-------- Forwarded Message --------
Subject: [AISWorld] Virtual Computing Conference 2020 - 16-17 July
Date: Tue, 7 Jul 2020 00:35:00 +0530
From: Supriya Kapoor <supriya.kapoor(a)thesai.org>
To: aisworld(a)lists.aisnet.org
Hi,
I hope this finds you safe and well; particularly during such a challenging
time for us all.
Just wanted to reach out to you regarding the Computing Conference
<https://saiconference.com/Computing>, coming up next week. This year's
edition has now gone completely virtual, but, thanks to our custom
platform, will support 26 sessions of content, virtual roundtables, a
number of video based networking options and last but the least some fun
and wellness sessions.
Vinton “Vint” Cerf, Vice President and Chief Internet Evangelist for
Google, will be delivering the opening keynote of the Computing Conference
2020. He is widely known as the "Father of the Internet"
We wanted to give you an opportunity to attend at a significantly
discounted fee of just £99. This offer runs until 10 July 2020 only.
If this is of interest, please send an email to conference(a)thesai.org
Kind Regards,
Supriya Kapoor
Computing Conference 2020
https://saiconference.com/Computing
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] AIOPS 2020 (Call for Papers)
Date: Mon, 6 Jul 2020 15:36:37 +0000
From: Bogatinovski, Jasmin <jasmin.bogatinovski(a)tu-berlin.de>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Dear researcher,
we are very excited to announce the organization of the International
Workshop for AIOPS (AIOPS2020). Following the ever greatest interest in
that area, we are strongly devoted to the appearance of high-quality
research papers aiming to depict the landscape for our community. Our
goal is to bring the community together, identify the most relevant
problems and open a possibility for further collaborations. To further
confirm our strong interest, we choose to collocate the workshop with
the A-ranked ICSOC (International Conference on Service-Oriented
Computing) 2020, Dubai, UAE, 14-17.12.2020.
Therefore, we announce our call for research papers, looking for novel
and innovative methods in the area of artificial intelligence in the
field system operation.
More information can be found at https://aiopsworkshop.github.io/
Submissions are now open at
https://easychair.org/conferences/?conf=aiops2020
The official Call for Papers can be found at:
https://easychair.org/cfp/AIOPS2020
Abstract registration deadline: August 8, 2020
Submission deadline: August 16, 2020
--------------------------------------------------------------------
*CFP*
Large-scale systems of all types, such as data centres, cloud computing
environments, edge clouds, IoT and embedded environments, are becoming
more and more complex. Managing such systems only with human resources
puts an enormous burden on the operators and scales poorly from an
economic perspective. To mitigate this issue IT operators increasingly
rely on tools from artificial intelligence for assistance.
Artificial Intelligence for IT Operations (AIOps) is an emerging field
arising in the intersection between the research areas of machine
learning, big data and streaming analytics, and the management of IT
operations. The main aim is to analyze system information of different
kinds (metrics, logs, customer input, etc) to support administrators by
optimizing various objectives like prevention of SLA violation, early
anomaly detection and auto-remediation, energy-efficient system
operation, providing optimal QoE for customers, predictive maintenance
and many more. In this field, a constantly growing interest can be
observed, and thus, practical tools are developed from both the academy
and industry sectors.
As a result, AIOps progress towards a future standard for IT operation
management. However, the combination of previously separate research
fields brings many challenges. Novel modeling techniques are needed that
help to understand the dynamics of different systems, laying out the
basis for assessing time horizons and uncertainty for imminent SLA
violations, the early detection of emerging problems, autonomous
remediation, decision making, and support, and various optimization
objectives. Furthermore, a good understanding and interpretability of
these aiding models are especially important for building trust between
the employed tools and the domain experts. This will result in faster
adoption of AIOps and further increase the interest in this research field.
The main aim of this workshop is to bring together researchers from both
academia and industry to present their experiences, results, and work in
progress in this field. We want to strengthen the community and unite it
towards the goal of joining the efforts for solving the main challenges
the field is currently facing. A consensus and adoption of the
principles of openness and reproducibility will boost the research in
this emerging area significantly.
List of topics:
Early anomaly, fault and failure (AFF) detection and analysis
Self-healing, self-correction and auto-remediation
Self-adaptive time-series based models for prognostics and forecasting
AFF identification, localization, and isolation
Root cause analysis
Adaptive fault tolerance policies
Forecasting of hardware and process quality
Decision support
Planning under uncertainty
Predictive and prescriptive maintenance
Maintenance scheduling and on-demand maintenance planning
Fault-tolerant system control
Reliability and quality assurance
Autonomic process optimization
Energy-efficient cloud operation
Autonomous service provisioning
Explainable AI for Systems
Visual analytics and interactive machine learning
Active and life-long learning
Information and communication models for AIOps systems
Platforms: Time-series DBs, Streaming, Data Lakes
AI platforms for AIOps
Design of experiment (DoE) for different use-cases, testbeds, evaluation
scenarios
Each paper will be reviewed by at least three members of the
international program committee for ensuring high quality. Paper
acceptance will be based on originality, significance, technical
soundness, and clarity of presentation. All accepted papers will be
included in the workshop proceedings published as part of the Lecture
Notes in Computer Science (LNCS) series of Springer.
Organizers,
Odej Kao, Technical University Berlin
Jorge Cardoso, Huawei Research
_______________________________________________
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-------- Forwarded Message --------
Subject: [WI] [CfP] EELP 2020 - The Second Workshop on Epistemic
Extensions of Logic Programming
Date: Fri, 3 Jul 2020 17:10:28 +0200
From: Laura Pandolfo <lpandolfo(a)uniss.it>
Reply-To: Laura Pandolfo <lpandolfo(a)uniss.it>
To: wi(a)aifb.uni-karlsruhe.de
==============================================================================
CALL FOR PAPERS
EELP 2020
The Second Workshop on Epistemic Extensions of Logic Programming
September 18-24, 2020
Rende, Italy
https://www.semsys.aau.at/events/eelp2020/
==============================================================================
AFFILIATION
This workshop is part of the International Conference of Logic Programming
(ICLP) 2020. In keeping with the main conference, the workshop will be held
as a fully virtual event this year.
AIMS AND SCOPE
Several successful logic programming languages, evidenced by the availability
of a multitude of solvers, industrial applications, and an active research
community, have been proposed in the literature. Researchers have long
recognized the need for epistemic operators in these languages. This led to a
flurry of research on this topic, and renewed interest in recent years. A
central question is that of the definition of a rigorous and intuitive
semantics for such epistemic operators, which is still subject of ongoing
research. Notions of equivalence, structural properties, and the
inter-relationships between logic programming languages and established logics
are all subjects being actively investigated. Another important topic is that
of practical solvers to compute answers to logic programs that contain
epistemic operators. Several solvers are actively developed, building on
established solvers, or using rewriting-based approaches. For practical
applications, additional language features are actively explored in order to
be able to apply epistemic extensions of logic programming langauges to
practical problems. The goal of this workshop is to facilitate discussions
regarding these topics and a productive exchange of ideas.
Topics of interests include (but are not limited to):
- Semantics of epistemic operators in logic programming
- New methods for solving epistemic extensions of logic programs
- Computational properties of epistemic extensions of logic programs
- Relating epistemic extensions of logic programs with other logic-based
formalisms
- Practical applications of logic programming extended with epistemic
extensions
- Additional language features
- Multi-paradigm problem solving involving epistemic extensions of logic
programming
- Evaluation and comparison of logic programs with epistemic extensions to
other paradigms
- Grounding of non-ground logic programs programs with epistemic extensions
SUBMISSION GUIDELINES
We welcome two categories of submissions:
- Full Papers, that is, original, unpublished research (at most 15 pages), and
- Extended Abstracts of already published research (at most 2 pages).
All submissions should be in the Springer LNCS format.
Paper submission will be handled electronically by means of the Easychair
system. All submissions will be peer-reviewed. The submission page is
available here:http://www.easychair.org/conferences/?conf=eelp2020.
EELP is a non-archival venue and there will be no published proceedings.
However, informal proceedings will be provided and the papers will be posted
informally on the workshop website. Submissions to other conferences and
journals both in parallel and subsequent to EELP 2020 are allowed.
IMPORTANT DATES
Paper submission: August 7, 2020 AoE
Notification: August 31, 2020
Camera-ready: September 11, 2020
Workshop Dates: September 18-24, 2020, as a workshop of ICLP 2020
ORGANIZERS AND CO-CHAIRS
Wolfgang Faber, University of Klagenfurt
Jorge Fandinno, University of Potsdam
Michael Morak, University of Klagenfurt
CONTACT
Please direct any questions toeelp2020(a)easychair.org.
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Konfiguration: https://www.lists.kit.edu/wws/info/wi
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codice fiscale: 00196350904
-------- Forwarded Message --------
Subject: [AISWorld] HICSS 2021 CFP Security and Privacy Challenges in
Healthcare
Date: Thu, 2 Jul 2020 13:43:24 -0700
From: Au Vo <auvo1001(a)gmail.com>
To: This is the AISWorld List Server <aisworld(a)lists.aisnet.org>
Dear Colleagues:
Please consider submitting your research to the Security and Privacy
Challenges in Healthcare at HICSS 2021 in Kauai on January 5-8, 2021 (
https://hicss.hawaii.edu/)
Digitizing healthcare services can provide many new benefits and
opportunities. However, it can also introduce new research challenges in
terms of protecting the security and privacy security of patient data and
electronic health records. Furthermore, as security incidents and breaches
continue to impact healthcare providers and organizations, patient
information continues to be at risk and such organizations are under
pressure to enhance the credibility and reliability of the health
facilities that they provide.
The Security and Privacy Challenges in Healthcare mini-track encourages
research in emerging problems and opportunities for security and privacy in
healthcare. Further, it addresses new approaches and strategies to improve
the capabilities for protecting healthcare information. Research may focus
on specific areas related to themes and issues, tools and techniques,
Mobile Health (mHealth) security and privacy, securing electronic health
records, mitigating risks, incident response, technical and legal issues
related to the security and privacy of patient healthcare data, including
data obtained through Internet of Things (IoT), cloud computing, artificial
intelligence (AI), and virtual reality (VR) technologies implemented in
healthcare.
Topics covered by the mini-track include, but are not limited to:
- Security and privacy challenges associated with Electronic Health
Records (EHR)
- Privacy concerns for patients’ data
- Security and privacy risks associated with technologies such as cloud
computing, Internet of Things (IoT), artificial intelligence (AI), and
virtual reality (VR) for healthcare
- Mobile Health (mHealth) security and privacy
- Mitigating risks in Healthcare Information Technology
- Incident response and digital forensic readiness in healthcare
- Lessons learned from recent healthcare security breaches
- EHR vendor selection and management with a focus on security and
privacy
- Legal issues and regulations
- Security Education, Training, and Awareness (SETA) programs
- Tools, techniques, and algorithms for protecting patients’ data
- Healthcare infrastructure protection
- Theoretical foundations of security and privacy for healthcare
Deadlines:
- April 20: Paper submission begins
- June 15: Paper submission deadline
- August 17: Notification of Acceptance/Rejection
- September 22: Deadline for authors to submit final manuscript for
publication
- October 1: Deadline for at least one author of accepted paper to
register for the conference
Minitrack chair:
Au Vo, PhD
Assistant Professor
Loyola Marymount University
Thanks,
-Au
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] Cfp: Responsible AI and Analytics for an Ethical
and Inclusive Digitised Society
Date: Thu, 2 Jul 2020 18:39:40 +0000
From: Dennehy, Denis <denis.dennehy(a)nuigalway.ie>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
The 20th IFIP Conference e-Business, e-Services, and e-Society I3E2021
Responsible AI and Analytics for an Ethical and Inclusive Digitised Society
1st – 3rd September 2021
NUI Galway, Galway, Ireland
www.I3E2021.com<http://www.I3E2021.com>
AI, analytics, and ICT in general, create opportunities and unintended
or negative consequences for individuals and society (cf. Ransbotham et
al., 2016; Majchrzak et al., 2016). These opportunities and consequences
have not been evenly distributed.
Despite the many personal, economic, and societal benefits offered by AI
and analytics, its use raises a variety of ethical concerns. Ethics
permeates the entire analytics process, from what data to use, to how to
represent the extracted knowledge and exploit the insights to create
economic and social value. Ethical concerns (i.e. illegitimate
surveillance, invasion of privacy, unemployment, malicious use etc.) are
frequently used to portray AI and analytics as ‘a danger to humanity’.
These concerns warrant the attention of the academic community who are
in a privileged position within society to raise awareness about the
responsible design, implementation and use of AI, analytics, and ICT.
At the same time, AI and analytics has opened new domains of exclusion
and privilege for some, leaving some individuals and communities
excluded from the digitised society. For example, digital exclusion is
part of the overall challenge of exclusion, a growing phenomenon which
carries with it a series of deteriorations in life paths (i.e. poor
lifelong earnings and an increased risk of marginalisation). There are
many who are currently excluded for reasons of low income and education,
location, culture, trust and confidence levels or various disabilities
(European Commission).
Success in the increasingly digitised society requires a comprehensive
approach to fostering an ethical and inclusive society. The 20th IFIP
Conference on e-Business, e-Services, and e-Society aims to bring
together contributions from a variety of perspectives, disciplines and
communities for the advancement of knowledge regarding Responsible AI
and Analytics for an Ethical and Inclusive Digitised Society.
To this end, we invite scholars, practitioners and research students to
submit and present their papers and findings to the 20th IFIP Conference
on e-Business, e-Services, and e-Society to be held in September 2021 at
NUI Galway, Galway, Ireland. Theoretical and empirical papers employing
quantitative, qualitative, and/or critical methods are welcomed.
Submission Guidelines
Authors should submit original, unpublished research papers. All papers
must not simultaneously be submitted to another journal or conference.
All accepted papers will be published in the conference proceedings.
Submissions should not be under consideration for any other conference
or journal outlet.
Special Issues
Authors of selected papers will be invited to submit an extended and
revised version of their paper for fast track review and publication
with the following ABS ranked journals.
* Information Systems Frontiers
* International Journal of Information Management
* Journal of Decision Systems
* Information available on conference website.
Important Dates:
* Submission date: 28th February 2021
* Notification to authors: 31st March 2021
* Camera ready submission: 30th April 2021
* Early bird registration: 10th May 2021
Conference Chairs
* Denis Dennehy, National University of Ireland Galway, Ireland
* Anastasia Griva, National University of Ireland Galway, Ireland
Conference Co-Chairs
* Yogesh, K Dwivedi, Swansea University, UK
* Matti Mäntymäki, University of Turku, Finland
* Ilias Pappas, University of Agder & NTNU, Norway
* Nancy Pouloudi, Athens University of Economics and Business, Greece
Pre-Conference Doctoral Symposium (31st August)
PhD candidates can submit a brief proposal (max 5 pages) to the Doctoral
Symposium. No extra fees included. Details available on the conference
website.
Doctoral Consortium Co-chairs
* Kieran Conboy, National University of Ireland Galway, Ireland
* Nancy Pouloudi, Athens University of Economics and Business, Greece
* Cleopatra Bardaki, Harokopio University, Athens, Greece
Program Co-chairs and Co-editors of Conference Proceedings
* Denis Dennehy, National University of Ireland Galway, Ireland
* Anastasia Griva, National University of Ireland Galway, Ireland
* Nancy Pouloudi, Athens University of Economics and Business, Greece
* Yogesh K Dwivedi, Swansea University, UK
* Matti Mäntymäki, University of Turku, Finland
* Ilias Pappas, University of Agder & NTNU, Norway
Topics of Submission
Papers employing quantitative, qualitative, and/or critical methods are
welcomed. Areas of interest include, amongst others, the following themes:
General Conference Theme
* Societal impact of AI, analytics and current or emerging technologies
or technological trends, e.g. IoT, robotics, smart cities, blockchain
* Dark-side of AI and analytics
* Innovations in AI and analytics
* AI and the future of work
* Ethical issues related to AI and analytics
* The role of AI and analytics in social inclusion/exclusion and
educational (in)equality
* Strategies (e.g. best practices, policies, and governance mechanisms)
for addressing the unintended consequences of AI and analytics
* Implications of collaborative analytics in a digitised society
Information Systems
* Sentiment analytics
* Software analytics
* Social media analytics
* Big data analytics
* ICTs for enabling smart cities
* Ethics and CSR issues related to AI and analytics
* Smart infrastructure management
* National digital and Internet policy
* Cyber security
* Blockchain
* Digital ecosystems
* Public policy for digital transformation
* Inter-organisation information systems
* Application of AI and analytics to address societal challenges
* Leveraging AI and analytics for social innovation and entrepreneurship
* Organisational learning and innovation from AI and analytics
* Human computer interaction (HCI)
* Smart AI, analytics, and ICT adoption studies
* Smart transportation and mobility
* Smart urbanisation and living
* Supply chain management
* Information dissemination
* Analysis of user generated content
* Open data initiatives
* Digital inclusion
* Business Intelligence
* Learning analytics
* e-Learning organisational issues
* Gamification
* Educational systems design
* Virtual learning environments
Ransbotham, S., Fichman, R.G., Gopal, R. and Gupta, A., 2016. Special
section introduction—ubiquitous IT and digital vulnerabilities.
Information Systems Research, 27(4), pp.834-847.
Majchrzak, A., Markus, M.L. and Wareham, J., 2016. Designing for digital
transformation: Lessons for information systems research from the study
of ICT and societal challenges. MIS Quarterly, 40(2), pp.267-277.
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] [CFP] 1st Workshop on Cyber Forensics & Advanced
Threat Investigations in Emerging Networks
Date: Thu, 2 Jul 2020 14:37:38 +0100
From: Chilean Scholar <scholarshipchile(a)gmail.com>
To: aisworld(a)lists.aisnet.org
1st International Workshop on Cyber Forensics and Advanced Threat
Investigations in Emerging Networks (CFATI 2020)
CFATI 2020 will be held in conjunction with the 11th International
Conference on Emerging Ubiquitous Systems and Pervasive Networks
(EUSPN 2020) which is co-organized on November 2-5, 2020, Madeira,
Portugal.
Scope of the workshop:
The main motivation for this Workshop is to bring together researchers
and practitioners working on cyber forensics and threat investigations
for emerging networks to disseminate current research issues and
advances. Original technical papers describing new, state-of-the-art
research will be considered. The Workshop welcomes submissions that
evaluate existing research results by reproducing experiments. The aim
of this workshop is to provide insight for the discussion of the major
research challenges and achievements on various topics of interest.
Papers on practical as well as on theoretical topics and problems in
various topics related to cyber forensics and threat investigations
are invited, with special emphasis on novel techniques and tools to
collect data from networked devices and services in emerging networks
(such as the ones can be found in cyber-physical systems and Internet
of things). Topics include (but are not limited to):
· Advanced threat investigations, forensic and anti-forensic techniques
· Cooperative and distributed forensics and threat investigations
· Data exfiltration techniques from networked devices and services
(e.g. cyber-physical systems, and Internet-of-Things)
· Attack detection, traceback and attribution in SDN, 5G and 6G
· Methods for reconstruction of internet activities in SDN, 5G and 6G
· Forensics and threat investigations in IoT
· Forensics and threat investigations in peer-to-peer, social, and
cloud networks
· Vulnerability & threat detection and mitigation techniques for
networked services
· Novel large-scale investigations techniques to analyze intelligence
data sets and logs
· Tools and services for cyber forensics and threat investigations
· VoIP forensics, VoIPoW forensics
This Year Keynote: The Cat-and-Mouse Game with iOS Forensics
by Yuri Gubanov, CEO and founder of Belkasoft
The talk will focus on the role of checkm8 exploit and checkra1n
jailbreak in facilitating the acquisition of a full file system. More
details about the Keynote on
https://cfati.conceptechint.net/program.html
Workshop Proceedings
All papers accepted for the workshop will be published by the
prestigious Elsevier Procedia Computer Science, indexed by Scopus,
Engineering Village (Ei), and DBLP. The authors must follow Elsevier
guidelines as given on the workshop website. The number of pages for
the workshop paper is limited to 6 pages
https://cfati.conceptechint.net/submissions.html
Important dates
Paper Submission: 15th July, 2020 (Extended)
Acceptance Notification: 22nd Aug, 2020
Final Manuscript Due: 30th Aug, 2020
Submission
Authors should submit their contributions electronically in PDF format
https://easychair.org/conferences/?conf=cfati2020
Selective outstanding papers
Outstanding papers presented at the workshop will have the opportunity
to be invited to submit an extended version to special issues on:
Symmetry, Open Access Journal (IF: 2.143) by MDPI
Electronics, Open Access Journal (IF: 1.764) by MDPI
Applied Sciences, Open Access Journal (IF: 2.217) by MDPI
Mathematics, Open Access Journal (IF: 1.105) by MDPI
Sensors, Open Access Journal (IF: 3.031) by MDPI
CMC-Computers, Materials & Continua, Open Access Journal (IF: 3.024)
by Tech Science Press
All accepted authors will be eligible to submit an extended version in
a fast track of:
International Journal of Cyber Forensics and Advanced Threat
Investigations (Open Access)
For further details and updates please check the workshop website
https://cfati.conceptechint.net/index.html
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] HICSS Minitrack Advances in Trust Research:
Artificial Intelligence in Organizations
Date: Thu, 2 Jul 2020 16:01:34 +0000
From: Jarvenpaa, Sirkka L <Sirkka.Jarvenpaa(a)mccombs.utexas.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Minitrack: Advances in Trust Research: Artificial Intelligence in
Organizations
TRACK: ORGANIZATIONAL SYSTEMS AND TECHNOLOGY
05-08 January, 2021
Grand Hyatt Kauai
http://hicss.hawaii.edu
Within the 54th Hawaiian International Conference on System Sciences
(HICSS), we organize a minitrack on "Advances in Trust Research:
Artificial Intelligence in Organizations". The 54th HICSS, one of the
most prominent conferences on Information Systems and Sciences
worldwide, will be held January 05-08, 2021 at Grand Hyatt Kauai
(http://hicss.hawaii.edu)<about:blank>.
Artificial intelligence (AI) is changing the relationship of humans and
machines in organizations. AI is already widely used to enhance
organizational efficiency by automating simple work tasks previously
conducted by humans. Furthermore, organizations are increasingly
exploring AI to enhance organizational effectiveness. For example, by
drawing on large datasets, AI is applied in decision making,
problem-solving, reasoning, learning and creativity in various
organizational functions including HR, production, finance, marketing,
logistics and innovation. Despite the current rapid development of
relevant technologies uncertainty prevails of the real benefits and
value created by AI. For example, opaque AI computations can hardly be
explained to internal or external stakeholders, potentially resulting in
outcomes that can hardly be trusted. The discussion of whether AI will
create a utopia or dystopia for organizations and their employees prevails.
Trust is highly relevant for understanding the adoption and related
risks and opportunities of AI in contemporary organizations. Until
recently, research on trust has been dominated by the conceptual and
empirical assessment of organisational and interpersonal trust. However,
the sources and referents of trust, and the trust mechanisms that shape
trusting beliefs and behavior are becoming more diverse, and
increasingly including complex technological referents - such as AI - as
well as the trust mechanisms that shape trusting beliefs and behavior.
In this mini-track, we aim to focus the relationship of trust and AI in
organizations.
How do new advancements in AI change the way we trust, and trust-related
processes in organizations? What forms will trust take in the context of
intelligent systems being implemented by organizations? How do decision
makers interpret and build trust in AI applications? When and how do
trust in AI, trust in organizations, trust in humans, and trust in
technology augment or substitute each other? How can we conceptualize
and measure trust in AI? What shapes trust in AI and its consequences
for organizations? What are the various risks and vulnerabilities to
trust imposed by emerging algorithmic capabilities, cloud-based
platforms, complex platform infrastructures, and highly distributed
peer-to-peer systems?
AI development and adoption requires interdisciplinary and cross-border
collaboration among analytics experts, software developers, business and
users. What kind of challenges and opportunities are involved in
augmented intelligence and related decision-making from an
organizational perspective? In what conditions do decision
makers/managers/employees trust in AI, and when in human knowledge? Is
it possible that human-like AI systems exacerbate rather than compensate
weaknesses common in trust assessments made in contemporary organizations?
We welcome papers that theoretically or empirically advance our
understanding by addressing the cross-section of the two topic areas (1)
trust research and (2) artificial intelligence in organizations. Papers
can use any acceptable methodology and/or theory.
Some possible topic areas include but are not limited to the following:
* Understanding the role of AI and trust in complex organizational
decision making
* How do AI-powered algorithmic management practices implemented by
organizations affect employee trust?
* Understanding the role of trust in the development and implementation
of the algorithmic cycle in organizations, e.g., functions, openness of
coding, data collection and implementation of new services
* Understanding trust relationships between individuals, organizations,
and emerging technologies, e.g., personal robots, smart toys, wearables,
personal voice assistants, 3D printing, autonomous vehicles, drones.
* How can organizations increase trust in opaque black-box AI algorithms?
* How can organizations maintain employee trust when introducing robots
substituting or augmenting employee work tasks?
* Understanding trust in AI in teams, problem solving and creative work
* When and how could AI as supervisor or team member build employee trust?
* How can organizations manage bias and maintain stakeholder trust in
AI-enabled decision-making?
* How do norms and policies at organizational and/or institutional level
influence trust in organizational AI development and adoption?
Minitrack Co-Chairs:
Sirkka L. Jarvenpaa (Primary Contact), McCombs School of Business, The
University of Texas at Austin,
Sirkka.Jarvenpaa(a)mccombs.utexas.edu<mailto:Sirkka.Jarvenpaa@mccombs.utexas.edu>
Mareike Möhlmann, Warwick Business School, University of Warwick,
Mareike.Moehlmann(a)wbs.ac.uk<mailto:Mareike.Moehlmann@wbs.ac.uk>
Kirsimarja Blomqvist, School of Business, LUT University,
Kirsimarja.blomqvist(a)lut.fi<mailto:Kirsimarja.blomqvist@lut.fi>
Sirkka L. Jarvenpaa is the James Bayless/Rauscher Pierce Regents Chair
in Business Administration at the McCombs School of Business, University
of Texas at Austin where she is the director of the center for Business,
Technology, and Law. During 2008-2012, she held the Finnish
Distinguished Professorship at Aalto University School of Science and
Technology. She has held visiting professorships in leading business
schools in the U.S. and Asia. She has served as the editor-in-chief of
the Journal of Association for Information Systems, co-editor-in-chief
of Strategic Information Systems, and as the senior editor of
Organization Science, Information Systems Research, and MIS Quarterly.
She is a recipient of three honorary doctoral degrees. In 2017, she was
awarded the Association for Information Systems (AIS) LEO Award for
Exceptional Lifetime Achievement in the field of information systems.
Mareike Möhlmann is Assistant Professor in Information Systems
Management at Warwick Business School. In Summer 2020 she will start a
new position as Assistant Professor at Bentley University. Previously,
she worked as a postdoctoral researcher in the IOMS Department at the
Stern School of Business/New York University. She obtained her PHD at
the University of Hamburg in Germany. Her current research focuses on
digital trust, so-called sharing economy services and the gig economy,
digital platforms, and algorithmic management.
Kirsimarja Blomqvist is a Professor for Knowledge management at the
School of Business and Management at LUT University, Finland. Her
research focuses on trust, knowledge, innovation, digitalization and new
forms of organizing. She is a founding, and board member for FINT, First
International Network for Trust researchers and serves as Associate
Editor for Journal of Trust Research and an editorial review board
member for Industrial Marketing Management, and Journal of Organization
Design. She is a frequent speaker of her research topics and a member of
the Academy of Finland Research Council for Culture and Society.
IMPORTANT DATES FOR CALL FOR PAPERS
July 15, 2020 Submission full manuscripts
August 17, 2020 Acceptance Notifications
September 22, 2020 Deadline for Final Manuscript
October 1, 2020 Deadline for at least one author to register
More info: http://hicss.hawaii.edu
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] PhD in Information Systems/Business Engineering —
Eindhoven University of Technology (TU/e) - School of Industrial
Engineering
Date: Thu, 2 Jul 2020 18:04:18 +0200
From: Oktay Turetken <o.turetken(a)gmail.com>
To: aisworld(a)lists.aisnet.org
The School of Industrial Engineering of Eindhoven University of Technology
(TU/e) has a vacancy for a PhD student in Information Systems/Business
Engineering.
More information:
https://jobs.tue.nl/en/vacancy/phd-in-information-systems-business-engineer…
======
The PhD project will be conducted at Eindhoven University of Technology,
one of the world’s leading research universities. It is well-known for its
joint research with industry. The research will be conducted at the
Department of Industrial Engineering and Innovation Sciences (IE&IS),
embedded within the Research Group of Information Systems (IS). The IS
Group studies concepts, methods, techniques, and tools for the design,
optimization, innovation, and data-driven analysis of information systems
within business networks and society. It operates in both a strong
international research network and an extensive international industry
network, particularly in the domains of mobility, health, services, supply
chains and logistics, and high-tech manufacturing.
======
*Research Project*
The PhD project will focus on the design and application of concepts,
methods, tools, or theories in either one of the broad research areas of
business process management, service systems engineering, or digital
business and platforms. In particular, two alternative research topics are
considered (which will be decided based on the candidate’s interest and
background).
The first one focuses on the governance models for digital platforms.
Digital platforms (such as Amazon, App Store, Airbnb, Uber, App Store,
Twitter) are transforming economies with new business models. Simply put,
digital platforms are socio-technical systems that allow multiple actors -
including providers and customers- to interact to co-create value. The PhD
candidate will investigate governance models for digital platforms
particularly in the mobility domain and will have the opportunity to
collaborate with a number of industry partners in a European-Union (EU)
funded project.
The second alternative focuses on developing patterns for process and/or
business model innovation. Relevant topics include digital innovation and
transformation, business model management, value co-creation, and
explorative business process management (BPM). The PhD candidate will be a
member of a young research team that has been running a series of industry
and EU-funded research projects on the above-mentioned topics in the
mobility, logistics, services, and healthcare domains.
======
Job description
You, as a successful applicant, will perform the research project outlined
above in an international research team. You will report research findings
at international conferences and workshops, and in high-quality scientific
journals. The research will be concluded with a Ph.D. thesis. A small
teaching load (on average about 10%) is part of the job description. The
project will be supervised by Dr. Alexia Athanasopoulou (
https://research.tue.nl/en/persons/alexia-athanasopoulou), Dr. Banu
Aysolmaz (https://research.tue.nl/en/persons/banu-aysolmaz), and Dr. Oktay
Turetken (https://www.tue.nl/en/research/researchers/oktay-tueretken/).
*======*
Job requirements
- You have a Master’s degree in Information Systems, Computer Science,
Business Science, Industrial Engineering, or a similar field of study.
- You have a strong affinity with interdisciplinary research that involves
both Business Science and Computer Science, as well as collaboration with
industry.
- You can work on a challenging topic that has both basic and applied
research aspects.
- You can implement ideas in software prototypes.
- Your communication skills are excellent as is your proficiency in English
and your ability to collaborate in an international setting.
======
*Conditions of employment*
We offer:
- A challenging job in a dynamic and ambitious university.
- A full-time employment for four years, with an intermediate evaluation
after one year.
- Target start date in October-December 2020.
- To support you during your PhD and to prepare you for the rest of your
career, you will have free access to a personal development program for PhD
students (PROOF program:
https://www.tue.nl/en/working-at-tue/phdpdeng/professional-development/).
- Gross monthly salary is €2325,- in the first year up to € 2972,- (gross)
in the fourth year on a full-time basis.
- Additionally, an annual holiday allowance of 8% of the yearly salary,
plus a year-end allowance of 8.3% of the annual salary.
- A broad package of fringe benefits, including an excellent technical
infrastructure, moving expenses, and savings schemes.
- Family-friendly initiatives are in place, such as an international spouse
program, and excellent on-campus children day care and sports facilities (
https://www.tue.nl/en/working-at-tue/why-tue/support-for-internationals/).
======
*Information and application*
- Do you recognize yourself in this profile and would you like to know
more? Please contact dr. A. Athanasopoulou (a.athanasopoulou(a)tue.nl) and
dr. B. Aysolmaz (b.e.aysolmaz(a)tue.nl).
- For information about terms of employment, please contact Susan
Opgenoorth, personnel officer (pz.ieis(a)tue.nl).
- More information about the Information Systems group can be found at:
https://www.tue.nl/en/research/research-groups/information-systems-ieis/.
- Further information about the Eindhoven University of Technology can be
found at http://ww.tue.nl.
You can apply by pressing the ‘apply now’ button for this vacancy on the
TU/e web-site:
https://jobs.tue.nl/en/vacancy/phd-in-information-systems-business-engineer…
The deadline for applications is **23 August 2020**.
You can only upload the maximum of 5 documents. If you have more than 5
documents you will need to combine them.
We do NOT accept applications sent by email.
======
*Application*
The application should include a:
- Cover letter (1-page max), which includes a motivation of your interest
in the vacancy and an explanation of why you would fit well for either one
of the alternative projects,
- Detailed curriculum vitae,
- List of courses you have taken in Masters and Bachelor programs
(including grades),
- Results of a recent English language test, or other evidence of your
English language capabilities,
- Name and contact information of two references.
- We look forward to your application and will screen it as soon as we have
received it. Screening will continue until the position has been filled.
==================
---------------------------------
*Oktay Turetken*
Eindhoven University of Technology
Information Systems
School of Industrial Engineering
https://www.tue.nl/en/research/researchers/oktay-tueretken/
---------------------------------
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] *New Issue* ACM Transactions on Human-Robot
Interaction 9(3) June 2020
Date: 02 Jul 2020 11:24:36 -0500
From: young(a)cs.umanitoba.ca
To: aisworld(a)lists.aisnet.org
============================================
ACM Transactions on Human-Robot Interaction
============================================
We are pleased to announce the publication of Volume 9, Issue 3, June 2020.
https://dl.acm.org/toc/thri/2020/9/3
============================================
June 2020
============================================
Robot-Centric Perception of Human Groups
Angelique Taylor, Darren M. Chan, Laurel D. Riek
Abstract: The robotics community continually strives to create robots
that are deployable in real-world environments. Often, robots are
expected to interact with human groups. To achieve this goal, we
introduce a new method, the Robot-Centric Group Estimation ...
DOI: https://doi.org/10.1145/3375798.
The Robot Makers: An Ethnography of Anthropomorphism at a Robotics Company
Bohkyung Chun, Heather Knight
Abstract: This article is an ethnographic exploration of robot
anthropomorphism at a robotics company. It draws on a 10-month
participatory ethnography among a robotics company, an anthropologist,
and a social robotics research lab. In contrast to psychological ...
DOI: https://doi.org/10.1145/3377343.
Personality Traits for a Social Mediator Robot Encouraging Elderly
Self-Disclosure on Loss Experiences
Yohei Noguchi, Hiroko Kamide, Fumihide Tanaka
Abstract: To prevent elderly people from being socially isolated,
encouraging their self-disclosure takes an important role. We discuss a
use case of social robots in which they are deployed as mediators for
humans that intermediate remote communication between ...
DOI: https://doi.org/10.1145/3377342.
Laying the Groundwork for Intra-Robotic-Natural Limb Coordination: Is
Fully Manual Control Viable?
Jacob W. Guggenheim, Federico Parietti, Tamar Flash, H. Harry Asada
Abstract: Supernumerary Robotic Limbs (SRLs) have been successfully
applied in bracing and as an assistive technology for people with
disabilities. These tasks only require perception internal to the
SRL-human system. However, SRLs show promise in applications ...
DOI: https://doi.org/10.1145/3377329.
Robot Errors in Proximate HRI: How Functionality Framing Affects
Perceived Reliability and Trust
Auriel Washburn, Akanimoh Adeleye, Thomas An, Laurel D. Riek
Abstract: Advancements within human–robot interaction generate
increasing opportunities for proximate, goal-directed joint action
(GDJA). However, robot errors are common and researchers must determine
how to mitigate them. In this article, we examine how ...
DOI: https://doi.org/10.1145/3380783.
Challenges in Designing a Fully Autonomous Socially Assistive Robot for
People with Parkinson’s Disease
Jason R. Wilson, Linda Tickle-Degnen, Matthias Scheutz
Abstract: Assistive robots are becoming an increasingly important
application platform for research in robotics, AI, and HRI, as there is
a pressing need to develop systems that support the elderly and people
with disabilities, with a clear path to market. Yet, ...
DOI: https://doi.org/10.1145/3379179.
A Conversational Robot for Older Adults with Alzheimer’s Disease
Chloé Pou-Prom, Stefania Raimondo, Frank Rudzicz
Abstract: Amid the rising cost of Alzheimer’s disease (AD), assistive
health technologies can reduce care-giving burden by aiding in
assessment, monitoring, and therapy. This article presents a pilot study
testing the feasibility and effect of a conversational ...
DOI: https://doi.org/10.1145/3380785.
============================================
ACM THRI welcomes contributions from across HRI and Robotics. For
details on the journal, information for authors, and upcoming Special
Issues, please visit the ACM THRI website: http://thri.acm.org
Odest Chadwicke Jenkins
Selma Sabanovic
ACM THRI Editors-in-Chief
James Young, University of Manitoba
ACM THRI Managing Editor
_______________________________________________
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-------- Forwarded Message --------
Subject: [WI] 2nd FashionXRecsys Workshop - RecSys Conference - 26th
September
Date: Thu, 2 Jul 2020 12:01:07 +0000
From: Shatha Jaradat <shatha(a)kth.se>
Reply-To: Shatha Jaradat <shatha(a)kth.se>
*FashionXRecsys* - Workshop on Recommender Systems in Fashion
*In conjunction with ACM RecSys 2020 (26th September 2020)*
https://fashionxrecsys.github.io/fashionxrecsys-2020/
***Important Note*** Due to concerns about COVID-19, RecSys 2020 will
cancel its physical component and go fully virtual.
We are pleased to invite you to participate in the 2nd workshop on
Recommender Systems in Fashion (FashionXRecsys) that will be held on
September 26th, 2020.
Online Fashion retailers have significantly increased in popularity over
the last decade, making it possible for customers to explore hundreds of
thousands of products without the need to visit multiple stores or stand
in long queues for checkout. However, the customers still face several
hurdles with current online shopping solutions. For example, customers
often feel overwhelmed with the large selection of the assortment and
brands. In addition, there is still a lack of effective suggestions
capable of satisfying customers’ style preferences, or size and fit
needs, necessary to enable them in their decision-making process. In
this context, recommender systems are very well positioned to play a
crucial role in creating a great customer experience in fashion.
Moreover, in recent years social shopping in fashion has surfaced,
thanks to platforms such as Instagram, providing a very interesting
opportunity that allows to explore fashion in radically new ways. Such
recent developments provide exciting challenges for the Recommender
Systems and Machine Learning research communities.
This workshop aims to bring together researchers and practitioners in
the fashion, recommendations and machine learning domains to discuss
open problems in the aforementioned areas. This involves addressing
interdisciplinary problems with all of the challenges it entails. Within
this workshop we aim to start the conversation among professionals in
the fashion and e-commerce industries and recommender systems
scientists, and create a new space for collaboration between these
communities necessary for tackling these deep problems. To provide rich
opportunities to share opinions and experience in such an emerging
field, we will accept paper submissions on established and novel ideas,
as well as new interactive participation formats.
*Suggested topics for submissions are (but not limited to):*
* Computer vision in Fashion (image classification, semantic
segmentation, object detection)
* Deep learning in recommendation systems for Fashion
* Learning and application of fashion style (personalized style,
implicit and explicit preferences, budget, social behaviour, etc)
* Size and Fit recommendations through mining customers implicit and
explicit size and fit preferences
* Modelling articles and brands size and fit similarity
* Usage of ontologies and article metadata in fashion and retail (NLP,
social mining, search)
* Addressing cold-start problem both for items and users in fashion
recommendation
* Knowledge transfer in multi-domain fashion recommendation systems
* Hybrid recommendations on customers’ history and on-line behavior
* Multi- or Cross- domain recommendations (social media and online shops)
* Privacy preserving techniques for customer’s preferences tracing
* Understanding social and psychological factors and impacts of
influence on users’ fashion choices (such as Instagram, influencers, etc.)
In order to encourage the reproducibility of research work presented in
the workshop, we put together a list of open datasets in the
fashionXrecsys website
<https://fashionxrecsys.github.io/fashionxrecsys-2020/#datasets>. All
submissions that present their work using at least one of the listed
datasets will be considered for the best paper, best student paper and
best demo awards, which will be given by workshop sponsors.
*Important Dates *
** Paper Submission deadline:* July 29th, 2020
** Author notification:* August 21st, 2020
** Camera-ready version deadline: *September 4th,2020
All deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth)
time zone.
*Paper Submission Instructions *
* All submissions and reviews will be handled electronically via
EasyChair at the following address:
https://easychair.org/conferences/?conf=fashionxrecsys2020
* Submissions should be prepared according to the ACM RecSys format
<https://recsys.acm.org/recsys20/call/>. Long papers should report on
substantial contributions of lasting value. The maximum length is 14
pages (excluding references) in the new single-column format. For short
papers, the maximum length is 7 pages (excluding references) in the new
single-column format.
* The peer review process is double-blind (i.e. anonymised). All
submissions must not include information identifying the authors or
their organisation. Specifically, do not include the authors’ names and
affiliations, anonymise citations to your previous work and avoid
providing any other information that would allow to identify the
authors, such as acknowledgments and funding. However, it is acceptable
to explicitly refer in the paper to the companies or organizations that
provided datasets, hosted experiments or deployed solutions, if
specifically necessary for understanding the work described in the paper.
* Submitted work should be original. However, technical reports or ArXiv
disclosure prior to or simultaneous with the workshop submission, is
allowed, provided they are not peer-reviewed.
* The organizers also encourage authors to make their code and datasets
publicly available.
* Accepted contributions are given either an oral or poster presentation
slot at the workshop. At least one author of every accepted contribution
must attend the workshop and present their work. Please contact the
workshop organization if none of the authors will be able to attend.
* All accepted papers will be available through the program website
<https://fashionxrecsys.github.io/fashionxrecsys-2020/>, and will be
published in a special Springer Journal issue.
*Additional Submission Instructions for Demos *
The description of the demo should be prepared according to the standard
double-column ACM SIG proceedings format
<http://www.acm.org/publications/proceedings-template> with a one page
limit. The submission should include:
* An overview of the algorithm or system that is the core of the demo,
including citations to any publications that support the work.
* A discussion of the purpose and the novelty of the demo.
* A description of the required setup. If the system will feature an
installable component (e.g., mobile app) or website for users to use
throughout or after the conference, please mention this.
* A link to a narrated screen capture of your system in action, ideally
a video. (This section will be removed for the camera-ready version of
accepted contributions.)
For any inquiries and questions, please contact us:
fashionxrecsys(a)gmail.com <mailto:fashionxrecsys@gmail.com>
Join the #fashionxrecsys community in slack by following these
instructions <https://recsys.acm.org/slack-invite/>
Kindest Regards,
FashionXRecsys Organizers
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