-------- Forwarded Message --------
Subject: [AISWorld] Call for papers: Special Issue of Production and
Operations Management on “Responsible Data Science” - (Apologize for
Multiple Posts)
Date: Fri, 4 Nov 2022 04:12:12 +0000
From: Wu, Xianghua <xianghua.wu(a)mavs.uta.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Guest editors
Maxime C. Cohen; Desautels Faculty of Management, McGill University
Nina Huang; Miami Herbert Business School, University of Miami
Meng Li, Paul A. Pavlou; C. T. Bauer College of Business, University of
Houston
Submissions open: August 1, 2022
Deadline: November 30, 2022
Motivation
Our society is experiencing a rapid digital transformation, changing the
way how different players in supply chains and technological systems
interact with each other and exert their influences. For example, the
way that businesses and customers interact has changed in the digital
economy with the influence of computing technology and information
sharing. Businesses now routinely collect large volumes of fine-grained
data to analyze consumers' behavior, and consumers can also track
changes in firms' strategies to make informed purchasing decisions. An
iconic trend in the era of digital transformation is the increasingly
extensive use of data analytics and machine learning tools in decision
making as both strategic and operational levers. The use of rich and
large data sets also raises critical societal concerns. For example,
data sets often include personal sensitive information that can be
exploited, without explicit knowledge and/or consent from the involved
individuals, for various purposes including monitoring, discrimination,
and illegal activities. On the one hand, data- and AI-driven algorithms
may have created a competitive advantage for firms that are using these
algorithms. For example, large corporations can create unequal
competition in the market against smaller players. Similarly, firms may
attract customers with stronger financial records by offering
personalized enticing incentives, leading to a social bias toward
individuals who are offered fewer appealing opportunities. On the other
hand, algorithms that do consider social inclusion and fairness
considerations have a great potential to reduce the inequalities induced
by social status, gender, and race, just to name a few. Responsible data
science is defined as the utilization and exploitation of data via
manual analysis or automated algorithms (such as machine learning) that
aim at improving the terms of participation in society, particularly for
individuals or corporate entities that are disadvantaged. Such societal
participation improvements include, but are not limited to, enhanced
opportunities, increased access to resources, and greater voice and
respect for human rights.
Call for submissions
This special issue aims to attracting submissions that are closely
connected to real-world operational problems and have the potential to
impact practice from the lens of responsible data science. All
submissions must have clear managerial or theoretical contributions, and
must be built upon rigorous research methods that serve as an
appropriate framework to analyze problems: including analytical
modeling, econometric analysis, field experimentation, and
behavioral theories.
All submissions must contribute to the operations management literature
and practice. Areas of focus include the following:
• Algorithmic bias in search and recommendation
• Price discrimination
• Social inequality
• Gender and racial inequality
• Corporate inequality and corporate social responsibility
• Discrimination in resource allocation or hiring
• Workforce relationships
• Inclusive healthcare
• Fairness, accountability, and explainability in AI
• AI standard and regulation
• Privacy concerns in data science and decision-making
• AI ethics
To fit the mission of this special issue, submitted papers should have a
solid scientific foundation and fit into one or more of the following
categories:
• Analytical: Papers well-grounded in frameworks that fall under the
category of social inclusion, ethics, fairness, and privacy.
• Empirical: Papers that use public data, proprietary data, or
experiments to test theories related to social inclusion, ethics,
fairness, and privacy.
• Technical: Papers that develop or improve upon algorithms that address
social inclusion, ethics, fairness, and privacy.
• Multimethod: Papers that combine different quantitative methods
mentioned above or qualitative approaches, such as case studies and
interviews, for triangulation purposes.
Submission process
Papers should be submitted through the POM manuscript central website:
https://mc.manuscriptcentral.com/poms.
Specifically, please follow the prompts below(See details in the
attached file):
On the author tab, please choose "Special Issue Article" (see the image
below) in Step 1
In the drop-down menu (see the image below) that then appears in Step 1,
please select appropriate department editor: Special Issue on
Responsible Data Science.
For Step 6, please upload a cover letter that includes the title of the
special issue and the specific article type you are submitting. Towards
the end of Step 6, please indicate "yes" for the question "Is this
submission for a special issue?" and enter the title of the special
issue in the text box
below: "Responsible Data Science."
Submission guidelines
• All papers must conform to the POM's submission guidelines, which can
be found at
https://www.poms.org/journal/author_instructions.
• All authors need to follow the ethical guidelines, which can be found at
https://www.poms.org/2021/05/poms_ethical_guidelines_for_au.html.
• We do not allow resubmission of a rejected paper in the same
department or a different department of the journal. Also, the paper
rejected in a special issue cannot be resubmitted to the regular issue
(and vice-versa).
• All papers by authors that have a conflict of interest with either of
the special issue editors will be handled by the Editor-in-Chief and
others, not by the special issue editors.
Projected Timeline
• Submissions will be accepted starting from August 1, 2022.
• First submission deadline: November 30, 2022.
• Workshop on invited papers: May 2023.
----------------------------------------------------
Jason Xianghua Wu, PhD
Postdoc Research Fellow, Human-Centered AI Lab
Department of Decision & Information Sciences
C.T. Bauer College of Business, University of Houston
Email: xwu28(a)central.uh.edu
Cell: (+01) 682-583-6349
-------- Forwarded Message --------
Subject: [AISWorld] ISCRAM2023 @ Omaha, NE, USA: Call for Submissions
Date: Tue, 1 Nov 2022 16:52:48 +0000
From: Deepak Khazanchi <khazanchi(a)unomaha.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Dear Colleagues:
Information Systems for Crisis Response and Management
(ISCRAM.org<http://iscram.org/>) is an international organization that
promotes research and the exchange of knowledge related to the design,
use, and evaluation of information systems and technology deployed for
emergency and disaster mitigation, preparation, response, and recovery.
It is a multidisciplinary domain and includes as its members medical
scientists, clinicians, social scientists, ethnographic researchers,
computer scientists, management scientists, and much more.
ISCRAM 2023 (http://iscram2023.net; https://twitter.com/ISCRAM2023;
https://www.facebook.com/iscram2023) is being held in Omaha, Nebraska
(USA) from May 28th to May 31st, 2023 with a pre-conference reception on
the 27th May. We are pleased to invite you to submit your contributions
in 18 different specialized tracks managed by 70+ track chairs from
around the world. Additionally we have some amazing keynote speakers
lined up. So join us an enjoy the Nebraska hospitality with a very
special evening events that are all included with the registration cost.
Further information on how to submit the call for new track proposals
and the proposal template can be found at ISCRAM 2023
webpage<https://www.unomaha.edu/college-of-information-science-and-technology/iscra…>.
Current accepted list of tracks are on the website.
Detailed calls for submissions are below:
Call for Papers -
https://www.unomaha.edu/college-of-information-science-and-technology/iscra…
Call for Panels/Workshops/Tutorials -
https://www.unomaha.edu/college-of-information-science-and-technology/iscra…
Call for Poster/Demonstrations -
https://www.unomaha.edu/college-of-information-science-and-technology/iscra…
Call for Doctoral Consortium -
https://www.unomaha.edu/college-of-information-science-and-technology/iscra…
Deepak
Deepak Khazanchi, Ph.D
Professor of Information Systems & Quantitative Analysis
Executive Director, Center for Management of Information Technology (CMIT)
Director, Executive Master of Science in IT
Fulbright Specialist (2014-16; Norway 2016; 2022-25)
Fulbright Core (2022; Austria)
College of Information Science & Technology
University of Nebraska at Omaha
Personal URL: http://dkhazanchi.com<http://dkhazanchi.com/>
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] UMAP ’23: 31st ACM Conference on User Modeling,
Adaptation and Personalization: First Call for Papers
Date: Tue, 1 Nov 2022 08:33:58 +0200
From: George A. Papadopoulos <george(a)cs.ucy.ac.cy>
To: aisworld(a)lists.aisnet.org
*** First Call for Papers ***
UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and
Personalization
June 26 - 29, 2023, St. Raphael Resort, Limassol, Cyprus
https://www.um.org/umap2023/
ACM UMAP is the premier international conference for researchers and
practitioners
working on systems that adapt to individual users or groups of users,
and that
collect, represent, and model user information. ACM UMAP is sponsored
by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering
Committee, oversees
the conference organization. The proceedings, published by ACM, will be
part of the
ACM Digital Library.
The theme of UMAP 2023 is "Personalization in Times of Crisis”.
Specifically, we welcome submissions that highlight the impact that
critical periods (such as the COVID-19 pandemic, ongoing wars, and
climate change, to name a few) can have on
user modeling, personalization, and adaptation of (intelligent) systems;
the focus is on investigations that capture how these trying times may
have influenced user behavior and whether new models are required.
While we encourage submissions related to this theme, the scope of the
conference
is not limited to the theme only. As always, contributions from
academia, industry, and other organizations discussing open challenges
or novel research approaches
are expected to be supported by rigorous evidence appropriate to the
claims (e.g., user study, system evaluation, computational analysis).
Important Dates
• Paper Abstracts: January 19, 2023 (mandatory)
• Full paper: January 26, 2023
• Notification: April 11, 2023
• Camera-ready: May 2, 2023
• Conference: June 26 - 29, 2023
Note: The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth)
Conference Topics
We welcome submissions related to user modeling, personalization, and
adaptation
of (intelligent) systems targeting a broad range of users and
domains. For detailed descriptions and the suggested topics for each
track please visit the UMAP 2023 website.
Personalized Recommender Systems
This track invites works from researchers and practitioners on recommender
systems. In addition to mature research works addressing technical
aspects of recommendations, we welcome research contributions that
address questions
related to user perception, decision-making, and the business value of
recommender systems.
Knowledge Graphs, Semantics, Social and Adaptive Web
This track welcomes works focused on the use of knowledge
representations (i.e.,
novel knowledge bases), graph algorithms (i.e., graph embedding
techniques), and social network analysis at the service of addressing
all aspects of personalization,
user model building, and personal experience in online social systems.
Moreover,
this track invites works in adaptive hypermedia, as well as semantic and
social web.
Intelligent User Interfaces
This track invites works exploring how to make the interaction between
computers
and people smarter and more productive, leveraging solutions from
human-computer
interaction, data mining, natural language processing, information
visualization, and
knowledge representation and reasoning.
Personalizing Learning Experiences through User Modeling
This track invites researchers, developers, and practitioners from
various disciplines
to submit their innovative learning solutions, share acquired
experiences, and discuss
their modeling challenges for personalized adaptive learning.
Responsibility, Compliance, and Ethics
Researchers, developers, and practitioners have a social responsibility
to account for
the impact that technologies have on individuals (users, providers, and
other stakeholders) and society. This track invites works related to the
science of building, maintaining, evaluating, and studying adaptive
systems that are fair, transparent, respectful of users’ privacy, and
beneficial to society.
Personalization for Persuasive and Behavior Change Systems
This track invites submissions focused on personalization and tailoring
for persuasive
technologies, including but not limited to personalization models, user
models, computational personalization, design, and evaluation methods.
It also welcomes work that brings attention to the user experience and
designing personalized and adaptive behavior change technologies.
Virtual Assistants, Conversational Interactions, and Personalized
Human-robot Interaction
This track invites works investigating new models and techniques for
adapting synthetic companions (e.g., virtual assistants, chatbots,
social robots) to individual users. With the conversational modality so
in vogue across disciplines, this track welcomes work highlighting the
model and deployment of synthetic companions driven by conversational
search and recommendation paradigms.
Research Methods and Reproducibility
This track invites submissions on methodologies to evaluate personalized
systems, benchmarks, and measurement scales, with particular attention
to the reproducibility of results and techniques. Furthermore, the track
looks for submissions that report new insights from reproducing existing
works.
Submission and Review Process
Submissions for any of the aforementioned tracks should have a maximum
length of *14 pages* (excluding references) in the ACM new single-column
format
(https://www.acm.org/publications/proceedings-template). (Papers of any
length up
to 14 pages are encouraged; reviewers will comment on whether the size
is appropriate for the contribution.) Additional review criteria and
submission link will be available shortly on the conference website:
https://www.um.org/umap2023/ .
Accepted papers will be included in the conference proceedings and
presented at the
conference. At least one author should register for the conference by
the early registration date cut-off.
UMAP uses a *double-blind* review process. Authors must omit their names
and affiliations from their submissions; they should also avoid obvious
identifying statements. For instance, citations to the authors' prior
work should be in the third person. Submissions not abiding by anonymity
requirements will be desk rejected.
UMAP has a *no dual submission* policy, which is why full paper
submissions should
not be currently under review at another publication venue. Further,
UMAP operates under the ACM Conference Code of Conduct
(https://www.acm.org/about-acm/policy-against-harassment).
Program Chairs
• Julia Neidhardt, TU Wien, Austria
• Sole Pera, TU Delft, The Netherlands
Track Chairs
Personalized Recommender Systems
• Noemi Mauro (University of Torino, Italy)
• Olfa Nasraoui (University of Louisville, USA)
• Marko Tkalcic (University of Primorska, Slovenia)
Knowledge Graphs, Semantics, Social and Adaptive Web
• Daniela Godoy (ISISTAN - CONICET/UNICEN University, Argentina)
• Cataldo Musto (University of Bari, Italy)
Intelligent User Interfaces
• Bart Knijnenburg (Clemson University, USA)
• Katrien Verbert (KU Leuven, Belgium)
• Wolfgang Wörndl (TU Munich, Germany)
Personalizing Learning Experiences through User Modeling
Oleksandra Poquet (TU Munich, Germany)
• Olga C. Santos (UNED, Spain)
Responsibility, Compliance, and Ethics
• Michael Ekstrand (Boise State University, USA)
• Peter Knees (TU Wien, Austria)
Personalization for Persuasive and Behavior Change Systems
• Federica Cena (University of Torino, Italy)
• Rita Orji (Dalhousie University, Canada)
• Jun Zhao (Oxford University, England)
Virtual Assistants, Conversational Interactions, and Personalized
Human-robot Interaction
• Li Chen (Hong Kong Baptist University, Hong Kong)
• Yi Zhang (University of California Santa Cruz, USA)
• Ingrid Zukerman (Monash University, Australia)
Research Methods and Reproducibility
• Dietmar Jannach (University of Klagenfurt, Austria)
• Alan Said (University of Gothenburg, Sweden)
Contact information: umap2023-program(a)um.org
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-------- Forwarded Message --------
Subject: [AISWorld] [DSS Special Issue CFP] Blockchain Technology and
Applications
Date: Mon, 31 Oct 2022 18:17:03 +0000
From: Fan, Shaokun <shaokun.fan(a)oregonstate.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Update: The submission system is open now. Per the DSS journal policy,
we are now processing the submissions to this special issue on a rolling
basis.
DSS Special Issue on Blockchain Technology and Applications
Blockchain technology has received enormous attention since Bitcoin was
launched in 2009 and has become the frontier of technology advancements
and application innovations in recent years (Ilk, et al., 2021; Kumar et
al., 2020; Shang et al. 2022; Zhang et al. 2021). In particular,
blockchain is now recognized as a critical part of the new ABCD of
modern technology, that is, Artificial intelligence, Blockchain, Cloud
computing, and big Data. However, many research challenges and
opportunities remain to be tackled and surmounted in areas such as
blockchain infrastructure decentralization, blockchain network
governance, blockchain security and privacy, and the nature of machine
trust in blockchain-based systems. Because blockchain is an integral
part of automated business processes, the implementation of this
technology can vary greatly between organizations across different
industries.
The aim of this special issue is to highlight novel and high-quality
research in blockchain technology and applications, and to examine the
current and future impact of blockchain systems, and related
technologies including data verification before block confirmation,
authentication of data ownership, and dataflow across blockchain
systems. Considering the decision-making focus of DSS publications that
bridge the gap between managerial and technical perspectives, this
special issue is open to all manuscripts that make a significant
research contribution to blockchain systems and applications in business
sectors such as finance, insurance, healthcare, manufacturing, supply
chain, education, and government.
In terms of research paradigm, we invite manuscripts with system-based
implications that draw on various analytical, empirical, and technical
methodologies including, but not limited to, system development,
econometrics, decision theory, operations management, experimentation,
and engineering. We strongly encourage submissions that follow a design
science research perspective (Hevner et al. 2004), which aims to develop
cutting-edge IT artifacts. That is, all technical and quantitative
research methods that are helpful in tackling real-world challenges
confronted by managers, engineers, and researchers via blockchain
technology are welcome.
Topics of interest include, but are not limited to:
* Process-aware blockchain design and management
* Blockchain applications in metaverse platforms
* Design and implementation issues in the transition from PoW to PoS
* Data management issues on the blockchain
* Security and privacy issues on the blockchain
* Design and implementation issues of Metaverse systems
* Integration of blockchain into existing business infrastructure
* Modeling, design and implementation of trust mechanisms in
blockchain-based systems
* New and faster consensus algorithms for blockchain implementation
* NFT analysis and design paradigms in various business sectors
* Blockchain-based NFT casting models and mechanisms
In case of any questions, please contact one of the following Guest
Editors (listed below) by e-mail.
Guest Editors:
Dr. Shaokun Fan
Oregon State University, Corvallis, OR, USA
Email: fans(a)oregonstate.edu<mailto:fans@oregonstate.edu>
Dr. Noyan Ilk
Florida State University, Tallahassee, FL, USA
Email: nilk(a)business.fsu.edu
Prof. Akhil Kumar
Penn State University
Email: axk41(a)psu.edu<mailto:axk41@psu.edu>
Prof. J. Leon Zhao
Chinese University of Hong Kong, Shenzhen, China
Email: leonzhao(a)cuhk.edu.cn<mailto:leonzhao@cuhk.edu.cn>
Managing Editor
Dr. Ruiyun “Rayna” Xu
Chinese University of Hong Kong, Shenzhen, China
Email: ruiyunxu(a)cuhk.edu.cn<mailto:leonzhao@cuhk.edu.cn>
Associate Editors of the Special Issue
* Adams, Michael, Queensland University of Technology, Brisbane, Australia
* Carvalho, Arthur, Miami University, Oxford, Ohio, USA
* Hu, Daning, South University of Science and Technology, Shenzhen, China
* Jiang, Qiqi, Copenhagen Business School, Frederiksberg, Denmark
* Leng, Jiewu, Guangdong University of Technology, Guangzhou, China
* Liu, Rong (Emily), Stevens Institute, Hoboken, NJ, USA
* Luo, Xin (Robert), The University of New Mexico, Albuquerque, New
Mexico, USA
* Peng, Chih-Hung, National Chengchi University, Taipei, Taiwan
* Shan, Zhe, Miami University, Oxford, Ohio, USA
* Subramanian, Hemang, Florida International University, Miami, Florida, USA
* Tan, Yinliang (Ricky), University of Houston, USA
* Wei, Chih-Ping, National Taiwan University, Taiwan
* Xue, Ling, Georgia State University, USA
* Zhang, Wenping, Remin University of China, Beijing, China
* Zhao, Xi, Xi'an Jiaotong University, China
Submission Guidelines
1. All manuscripts should be submitted through the Decision Support
Systems online submission system during October 15, 2022 – January 15,
2023. See Guide for Authors and submission details at
https://www.journals.elsevier.com/decision-support-systems
2. Submissions must fully follow the Guide for Authors for Decision
Support Systems.
3. Authors should select "Special Issue: Blockchain Technology and
Applications" as "Manuscript Type."
Important Dates:
* Submissions System opens: October 15, 2022
* Paper Submission Deadline: January 15, 2023
* Initial Screening of Submissions: January 30, 2023
* First Review Decisions: April 15, 2023
* Revision Due: June 30, 2023
* Acceptance Decisions: September 15, 2023
* Final Manuscript Due: November 15, 2023
References
Hevner, A.R., March, S.T., Park, J., and Ram, S. (2004). Design science
in information systems research. MIS Quarterly, 28(1), 75-105.
Ilk, N., Shang, G., Fan, S., and Zhao, J. L. (2021). Stability of
Transaction Fees in Bitcoin: A Supply and Demand Perspective. MIS
Quarterly, 45(2), 563-692.
Kumar, A., Liu, R., and Shan, Z. (2020). Is Blockchain a Silver Bullet
for Supply Chain Management? Technical Challenges and Research
Opportunities. Decision Sciences, 51(1), 8-37.
Shang, G., Ilk, N., and Fan, S. (2022). Need for Speed, but How Much
Does It Cost? Unpacking the Fee-Speed Relationship in Bitcoin
Transactions. Journal of Operations Management, Forthcoming.
Zhang, W., Wei, C-P., Jiang, Q., Peng, C-H., and Zhao, J. L. (2021).
Beyond the Block: A Novel Blockchain-Based Technical Model for Long-Term
Care Insurance. Journal of Management Information Systems, 38(2), 374-400.
Shaokun Fan
Associate Professor in Business Analytics
College of Business | Oregon State University
488 Austin Hall | Corvallis, OR 97331
541-737-6065 | fans(a)oregonstate.edu <mailto:fans@oregonstate.edu>
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] First Call for Papers dg.O 2023 in Tartu, Estonia
Date: Mon, 31 Oct 2022 15:10:49 +0000
From: Robert Krimmer <robert.krimmer(a)ut.ee>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Dear All,
please see below for the CfP for dg.O 2023 taking place in Tartu, Estonia.
Looking forward to many submissions,
Robert
---
First Call for Papers
dg.o 2023: 24th Annual International Conference on Digital Government
Research
Building safe and secure cross-border public services
University of Tartu, Tartu, Estonia
https://dgsociety.org/dgo-2023/https://eceps.ut.ee/research/dgo2023
The Digital Government Society (DGS) will hold the 24th Annual
International Conference on Digital Government Research – dg.o 2023 – in
Tartu, Estonia, with a special focus on building safe and secure
cross-border services. The conference main organizer is the ERA Chair of
e-governance and digital public services, Center for IT Impact Studies
(CITIS) in the Johan Skytte Institute of Political Studies at the
University of Tartu.
As the European Parliament and Council adopted the regulation
establishing a single digital gateway on 11 December 2018, it set Europe
on a very clear path of digital transformation, planned to be fully
implemented by the end of 2023. This transformative change will greatly
enhance the development of cross-border services as by then all national
online procedures will have to be made fully accessible to cross-border
users. In addition, the ‘once-only principle’ will be applied to
cross-border exchanges of evidence for a range of procedures. All of
this cannot be achieved and developed further without extensive
collaboration between private and public sectors. Specifically, the
conference aims to advance research and practice on cross-border
services in democratic digital government. The dg.o conference series is
an established forum for presentation, discussion, and demonstration of
interdisciplinary research on digital government, ICT and public
administration, political participation, civic engagement, technology
innovation, applications, and practice. Each year the conference brings
together scholars recognized for the interdisciplinary and innovative
nature of their work, their contributions to rigor of theory and
relevance of practice, their focus on important and timely topics and
the quality of their writing.
IMPORTANT DATES
* January 20, 2023: Papers, workshops, tutorials, and panels are due
* March 31, 2023: Author notifications (papers, workshops, tutorials,
panels)
* April 1, 2023: Application deadline for doctoral colloquium
* April 15, 2023: Posters and demo proposals due
* April 24, 2023: Poster/demo author notifications
* April 25, 2023: Final version of manuscripts due in EasyChair
* May 1, 2023: Doctoral colloquium notification / Early registration begins
* May 20, 2023: Early registration closes
OVERVIEW OF TRACKS
TRACK 1: Data-driven Governance through Information Retrieval and
Decision Support Systems
Track Chairs: Charalampos Alexopoulos (University of the Aegean),
Shefali Virkar (Danube University Krems, Austria)
The purpose of this track is to critically examine the interrelationship
between advanced decision support systems and big data analytics in the
pursuit of improved digital governance, together with the associated
benefits, challenges and risks. This track encourages the submission of
high-quality and original papers on the theory, experimentation, and
practice of information retrieval and decision support tools and
techniques towards better (data-driven) governance; this primarily
includes sources of textual information but could also include numerical
data and multi-modal information. This track addresses a range of
similar or related research questions, topics and practices regarding
sophisticated information retrieval infrastructures and advanced
decision systems, support tools and services.
TRACK 2: Collaborative Intelligence: Humans, Crowds, and Machines
Track Chairs: Helen K. Liu (National Taiwan University, Taiwan), Lisa
Schmidthuber (WU Vienna University of Economics and Business, Austria),
Seok-Jin Eom (Seoul National University, South Korea)
The collaborative intelligence track aims to investigate how human,
crowd, and machine can complement each other to enhance public services
and policies, such as healthcare services, citizen-government
communication, bias and discretion reduction, smart city planning, etc.
However, while the adoption of AI may enhance the citizens’
participation experience, there are potential ethical issues and
implementation challenges in designing an optimal collaborative
intelligence that includes both human collective intelligence and
artificial intelligence. The collaborative intelligence track invites
researchers and practitioners to accumulate scholarly papers that
explore the interactions of human, crowd, and/or machine. Possible
topics include strategies for collaborative intelligence or platforms in
the public sector, designs for machine and human interaction in public
services or policy making, comparisons of outputs and bias from AI,
experts, and/or collective intelligence, values in collaborative
intelligence management and governance, best practices of collaborative
intelligence in the public sector, ethical concerns or guidelines for
applying collective intelligence, or other similar topics and relevant
approaches.
TRACK 3: Innovative Services in Government: When Data-Driven Services
Meet Evidence-Based Policy
Track Chairs: Hsin-Chung Liao (National Chengchi University, Taiwan),
Hsien-Lee Tseng (National University of Taiwan, Taiwan)
The Innovative Services in Government track aims to investigate how
public sectors can complement Services and policies by Information and
Communication Technologies (ICTs), such as MyData, Once Only Principle
(OOP), and application of single digital gateway, etc. To trigger these
convenience services, civics data sometimes needs to exchange within
government sectors (G2G), or to provide to private service providers
(C2G2B). EU has published OOP which is to be fully implemented by the
end of 2023. In 2019, the U.S. launched OPEN Government Data Act, taking
a step further on implementation of opening government data. The
Innovative Services in Government track invites researchers and
practitioners to accumulate scholarly papers that explore the
interactions of data application, data governance, and/or data policy.
Possible topics include strategies for government open data sharing,
data-driven services, data Principles, and best practices of public and
private sector collaboration on data implementation, or other similar
topics and relevant approaches.
TRACK 4: Cybersecurity in Public and Nonprofit Organizations
Track Chairs: Sukumar Ganapati (Florida International University, USA),
Chris Reddick (University of Texas at San Antonio, USA), Michael Ahn
(University of Massachusetts Boston, USA)
Cybersecurity has gained a renewed and increased significance for public
and nonprofit agencies as they have been major targets of various cyber
attacks, particularly in the context of work environments during the
Covid-19 pandemic. As these agencies transitioned their operations from
face to face work schedules to work from home during the pandemic, they
have had to cope with increased security risks with digitization of
their programs and provision of online services. Without adequate
cybersecurity, the agencies are vulnerable. Ransomware attacks, for
example, could cripple critical programs (e.g. education) and services
(e.g. utility). Cybersecurity is not only a technical problem, but also
an organizational issue. This track will examine the pedagogical, public
policy, and organizational dimensions of cybersecurity in this context.
What are the educational implications for public administrators and
nonprofit managers? What are the strengths and weaknesses of the various
cybersecurity frameworks (e.g. “zero trust”)? Are cyber-insurance
policies adequate measures? What are the elements of organizational
cyber-resilience? We invite papers that broadly deal with these
questions in the context of public and nonprofit organizations.
TRACK 5: Design Models and Platforms for Trust Enhancing Smart Cities
Track Chairs: Leonidas Anthopoulos (University of Thessaly, Greece),
Soon Ae Chun (City University of New York, USA)
Smart city utilizes the ICT to enhance living of local communities and
make city operations sustainable against current and future challenges.
The recent COVID-19 pandemic rapidly had to transition cities to virtual
spaces where the ICT became the platform for work, socialization and
transactions. However, this transformation did not utilize the smart
city infrastructure designed with purpose for overall planning. The
post-pandemic period finds cities to define their future strategies for
transformation and innovations to serve citizens and businesses with the
smart city infrastructure equipped with more advanced intelligent
technologies to make cities more resilient to adversities and to promote
better life. Citizens and the private sectors will be heavily rely on
the smart city infrastructure.
TRACK 6: Social Media and Government
Track Chairs: Rodrigo Sandoval-Almazan (Universidad Autonoma del Estado
de Mexico, Mexico), J. Ignacio Criado (University of Madrid, Spain) and
Loni Hagen (University of South Florida, USA)
The implications of social media and government are evolving with the
evolution of technologies and advances in the field. As it has been
experienced during the last years, this area of digital government
research is one of the most dynamic as new platforms, metrics,
audiences, uses, or impacts emerge almost every year. Recently, we have
learned that opportunities for innovation and potential challenges
emerge from the last evolutions of social media and government. Here,
issues regarding TikTok or virtual reality, among other social platforms
and areas, have abruptly emerged as a global players in the
entertainment sector, promoting government and other actors to engage
with new audiences. Finally, new political challenges, including the
polarization of the public sphere, raise concerns about the potential
harm of social media for our democratic communities. For this year's
theme, we especially will welcome papers related to safe and secure
cross-border services and collaboration through social media platforms.
In addition, we are open to other aspects of governments' service
delivery and social media, including theoretical and conceptual
advancements, methodological and data innovations, or case and practical
implications coming from diverse contexts. We will welcome papers on
both traditional and emerging issues, including opportunities, risks,
and policies in public services delivery in cross-national contexts,
social media motivations to use and audiences, political mobilizations
and polarization, social media contents and sentiment analysis, fake
news, artificial intelligence and algorithms-based systems and virtual
agents in government, instant messaging apps in government,
entertainment platforms for political engagement, or social media for
crisis and emergency management. Also, we will continue working on
including exciting research questions, rigorous empirical studies, and
in-depth case studies to enrich the theories, research methods, data,
and available cases and practical applications in this resea
rch area.
TRACK 7: Cross-border governance and service impact assessment
Track Chairs: Robert Krimmer (University of Tartu, Estonia), Mihkel
Solvak (University of Tartu, Estonia) & Carsten Schmidt (University of
Tartu, Estonia)
Fitting with the core theme oft he conference, the recent policy and
regulatory initiatives of the EU, such as Digital Single Market
Strategy, Single Digital Gateway, European Interoperability Framework
and eIDAS 2.0, identify the need for digital cross-border integration in
the EU. The achievement of the digital single market within the EU is
challenging governments at all levels to transform or update their
governance systems in order to establish the cross-border e-governance.
The Single Digital Gateway Regulation (SDGR) and the underlying
Once-Only Principle (OOP) outline that businesses and citizens in
contact with public administrations must provide data only once. Until
now many MS and associated countries have started to implement the OOP
at the national level, but the cross-border implementation is still a
work in progress. The SDGR as one of the cornerstones of the Digital
Single Market for the EU will bust this development. This track will
examine whether, and how these initiatives can foster further
integration into a digital single market.
TRACK 8: Developing active citizenship to boost citizen engagement
through digital government
Track Chairs: Edimara M. Luciano (Pontifical Catholic University of Rio
Grande do Sul, Brazil), Gabriela V. Pereira (Danube University Krems,
Austria), Carmine Bianchi (Università degli Studi di Palermo, Italy)
Citizen engagement has been mentioned as a barrier in several research
focused on collecting more benefits from digital government strategies.
Making public institutions open and transparent, and generating public
value is a massive challenge that cannot prescind citizens’
participation in the process of thinking, discussing, modeling,
approving, implementing, and evaluating public services and solutions.
Consultation and participation processes have been bringing governments
and society closer. However, there are new challenges to face,
significantly in times when the trust of society in governments is
compromised in many parts of the world and misinformation and
disinformation issues are arising. Consequently, it is paramount to
advance on understanding of engagement as an institutional, structural,
social, cultural, and political phenomenon, as well as the individual
cognitive process to decide to get involved at all levels, from town to
nationwide public management discussion.
This track focuses on discussing citizen engagement through active
participation of citizens in the public discussion aiming at improving
digital public services and digital government impact. We invite
contributions from various backgrounds and disciplines. Topics of
interest include but are not limited to: Strengthening governance
capacities for active citizenship; Frameworks, strategies, and nudges
fostering citizen engagement; Digital government initiatives
accomplishing engagement; Collaborative governance and collective
decision-making processes; Soft policies for increasing participation
and binding decisions; Antecedents and consequents of engagement and
disengagement behavior; The role of leadership from government officials
and citizens representatives; Active citizenship opposing patronizing
approaches; Sense of belonging and social and political capital as
drivers to active citizenship; Active citizenship contributions to
social cohesion; and Engagement programs assessment.
TRACK 9: Beyond Bureaucracy: Self-Governance of the Public Sphere and
Innovative Use of Technology by Civil Society
Track Chairs: Alois Paulin (University of Public Administration and
Finance Ludwigsburg, Germany), Robert Müller-Török (University of
Public Administration and Finance Ludwigsburg, Germany), Zach Bastick
(Harvard University, USA)
The “Beyond Bureaucracy” track explores innovations in e-government and
e-democracy that place the citizen at the center of governance. While
traditional lines of inquiry at the intersection of politics and
technology focus on enhancing or supporting existing political
institutions, there is an underexplored opportunity for citizens to use
technology to shape the public sphere and to control government more
directly. Internet optimists have long anticipated new, digital models
of self-governance, including representative, direct, liquid, anarchic
models. Critics have argued that technology cannot safely or desirably
support greater citizen involvement. This track covers all aspects of
direct, futuristic, radical, exploratory, and critical approaches to
digital governance. These include the (un)desirability of using
technology to support citizen self-governance; challenges to
self-governance through technology; theoretical and empirical proposals;
assessments of technologies to support governance; the impact of
developing digital phenomena on self-governance (misinformation, bots,
digital collective intelligence); and the ethical, technological,
social, and political implications of existing and potential future
models of public governance. The track also welcomes research and case
studies on the innovative uses of technologies by NGOs and other
non-government actors. The “Beyond Bureaucracy” track serves as a
platform for pro/contra deliberations on the near and distant challenges
and potentials of e-democracy.
TRACK 10: Tech Diplomacy: global partnerships for global good
Track Chairs: Nele Leosk (Estonian Ministry of Foreign Affairs,
Estonia), Innar Liiv (TalTech, Estonia), Ingrid Pappel (TalTech, Estonia)
Digital technologies play an increasingly important role in our
economies and societies and brought new opportunities into the lives of
people around the world. That in turn also have become key competitive
parameters that can shift the balance of power as well including
challenges and obstacles presented by state security and state
censorship, media regulations, organizational culture, personnel
challenges. The goal of EU Digital Diplomacy is to secure the EU global
role in the digital world, to protect its strategic interests and to
promote its dynamic, human-centric regulatory framework for an inclusive
digital transformation[1]<about:blank%23_ftn1>. In terms of service
digitalization and digital era, there exists a wide range of approaches
based on other countries’ digitalization experiences, which might be
considered when a country embarks on their own digitalization journey.
TRACK 11: Digital Government Student Track
Track Chairs: Bettina Distel (University of Muenster, Germany), Hendrik
Scholta (University of Muenster, Germany), Karen Mossberger (Arizona
State University, USA)
This track addresses Bachelor and Master students and encourages them to
submit and present their work at the conference. With this format, we
aim to provide students with a first-hand experience of how research
works and deepen their interest in academia. We want to attract the
original work of students, facilitate a constructive and developmental
double-blind peer-review process, and subsequent publication of their
works. In contrast to the general research tracks, students will be the
first authors of the papers in this track and present their work at the
conference. We encourage supervisors to act as co-authors to ensure a
scientifically guided paper development process. All topics in the area
of digital government are welcome. For exemplary topics, please take a
look at the topics listed in the other tracks. We are open to all
conceptual and empirical papers that use all kinds of research methods.
The participation in the student track will be possible online and
offline. This track gives Bachelor and Master students the opportunity
to actively contribute to the digital government community.
TRACK 12: Assessing and Realizing Artificial Intelligence in Government
Track Chairs: Sehl Mellouli (Université Laval, Canada), Marijn Janssen
(Delft University of Technology, The Netherlands), Adegboyega Ojo
(Carleton University, Canada)
In the last years, governments are trying to increasingly using
artificial intelligence (AI) to support decision-makers and
policymakers. In this context, AI is providing several benefits to
different public services across different sectors such as finance,
healthcare, security, agriculture, transport, education, and
manufacturing. AI is based on a set of methods and techniques including
deep learning, neural networks, genetic algorithms, expert systems,
natural language processing, robotics and knowledge representation and
reasoning. These techniques are evolving rapidly and governments should
be aware of these evolutions and find the ways to effective harness and
manage them. In addition, Governments are not only looking for new
applications of AI in automated decisions and improving policy-making
but also at the impacts that AI can have on the different levels of
government. Yet realization proves to be more cumbersome and there is a
need for assessment of AI projects from various views. Hence, the
purpose of this track is to investigate how AI is being implemented and
adopted in governments at different levels, what AI is adding to
governments and how to ensure that AI adoption in government is safe and
beneficial to the public at large.
TRACK 13: Organizational Factors, Adoption Issues and Value Creation of
Digital Government
Track Chairs: Jing Zhang (Clark University, USA), Chris Hinnant (Florida
State University, USA), Luis F. Luna-Reyes (University at Albany, USA)
The adoption and implementation of new ICTs by public organizations have
been influenced by organizational factors such as the availability of
resources (i.e. funding, infrastructure, technological knowledge, and
personnel), leadership, trust, stakeholder involvement, organization’s
structure and culture, as well as inter-organizational dynamics.
Similarly, the adoption of ICTs in government and society has generated
important impacts on the organizational processes, effectiveness, and
innovativeness of public organizations, as well as the new governance
structure of the government and the societal impacts. This track
solicits research that examines the organizational factors that
influence the adoption and implementation, and investigate the impacts,
especially the value creation, of new and emerging innovative
technologies such as smart city, artificial intelligence, data
analytics, big data, open data, social media, citizen-centric
technologies, and other novel technologies. Furthermore, this track seek
research contribute the theories and practices of the adoption of
innovative policies or practices that seek to facilitate the strategic
use of various ICTs by public organizations.
TRACK 14: Blockchain-based applications for e-Government
Track Chairs: Jolien Ubacht (Delft University of Technology, The
Netherlands), Sélinde van Engelenburg (Delft University of Technology,
The Netherlands)
Blockchain (BC) and distributed ledger technology (DLT) have the
potential to improve government processes. Transactions and information
exchange between governmental organizations (G2G), between business and
government (B2G) as well as between governments and citizens (G2C) can
be transformed by using blockchain-based applications. These
applications can improve the efficiency of information exchanges (e.g.
leading to less fraud and mistakes than paper based registrations) and
can contribute to an inclusive society (e.g. by means of digital
identities). In addition blockchain-based applications can support
international public services for businesses and citizens alike. The
implementation of blockchain-based applications requires solid analysis
of the entire information chain, including the involved stakeholders and
interoperability with extant information architectures. Moreover,
blockchain initiatives have implications for citizen trust, privacy,
inclusion and participation that need to be addressed in the design of
the blockchain based applications. This track invites research that
explores the impact and potential of blockchain-based applications in
G2G, B2G and C2G processes that illustrate their contribution to public
services and the creation of public values. We welcome use cases and a
diversity in research designs, approaches and methodologies.
TRACK 15: Mobile Government and Cross-border Service Interoperability
Track Chairs: Thomas J. Lampoltshammer (Danube University Krems,
Austria), Herbert Leitold (A-SIT, Austria), Gregor Eibl (Danube
University Krems, Austria), Stefan Dedovic (University of Tartu, Estonia)
Until now, many Member States (MS) and associated countries have started
implementing the Once-only Principle (OOP) at the national level, but
the cross-border implementation is still a work in progress. The SDGR,
one of the cornerstones of the Digital Single Market for the EU, will
bust this development. There is considerable potential to accelerate
national and cross-border OOP scenarios and thus directly benefit the
citizens via mobile government services, as the penetration rate of
mobile subscribers within the European population is at around 86%, with
significant growth rates in the eastern MS. Combined with the increasing
need for mobility concerning employment and education, safe, resilient,
and sustainable mobile communication is key to tapping into this
potential. Hence, in this track, we want to highlight strengths and
weaknesses related to the digital transformation and, more specifically,
the transition not only into eGovernment but also mGovernment, including
facets of the OOP, electronic identification (eID), and SDGR. A
particular focus will be set on technical and legal aspects, as well as
on governance issues.
TRACK 16: Digital Government and Sustainable Development Goals
Track chairs: Rony Medaglia (Copenhagen Business School, Denmark),
Gianluca Misuraca (Universidad Politécnica de Madrid, Spain)
The United Nations' Sustainable Development Goals (SDG) are shaping the
global agenda in multiple areas, including public opinion, policy, and
research. The 17 SDGs, detailed in 169 targets, have an ambition of
linking separate goals of sustainable development across different
areas, into a unitary vision. The main consequence of this new vision
has been to move the focus beyond the individual instances of e.g.,
environmental impacts of human activities, or economic inequalities, and
to link them in a coherent system within the framework of the Agenda for
the Sustainable Development 2030.
Digital government can act as enabler to sustainability, equity and
social inclusion and it represents a cross-cutting objective across
several SDGs at both sectoral and horizontal level, with a crucial
importance in particular for the goal 16 that aims to ´Promote peaceful
and inclusive societies for sustainable development, provide access to
justice for all and build effective, accountable and inclusive
institutions at all levels´. This track invites contributions focusing
on the potential benefits and challenges of digital government in
supporting the achievement of SDGs and the role of digital technologies
to sustain policy developments at both horizontal and sectoral level,
including in particular the impact on democratic innovation and
institutional reforms of governance systems.
PRE-CONFERENCE WORKSHOPS AND TUTORIALS
dg.o workshops are half- or full-day facilitated discussions.
Discussions are typically stimulated by short presentations by workshop
participants. Individuals proposing workshops will assume the
responsibility of identifying and selecting participants for the
workshop and for conducting workshop activities. dg.o tutorials are
half- or full-day presentations or hands-on experiences offering deeper
insight into the scientific or government domains, research topics or
methods, technologies or field experiences of veteran digital government
researchers and practitioners.
PANELS
Panel proposals may address themes or topics related to any of the
tracks for the conference. Additionally, we welcome panel proposals that
put a spotlight on practice and application. Proposals from
practitioners at all levels of government featuring experiences with,
perspectives on, and evaluations of digital government practice are
encouraged. Individuals interested in submitting panel proposals are
invited to consult the panel co-chairs about their ideas prior to
developing their submissions.
POSTERS AND SYSTEM DEMONSTRATIONS
The poster session, held in conjunction with the system demonstrations,
allows presenters to discuss research in progress, application projects,
or government policies and program initiatives in one-to-one
conversations with other participants at the conference.
DOCTORAL COLLOQUIUM
The doctoral colloquium is a full-day and highly interactive full-day
forum in which Ph.D. students meet and discuss their work with each
other and with senior faculty from a variety of disciplines associated
with digital government research. We welcome applicants from a broad
range of research areas relevant to digital government.
PUBLICATIONS
All accepted management or policy papers, research papers, student
papers, panels, posters, and system demonstrations will be published and
included in the ACM digital library and the DBLP bibliography system.
Selected papers will be invited for a journal special issue. There will
be several special issues related to the conference, including:
* Government Information Quarterly
* Digital Government: Research and Practice
* Transforming Government: People, Process, Policy
* International Journal of E-Government Research
* Information Polity
* International Journal of E-Planning Research
* International Journal of Public Administration in the Digital Age
BEST PAPER AWARDS
Outstanding achievement awards will be presented in the categories
Research papers, Management, Case Study and Policy papers, Posters, and
System demonstrations. Papers that reflect the main theme of the
conference, Digital Innovations for Public Values: Inclusive
Collaboration and Community, will be preferred. Other selection criteria
include the interdisciplinary and innovative nature of the work, its
contribution to and balance between theory (rigor) and practice
(relevance), the importance and reach of the topic, and the quality of
the writing for communicating to a broad audience.
SUBMISSION TYPES AND FORMATS
* Research papers
* Management, Case Study, or Policy papers
* Panel descriptions
* Posters
* System demonstrations
* Pre-Conference tutorial proposals
* Pre-Conference workshop proposals
* Doctoral colloquium application
Submission Site: https://easychair.org/conferences/?conf=dgo-tartu-2023
Submissions need to follow the guidelines established for the dg.o
conference. Detailed instruction and ACM conference proceedings template
will be available on conference website http://dgsociety.org/dgo-2023/
under "submission guidelines".
Research, Management, Case Study, and Policy papers will be reviewed
through a double-blind review process. Therefore, author names and
contact information must be omitted from all submissions. Authors must
identify the topic(s) being addressed in the paper to assist the program
committee in the review process.
All other submissions should use ACM proceedings submission template but
include author names.
At least one author is expected to attend the conference to present the
work. All accepted submissions require at least one author to be
registered for the conference for it to be included in the conference
proceedings. The authors of more than two papers can register for and
present at most two co-authored papers. Third paper on, some other
coauthor registration and presentation are required.
Research papers - blind review: These submissions report innovative
digital government research results in the form of a formal scholarly
paper. Papers on any digital government topic and all research
methodologies are welcome. Relevance to digital government problems,
goals, or policies must be explicit. (Limit of approximately 8,000 words)
Management, case study, or policy papers - blind review: These
submissions describe and evaluate practical digital government projects
or initiatives, discuss major policy themes, or present and evaluate
management approaches to digital government initiatives and programs.
(Limit of approximately 5,000 words)
Panels: Proposals should include information about the theme and goals
of the panel, a summary of the digital government issues or questions
that the panel will address, statements about the value of the
discussion to conference attendees and how well suited the topic is to a
panel discussion. In addition, the proposal should include information
about the expertise of the moderator and panelists in the selected
issues. Please include names, institutional affiliations, addresses,
email, and phone contact numbers of the contact person, moderator, and
presenter(s). (Limit of approximately 1,300 words)
Posters: Summaries should outline the nature of the research, policy, or
project and describe why the work will be of interest to dg.o attendees.
Posters prepared for the conference should measure 36" x 48". Each
poster station is provided with a table and an easel. Selected poster
submissions may be asked to give an oral presentation in the conference
sessions. (Limit of approximately 1,300 words)
System Demonstrations: System demonstrations are held concurrently with
the poster session to the accompaniment of good food and professional
fellowship. The 1-2 page summaries should outline the nature of the
system and describe why the demonstration is likely to be of interest to
dg.o attendees. Demonstrations of interest include systems under
development or in active use in research or practice domains.
Submissions should include authors' names and contact information
according to that format. Each station is provided with a table, an
easel, and Internet access. Monitors will be available for rent.
Selected demo submissions may be asked to give an oral presentation in
the conference sessions. (Limit of approximately 1,300 words)
Pre-conference Tutorials: dg.o tutorials are half- or full-day
presentations that offer deeper insight into e-government research,
practice, research methodologies, technologies or field experience. In
particular, tutorials provide insights into good practices, research
strategies, uses of particular technologies such as social media, and
other insights into e-government that would benefit researchers and
practitioners. (Limit of approximately 1,300 words)
Pre-conference Workshops: We invite workshop proposals on any
e-government research or management topic. Workshops are half- or
full-day events intended to offer interactive sessions, in which the
workshop host and participants discuss and engage in activities designed
to facilitate joint learning and further exploration of a particular
subject. Individuals proposing workshops will assume the responsibility
of identifying and selecting participants for the workshop and for
conducting workshop activities. (Limit of approximately 1,300 words)
Doctoral Colloquium: The doctoral colloquium is a highly interactive
full-day forum in which Ph.D. students meet and discuss their work with
each other and with senior faculty from a variety of disciplines
associated with digital government research. Ph.D. students can submit
papers describing their planned or in-progress doctoral dissertation
covering any research areas relevant to digital government. Ideally,
student participants will have completed one or two years of doctoral
study or progressed far enough in their research to have a structured
proposal idea and preliminary findings, but have not reached the stage
of defending their dissertations. We expect students at this stage of
study will gain the most value from feedback on their work and the more
general discussions of doctoral programs and scholarly careers. See the
detailed announcement for complete information on the colloquium and how
to submit an application. Material provided in applications to the
doctoral colloquium will not be published in the proceedings. However,
we encourage students to submit finished research to one of the paper
tracks or as a poster or demo. (10 pages, not including references,
tables and figures)
CONFERENCE CHAIRS
- Robert Krimmer, University of Tartu, Estonia
- Marijn Janssen, Delft University of Technology, the Netherlands
- Helen K. Liu, National Taiwan University, Taiwan
PROGRAM CHAIRS
- Mihkel Solvak, University of Tartu, Estonia
- Loni Hagen, University of South-Florida, USA
- Hsin-chung Liao, National Taiwan University, Taiwan
POSTER CHAIRS
- Catherine L. Dumas, Simmons University, USA
- David Valle-Cruz, Universidad Autónoma del Estado de México
- David Duenas Cid, Gdansk University of Technology, Poland
DOCTORAL COLLOQUIUM CHAIRS
- J. Ramon Gil-Garcia, University at Albany, SUNY, USA
- Ida Lindgren, Linköping University, Sweden
- Gabriela Viale Pereira, Danube University Krems, Austria
LOCAL ORGANISATION CHAIR
- Elis Vollmer, University of Tartu, Estonia
FINANCE CHAIR
- Mila Gasco, University at Albany, SUNY, USA
_______________________________________________
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-------- Forwarded Message --------
Subject: Call for Papers - CSEDU 2023
Date: Sat, 29 Oct 2022 13:49:36 +0000
From: CSEDU 2023 Secretariat <cfps(a)scitevents.org>
Reply-To: csedu(a)scitevents.net
To: gustaf.neumann(a)wu.ac.at
CALL FOR PAPERS
15th International Conference on Computer Supported Education
Submission Deadline: *November 18, 2022*
*Furthermore, we would like to inform that the event will be of hybrid
nature, in the sense that online presentations of accepted papers will
be possible for those authors that are unable to travel to the venue. *
*https://csedu.scitevents.org* <https://csedu.scitevents.org>
April 21 - 23, 2023
Prague, Czech Republic
CSEDU, the International Conference on Computer Supported Education, is
a yearly meeting place for presenting and discussing new educational
tools and environments, best practices and case studies on innovative
technology-based learning strategies, and institutional policies on
computer supported education including open and distance education.
CSEDU will provide an overview of current technologies as well as
upcoming trends, and promote discussion about the pedagogical potential
of new educational technologies in the academic and corporate world.
CSEDU seeks papers and posters describing educational technology
research; academic or business case-studies; or advanced prototypes,
systems, tools, and techniques.
*CSEDU is organized in 6 major tracks:*
1 - Artificial Intelligence in Education
<https://csedu.scitevents.org/CallForPapers.aspx#A1>
2 - Domain Applications and Case Studies
<https://csedu.scitevents.org/CallForPapers.aspx#A2>
3 - Information Technologies Supporting Learning
<https://csedu.scitevents.org/CallForPapers.aspx#A3>
4 - Learning/Teaching Methodologies and Assessment
<https://csedu.scitevents.org/CallForPapers.aspx#A4>
5 - Social Context and Learning Environments
<https://csedu.scitevents.org/CallForPapers.aspx#A5>
6 - Ubiquitous Learning <https://csedu.scitevents.org/CallForPapers.aspx#A6>
*Conference Chair(s)
<https://csedu.scitevents.org/EventChairs.aspx#conference_chair>*
James Uhomoibhi, Ulster University, United Kingdom
Bruce McLaren, Carnegie Mellon University, United States
*Program Chair(s)
<https://csedu.scitevents.org/ProgramCommittee.aspx#program_chair>*
Jelena Jovanovic, University of Belgrade, FON - School of Business Adm.,
Serbia
Irene-Angelica Chounta, University of Duisburg-Essen, Germany
*In Cooperation with*
The International E-Learning Association
American Society for Engineering Education
With the presence of internationally distinguished keynote speakers:
Art Graesser <https://csedu.scitevents.org/KeynoteSpeakers.aspx#1>,
University of Memphis, United States
Barbara Wasson <https://csedu.scitevents.org/KeynoteSpeakers.aspx#2>,
University of Bergen, Norway
Proceedings will be submitted for *indexation by:*
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Engineering Index
Web of Science / Conference Proceedings Citation Index
A short list of presented papers will be selected so that revised and
extended versions of these papers will be published by Springer
<https://www.springer.com/gp/> in a CCIS Series book.
Also, another set of papers will be selected and published in a special
issue of the Springer Nature Computer Science Journal
<https://www.springer.com/journal/42979/>.
All papers presented at the conference venue will also be available at
the SCITEPRESS Digital Library
<https://www.scitepress.org/DigitalLibrary/>.
Kind regards,
Andreia Pereira
CSEDU Secretariat
*Address:* Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal
*Tel:* +351 265 520 184
*Web:* https://csedu.scitevents.org
*e-mail:* csedu.secretariat(a)insticc.org
If you no longer wish to receive mail from us, you can unsubscribe
<https://www.insticc.org/cfps/unsubscribed?idKey=t01z7p5QuV4c3lz3QwssVrqRb7a…>
-------- Forwarded Message --------
Subject: [AISWorld] CfP Special Issue on 'The Metaverse' - AIS
Transactions on Human-Computer Interaction (THCI)
Date: Fri, 28 Oct 2022 19:38:03 +0000
From: Gert-Jan de Vreede <gdevreede(a)usf.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Call for Papers - Special Issue of the AIS Transactions on
Human-Computer Interaction (THCI)
THE METAVERSE
*Aim and Purpose
The Metaverse can be viewed as the inevitable outcome of technological
advances from Web 1.0 to Web 2.0 to where we are now, the advent of Web
3.0 or the Spatial Web, where people, spaces, and things, both digital
and physical, are semantically intertwined. Socio-economic activities
will flourish in the Metaverse, creating value by establishing
on-and-off ramps between physical and digital assets.
The true value of the Metaverse may entail disruptive rather than
incremental changes. For example, accessing the Metaverse will involve
embracing new gateway interfaces like Augmented Reality (AR), Mixed
Reality (MR), Virtual Reality (VR), haptic wearables, and even
Brain-Computer Interaction (BCI). We are likely to create and hold more
value in digital assets than physical goods, moving beyond mere
comparisons of virtual products with their physical counterparts.
Undeniably, the Metaverse is upon us. Yet, research in this space is
limited, especially in areas such as the potential socio-economic value
that could be generated in the Metaverse, the way individuals are likely
to interact, collaborate and socialize in this extended reality, and the
role of emerging technologies like Artificial Intelligence (AI),
blockchain, cryptocurrencies, and Non-Fungible Tokens (NFTs) in this
space. Research in this area is needed, given the growing business
interests in Metaverse-related technological developments over the past
decade.
The goal of this THCI special issue is to invite research on the
Metaverse, especially with regard to how the confluence of emerging
technologies will shape individuals’ perceptions and behaviors in this
extended reality as well as their ensuing consequences. Potential topics
include but are not limited to:
- What are key design considerations, challenges, and solutions for the
Metaverse?
- What affordances and design elements are key success factors for
e-commerce and/or branding in the Metaverse?
- How can emerging technologies, such as Augmented Reality (AR), Mixed
Reality (MR), and Virtual Reality (VR), be seamlessly integrated into
the Metaverse? Under what contexts is each of them most relevant?
- What business models are successful for the Metaverse?
- How is value created and captured in the Metaverse?
- How do new interface devices affect individuals’ perceptions and
behaviors in the Metaverse?
- How do individuals react to anonymity, curated identity, or
transparency within the Metaverse?
- How do teams interact and function in the Metaverse?
- What is the role of data in the Metaverse?
- What are key privacy, security, and ethical considerations in the
Metaverse?
- What are the downsides of the Metaverse and why do they manifest?
- How can adverse outcomes of the Metaverse be adverted?
*Submission Guidelines:
Please follow THCI’s Instructions for Authors when preparing and
submitting manuscripts. See
https://aisel.aisnet.org/thci/authorinfo.html for details.
All manuscripts will go through a screening process by the Special Issue
Editors to assess their fit with the special issue and their readiness
to be sent out for review. Manuscripts that pass the initial screening
will go through the review process. Reviews will be conducted on a
rolling basis.
*Deadlines:
Submission system opens: November 1st, 2022
Submission system closes: March 31st, 2023
First round decision: May 31st, 2023
First round revision: June 30th, 2023
Second round decision: August 31st, 2023
Second round revision: September 30th, 2023
Final decision: October 31st, 2023
Tentative publication date December 31st, 2023
*Special Issue Senior Editors:
Lakshmi Goel, University of North Florida, USA
(l.goel(a)unf.edu)
Eric T.K. Lim, UNSW Sydney, Australia
(e.t.lim(a)unsw.edu.au)
Fiona Nah, City University of Hong Kong, Hong Kong SAR
(fiona.nah(a)cityu.edu.hk)
Shu Schiller, Wright State University, USA
(shu.schiller(a)wright.edu)
Chee-Wee Tan, Copenhagen Business School, Denmark
(ct.digi(a)cbs.dk)
GJ de Vreede, University of South Florida, USA
(gdevreede(a)usf.edu)
GJ de Vreede, PhD
Interim Dean, Muma College of Business
University of South Florida
gdevreede(a)usf.edu
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-------- Forwarded Message --------
Subject: [AISWorld] JIT Special Issue "Next-Generation Information
Systems Research Methods"
Date: Thu, 27 Oct 2022 18:58:13 +0000
From: Blohm, Ivo <ivo.blohm(a)unisg.ch>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Call for Papers for a Special Issue of the Journal of Information
Technology on:
"Next-Generation Information Systems Research Methods"
Special Issue Editors:
Ivo Blohm, University of St. Gallen - Switzerland (corresponding Special
Issue Editor: ivo.blohm(a)unisg.ch<mailto:ivo.blohm@unisg.ch>)
Susanna Ho, Australian National University - Australia
Shaila Miranda, University of Oklahoma - USA
Jan Marco Leimeister, University of St. Gallen - Switzerland
This special issue is interested in "next-generation" research methods
for studying information technology (IT) phenomena - particularly in the
information system (IS) research field. So far, IS researchers have
applied a range of quantitative, qualitative and engaged methods to
study IT-related phenomena. Quantitative IS research has often followed
a positivist approach of hypothesis testing, with sometimes
"first-generation" regression models distinguished from
"second-generation" structural equation models (Gerow et al. 2011). Data
used in such methods stems from surveys, experiments, panel studies,
etc. The primary objective of this research stream typically is theory
testing. Qualitative IS research has ranged from positivist to
interpretivist, seeking rich situated insights via case studies,
grounded theory or ethnographies. One objective of this research stream
is theory construction. Critical and emancipatory IS research adds a
strong value orientation and theoretical basis to qualitative research.
Another type of IS research seeks to generate new knowledge with
"engaged" methods like design science or action research. The objective
of this stream that differentiates it from the first two is the focus on
solving important individual, organizational or societal challenges; or
extending the boundaries of human and organizational capabilities by
creating new and innovative artifacts (Baskerville and Wood-Harper 1996;
Hevner et al. 2004).
In recent years, the scope of and possibilities for IS research have
tremendously widened. Digital IT have become mainstream at the
individual, organizational and societal levels (Burton-Jones et al.
2021). Digital IT is key to innovation in various domains from medicine
to education, from psychology to the arts. Hence, these domains have
become of interest and relevance to IS researchers, yet also overlap
with other fields and are hence interdisciplinary in nature. These
innovations are increasing the volume and variety of trace data
available to researchers but necessitate a shift in our research
practices (Johnson et al. 2019). Further, big data, machine learning
(ML) and artificial intelligence (AI) technologies provide a plethora of
powerful approaches for collecting and analysing data at a scale not
possible before such that we might need to adapt our research methods
and tools to make this data actionable and to generate novel knowledge.
These ML technologies are being applied not only to theory testing but
also to theory construction - in conjunction with or independent of
qualitative methods (Miranda et al. 2022).
This special issue focuses on the next generation of research methods to
study IT - new methods relevant to the IS research field that account
for a) the interdisciplinary nature and wider scope of IT phenomena,
and/or b) the novel capacities afforded by new technologies/techniques
(e.g., ML/AI).
The way that novel technologies and techniques afford new possibilities
is quite apparent in quantitative IS research. In contrast to
"first-generation" regression-based approaches and "second-generation"
structural equation modelling, a new generation of research methods
including the predictive analytics (Shmueli and Koppius 2011), data
mining (Smith 2020), ML (Shrestha et al. 2020) or explainable AI
(Gunning et al. 2019) come with substantial new opportunities and
challenges. For instance, these methods potentially allow for more
fine-grained measurements and analyses to extend our knowledge of
existing phenomena and may help us study novel phenomena including those
that were, methodologically speaking, "out of reach" (George et al.
2016). These technological advancements enable us to progress our
research toolkit and inform new ways of generating knowledge and
theorizing (Burton-Jones et al. 2021; Shrestha et al. 2020). Increased
recognition of abduction as a counterpart to deductive and inductive
reasoning (Behfar and Okhuysen 2018; Sætre and Van de Ven 2021) pits
concerns about practices such as HARKing (Kerr 1998) - hypothesizing
after the results are known (aka p-hacking) - believed to lead to
logically and scientifically flawed hypotheses, against concerns about
stifling the advancement of knowledge (Pratt et al. 2019). ML/AI
techniques are now so powerful that they can test millions of models on
large data sets to find the "best-matching" model (of all possible) for
what needs to be explained. This is a fundamental gear change in what
can be done with quantitative data sets, the promise and validity of
which are hotly debated (Kitchin 2014; Smith 2020).
In terms of changes to the nature of the IS domains,
qualitative-interpretative researchers seek to find new methods suitable
for the wider, interdisciplinary scope of IS research. This is done via
finding or developing analytical new grounds and looking at digital IT
differently (e.g. via sociomaterial or affordances perspectives),
seeking additional foundations in other fields (e.g., Zuboff's (2015)
political economy informed analysis of surveillance capitalism and "Big
Tech") or via the modification of methods to suit digital environments
(e.g., virtual ethnographies or computational grounded theory). Other
forms of qualitative research such as meta-synthesis, qualitative
comparative analysis and discourse analysis also seem promising and
relevant but are seldomly used in IS research. Digital IT (e.g., social
media, digital platforms, AI/ML) has increasing and substantial impacts
on society (e.g., mental health, trust in science, misinformation and
polarization, monopolization and industry disruption). Hence, ethical,
critical, value-based and political-economy questions are increasingly
and necessarily asked about digital IT. Similarly, today's pace of
innovation may also warrant novel approaches to engaged scholarship and
design science. For instance, researchers are calling for methods that
can accumulate and update evidence more effectively (Lacity et al. 2021)
and better ensure the generalizability of prescriptive knowledge
(Brendel et al. 2021; Iivari et al. 2021).
This special issue invites contributions that propose, introduce, debate
or critique novel quantitative, qualitative or design-oriented methods
research, with a focus on the "how" (i.e., origins, processes, steps of
the method) and the "why" (e.g., "rigour vs relevance" and "it is new,
but is it better" questions) these approaches should be used in IS
research. The goal of the special issue is to provide a space for
introducing and discussing innovative "next-generation" methods for
studying IT-related phenomena, relative to the IS research field.
Papers may focus on, but are not restricted to, the following themes:
* Critical reflection of research methods used in IS.
* Introducing new qualitative, quantitative or design research methods.
* Transferability of non-IS research methods such as from other fields
or praxis.
* Novel combinations of research methods such as cross-disciplinary or
mixed-method approaches.
* Innovative approaches to analyse big data.
* Approaches dealing with special types of unstructured data.
* Problems of null hypothesis testing via big data and AI/ML.
* AI, ML and explainable AI for knowledge creation and theory generation.
* Transparent, robust and replicable research designs and methodologies.
* Transferability and generalizability of insights generated with
specific methods.
* Approaches to evaluating and communicating practical relevance of
findings.
* Critical assessment of novel approaches on practical, conceptual,
ethical or philosophical grounds.
* Philosophy of science-based proposals for or critiques of methods.
* Culture and values-driven proposals for or critiques of methods.
* Methods to study the past, the present and/or the future.
Submission Guide:
* Journal of Information Technology special issue papers will go through
no more than two full rounds of peer review.
* Submissions to the Journal of Information Technology special issue
should follow the regular rules for research paper submissions,
selecting the special issue as the submission type and its corresponding
special issue editor as suggested Senior Editor to handle the submission.
* Submission system: https://mc.manuscriptcentral.com/jin
* Submission system FAQ:
https://clarivate.com/webofsciencegroup/support/scholarone-manuscripts/faqs…
* JIT homepage: https://journals.sagepub.com/home/jin
* JIT submission guidelines:
https://journals.sagepub.com/author-instructions/JIN
Submission Timetable:
* Abstract submissions: November 20, 2022. (optional; authors are
invited to submit extended abstracts of papers for early reactions)
* Special issue workshop at ICIS 2022. (online participation possible;
based on submitted abstracts, authors have the opportunity to present
and discuss their paper ideas. For more information see:
https://anu.au1.qualtrics.com/jfe/form/SV_0NZsFU8VQhuYj6m)
* First-round submissions: April 15, 2023.
* First-round decisions: July 15, 2023.
* Second-round submissions: December 15, 2023.
* Second-round decisions: February 15, 2024. (papers are either
acceptable with minor changes or rejected at this stage)
* Final versions due: May 15, 2024. (final decisions and online
publication soon afterwards)
References:
Baskerville, R. L., and Wood-Harper, A. T. 1996. "A Critical Perspective
on Action Research as a Method for Information Systems Research",
Journal of Information Technology (11:3), pp. 235-246.
Behfar, K., and Okhuysen, G. A. 2018. "Perspective-Discovery within
Validation Logic: Deliberately Surfacing, Complementing, and
Substituting Abductive Reasoning in Hypothetico-Deductive Inquiry",
Organization Science (29:2), pp. 323-340.
Brendel, A. B., Lembcke, T.-B., Muntermann, J., and Kolbe, L. M. 2021.
"Toward Replication Study Types for Design Science Research", Journal of
Information Technology (36:3), pp. 198-215.
Burton-Jones, A., Butler, B. S., Scott, S. V., and (Xin), S. 2021.
"Next-Generation Information Systems Theorizing: A Call to Action", MIS
Quarterly (45:1), pp. 301-314.
George, G., Osinga, E. C., Lavie, D., and Scott, B. A. 2016. "Big Data
and Data Science Methods for Management Research", Academy of Management
Journal (59:5), pp. 1493-1507.
Gerow, J. E., Grover, V., Roberts, N., and Thatcher, J. B. 2011. "The
Diffusion of Second-Generation Statistical Techniques in Information
Systems Research from 1990-2008", Journal of Information Technology
Theory and Application (11:4), p. 2.
Gunning, D., Stefik, M., Choi, J., Miller, T., Stumpf, S., and Yang,
G.-Z. 2019. "Explainable Artificial Intelligence", Science Robotics
(4:37), eaay7120.
Hevner, A., March, S. T., Park, J., and Ram, S. 2004. "Design Science
Research in Information Systems", MIS quarterly (28:1), pp. 75-105.
Iivari, J., Rotvit Perlt Hansen, M., and Haj-Bolouri, A. 2021. "A
Proposal for Minimum Reusability Evaluation of Design Principles",
European Journal of Information Systems (30:3), pp. 286-303.
Johnson, S. L., Gray, P., and Sarker, S. 2019. "Revisiting Is Research
Practice in the Era of Big Data", Information and organization (29:1),
pp. 41-56.
Kerr, N. L. 1998. "Harking: Hypothesizing after the Results Are Known",
Personality and Social Psychology Review (2:3), pp. 196-217.
Kitchin, R. 2014. "Big Data, New Epistemologies and Paradigm Shifts",
Big Data & Society (1:1), p. 2053951714528481.
Lacity, M., Willcocks, L., and Gozman, D. 2021. "Influencing Information
Systems Practice: The Action Principles Approach Applied to Robotic
Process and Cognitive Automation", Journal of Information Technology
(36:3), pp. 216-240.
Miranda, S., Berente, N., Seidel, S., Safadi, H., and Burton-Jones, A.
2022. "Editor's Comments: Computationally Intensive Theory Construction:
A Primer for Authors and Reviewers", MIS Quarterly (46), pp. iii-xviii.
Pratt, M. G., Kaplan, S., and Whittington, R. 2019. "Editorial Essay:
The Tumult over Transparency: Decoupling Transparency from Replication
in Establishing Trustworthy Qualitative Research", Administrative
Science Quarterly (65:1), pp. 1-19.
Sætre, A. S., and Van de Ven, A. 2021. "Generating Theory by Abduction",
Academy of Management Review (46:4), pp. 684-701.
Shmueli, G., and Koppius, O. R. 2011. "Predictive Analytics in
Information Systems Research", MIS Quarterly (35:3), pp. 553-572.
Shrestha, Y. R., He, V. F., Puranam, P., and von Krogh, G. 2020.
"Algorithm Supported Induction for Building Theory: How Can We Use
Prediction Models to Theorize?", Organization Science (32:3), pp. 856-880.
Smith, G. 2020. "Data Mining Fool's Gold", Journal of Information
Technology (35:3), pp. 182-194.
Zuboff, S. 2015. "Big Other: Surveillance Capitalism and the Prospects
of an Information Civilization", Journal of Information Technology
(30:1), pp. 75-89.
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-------- Forwarded Message --------
Subject: [AISWorld] CFP - Information Systems Journal Special Issue on
Decoloniality in Information Systems Research
Date: Wed, 19 Oct 2022 21:39:55 +0000
From: Chughtai, Hameed <h.chughtai(a)lancaster.ac.uk>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
We are excited to announce our call for papers for a special issue of
the Information Systems Journal on “Decoloniality in Information Systems
Research”. We welcome all topics and methods related to decoloniality in
the context of information systems research.
Special Issue Guest Editors
Hameed Chughtai, Lancaster University, UK
Amber Grace Young, University of Arkansas, USA
Topics of Interest
We welcome all topics and methods related to decoloniality in the
context of information systems research. The main topic of research
should be decoloniality and a paper should have a strong IS component.
Contributions should be made to both IS research and decolonial
research. Some examples of topics that would be appropriate include, but
are not limited to, the following:
- Decolonial research that values and extends local and Indigenous
philosophies
- Decolonial work that brings a marginalized view to the centre
- Decolonial approaches to design and human-computer interaction
- Decolonial perspectives on sustainability, the natural environment,
and technology
- The politics of the digital divide
- Decolonial perspectives on race and oppression (e.g., Black
narratives, algorithmic profiling and surveillance)
- Decolonial perspectives on the human body, bodily practices (including
disability), and gender
- The production and transmission of technology mediated colonial
differences (e.g., socio-digital inequalities)
- New forms of coloniality using data colonialism, and colonial
differences in physical, digital, or virtual spaces
- Colonial power differentials in the research setting
- Data justice and injustice
- Digital activism and social movements that push back against or
reinforce colonial ideologies (e.g., the Natural Hair Movement,
nationalist movements)
- Critical reflective accounts from settler and colonizer perspectives
in digital society or organizations
- The presence of colonial gaze and how it influences and is influenced
by technology
- Epistemic violence and resistance, such as the ways of restoring local
knowledge
- The connections between critical theory and conceptual paradigms that
are based on the critique of colonialism
For any queries about the suitability of your work for the special
issue, please contact the special issue guest editors.
Submission
We welcome all types of original completed research including
theoretical, empirical, practitioner, and method papers. Stand-alone
reviews and opinion pieces will not be considered. We strongly encourage
first-time authors and interdisciplinary teams to submit their work.
Indicative Timeline
The special issue deadlines are below and will not be extended.
Submission of extended abstract (optional): Feb 28, 2023
Submission of manuscript: May 31, 2023
Guest Associate Editors
- Antonio Diaz-Andrade, Auckland University of Technology, New Zealand
- Pitso Tsibolane, University of Cape Town, South Africa
- Andrea Jimenez, University of Sheffield, UK
- Thema Monroe-White, Berry College, USA
- Silvia Masiero, University of Oslo, Norway
- Petros Chamakiotis, ESCP Business School, Spain
- Mihoko Sakurai, International University of Japan, Japan
- Angsana Techatassanasoontorn, Auckland University of Technology, New
Zealand
- Dimitra Petrakaki, University of Sussex, UK
- Brad McKenna, University of East Anglia, UK
- Caroline Pade Khene, De Montfort University, UK
Please see the full call for papers for more information.
https://lnkd.in/eYwkXaW6
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