-------- Forwarded Message --------
Subject: [AISWorld] CfP: 12th International Conference on Software
Business ICSOB – Theme: Software Sustainability
Date: Wed, 23 Jun 2021 20:47:55 +0000
From: Sonja Hyrynsalmi <Sonja.Hyrynsalmi(a)lut.fi>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Welcome to 12th International Conference on Software Business ICSOB –
This year theme: Software Sustainability!
The 12th International Conference on Software Business ICSOB will be
organized by School of Business, University of South-Eastern Norway,
2nd-3rd December 2021. We plan for a hybrid conference with possibility
for physical meetings. However, the detailed setup is a subject to
change depending on the development of the pandemic.
Although the business of software shares common features with other
international knowledge-intensive businesses, it carries many inherently
unique features. It is making it a challenging domain for research. The
examples of many successful companies show that software provides a
unique benefit to its users. Moreover, software has spread all over the
world and has permeated in many industries, which are not usual for
software. In particular, software companies have to depend on one
another to deliver a unique value proposition to their customers or a
unique experience to their users. Companies that were engineering-driven
become software intensive and struggle to keep up with the required
speed of development and planning.
Theme of the year: Software Sustainability
Sustainability is derived from the concept of sustainable development
and is defined by the World Commission on Environment and Development as
“a process of change in which the exploitation of resources, the
direction of investments, the orientation of technological development,
and institutional change are made consistent with future as well as
present needs“. There is an urgent need for sustainability management in
many domains and areas, including software business. The special theme
of ICSOB2021 is Software Sustainability. Research about software
sustainability addresses sustainability concerns regarding aspects such
as software product, software development process, strategy and policy,
people, partnership, ecosystem, and business model.
We welcome both research and industry papers to the conference. The
papers should be original and not submitted to or accepted by any other
conference or journal. We are looking for short position and practice
papers (maximum 6 pages) that provide insights on the life cycle
management of software products and industry case studies as well as
full research papers (maximum 15 pages) describing novel approaches to
software business for software products and services.
The topics that ICSOB welcomes (but not limited to) are listed below:
• Software Sustainability – sustainability of software products,
sustainable software development, sustainable software business model,
sustainable management in software development and operation
• Software Ecosystems and App Stores – aspects related to software
ecosystems health, ecosystem orchestration and governance, app economy,
actors and supply network analysis, incentives and ecosystem-based
business models
• Software Business Development – aspects related to developing business
models and business modeling for software products and services,
effective business model change, and improvement, economics of software
companies, mergers and acquisitions, internationalization, outsourcing
and other strategies for realizing these business models.
• Licensing, intellectual property and patents aspects and other legal
aspects associated with software business – privacy and security is also
welcome here
• Software startups – aspects related to environment success factors for
software business and startups, entrepreneurial process in software
development, software startup processes, disruptive innovation and
adoption of startups, competence, risk management and managing startup
growth
• Engineering and Management – aspects related to software product
management, life-cycle perspective, continuous delivery, agile
development, technical debt, platform governance, digital platforms,
matchmakers, and value co-creation
• Human value, morale, ethics and believes – human-centered design,
ethical software engineering, AI ethics, transparency, etc.
• Other aspects – games and gamification, software business education,
disruptive trends in software business and the future of software business
A selection of best papers will be invited to submit extended versions
for tentative publication in a Special Section of Information and
Software Technology published by Elsevier
https://www.journals.elsevier.com/information-and-software-technology
You are very welcome to submit your papers to one of these tracks via
the EasyChair submission system :
https://easychair.org/conferences/?conf=icsob2021
Important Dates
• Abstract submissions: August 27th, 2021
• Full paper submissions: September 3rd, 2021
• Notification of acceptance: October 10th, 2021
• Camera-ready copies: October 29th, 2021
• Conference: December 2nd-3rd, 2021
A selection of best papers will be invited to submit extended versions
for tentative publication in a Special Section of Information and
Software Technology published by Elsevier
https://www.journals.elsevier.com/information-and-software-technology
You are very welcome to submit your papers to one of these tracks via
the EasyChair submission system :
https://easychair.org/conferences/?conf=icsob2021
Submission Formats
Papers should be submitted in PDF format. The results described must be
unpublished and must not be under review elsewhere. Submissions must
conform to Springer’s LNCS format and should not exceed 16 pages,
including all text, figures, references, and appendices.
Submissions not conforming to the LNCS format, exceeding 16 pages (for
full papers) or 8 pages (for short papers), or being obviously out of
the scope of the conference, will be rejected without review.
Three to five keywords characterizing the paper should be indicated at
the end of the abstract. The type of paper (technical/empirical
evaluation/experience/exploratory paper) should be indicated in the
submission. Submission is done through Easychair.
Each paper will be reviewed by at least two reviewers. Accepted papers
will be presented at ICSOB ’21 and published in the conference
proceedings, which is published in the Springer Lecture Notes in
Computer Science (LNCS).
Organizers:
Anh Nguyen-Duc, Business school University of South Eastern Norway
(Conference Chair)
XiaoFeng Wang, Free University of Bozen-Bolzano (Program Chair)
Antonio Martini, University of Oslo (Program Chair)
Viktoria Stray, University of Oslo (Proceeding Chair)
Kryzstof Wnuk, Blekinge Institute of Technology (Publicity Chair)
Sonja Hyrynsalmi, LUT University (Publicity Chair)
Dimitris Polychronopoulos, Entreprenerdy (Startup Community Chair)
Orges Cico, Norwegian University of Science and Technology (Startup
Community Chair)
Sonja Hyrynsalmi, LUT University (PhD Symposium Chair)
Salah Uddin Ahmed, University of South Eastern Norway (Local Chair)
More info: https://icsob2021.org/ and in Twitter @ICSOBconf
ICSOB 2021 Publicity Co-Chair,
Sonja Hyrynsalmi
Junior Researcher | Software engineering
LUT University, Lahti
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] CfP - EdbA 2021 - Second International Workshop on
Event Data and Behavioral Analytics
Date: Wed, 23 Jun 2021 14:51:30 +0200
From: Benoit DEPAIRE <benoit.depaire(a)uhasselt.be>
To: aisworld(a)lists.aisnet.org
[Apologies for cross-posting]
********************************************************************************
Call for Papers
EdbA 2021 - Second International Workshop on Event Data and Behavioral
Analytics
1 November 2021
Co-located with the 3rd Int. Conference on Process Mining (ICPM)
http://www.edba.science
********************************************************************************
The workshop aims to further the development of new (or the novel
application of existing) techniques, algorithms, and data structures for
recording, storing, managing, processing, analyzing, and visualizing event
data in various forms in order to gain insights into the behavior of
various kinds. The workshop welcomes different types of submissions, i.e.
original research papers, case study reports, position papers, idea papers,
challenge papers, and WiP papers on event data and behavioral analytics.
Important Dates
--------------------------
- Abstract submission deadline: August 19, 2021
- Papers submission deadline: August 26, 2021
- Notification: September 16, 2021
- Camera-ready deadline: September 30, 2021
- Workshop: November 1, 2021
Scope
--------------------------
Over the past decades, capturing, storing, and analyzing event data has
gained attention in various domains such as process mining, clickstream
analytics, IoT analytics, e-commerce, and retail analytics, online gaming
analytics, security analytics, website traffic analytics and preventive
maintenance, smart homes, and offices, just to name a few. It even resulted
in the birth of new research domains such as behavioral informatics,
behavioral analytics, and behavioral operations research. The interest in
event data lies in its analytical potential as it captures the dynamic
behavior of people, objects, and/or systems at a fine-grained level.
While each of these domains has its own applications and idiosyncrasies,
they share the common denominator of event data and the objective to
analyze behavior. Yet, these domains also differ in underlying assumptions
and techniques used. Therefore, the objective of this workshop is to
provide a forum to practitioners and researchers for studying a
quintessential, minimal notion of events as the common denominator for
records of discrete behavior in all its forms, and to study, develop and
discuss techniques and methods for behavioral analytics based on all kinds
of events.
The Event Data & Behavioral Analytics (EdbA) workshop considers as its
starting point the presence of event data being recorded at various sources
and contexts, being stored in various forms, and being considered for
analysis of the behavior of various kinds. Event data at different levels
of granularity are considered, ranging from frequent sensor-based events in
IoT settings to recordings of aggregate or long-running behavior involving
time intervals and rich information. Behavior often involves multiple
entities, objects, and actors to which events can be correlated in various
ways. In these situations, a unique explicit process notion does either not
exist, is unclear or different processes or dynamics could be recorded in
the same dataset.
The workshop aims to further the development of new (or the novel
application of existing) techniques, algorithms, and data structures for
recording, storing, managing, processing, analyzing, and visualizing event
data in various forms. The workshop welcomes two types of submissions, i.e.
original research papers as well as case study reports on event data and
behavioral analytics.
Topics of interest
--------------------------
The topics considered in the workshop consist of, but are not limited to:
- Augmentation of fine-grained event data to higher-order activities or
behavior
- Storage, integration, and querying of behavioral event data
- Representation and analysis of event data without a unique case
identifier (without case identifier or with multiple case identifiers
present)
- Monitoring and detection of complex behavior
- Diagnosis of behavior, including root-cause analysis, variance analysis,
cluster analysis and many other exploratory analysis techniques
- Visual analytics of (complex) behavior
- Behavior Pattern detection, e.g., in real-time location data or other
types of context-rich data
- Outlier Behavior Detection
- Behavior Prediction
- Prescriptive analytics which predicts behavior and prescribes which
action could steer behavior in a specific direction
Submissions
-----------------
We are interested in original research papers, case study reports, position
papers, idea papers, challenge papers, and WiP papers. Submissions must use
the Springer LNCS/LNBIP format (see the instructions [1]) and cannot exceed
12 pages (always including tables, figures, the bibliography, and
appendices). Only papers in English will be considered and must present
original research contributions not concurrently submitted elsewhere.
Papers must be submitted electronically via the EasyChair portal [2].
All accepted papers will appear in the workshop proceedings published by
Springer in the Lecture Notes in Business Information Processing (LNBIP)
series.
[1] https://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0
[2] https://easychair.org/my/conference?conf=icpm2021
Program Committee
--------------------------
- Periklis Andritsos, University of Toronto, Canada
- Gael Bernard, University of Toronto, Canada
- Ioannis Chatzigiannakis, Sapienza University of Rome, Italy
- Jochen De Weerdt, Catholic University of Leuven, Belgium
- Massimiliano de Leoni, University of Padova, Italy
- Claudio di Ciccio, Sapienza University of Rome, Italy
- Chiara Di Francescomarino, Fondazione Bruno Kessler-IRST, Italy
- Bettina Fazinga, ICAR - National Research Council, Italy
- Marwan Hassani, Eindhoven University of Technology, the Netherlands
- Gert Janssenswillen, Hasselt University, Belgium
- Xixi Lu, Utrecht University, the Netherlands
- Fabrizzio Maggi, Free University of Bozen, Italy
- Felix Mannhardt, Eindhoven University of Technology, the Netherlands
- Niels Martin, Hasselt University, Belgium
- Jan Mendling, Humboldt-Universität zu Berlin, Germany
- Marco Montali, Free University of Bozen, Italy
- Mathias Weidlich, Humboldt-Universität zu Berlin, Germany
Organizers
--------------------------
- Benoît Depaire, Hasselt University, Belgium
- Fahland, Dirk, Eindhoven University of Technology, the Netherlands
- Francesco Leotta, Sapienza University of Rome, Italy
- Senderovich, Arik, University of Toronto, Canada
Contacts
--------------------------
Web: http://www.edba.science/
Email: info(a)edba.science
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] Call for Papers: Quaternary Special Issue "Disaster
Modeling and Management"
Date: Wed, 23 Jun 2021 13:00:51 +0000
From: Mahdi Najafabadi <Mahdi.Najafabadi(a)sph.cuny.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Dear Colleagues,
We invite you to submit your Agent-Based and Artificial Intelligence
Models to the Quaternary Special Issue on the "Disaster and Emergency
Management"<https://www.mdpi.com/si/88042> (ISSN 2571-550X).
The prime goals of disaster and emergency management (DEM) are to save
lives and protect communities and their assets and the environment from
natural, technological, and human-made disasters. DEM planning and
operations at the mitigation, preparedness, response, and recovery
phases can be empowered by advances in new methodologies and
technologies. Emerging and growing agent-based modeling (ABM) and
artificial intelligence (AI) and their combinations can help
professionals, decision makers, and operators to achieve DEM goals
better, faster, and more equitably.
This issue aims to demonstrate:
1. how ABM and AI can change the way we understand, identify, model,
assess, and manage risks associated with different natural,
technological, and human-made hazards;
2. how ABM and AI can enhance individual, community, national, and
global preparedness against large hazardous events;
3. how ABM and AI can be used to assist emergency management agencies
and organizations in responding to major disaster events; and
4. how ABM and AI can support disaster relief, short-term and long-term
recovery, and reconstruction efforts.
We are looking for papers that answer one or a combination of the above
questions using agent-based modeling, artificial intelligence, or a
combination of the two.
Deadline for manuscript submissions is 31st October 2021. For more
information, please visit: https://www.mdpi.com/si/88042
Dr. Ali Asgary
Dr. Mahdi Najafabadi
Guest Editors
Mahdi M. Najafabadi
Ph.D., MPA, MBA, Software Engineering
Center for Systems and Community Design
CUNY School of Public Health
The information included in this email may be strictly confidential and
privileged or otherwise protected from disclosure. If you are not the
intended recipient, please e-mail the sender and delete this message as
well as any attachment from your system. If you are not the intended
recipient you must not copy this message and its attachments nor
disclose the contents to any other person.
[http://theunbrokenwindow.com/wp-content/uploads/2010/12/recycle.jpg]Printing
emails is usually a waste. Please do NOT print this email unless you
really need to. Lets save more trees!
-------- Forwarded Message --------
Subject: [AISWorld] New Article: Determinants of Digital Divide using
Demand-Supply Framework: Evidence from India
Date: Wed, 23 Jun 2021 08:15:03 +1000
From: Ajis Editor <ajis.eic(a)gmail.com>
To: ISHoDs <IS-hods(a)list.utas.edu.au>, ISWorld
<aisworld(a)lists.aisnet.org>, ISAus <IS-Aus(a)list.utas.edu.au>, AJIS
Editor-in-Chief <ajis.eic(a)gmail.com>
The Australasian Journal of Information Systems has just published its
latest article:
*Determinants of Digital Divide using Demand-Supply Framework: Evidence
from India*
*A. Guha, M. Mukerji*
https://doi.org/10.3127/ajis.v25i0.3029
Recently, India has seen high economic growth with an increased
availability and use of information
and communication technologies (ICTs). However, ICT penetration in India is
much less
when compared to global averages. There exists a substantive level of
inequality in ICT access and use.
Empirical studies on digital divide in India are few, especially those with
a theoretical demand-supply
framework, using consistent and reliable pan data. This paper examines the
digital divide in India
across socio-economic classes and different political-geographic regions.
The demand equations for
two ICT instruments – Internet and mobile phone - are estimated for
households aggregated at subnational level.
An econometric model identifies demand and supply side factors shaping
differential access by households.
Findings indicate the digital divide is a reflection of the existing
socio-economic divide.
On the demand side, socio-economic inequality manifests in the economic
conditions of households,
social category, occupational profile, age and education status are key
determinants of district level digital divide.
Supply side factors: availability of electricity, mobile network and extent
of urbanization also play an important role.
#DigitalDivide #KeyDeterminants #Econometrics #India #Census
--
Professor Karlheinz Kautz
Editor-in-Chief
Australasian Journal of Information Systems
http://journal.acs.org.au/index.php/ajis/index
--
The AJIS provides immediate open access to its content on the principle
that making research freely available to the public supports a greater
global exchange of knowledge. The journal has been published since 1993 and
appears in the Index of Information Systems Journals, is ranked "A" by both
the Australian Council of Professors and Heads of Information Systems and
the Australian Business Deans' Council. In addition to web distribution,
AJIS is distributed by EBSCO, it is listed in Cabell's International
Directory and is indexed by EBSCO, Elsevier, Scopus and the Directory of
Open Access Journals. Thanks for the continuing interest in our work.
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-------- Forwarded Message --------
Subject: [AISWorld] [LCN 2021][Call for Demos] 46th annual IEEE
Conference on Local Computer Networks (Demo Session)
Date: Fri, 18 Jun 2021 16:49:21 +0200
From: publicity(a)ieeelcn.org
To: aisworld(a)lists.aisnet.org
=======================================
Call for Demos
The 46th Annual IEEE Conference on Local Computer Networks (LCN 2020)
=======================================
October 4-7, 2021
http://www.ieeelcn.org
IMPORTANT: After evaluating the current COVID-19 situation, the decision has
been made to hold this year's LCN in a fully virtual conference. The
conference dates remain the same. Presentations of demos will be
organized in a way
that is convenient for the various time zones.
Consider a virtual demo as an opportunity to showcase your work in a way
that was not possible in physical meetings or would have required to
travel with a lot of gear. We will do our best to accommodate demo
author needs to present and discuss the demo virtually.
## Scope
IEEE LCN 2021 will feature a demo session with the aim of providing
demonstrations that validate important research issues and/or show
innovative
prototypes. Authors are invited to submit technical demonstrations (no
more than 3 pages) showing
innovative and original research. The authors are encouraged to
highlight the research component
of the demo and explicitly mention the novelty of the showcased technology/
solution. The proposal should include one page that describes
what conference participants will be able to see or experience during the
demonstration.
IEEE LCN is looking for demonstrations in all topics covered by the main
conference and/or the symposium held in conjunction with LCN 2021. Research
prototypes as well as commercial products are welcome.
## Demo Submission
Proposals (no more than 3 pages) must be submitted via EDAS to the LCN
Demo Track: https://edas.info/newPaper.php?c(077&track7632
Demonstrations will be selected based on their merits and expected interest
from the LCN audience. All demo proposals will be reviewed by the
members of the Demo Board via an
EDAS score sheet. The scores will be provided to the authors along with the
notification.
## Virtual Demo Presentation
Demo presentations will be organised as parallel dedicated virtual rooms
for each demo similar to a face-to-face demo session. Demo presenters
will have the opportunity to perform live demos while also answering
questions from the audience. In addition, authors of accepted demos will
also be asked to record a video to best showcase the demo which will be
available for attendees during the conference.
* A best demo award will be awarded to the demo with the most votes from
the audience.
## Important Dates
Demo Submission: Aug 16, 2021
Demo Acceptance: Sep 6, 2021
Demo Camera Ready: Sep 20, 2021
## Registration for Demos
For conference registration, a demo is not regarded as a paper, i.e.,
* demo presenters with no accepted conference or symposium papers must
select
"non-author registration" when registering for the conference
* demo presenters with accepted LCN or symposium papers incur no extra
charge
for a demo. The conference registration will cover their demo.
Please feel free to contact the demo chair if you have any questions
regarding the demo content or setup.
Demo Chair: Kanchana Thilakarathna <kanchana.thilakarathna(a)sydney.edu.au>
--
Follow LCN on Twitter at https://twitter.com/IEEELCN
Follow LCN on LinkedIn https://www.linkedin.com/company/ieee-lcn-conference/
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-------- Forwarded Message --------
Subject: [AISWorld] Special issue on Digital Business for a Sustainable
Future
Date: Fri, 18 Jun 2021 21:23:51 +1200
From: Gohar F. Khan <gohar.feroz(a)gmail.com>
To: aisworld(a)lists.aisnet.org
CC: Karim Feroz <karim.ferozkhan(a)gmail.com>
Dear colleagues,
I am co-editing a special issue titled *Digital Business for a Sustainable
Future *of the Sustainability (IF: 2.576, ISSN 2071-1050) and would like to
invite you to submit your research, if any.
More information about the special issue can be found here:
https://www.mdpi.com/journal/sustainability/special_issues/Digital_Business…
The submission *deadline is **31 October 2021*.
Cheers,
Gohar
--
Ngā mihi
Dr Gohar Khan
Associate Professor in Digital Business
School of Management and Marketing
Ph: +64 7 838 4233 |gohar.khan(a)waikato.ac.nz
https://www.waikato.ac.nz/staff-profiles/people/gkhan
<http://https//www.waikato.ac.nz/staff-profiles/people/gkhan>
Books:https://www.amazon.com/Gohar-F-Khan/e/B011EKM6CO/
[image: University of Waikato]
*The content of this email is confidential and intended for the recipient
specified in message only, unless otherwise stated.*
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-------- Forwarded Message --------
Subject: [AISWorld] [KaRS 2021] Third CfP: 3rd Knowledge-aware and
Conversational Recommender Systems Workshop 2021 @ ACM RecSys
Date: Fri, 18 Jun 2021 09:21:53 +0000
From: Vito Walter Anelli <vitowalter.anelli(a)poliba.it>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Call for Papers
Third Workshop on Knowledge-aware and Conversational Recommender Systems
(KaRS 2021)
https://kars-workshop.github.io/2021/http://sisinflab.poliba.it/kars/2021/
Sep. 27th - Oct. 1st, 2021, Amsterdam, the Netherlands
Submission deadline: July 29th, 2021, 2021 AoE
[SCOPE]
We are pleased to invite you to contribute to the Third Workshop on
Knowledge-aware and Conversational Recommender Systems held in
conjunction with the ACM International Conference on Recommender Systems
(RecSys 2021) Amsterdam, the Netherlands, from September the 27th to
October the 1st, 2021.
In the last few years, a renewed interest of the research community on
conversational recommender systems (CRSs) is emerging. This is probably
due to the great diffusion of Digital Assistants (DAs) such as Amazon
Alexa, Siri, or Google Assistant that are revolutionizing the way users
interact with machines. DAs allow users to execute a wide range of
actions through an interaction mostly based on natural language messages.
However, although DAs are able to complete tasks such as sending texts,
making phone calls, or playing songs, they are still at an early stage
on offering recommendation capabilities by using the conversational
paradigm.
In addition, we have been witnessing the advent of more and more precise
and powerful recommendation algorithms and techniques able to
effectively assess users' tastes and predict information that would
probably be of interest to them.
Most of these approaches rely on the collaborative paradigm (often
exploiting machine learning techniques) and do not take into account the
huge amount of knowledge, both structured and non-structured ones,
describing the domain of interest of the recommendation engine.
Although very effective in predicting relevant items, collaborative
approaches miss some very interesting features that go beyond the
accuracy of results and move in the direction of providing novel and
diverse results as well as generating an explanation for the recommended
items. Furthermore, this side information becomes crucial when a
conversational interaction is implemented, in particular for the
preference elicitation, explanation, and critiquing steps.
The 3rd Knowledge-aware and Conversational Recommender Systems (KaRS)
Workshop focuses on all aspects related to the exploitation of external
and explicit knowledge sources to feed and build a recommendation
engine, and on the adoption of interactions based on the conversational
paradigm. The aim is to go beyond the traditional accuracy goal and to
start a new generation of algorithms and approaches with the help of the
methodological diversity embodied in fields such as Machine Learning
(ML), Human-Computer Interaction (HCI), Information Retrieval (IR), and
Information Systems (IS). Consequently, the focus lies on works
improving the user experience and following goals such as user
engagement and satisfaction or customer value.
The aim of this third edition of KaRS is to bring together researchers
and practitioners around the topics of designing and evaluating novel
approaches for recommender systems in order to:
* share research and techniques, including new design technologies and
evaluation methodologies;
* identify next key challenges in the area;
* identify emerging topics in the field.
[TOPICS]
This workshop aims at establishing an interdisciplinary community with a
focus on the exploitation of (semi-)structured knowledge and
conversational approaches for recommender systems and promoting
collaboration opportunities between researchers and practitioners.
Topics of interests include, but are not limited to:
- Knowledge-aware Recommender Systems.
- Models and Feature Engineering:
- Knowledge-aware data models based on structured knowledge sources
(e.g., Linked Open Data, BabelNet, Wikidata, etc.)
- Semantics-aware approaches exploiting the analysis of textual sources
(e.g., Wikipedia, Social Web, etc.)
- Knowledge-aware user modeling
- Methodological aspects (evaluation protocols, metrics, and data sets)
- Logic-based modeling of a recommendation process
- Knowledge Representation and Automated Reasoning for recommendation
engines
- Deep learning methods to model semantic features
- Beyond-Accuracy Recommendation Quality:
- Using knowledge-bases and knowledge-graphs to increase recommendation
quality(e.g., in terms of novelty, diversity, serendipity, or
explainability)
- Explainable Recommender Systems
- Knowledge-aware explanations to recommendations (compliant with the
General Data Protection Regulation)
- Online Studies:
- Using knowledge sources for cross-lingual recommendations
- Applications of knowledge-aware recommenders (e.g., music or news
recommendation, off-mainstream application areas)
- User studies (e.g., on the user's perception of knowledge-based
recommendations), field studies, in-depth experimental offline evaluations
- Conversational Recommender Systems.
- Design of a Conversational Agent:
- Design and implementation methodologies
- Dialogue management (end-to-end, dialog-state-tracker models)
- UX design
- Dialog protocols design
- User Modeling and interfaces:
- Critiquing and user's feedback exploitation
- Short- and Long-term user profiling and modeling
- Preference elicitation
- Natural language-, multi modal-, and voice-based interfaces
- Next-question problem
- Methodological and Theoretical aspects:
- Evaluation and metrics
- Datasets
- Theoretical aspects of conversational recommender systems
[SUBMISSIONS]
Submissions of full research papers must be in English, in PDF format in
the CEUR-WS two-column conference format available at:
http://ceur-ws.org/Vol-XXX/CEURART.zip
or at:
https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…
if an Overleaf template is preferred.
Submission will be peer-reviewed and accepted papers will appear in the
CEUR workshop series. Papers may range from theoretical works to system
descriptions.
We particularly encourage Ph.D. students or Early-Stage Researchers to
submit their research. We also welcome contributions from the industry
and papers describing ongoing funded projects which may result useful to
the Knowledge-aware and Conversational Recommender Systems community.
The conference language is English.
We invite three kinds of submissions, which address novel issues in
Knowledge-aware and Conversational Recommender Systems:
* Long Papers should report on substantial contributions of lasting
value. The Long papers must have a length of a minimum of 6 and a
maximum of 8 pages (plus an unlimited number of pages for references).
Each accepted long paper will be included in the CEUR online Workshop
proceedings and presented in a plenary session as part of the Workshop
program.
* Short/Demo Papers typically discuss exciting new work that is not yet
mature enough for a long paper. In particular, novel but significant
proposals will be considered for acceptance to this category despite not
having gone through sufficient experimental validation or lacking a
strong theoretical foundation. Applications of recommender systems to
novel areas are especially welcome. The Short/Demo papers must have a
length of a minimum of 3 and a maximum of 5 pages (plus an unlimited
number of pages for references). Each accepted short paper will be
included in the CEUR online Workshop proceedings
* Position/Discussion Papers describe novel and innovative ideas.
Position papers may also comprise an analysis of currently unsolved
problems, or review these problems from a new perspective, in order to
contribute to a better understanding of these problems in the research
community. We expect that such papers will guide future research by
highlighting critical assumptions, motivating the difficulty of a
certain problem, or explaining why current techniques are not
sufficient, possibly corroborated by quantitative and qualitative
arguments. The Position/Discussion papers must have a length of a
minimum of 2 and a maximum of 3 pages (plus an unlimited number of pages
for references). Original Position/Discussion accepted papers will be
included in the CEUR online Workshop proceedings. Selected
Position/Discussion papers will be invited as oral presentations.
The review process is single-blind. Submitted papers will be evaluated
according to their originality, technical content, style, clarity, and
relevance to the workshop.
Moreover, following the RecSys 2021 guidelines, reviewers will be asked
to comment on whether the length is appropriate for the contribution.
Shorter papers should generally report on advances that can be
described, set into context, and evaluated concisely. Longer papers
should reflect substantial contributions of lasting value.
Short and long paper submissions must be original work and may not be
under submission to another venue at the time of review.
Accepted papers will appear in the workshop proceedings.
Submission will be through Easychair at:
https://easychair.org/conferences/?conf=kars2021
[IMPORTANT DATES]
* Paper submissions due: July 29th, 2021
* Paper acceptance notification: August 21st, 2021
* Camera-ready deadline: August 28th, 2021
* Workshop day: Sep 27th - Oct 1st, 2021
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.
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advise the sender immediately by reply e-mail and delete this message.
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-------- Forwarded Message --------
Subject: [AISWorld] SA4PM'21: 2nd International Workshop on Streaming
Analytics for Process Mining @ ICPM'21
Date: Fri, 18 Jun 2021 10:48:33 +0000
From: Hassani, Marwan <M.Hassani(a)tue.nl>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
[cid:image002.png@01D76440.438B5BD0]
SA4PM'21 Call for Papers
----------------------------------------------------------------------------------------------------------------
2nd International Workshop on Streaming Analytics for Process Mining
(SA4PM'21)
in conjunction with ICPM 2021, November 1st, 2021, Eindhoven, The
Netherlands
https://sa4pm.win.tue.nl/2021/
-----------------------------------------------------------------------------------------------------------------
Streaming Process Mining is an emerging area in process mining that
spans data mining (e.g. stream data mining; mining time series; evolving
graph mining), process mining (e.g. process discovery; conformance
checking; predictive analytics; efficient mining of big log data; online
feature selection; online outlier detection; concept drift detection;
online recommender systems for processes), scalable big data solutions
for process mining and the general scope of online event mining. In
addition to many other techniques that are all gaining interest and
importance in industry and academia.
The SA4PM workshop aims at promoting the use and the development of new
techniques to support the analysis of streaming-based processes. We aim
at bringing together practitioners and researchers from different
communities, e.g. Process Mining, Stream Data Mining, Case Management,
Business Process Management, Database Systems and Information Systems
who share an interest in online analysis and optimization of business
processes and process-aware information systems with time, storage or
complexity restrictions. Additionally, SA4PM aims at attracting research
results on scalable algorithmic process mining solutions in general
given that the work addresses how would such efficient solution function
under streaming settings. The workshop aims at discussing the current
state of ongoing research and sharing practical experiences, exchanging
ideas and setting up future research directions.
The list of topics that are relevant to the SA4PM workshop includes, but
is not limited to:
* Novel Algorithms for Stream-Based Process Discovery
* Novel Algorithms for Stream-Based Conformance Checking
* Novel Algorithms for Stream-Based Compliance Checking
* Online Predictive Analytics
* Online Recommender Systems
* Online Case-Adaptation Techniques
* Online Decision Mining
* Online Recommender Systems for Processes
* Real-Time Process Mining
* Online Concept Drift Detection
* Online Outlier Detection
* Algorithmic Solutions for Process Mining & Big Data
* Streaming Feature Selection Methods for High-Dimensional Log Files
* Streaming Trace Clustering Methods
* Architectures for Distributed Process Mining (from algorithmic
perspective)
* Architectures for Distributed Storage of Event Data
* Adoption of Process Mining in Scalable Big Data/Streaming Solution
(e.g. Apache Hadoop/Spark)
* Leveraging Scalable Process Mining Solutions to Online Settings
* Evaluation Methods of Streaming Process Mining Algorithms
* Visualization Methods for Streaming Process Mining Results
* Applications/Case-Studies of the Application of Online Process Mining
* Process Monitoring
* Online Event Mining
* Graph Evolution Mining Methods for Process Mining
* Time Series Mining Methods for Process Mining
* Methodological Aspects of Online Process Mining
* Fundamental Aspects of Online Process Mining.
Submitted papers will be evaluated on the basis of significance,
originality and technical quality. Authors are requested to prepare
submissions according to the LNBIP proceedings. The page limit is set to
12 pages. Papers should clearly establish the research contribution and
the relation to previous research. The submission should clearly
emphasize the discussion aspects relevant to the workshop. Members of an
international and solid program committee will review all submissions.
Submitters are required to indicate if their data and software is
publically available and if so, where and if not, why. Sharing both data
and software is important for the development of the research area as a
whole. We expect this low-impact demand will increase the visibility of
our work and the availability of data and software to other researchers.
Important Dates
* Workshop paper abstract submission deadline: August 19, 2021
* Workshop paper submission deadline: August 26, 2021
* Paper notification: September 16, 2021
* Camera ready: September 30, 2021
* Workshop day: November 1, 2021
Organizers
* Marwan Hassani, Technische Universiteit Eindhoven
* Andrea Burattin, Technical University of Denmark
* Thomas Seidl, Ludwig-Maximilians-Universität München
* Sebastiaan van Zelst, Fraunhofer Institute for Applied Information
Technology
Program Committee
* Agnes Koschmider, Kiel University, Germany
* Ahmed Awad, University of Tartu, Estonia
* Eric Verbeek, Eindhoven University of Technology, The Netherlands
* Felix Mannhardt, Eindhoven University of Technology, The Netherlands
* Florian Richter, Ludwig-Maximilians-Universität München, Germany
* Francesco Folino, ICAR -CNR, Italy
* Frederic Stahl, German Research Center for Artificial Intelligence
(DFKI), Germany
* Jochen De Weerdt, KU Leuven, Belgium
* Matthias Weidlich, Humboldt-Universität zu Berlin, Germany
* Marco Comuzzi, UNIST, Korea
* Mohamed Medhat Gaber, Bermingham City University, UK
* Stefanie Rinderle-Ma, University of Vienna, Austria
-------- Forwarded Message --------
Subject: [AISWorld] IEEE WETICE 2021 - CfP - Second Round
Date: Thu, 17 Jun 2021 15:37:01 +0200
From: Stefano Forti <stefano.forti(a)di.unipi.it>
CC: Stefano Forti <stefano.forti(a)di.unipi.it>
=======================================================================================
IEEE WETICE 2021
The 30th IEEE International Conference on Enabling Technologies:
Infrastructure for Collaborative Enterprises
Website: http://wetice.org <http://wetice.org/>
=======================================================================================
Important Dates (Second Round)
Submission deadline: July 18, 2021
Notification to authors: August 17, 2021
Camera-ready deadline: September 10, 2021
Conference (online): 27-29 October 2021
Context and Scope
The International Conference on Enabling Technologies: Infrastructure
for Collaborative Enterprises WETICE is a forum on the state-of-the-art
research in enabling technologies for collaboration, consisting of
several conference tracks.
The 30th WETICE edition will be held on June 23-25, 2021 in Bayonne
(French Basque country), France.
WETICE topics of interest include but are not limited to:
* Cloud-Based Collaborative Technologies in IoT
* Adaptive and Reconfigurable Systems and Architectures
* Complex Networks Monitoring, Security and Fraud Detection for Enterprises
* Convergence of Distributed Clouds, Grids and their Management
* Data Exploration in the Web 3.0 Age
* Collaborative Software Processes
* Formal Verification of Service Based Systems
* Future Internet Services and Applications
* Semantic Technologies in Smart Information Sharing and Web Collaboration
* Security, Safety and Trust Management
List of Tracks
· Adaptive Computing (and Agents) for Enhanced Collaboration
· Adaptive and Reconfigurable Service-oriented and component-based
Applications and Architectures
· Convergence of Distributed Clouds, Grids and their Management
· Collaborative Modeling and Simulation
· Complex Networks Monitoring and Security and Fraud Detection for
Enterprises
· Future Internet Services and Applications
· Security, Safety and Trust Management
· Validating Software for Critical Systems
<http://www.cs.unict.it/~fornaia/vsc/2019/>
· Semantic Technologies for Smart Information Sharing and Web Collaboration
· Gerontechnology
· Advances in Blockchain Technologies and Applications
Keynote Speakers
· Luigi Atzori, University og Cagliari, Italy
· Sabri Skhiri, Eura Nova, Belgium
· Barbara Pernici, Politecnoco di Milano, Italy
Manuscript Guidelines and Submission
Papers up to six (6) pages (including figures, tables and references)
should contain original contributions not published or submitted
elsewhere and are to be formatted according to the IEEE template.
Accepted papers will be included in the proceedings published by the
IEEE Computer Society Press and will be archived in the IEEE digital
library.
The page limit for Full papers is 6 pages. No extra pages are allowed.
The page limit for Short papers is 4 pages. No extra pages are allowed.
At least one author for each accepted paper should register and attend
WETICE 2020 to have the paper published in the proceedings.
Papers should be submitted through the EasyChair platform through the
following submission link:
https://easychair.org/conferences/?conf=wetice2021
<https://easychair.org/conferences/?conf=wetice2021>
General Chairs
Ernesto Exposito, Université de Pau et des Pays de l’Adour, France
Khalil Drira, LAAS-CNRS, France
Program Chairs
Stefania Monica, Università degli Studi di Modena e Reggio Emilia, Italy
Sami Yangui, LAAS-CNRS, France
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-------- Forwarded Message --------
Subject: [AISWorld] Abstract Submission - ISR Special Issue on Disaster
Management
Date: Wed, 16 Jun 2021 19:39:21 +0000
From: Chen, Rui [ISBA] <ruichen(a)iastate.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
Dear Colleagues,
This is a friendly reminder of the upcoming deadlines of the Special
Issue “Unleashing the Power of Information Technology for Strategic
Management of Disasters” of Information Systems Research.
The two-page abstract is due by June 30. Although optional, authors are
strongly encouraged to submit an abstract by June 30, so that the guest
editors can evaluate fit with the special issue. Please email them to:
isr.si.disastermgmt(a)gmail.com<mailto:isr.si.disastermgmt@gmail.com>
Editors will offer feedback on abstracts by July 30, encouraging authors
of promising abstracts to submit a five pager for a workshop at UT-San
Antonio tentatively scheduled for October 9-10, 2021. These five-page
extended abstracts will not be formally reviewed prior to the workshop –
they are meant to facilitate a constructive discussion at the event.
Upcoming deadlines:
Two-page Abstract: June 30, 2021
Feedback on Abstracts: July 30, 2021
Five-page Extended Abstract: September 15, 2021
UT San Antonio Workshop: October 9-10, 2021
Full Paper Submission: January 15, 2022
Best,
Rui Chen (AE)
on behalf of the Special Issue Editors
----------------------------------------------------------------------------------------
Rui (Ray) Chen, PhD
Dean's Fellow in Management Information Systems
Director of Graduate Education in Information Systems
MBA Core Faculty
Information Assurance Graduate Faculty
Associate Professor of Information Systems
Department of Information Systems and Business Analytics
Debby and Jerry Ivy College of Business
Iowa State University
3256 Gerdin Business Building, Ames, IA 50010
Phone: (515) 294-6309 Email: ruichen(a)iastate.edu
Https://scholar.google.com/citations?user=uPimnRwAAAAJ
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