee@brunel.ac.uk<mailto:Habin.Lee@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/>
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