-------- 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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-------- Forwarded Message --------
Subject: [AISWorld] Reminder: "Adressing Diversity in Digitalization",
submissions open until July 15 (HICSS)
Date: Thu, 02 Jul 2020 09:51:44 +0200
From: Rothe, Hannes <Hannes.Rothe(a)fu-berlin.de>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
CC: Sundermeier, Janina <janina.sundermeier(a)fu-berlin.de>, Yolande Chan
<ychan(a)queensu.ca>
Dear colleagues,
How do we and how should we "Address Diversity in Digitalization"? The
relevance of this topic should go without question, given the terrifying
news but also hopeful up-rise of new movements that we have seen in
recent weeks.
We would like to invite you to discuss this with us and the IS community
at this HICSS mini track. There are about two weeks left until
submission deadline on July 15. My dear colleagues, Janina Sundermeier
(Freie Universitat Berlin), Yolande Chan (Queen's University), and I
invite you to submit your research to:
ADDRESSING DIVERSITY IN DIGITALIZATION
In this mini track, we invite scholars to advance our theoretical
knowledge on inclusive design and application processes, practices and
routines of organizing data and information systems that consider the
role of diversity, and more generally submissions that advance our
knowledge on the relationship between digitalization and diversity,
which lead towards products and services that represent the needs and
wants of diverse societies. We are open towards diverse methodological
and theoretical approaches and welcome contributions from scientists and
practitioners likewise.
see
https://hicss.hawaii.edu/tracks-54/knowledge-innovation-and-entrepreneurial…
Contributions to this minitrack may include, but are not limited to:
DESIGN PERSPECTIVES
Understanding practices that address diversity issues in designing
digital artifacts
Theorizing challenges related to the consideration of different
dimensions of diversity in designing digital artifacts
Understanding implications of considering and neglecting societal
diversity in designing digital artifacts
ORGANIZING PERSPECTIVES
The role of individual identity and diversity in routines and practices
associated with the design and application of information systems and data
The role of individual identity and diversity in organizational
capabilities related to digitalization
The role of individual identity and diversity in knowledge sharing and
application related to digitalization
Examinations of the relevance of attitudes towards diversity and
potential tensions in these regards among employees in digital ventures
Overview of theoretical advances on diversity and its understanding in
IS research
Field studies in the topics above
IMPACT PERSPECTIVES
Understanding outcomes of (less) inclusive design processes and
organizing practices (e.g. for marginalized or disadvantaged groups)
Highlighting the consequences of missing diversity reflections in design
processes for digital artifacts across levels of analysis (e.g.
designer, venture, society)
Development of theoretical frameworks that allow to holistically capture
impacts of (less) inclusive design practices for digital artifacts
Minitrack Co-Chairs:
Janina Sundermeier (Primary Contact)
Freie Universität Berlin
janina.sundermeier(a)fu-berlin.de
Hannes Rothe
Freie Universität Berlin
hannes.rothe(a)fu-berlin.de
Yolande Chan
Queen’s University
ychan(a)queensu.ca
Stay safe and all the best,
Hannes
---
Prof. Dr. Hannes Rothe
Assistant Professor for Educational Service Engineering and
IT-Entrepreneurship
Founder | Digital Entrepreneurship Hub
Department of Information Systems
Freie Universität Berlin
Tel: +49 (0)30 838 51985
Location: Garystr. 21, 14195 Berlin (Room 311)
Mail:
hannes.rothe(a)fu-berlin.de<https://exchange.fu-berlin.de/owa/UrlBlockedError.aspx>
Web: http://www.wiwiss.fu-berlin.de/rothe and
http://www.de-hub.org<www.de-hub.org>
----
Sign up for our Newsletter about Entrepreneurship Education for
researchers & scientists<http://eepurl.com/dtyvx1>
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-------- Forwarded Message --------
Subject: [WI] [2nd CfP] ICLP DC 2020 - 16th Doctoral Consortium (DC) on
Logic Programming
Date: Wed, 1 Jul 2020 18:46:30 +0200
From: Laura Pandolfo <lpandolfo(a)uniss.it>
Reply-To: Laura Pandolfo <lpandolfo(a)uniss.it>
To: wi(a)aifb.uni-karlsruhe.de
***
ICLP DC 2020 - 16th Doctoral Consortium (DC) on Logic Programming
***
The 16th Doctoral Consortium (DC) on Logic Programming provides students
with the opportunity to present and discuss their research directions,
and to obtain feedback from both peers and experts in the field. The
preliminary website of the DC can be found at:
https://sites.google.com/view/iclp-dc-2020/iclp-2020-doctoral-consortium
The DC will take place during the 36th International Conference on Logic
Programming (ICLP) https://iclp2020.unical.it/ (September 18-24, 2020),
hosted by the University of Calabria, Italy, as a fully virtual event.
The best paper from the DC will be given the opportunity to make a
presentation in a session of the main ICLP conference.
We aim to find sponsoring to cover the registration cost of students
participating in the DC, but this still has to be confirmed.
Important Dates
Paper submission: July 11, 2020
Notification: July 25, 2020
Camera-ready copy: August 6, 2020
DC presentations: Sunday, September 20, 2020 (fully virtual event)
However, DC students are highly recommended to attend the Autumn School
on Logic Programming and Constraint Programming on: Friday and Saturday,
September 18-19, 2020:
https://sites.google.com/view/iclp-dc-2020/autumn-school-on-logic-programmi…
Audience
The DC is designed for students currently enrolled in a Ph.D. program,
though we are also open to exceptions (e.g., students currently in a
Master's program and interested in doctoral studies). Students at any
stage in their doctoral studies are encouraged to apply for
participation in the DC. Applicants are expected to conduct research in
areas related to logic and constraint programming; topics of interest
include (but are not limited to):
Theoretical Foundations of Logic and Constraint Logic Programming
Sequential and Parallel Implementation Technology
Static and Dynamic Analysis, Abstract Interpretation, Compilation
Technology, Verification
Logic-based Paradigms (e.g., Answer Set Programming, Concurrent Logic
Programming, Inductive Logic Programming)
Innovative Applications of Logic Programming
Submissions by students who have presented their work at previous ICLP
DC editions are allowed, but should occur only if there are substantial
changes or improvements to the student's work. The DC offers
participants a convenient, more informal way to interact with
established researchers and fellow students, through presentations,
question-answer sessions, panel discussions, and invited presentations.
The Doctoral Consortium will also provide the possibility to reflect -
through short activities, information sessions, and discussions - on the
process and lessons of research and life in academia. Each participant
will give a short, critiqued, research presentation.
Discussants
Renowned experts and researchers in the fields of logic and constraint
programming will join in evaluating submissions and will participate in
the DC, providing valuable feedback to DC participants.
Goals
To provide doctoral students working in the fields of logic and
constraint programming with a friendly and open forum to present their
research ideas, listen to ongoing work from peer students, and receive
constructive feedback.
To provide students with relevant information about important issues for
doctoral candidates and future academics.
To develop a supportive community of scholars and a spirit of
collaborative research.
To support a new generation of researchers with information and advice
on academic, research, industrial, and non-traditional career paths.
Submission Details
The DC is designed for students currently enrolled in a Ph.D. program,
however Master's students who are actively involved in research (please
see the list of topics below) can also participate in the DC program.
Applicants are expected to conduct research in areas related to logic
and constraint programming.
Topics included, but not limited to:
Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge
representation.
Languages: Concurrency, Objects, Coordination, Mobility, Higher Order,
Types, Modes, Assertions, Modules, Meta-programming, Logic-based
domain-specific languages, Programming Techniques.
Declarative programming: Declarative program development, Analysis, Type
and mode inference, Partial evaluation, Abstract interpretation,
Transformation, Validation, Verification, Debugging, Profiling, Testing,
Execution visualization.
Implementation: Virtual machines, Compilation, Memory management,
Parallel/distributed execution, Constraint handling rules, Tabling,
Foreign interfaces, User interfaces.
Related Paradigms and Synergies: Inductive and Co-inductive Logic
Programming, Constraint Logic Programming, Answer Set Programming,
Interaction with SAT, SMT and CSP solvers, Logic programming techniques
for type inference and theorem proving, Argumentation, Probabilistic
Logic Programming, Relations to object-oriented and Functional programming.
Applications: Databases, Big Data, Data integration and federation,
Software engineering, Natural language processing, Web and Semantic Web,
Agents, Artificial intelligence, Computational life sciences, Education,
Cybersecurity, and Robotics.
Submissions of the research summary must be made in EPTCS format
(http://info.eptcs.org/) and submitted via EasyChair. All papers must be
written in English and should be between 5 and 10 pages. For all
accepted DC papers, the student is required to attend the DC program and
give a presentation during the DC. A program committee consisting of
experts in various areas related to logic and constraint programming
reviews the submissions. Papers are reviewed by at least two, and
usually three, referees.
The submission package should consist of the research summary in the
format mentioned above, a short vita or cover letter of the applicant, a
letter of recommendation from applicant's faculty advisor, and one
paragraph statement outlining how the school will benefit the applicant.
All material is to be submitted electronically, in PDF format on the
Easychair system.
Easychair link: https://easychair.org/conferences/?conf=iclp20200
(Doctoral Consortium track)
Research summary (make sure to include your complete name, address, and
affiliation):
The body of your research summary (no more than 10 pages, but 5 is fine
as well!) should provide a clear overview of your research, its
potential impact, and its current status. You are encouraged to include
the following sections:
Introduction and problem description
Background and overview of the existing literature
Goal of the research
Current status of the research
Preliminary results accomplished (if any)
Open issues and expected achievements
Bibliographical references
Review Criteria
The DC program committee will select participants based on their
anticipated contribution to the DC objectives. Participants typically
have settled on their thesis directions and have their research proposal
accepted by their thesis committee. Students will be selected based on
clarity and completeness of their submission package, relevance of their
research area w.r.t. the focus of ICLP, stage of research,
recommendation letter, and evidence of promise towards a successful
career in research and academia, such as published papers or technical
reports.
Registration
Registration is part of the ICLP 2020 registration.
Registration costs for ICLP will be lower than usual since it is virtual
this year. We aim to find sponsoring to cover the registration cost of
students participating in the DC, but this still has to be confirmed.
Program co-chairs
Bart Bogaerts, Vrije Universiteit Brussel
Daniela Inclezan, Miami University
Program Committee
Carmine Dodaro, University of Calabria
Jorge Fandinno, Potsdam University
Fabio Fioravanti, University of Chieti-Pescara
Paul Fodor, Stony Brook University
Martin Gebser, University of Klagenfurt
Jose F. Morales, IMDEA Software Research Institute
Zeynep G. Saribatur, Vienna University of Technology
Frank Valencia, LIX, Ecole Polytechnique
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-------- Forwarded Message --------
Subject: [AISWorld] CfP: Modeling Language Engineering and Execution
(MLE'20) at MODELS'20
Date: Wed, 1 Jul 2020 17:17:36 +0200
From: Andreas Wortmann <wortmann(a)se-rwth.de>
To: aisworld(a)lists.aisnet.org
------------------------------------------------------------
CALL FOR PAPERS
------------------------------------------------------------
2nd International Workshop on
Modeling Language Engineering and Execution (MLE'20)
at MODELS'20
https://mleworkshop.github.io/
------------------------------------------------------------
Software-intensive systems are complicated, driven by the need to
integrate across multiple concerns. Consequently, the development of
such systems requires the integration of different concerns and
skills. These concerns can be covered by different domain-specific
modeling languages, with specific concepts, technologies, and
abstraction levels. This multiplication of languages eases the
development related to each individual specific concern but raises
language and technology integration problems at the different stages
of the software life cycle. To reason about the global system as a
whole, it is necessary to explicitly describe the different kinds of
relationships that exist between the different languages used in its
development. To support effective language integration, there is a
pressing need to reify and classify these relationships, as well as
the language interactions that the relationships enable. Equally, the
proliferation of domain-specific modeling languages required increases
the need for effective and efficient techniques for engineering
languages and their support infrastructures (transformations, analysis
tools, editors, execution infrastructure, debuggers, ...).
The Modeling Language Engineering and Execution (MLE) workshop aims at
bringing together researchers and practitioners working on
modeling-language and software-language engineering. It is a meeting
opportunity for Software Language Engineering (SLE) enthusiasts within
the software-modeling community.
The topics of interest for MLE 2020 include:
- Methodologies, languages, techniques, and methods for designing and
implementing (executable) modeling languages
- Composition, extension, and reuse of (executable) modeling languages and
model execution tools
- Heterogeneous modeling, simulation, and execution
- Customization of (executable) modeling languages
- Integration of (executable) modeling and programming languages
- Semantics-aware model transformations and code generation
- Scalability of model execution and execution-based model analysis
- Execution of partial and underspecified models
- Model execution with non-determinism and concurrency
- Tracing model executions and analyzing model execution traces
- Model execution tools for the (dynamic) validation, verification, and
testing of systems (e.g., model animation, debugging, simulation,
trace exploration, model checking, symbolic execution)
- Automating the development of modeling and model execution tools
Maintenance-related topics
- Evolution in the context of executable modeling (e.g., evolution of
executable modeling languages, execution semantics, executable models, model
execution tools)
- Verification of semantic conformance (e.g., among executable modeling
languages, executable models, model execution tools)
- Integration challenges for (executable) languages, from requirements to
design, for analysis and simulation, during runtime, etc.
- Case studies and experience reports on the successful or failed
adoption of
(executable) modeling in different domains
- Surveys and benchmarks on the development of (executable) modeling
languages, model execution, and model analyses
Submissions describing practical and industrial experience related to
the use of executable and/or heterogeneous modeling languages are also
encouraged, particularly regarding Cyber-Physical Systems, Industry
4.0, Internet of Things, Complex Adaptive Systems, Smart Cities and
Buildings.
------------------------------------------------------------
Workshop Format
------------------------------------------------------------
The format of the workshop reflects the goals of the workshop:
constructive feedback on submitted papers and other artifacts on the
engineering or use of modeling languages, collaborations, and
community building. Hence, there is less focus on presentations and
more focus on producing and documenting a research content that
identifies challenges, different forms of language engineering and
integration, and relates existing solutions.
The workshop consists of a morning session in which a keynote and
short presentations of the accepted papers will be given. A
significant amount of time will be reserved for discussing each paper
and their relations to each other. The afternoon is for working
sessions dedicated to open discussions of the presented contributions
and topics suggested by the participants.
------------------------------------------------------------
Submission
------------------------------------------------------------
We expect early research results about the aforementioned topics,
descriptions of problems, case studies, experience reports, or
solutions related to the topics of interest.
Each contribution must be described in 5 pages in ACM format.
Papers that describe use cases or novel approaches can be accompanied
by concrete artifacts, such as models (requirements, design, analysis,
transformation, composition, etc.), stored in a public repository.
Artifacts should illustrate any experience on the conjoint use of
different modeling languages.
All submissions have to follow the ACM format and must be submitted
electronically in PDF format via Easychair
(https://easychair.org/my/conference?conf=mle2020). They will be
evaluated by at least three members of the program committee regarding
novelty, correctness, significance, readability, and alignment with
the workshop call. Furthermore, all submissions must be original work
and must not have been previously published or being under review
elsewhere. The accepted papers will be published as ACM online
proceedings and indexed in DBLP and Scopus.
------------------------------------------------------------
Important Dates
------------------------------------------------------------
- Paper submission deadline: July 22, 2020
- Notification of acceptance: August 21, 2020
- Camera-ready deadline: August 28, 2020
- Workshop: October 18, 19 or 20, 2020
------------------------------------------------------------
Program Committee
------------------------------------------------------------
- Erwan Bousse (Université de Nantes)
- Marsha Chechik (University of Toronto)
- Federico Ciccozzi (Mälardalen University)
- Tony Clark (Sheffield Hallam University)
- Benoit Combemale (University of Toulouse)
- Jonathan Corley (University of West Georgia)
- Julien Deantoni (UNS- I3S- INRIA Sophia Antipolis Mediterranee)
- Marjan Mernik (University of Maribor)
- Gunter Mussbacher (McGill University)
- Florian Noyrit (CEA LIST)
- Richard Paige (University of York)
- Bernhard Rumpe (RWTH Aachen University)
- Matthias Schöttle (McGill University)
- Safouan Taha (CentraleSupélec, LRI)
- Federico Tomassetti (Strumenta)
- Mark van den Brand (Eindhoven University of Technology)
------------------------------------------------------------
Organizers
------------------------------------------------------------
- Andreas Wortmann (RWTH Aachen University)
- Steffen Zschaler (King’s College London)
- Taylor L. Riché (National Instruments)
--
-----------------------------------------------------------------------------------------------------------------
Dr. Andreas Wortmann | Software Engineering
Ahornstr. 55, 52074 Aachen, Germany | RWTH Aachen University
Phone +49 (241) 80-21346 / Fax -22218 | http://www.se-rwth.de
Model-Driven Development of a Digital Twin for Injection Molding
CAiSE 2020: Advanced Information Systems Engineering (2020)
https://doi.org/10.1007/978-3-030-49435-3_6
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-------- Forwarded Message --------
Subject: [AISWorld] HCOMP 2020: Call for Work-in-Progress and
Demonstration Papers
Date: Tue, 30 Jun 2020 13:41:36 +0200
From: HCOMP Publicity <hcomp.publicity(a)gmail.com>
To: AISWorld(a)lists.aisnet.org
* We apologize for cross-posting *
*** Covid-19 announcement ***
The HCOMP organisers are monitoring the ongoing situation around
Covid-19 closely. We plan to hold the conference at the same dates,
either online, or, if it‘s safe and the restrictions allow it, at the
planned venue in the Netherlands. We aim to disclose further details in
a few months. In the meantime, we’re looking forward to your submissions!
*** HCOMP 2020: Call for Work-in-Progress and Demonstration Papers ***
Hilversum, the Netherlands
October 26-28 2020
Website: https://www.humancomputation.com
Twitter: @hcomp_conf
<> <>IMPORTANT DATES - All times are midnight CEST (Amsterdam time)
August 7, 2020: Submission due
August 20, 2020: Notification of acceptance
September 20, 2020: Final camera-ready papers due
<>OVERVIEW
The Works-in-Progress and Demonstration track focuses on recent findings
or other types of innovative or thought-provoking work, hands-on
demonstration, novel interactive technologies and experiences relevant
to the HCOMP community.
We encourage practitioners and researchers to submit Works-in-Progress &
Demo Track as it provides a unique opportunity for sharing valuable
ideas, eliciting useful feedback on early-stage work, and fostering
discussions and collaborations among colleagues. To maximise visibility
this year accepted Works-in-Progress and Demonstration submissions will
also be presented with a 1-2 min PechaKucha presentation dedicated to
the Works-in-Progress & Demonstration Track within the HCOMP plenary
programme.
Submissions are welcome from any area of computer science, artificial
intelligence, and human-computer interaction, to economics and the
social sciences, all the way to digital humanities, policy, and ethics.
This year, we especially encourage work that generate new insights into
the “human computation” side of HCOMP, such as new understandings about
human cognition, human-in-the-loop intelligence systems, human-AI
interaction and collaboration, algorithmic and interface techniques for
augmenting human abilities to perform tasks, and other issues that
affect how humans collaborate with AI systems (such as bias, fairness,
and interpretability).
<>Works-in-progress
A Work-in-Progress is a concise report of recent findings or other types
of innovative or thought-provoking work relevant to the HCOMP community.
The difference between Works-in-Progress and other contribution types is
that Work-in-Progress submissions represent work that has not reached a
level of completion that would warrant the full Refereed selection
process. That said, appropriate submissions should make some
contribution to the body of HCOMP knowledge, whether realized or
promised. A significant benefit of a Work-in-Progress derives from the
discussion between the author and conference attendees that will be
fostered by the face-to-face presentation of the work. Work-in-Progress
submissions are in the form of a ~2 page extended abstract, see
Submission section.
<>Demonstrations
A demonstration is a high-visibility, high-impact forum of the HCOMP
program that allows you to present your hands-on demonstration, share
novel interactive technologies, and stage interactive experiences.
Demonstrations will showcase this year’s most exciting human computation
and collaborative human-AI prototypes and systems. If you have an
interesting prototype, system, exhibit or installation, we want to know
about it. Sharing hands-on experiences of your work is often the best
way to communicate what you have created. The demonstration submission
should describe the nature of the system as well as the expected form of
interaction with the user and the audience. If you have special
infrastructure requirements for the demonstration, please include them
in a dedicated paragraph within the submission. Demonstrations
submissions are in the form of a ~2 page extended abstract, see
Submission section.
<>SUBMISSION
All submitted Works-in-Progress and Demos must represent original work,
not previously published or under simultaneous peer-review for any other
peer-reviewed, archival conference or journal.
Submissions must be done in the form of up to 2 pages Extended Abstract
(references can extend beyond the 2 pages) via the HCOMP-20 EasyChair
Website. Submissions to Easychair is required on or before the deadline
listed above. We cannot accept submissions by e-mail or fax. Authors
will receive confirmation of receipt of their submissions, including an
ID number, shortly after submission. HCOMP will contact authors again
only if problems are encountered with papers. Inquiries regarding paper
receipt must be made no later than August 10.
<>Formatting
Extended Abstracts must be formatted in AAAI two-column, camera-ready
style; please refer to the AAAI 2020 Author Kit for details. Papers must
be in trouble-free, high-resolution PDF format, formatted for US Letter
(8.5″ x 11″) paper, using Type 1 or TrueType fonts. The AAAI copyright
block is not required for works-in-progress or demo submissions, as they
are not included in the formal proceedings. Please see below for
information about publication.
<>Supplemental Materials
Authors are invited, but not required, to include supplemental materials
such as executables and data files so that reviewers can reproduce
results in the paper, images, additional videos, related papers, more
detailed explanations, derivations, or results. These materials will be
viewed only at the discretion of the reviewers, who are only obligated
to read your paper itself.
<>NOT Anonymized
Authors should include information identifying themselves and their
institutions for single-blind review.
<>REVIEWS
Submissions to the Works-in-Progress & Demonstration Track will be
curated. This means that submissions will only be evaluated by the
Works-in-Progress & Demonstration chairs (in coordination with other
relevant conference chairs). Authors should expect to receive only very
light feedback on their submissions.
<>PUBLICATION AND PROCEEDINGS
Accepted papers will NOT be included in official conference proceedings,
and so may be submitted later to other conferences or journals for
official publication. Accepted papers will be made available online on
the conference website, and a summary of the WiP and Demo session will
be provided in the AAAI AI Magazine.
<>PRESENTING AT THE CONFERENCE
Accepted submissions will be presented at the conference in two main
modalities: 1) with a 1-2 min PechaKucha presentation in a plenary
session dedicated to the Works-in-Progress & Demonstration Track within
the HCOMP plenary programme, and 2) with an author proposed presentation
format. Authors can propose their desired presentation format(s) at the
time of submission, including (but not limited to) poster, interactive
demo, short video, short presentation, or small exhibition booth. The
eventual format(s) will be decided in cooperation between authors and
conference organizers. Authors are asked to include special requests and
requirements at the time of submission by sending an email to the chairs.
<>WORK-IN-PROGRESS AND DEMO AWARD
HCOMP 2020 will recognize one best Works-in-Progress and one best
Demonstration. Announcement of the winners will be done at the
conference in a plenary session together with the other conference
award. The Works-in-Progress and Demonstration chairs will assess the
Works-in-Progress and Demonstrations submissions to determine the
winners (considering both quality of paper submission and presentation
at the conference).
<>CONTACTS
Please contact the Works-in-progress and Demonstration Co-Chairs if you
have any questions.
Anna De Liddo, at anna.deliddo(a)open.ac.uk Alessandro Checco, at
a.checco(a)sheffield.ac.uk
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