-------- Forwarded Message --------
Subject: [AISWorld] CFP: The 2nd Int. Conference on Deep Learning, Big
Data and Blockchain
Date: Wed, 19 Feb 2020 08:39:52 +0000
From: Deep-BDB <deepml.info(a)gmail.com>
To: aisworld(a)lists.aisnet.org
------------------------ Call for Papers -----------------------------
The 2nd International Conference on Deep Learning, Big Data and Blockchain
(DEEP-BDB 2020)
(Springer Series)
24-26 August 2020, Rome, Italy
http://www.ficloud.org/deep-bdb/
-----------------------------------------------------------------------
Deep and machine learning are the state-of-the-art at providing models,
methods, tools and techniques for developing autonomous and intelligent
systems which can revolutionize industrial and commercial applications in
various fields such as online commerce, intelligent transportation,
healthcare and medicine, security, manufacturing, education, games, and
various other industrial applications. All such fields produce and consume
massive amount of big data, which include, for example, online commerce
data (marketing data, customer reviews, customer relationship),
transportation data (road sensors, cameras, GPS), and data about
healthcare, social media, and various other applications. Deep learning
techniques and big data techniques yield useful outputs in predicting,
discovering and acquiring insights and deeper knowledge about events for
better and efficient decision making. The groundbreaking technology of
blockchain technology also enable decentralization, immutability, and
transparency of data and applications. It has been exploited in modern
research and industrial domains in order to achieve high level of trust,
security and reliable execution of applications and data which are shared
across a network of computers.
The International Conference on Deep Learning, Big Data and Blockcain
(DEEP-BDB) aims to enable synergy between these areas and to provide a
leading forum for researchers, developers, practitioners, and professional
from public sectors and industries in order to meet and share latest
solutions and ideas in solving cutting edge problems in modern information
society and economy. The conference focuses on specific challenges in deep
(and machine) learning, big data and blockchain. Topics of interest include
(but not limited to):
- Deep/Machine learning based models
- Statistical models and learning
- Data analysis, insights and hidden pattern
- Data analysis and decision making
- Data wrangling, munching and cleaning
- Data integration and fusion
- Data visualization
- Data and information quality
- Security threat detection
- Visualizing security threats
- Enhancing privacy and trust
- Data mining; Information extraction;
- Sentiment analysis
- Data classification and clustering
- Knowledge acquisition and learning
- Clustering, classification and regression
- Supervised and unsupervised learning
- Blockain security and trust
- Blockchain data management
- Data & application reliability
- Blockchain and data distribution
- Blockain and finacial transactions
- Blockchain and Bitcoin applications
- Blockain and NoSQL databases
- Protocols for blockchain
- Cryptography, Cryptocurrency
- Fraud detection and prevention
- Blockchain and Internet of Things
- Scalability of blockchains
Application areas:
- Finance, business and retail
- Intelligent transportation
- Healthcare and clinical decision support
- Bioinformatics and biomedical informatics
- Computer vision
- Human activity recognition
- Cybersecurity
- Natural language processing
- Recommender systems
- Social media and networks
Important Dates:
Submission Deadline: 12 March 2020
Authors Notification: 20 May 2020
Final Manuscript Due: 15 June 2020
Paper Submission:
Papers must be written in English. Full papers should be limited to 12
pages. Short papers should be limited to 8 pages. Papers must be formatted
in Springer's format. See Information for Authors of Springer Proceedings (
https://www.springer.com/us/authors-editors/conference-proceedings/conferen…
).
All papers accepted for this conference are peer-reviewed and are to be
published by Springer in the Advances in Intelligent Systems and Computing
series.
Submitted research papers may not overlap with papers that have already
been published or that are simultaneously submitted to a journal or a
conference with proceeding
Submition of papers are done through the EasyChair submission system. See
conference website for further details.
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] CFP - Special Issue on Digital Health - Internet
Research
Date: Wed, 19 Feb 2020 10:10:10 +0000
From: Roberta Bernardi <roberta.bernardi(a)gmail.com>
To: aisworld(a)lists.aisnet.org
Please consider submitting to the Special Issue on "The Bright Side and the
Dark Side of Digital Health" for Internet Research. This special issue aims
to serve as a forum in which healthcare, computer science, management and
social science scholars can come together to discuss new emerging issues
related to the bright side and the dark side of digital health. It invites
submissions from a variety of methodological, theoretical, and
multidisciplinary perspectives. Theoretical work that engages critically
with the debate about the bright and dark sides of digital health is also
welcome. In bringing technical, behavioral, clinical, and managerial
perspectives together, this special issue hopes to generate new insights
into the design, adoption, utilization, and management of digital health as
well as an understanding of its risks and adverse consequences for
individuals, organizations, and societies.
*Submission deadline: 01 September 2020.*
*Special Issue Call for Papers from Internet Research *
*Guest Editors*
Zhijun Yan - School of Management and Economics, Beijing Institute of
Technology, China
Roberta Bernardi - School of Economics, Finance and Management, University
of Bristol, UK
Nina (Ni) Huang - W.P. Carey School of Business, Arizona State University,
US
Younghoon Chang - School of Management and Economics, Beijing Institute of
Technology, China
*Overview of Special Issue*
Digital technology has been transforming how individuals, organizations,
and societies use information to improve their decision making on their
daily lives and daily operations. In recent years, the healthcare industry
has also actively engaged in the adoption of digital technology and enabled
the formation of digital health. The digital health covers lots of advanced
technologies, such as mobile health (mHealth), health information
technology (HIT), wearable devices, telehealth and telemedicine, health
data analytics and personalized medicine (Lupton 2018). These technologies
offer new exciting opportunities to improve medical outcomes, enhance
efficiency and balance health resources.
In particular, digital health can better collect, process and analyze
health-related information, and provide decision support for patients,
doctors, healthcare organizations, public health management and medical
research (Guha and Kumar 2018). There are many positive and negative issues
associated with the use of digital health by these stakeholders. On the one
hand, digital health can empower patients to make better decisions about
their own health and provide new options for facilitating prevention, early
diagnosis, surveillance, management and prediction of chronic conditions
outside traditional healthcare settings (Lin et al. 2017). Doctors can also
get a more holistic view of patient health through access to data and
improve quality of care (Lin et al. 2019). Pharmaceutical companies and
digital health companies can also benefit from patient-generated knowledge
for the advancement of medical research (Kallinikos and Tempini 2014) and
the design of personalized healthcare interventions (Bernardi 2019). On the
other hand, the integration of digital technology in the healthcare
industry presents risks such as the spread of misinformation (e.g. anti-vax
communities, Doty 2015), the disclosure of patients' privacy that could be
used by health insurance companies to make discriminatory pricing (McFall
and Moor 2018), increased doctors' technical anxiety and slow acceptance of
digital health innovation (Bernardi and Exworthy 2019), and health
inequalities due to the digital exclusion of patients (Latulippe et al.
2017; Halford and Savage 2010).
The healthcare industry is one of the largest and also one of the most
important industries for citizens’ wellbeing. Addressing the complexities
of today’s various negative and positive healthcare issues requires more
than one perspective and needs more interdisciplinary collaboration and
research. The rapid development of advanced technologies and methodologies
such as social media, Internet of things (IoT) data analytics, machine
learning, artificial intelligence (AI) brings lots of opportunities to
handle the complicated problems in the healthcare industry. It makes it
possible to improve people’s health conditions smartly and comfortably.
However, the adoption of digital technology in health care usually lags
behind other industries, as some major technological and managerial
obstacles still remain (Bunduchi et al. 2015). Obstacles include the lack
of health data integration, data overload issues, data privacy and
security, and limited or inefficient data visualization (Agarwal et al.
2010). At the same time, academics need to address the issues related to
the dark side and potential risks of digital health. This special issue
aims to serve as a forum in which healthcare, computer science, management
and social science scholars can come together to discuss new emerging
issues related to the bright side and the dark side of digital health. It
invites submissions from a variety of methodological, theoretical, and
multidisciplinary perspectives. Theoretical work that engages critically
with the debate about the bright and dark sides of digital health is also
welcome. In bringing technical, behavioral, clinical, and managerial
perspectives together, this special issue hopes to generate new insights
into the design, adoption, utilization, and management of digital health as
well as an understanding of its risks and adverse consequences for
individuals, organizations, and societies.
*Topics of interest include, but are not limited to:*
• Participating behavior of digital health
• Knowledge sharing and knowledge seeking of online health communities
• Knowledge discovery and decision support based on online health
communities and clinical decision making systems
• Social and economic return of digital health
• Data privacy, trust and security in digital health
• Fake information and information fraud in online health communities
• Online-offline data integration and analytics
• Organizational, operational, clinical and financial implications of
digital health
• Health, social and economic impact of digital health
• Big data analytics and artificial intelligence application
• Theories, models and classification frameworks that shed light on the
bright side and dark side of digital health
• Methods for studying the bright side and dark side of digital health and
its impact on individuals, communities (societies) and organizations
• Understanding how individuals, communities and organizations can
minimize, prevent or respond to the dark side of digital health
• Understanding what motivates individuals, communities and organizations
to deliberately engage in digital health
• Examining the dark side (outcomes, behaviors and practices) that
accidently or unintentionally emerge in digital health
• The ethics of the dark sides of digital health (especially with recent AI
developments and uses in digital health)
• Region, sector and industry-focused studies on the bright side and dark
side of digital health
• Economic impact of digital health on the healthcare industry
*Important dates*
• Submission due: 2020, September 1
• 1st round review decision: 2020, November 30
• Revised submission due: 2020, December 31
• 2nd round final review decision 2021, January 31
• Publication: 2021
Click here <http://here>to view the call and submission details.
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] SIGDITE PDW Call for Paper
Date: Wed, 19 Feb 2020 10:50:03 +0000
From: Tumbas , Sanja <STumbas(a)iese.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
CC: julian.lehmann <julian.lehmann(a)wiso.uni-koeln.de>
Dear AIS community,
We are delighted to announce the first AIS SIG DITE (Digital Innovation,
Transformation, and Entrepreneurship) paper development workshop at the
University of Cologne on August 27-28, 2020.
The workshop aims to propel research on the various ways in which
digital technology impacts innovation, transformation and
entrepreneurship. To do so, the workshop brings together leading faculty
from the areas of digital innovation, digital transformation, and
digital entrepreneurship. The workshop is intended primarily as a venue
for early career researchers (late-stage PhD students, Post Docs, new
faculty) to develop their ongoing work in a friendly and collegial
environment but it also welcomes established and senior scholars working
on the topic.
Confirmed faculty include Margunn Aanestad (University of Agder);
Philipp Hukal (Copenhagen Business School); Marleen Huysman (Vrije
Universiteit Amsterdam); Magnus Mähring (Stockholm School of Economics);
Jan Recker (University of Cologne); Sanja Tumbas (IESE Business School,
Univerisity of Navarra).
The workshop will be free of charge with lunches and workshop dinner
included. Participants will need to cover their accommodation and travel
expenses. Selection of papers will be based on an extended abstract of
up to 3000 words. The deadline for submission of extended abstracts is
May 6 2020. Full papers for accepted abstracts will be required by
August 1 2020.
The workshop neither requires copyright transfer nor publishes
proceedings (meaning, manuscripts prepared for conferences such as ICIS
can be submitted to the workshop for further development). Questions and
submissions should be sent to
sigditepdw(a)gmail.com<mailto:sigditepdw@gmail.com>.
More details can be found here:
https://www.is4.uni-koeln.de/de/news/news-detail/paper-development-workshop…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.is4.u…>
All the best,
Julian Lehmann
Julian Lehmann
Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economics and Social Sciences | University of Cologne
ciis.uni-koeln.de<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fciis.uni-k…>
|
is4.uni-koeln.de<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fis4.uni-ko…>
Pohligstr. 1, 50969 Cologne, Germany
Phone: +49 221 470 5321 | Email:
julian.lehmann(a)wiso.uni-koeln.de<mailto:julian.lehmann@wiso.uni-koeln.de>
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] IEEE/ACM/ASA DSAA 2020 - CFP (due May 24)
Date: Mon, 17 Feb 2020 22:04:54 -0600
From: Carson Leung (IEEE ICDM 2020) <icdm(a)cs.umanitoba.ca>
To: aisworld(a)lists.aisnet.org
======================================================================
IEEE/ACM/ASA DSAA'2020
CALL FOR PAPERS IN RESEARCH & APPLICATION TRACKS
06-09 Oct. 2020
Sydney, Australia
http://dsaa2020.dsaa.co
======================================================================
Important Dates
----------------------------------------------------------------------------
* Paper (Research & Application tracks) Submission Deadline: 24 May 2020
* Paper (Research & Application tracks) Notification: 26 Jul. 2020
* Paper (Research & Application tracks) Camera Ready Due: 9 Aug. 2020
Highlights of DSAA'2020
----------------------------------------------------------------------------
* Strong Research and Applications tracks with reproducible and open
results.
* Student Poster and Industry Poster sessions with lightning results
highlighting student’s research advances and industry’s best practices.
* One-day Industry Day with Data Science School for business.
* Special sessions on the foundations and emerging areas for data science.
* Special panel on the trends and controversies of data science and
analytics.
* A strong interdisciplinary research program spanning the areas of
data science, including statistics, machine learning, computing, and
analytics.
* Strong cross-domain interactions among researchers and industry and
government policy-makers and practitioners.
* Industry and research exhibits.
* Technically sponsored and supported by IEEE CIS, ACM SIGKDD and ASA,
proceedings by IEEE Xplore and EI indexed.
About DSAA'2020
----------------------------------------------------------------------------
The 7th IEEE/ACM/ASA International Conference on Data Science and
Advanced Analytics (DSAA) features its strong interdisciplinary
synergy between statistics (via ASA), computing and
information/intelligence sciences (IEEE and ACM), and cross-domain
interactions between academia and business for data science and
analytics. DSAA sets up a high standard for its organizing committee,
keynote speeches, submissions to main conference and special sessions,
and a competitive rate for paper acceptance. DSAA has been widely
recognized as a dedicated flagship in data science and analytics such
as by the Google Metrics and China Computer Foundation as an
influential event in the area.
The 7th IEEE International Conference on Data Science and Advanced
Analytics (DSAA’2020) will provide a premier forum that brings
together researchers, industry and government practitioners, as well
as developers and users in statistics, computing science, and
intelligence science for the exchange of the latest theoretical
developments in Data Science and Analytics and the best practice for a
wide range of applications. The conference invites submission of
papers describing innovative research on all aspects of data science
and advanced analytics as well as application-oriented papers that
make significant, original, and reproducible contributions to
improving the practice of data science and analytics in real-world
scenarios.
DSAA’2020 is a dual-track conference consisting of a Research Track
and an Research Track. DSAA’2020 will also feature a peer-reviewed
Student Poster session and an Industry Poster session, whose purpose
is to showcase recent and early-stage research developments on topics
that are of interest to students and industry/government practitioners
in data science and analytics.
Research Track
-----------------------------------------------------------------------------
The Research Track solicits the latest, original and significant
contributions related to foundations and theoretical developments of
Data Science and Advanced Analytics with reproducible results
available through a public git repository. Topics of interest include
but are not limited to:
* Data science foundations and theories
* Mathematics and statistics for data science and analytics
* Understanding data characteristics and complexities
* Data quality and misinformation
* Models, algorithms, and methods
* Optimization, inference, and regularization
* Infrastructures, and systems
* Evaluation, explanation, visualization, and presentation
* Survey and review
Application Track
-----------------------------------------------------------------------------
The Application track solicits original, impactful and actionable
application results of Data Science and Advanced Analytics across
various disciplines and domains, including business, government,
healthcare and medical science, physical sciences, and social
sciences. Submissions address a real problem on real-life data that
is reproducible ideally through a public git repository, providing
inspiring results to policy-makers, end-users or practitioners or
highlighting new practical challenges for researchers. Topics of
interest include but are not limited to:
* Domain-driven data science and analytics practice
* Real-world applications and case studies
* Operationalizable infrastructures, platforms and tools
* Deployment, management and decision-making
* System and software demonstrations
* Social and economic impact modeling
* Ethics, social issues, privacy, trust, and bias
* Reflections and lessons for better practice
DSAA Awards and Travel Grants
-----------------------------------------------------------------------------
DSAA features its Best Research Paper award and Best Application Paper
award (with honorarium USD$500 each), Next-generation Data Scientist
award (honorarium USD1,000), and IEEE CIS and DSAA travel awards.
Paper Formatting, Length, Double-blind Reviewing, and Reproducible
-----------------------------------------------------------------------------
The paper length allowed for the papers in the Research and Application
tracks is a maximum of ten (10) pages, whereas the paper length allowed for
the Student Poster and Industry Poster papers is a maximum of two (2)
pages.
The format for both types of papers is the standard 2-column
U.S. letter style IEEE Conference template. See the IEEE Proceedings
Author Guidelines:
https://protect-au.mimecast.com/s/sgu9C0YKgRs4WZRqHD4E0O?domain=ieee.org
for further information and instructions.
All submissions will be blind reviewed by the Program Committee on the
basis of technical quality, relevance to the conference’s topics of
interest, originality, significance, and clarity. Author names and
affiliations must not appear in the submissions, and bibliographic
references must be adjusted to preserve author anonymity. Submissions
failing to comply with paper formatting and authors anonymity will be
rejected without reviews.
Because of the double-blind review process, non-anonymous papers that
have been issued as technical reports or similar cannot be considered
for DSAA’2020. An exception to this rule applies to arXiv papers that
were published in arXiv at least a month prior to DSAA’2020 submission
deadline. Authors can submit these arXiv papers to DSAA provided that
the submitted paper’s title and abstract are different from the one
appearing in arXiv. Papers that appear in arXiv from the DSAA’2020
submission deadline until the review process has ended, are not
allowed.
Authors are also encouraged to support their papers by providing
through a git-type public repository the code and data to support the
reproducibility of their results.
Proceedings, Indexing and Special Issues
-----------------------------------------------------------------------------
All accepted full-length papers will be published by IEEE and will be
submitted for inclusion in the IEEE Xplore Digital Library. The
conference proceedings will be submitted for EI indexing through
INSPEC by IEEE. Top-quality papers accepted and presented at the
conference will be selected for extension and invited to the special
issues of the International Journal of Data Science and Analytics
(JDSA, Springer) and some other journals we are working on.
Submission
-----------------------------------------------------------------------------
Submissions to the main conference including Research Track &
Applications Track are available from Easy Chair
(https://easychair.org/conferences/?conf=dsaa2020).
Important Policies
-----------------------------------------------------------------------------
Reproducibility & supplementary: The advancement of data science
depends heavily on reproducibility. We strongly recommend that the
authors release their code and data to the public. Authors can provide
an optional two (2) page supplement at the end of their submitted
paper (it needs to be in the same PDF file and start on page 11). This
supplement can only be used to include (i) information necessary for
reproducing the experimental results reported in the paper (e.g.,
various algorithmic and model parameters and configurations,
hyper-parameter search spaces, details related to dataset filtering
and train/test splits, software versions, detailed hardware
configuration, etc.), and (ii) any data, pseudo-code and proofs that
due to space limitations, could not be included in the main
manuscript. Papers entering into the Best Research Paper and Best
Application Paper awards must show solid evidence for reproducibility.
Authorship: The list of authors at the time of submission is final and
cannot be changed.
Dual submissions: DSAA is an archival publication venue as such
submissions that have been previously published, accepted, or are
currently under-review at peer-review publication venues (i.e.,
journals, conferences, workshops with published proceedings, etc.) are
not permitted. DSAA has a strict no dual submission policy.
Conflicts of interest (COI): COIs must be declared at the time of
submission. COIs include employment at the same institution at the
time of submission or in the past three years, collaborations during
the past three years, advisor/advisee relationships, plus family and
close friends. Program chairs, poster chairs, special session chairs
and tutorial chairs are not allowed to submit proposals to their
managed tracks and sessions.
Attendance: At least one author of each accepted paper must register
in full and attend the conference to present the paper. No-show papers
will be removed from the IEEE Xplore proceedings.
Enquiries
-----------------------------------------------------------------------------
General enquiries about paper submissions should be submitted to
pc_dsaa20(a)dsaa.co
_______________________________________________
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-------- Forwarded Message --------
Subject: [AISWorld] AMCIS 2020 CFP Human-Robot Interactions in
Information Systems Mini-track
Date: Tue, 18 Feb 2020 09:32:31 +0100
From: Sangseok You <sangyou(a)umich.edu>
To: This is the AISWorld List Server <aisworld(a)lists.aisnet.org>
CFP Mini-Track: Human-Robot Interactions (HRI) in Information Systems (IS)
AMCIS 2020
Salt Lake City, Utah, August 12-16 2020
amcis2020.aisconferences.org
We kindly invite you to submit your manuscripts to the AMCIS 2020
Mini-track, Human-Robot Interactions in Information Systems. The track
is under the Cognitive Research in IS.
Mini-track Description:
This mini-track aims to enhance our understanding of human robot
interactions an emerging area in Information Systems. This mini-track
seeks to solicit submissions from a range of topics pertaining to the
cognitive and behavioral aspects of interactions with robots and
artificial intelligence (AI) and their corresponding outcomes. This
includes empirical studies and conceptual frameworks which seek to
theoretically advance our knowledge of the topic.
Topics of interest include, but are not limited to, the following:
• Promoting the performance of individuals, teams, and organizations
working with robots
• Adoption and appropriation of robots
• Empirical studies examining cognitive, psychological, emotional, and
social aspects of human-robot collaboration
• Theoretical frameworks for human-robot interaction
• Case studies of human-robot interaction
• Design implications for robots in the workplace and home
• Work practices which focused on human-robot collaboration
• New methodological approaches to studying human-robot interactions
Important Dates:
• January 6, 2020: Manuscript submissions for AMCIS 2020 (Now Open) -
PCS Submission Site HERE(new.precisionconference.com/user/login?society=ais)
• February 28, 2020: AMCIS manuscript submissions (completed research
and Emergent Research Forum (ERF)) closes for authors at 5:00pm MST
• April 22, 2020: Camera-ready papers are due at 5:00pm MST
We look forward to receiving your best works for the mini-track. Feel
free to contact us in case of any question.
Mini-track Chairs:
Sangseok You, HEC Paris, you(a)hec.fr
Lionel Robert, University of Michigan, lprobert(a)umich.edu
Best,
Sangseok
_______________________________________________
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-------- Forwarded Message --------
Subject: [WI] ACM RecSys 2020 Call for Reproducibility Papers
Date: Tue, 18 Feb 2020 14:10:23 +0000
From: flaviovdf(a)dcc.ufmg.br
Reply-To: flaviovdf(a)dcc.ufmg.br
To: wi(a)aifb.uni-karlsruhe.de
Call for Reproducibility Papers
RecSys strongly encourages the submission of algorithmic papers that
repeat and analyze prior work. We distinguish between:
* replicability papers, which repeat prior experiments using the
original source code and datasets to show how, why, and when the methods
work (or not); and
* reproducibility papers, which repeat prior experiments using the
original source code in new contexts (e.g., different application
domains and datasets, different evaluation methodologies and metrics) to
further generalize and validate (or not) previous work.
Submissions regarding replicability or reproducibility papers are
welcome in all areas related to recommender systems (see the main track
Call for Papers for a list of topics).
In both replicability and reproducibility papers, we expect authors to
provide all materials required for repeating the tests performed,
including code, data, and clear instructions on how to run the
experiments. Submissions from the same authors of the reproduced
experiments will not be accepted.
Each accepted paper will be included in the conference proceedings and
presented in a plenary session as part of the main conference program.
Each accepted paper will also be allocated a presentation slot in a
poster session to encourage discussion and follow-up between authors and
attendees.
REVIEW CRITERIA
Both replicability and reproducibility papers will be evaluated along
the following criteria:
* Novelty
* What is new about the reproduced experiments?
* Was the original work not supported from the theoretical point of view?
* Were the original experiments not clear about important points or
lacking confirmation for some of the original claims?
* (Reproducibility papers only): Do the reproduced experiments bring
more solid conclusions, with new datasets and metrics, with unbiased
evaluation setups?
* (Reproducibility papers only): Are there new experiments that allow
for a better understanding of the impact of previous results?
* Impact
* How important is the reproduction of the experiments to the community?
* How obvious are the conclusions achieved?
* Do the reproduced prior works, if validated, advance a central topic
to recommender systems (a topic with a broad applicability or focused on
a hot research area)?
* Reliability
* Is the evaluation methodology in line with the research challenges
addressed by the reproduced experiment?
* Are the selected baselines representative of the several algorithm
types and techniques available?
* Is the hyperparameter tuning strategy properly described?
* Are algorithms and baselines properly tuned?
* Availability
* Are the code and datasets used to reproduce the experiments available
to the reviewers at the time of review?
* Is the shared material released in a permanent repository for easy
access by researchers?
* Are the reproduced experiments well documented, with all the details
required for other researchers to reproduce the experiments, as well?
* Are there discrepancies between what is described in the paper and
what is available in the shared material?
* Is the shared material complete with everything you need to exactly
replicate the experiments?
SUBMISSION GUIDELINES
All submissions and reviews will be handled electronically. Papers must
be submitted to PCS by 23:59, AoE (Anywhere on Earth) on May 4th, 2020.
There will be no extensions to the submission deadline.
Formatting. ACM is changing the archive format of its publications to
separate content from presentation in the new Digital Library, enhance
accessibility, and improve the flexibility and resiliency of our
publications. Following the new ACM publication workflow, all authors
should submit manuscripts for review in a single-column format. Paper
length is expected to range between 7 pages (for reproductions of a
single algorithm) to 14 pages (for reproductions of multiple
algorithms). In any case, the maximum length is 14 pages (excluding
references) in the new single-column format. Instructions for Word and
LaTeX authors are given below:
* Microsoft Word: Write your paper using the Submission Template (Review
Submission Format). Follow the embedded instructions to apply the
paragraph styles to your various text elements. The text is in
single-column format at this stage and no additional formatting is
required at this point.
* LaTeX: Please use the latest version of the Master Article Template -
LaTeX to create your submission. You must use the "manuscript" option
with the \documentclass[manuscript]{acmart} command to generate the
output in a single-column format which is required for review. Please
see the LaTeX documentation and ACM's LaTeX best practices guide for
further instructions. To ensure 100% compatibility with The ACM
Publishing System (TAPS), please restrict the use of packages to the
whitelist of approved LaTeX packages.
Authors are strongly encouraged to provide "alt text" (alternative text)
for floats (images, tables, etc.) in their content so that readers with
disabilities can be given descriptive information for these floats that
are important to the work. The descriptive text will be displayed in
place of a float if the float cannot be loaded. This benefits the author
as well as it broadens the reader base for the author's work. Moreover,
the alt text provides in-depth float descriptions to search engine
crawlers, which helps to properly index these floats.
Should you have any questions or issues going through the instructions
above, please contact support at acmtexsupport(a)aptaracorp.com for both
LaTeX and Microsoft Word inquiries.
Accepted papers will be later submitted to ACM's new production platform
where authors will be able to review PDF and HTML output formats before
publication.
Anonymity. Papers in the reproducibility track will undergo single-blind
review. It is expected that at the time of submission, code and datasets
used to reproduce the experiments will be available under reasonably
liberal terms and sufficiently well-documented such that reviewers may
consult that documentation as they conduct their reviews.
Originality. Each paper should not be previously published or accepted
to any peer-reviewed journal or conference/workshop, nor currently under
review elsewhere (including as another paper submission for RecSys
2020). We do not prevent authors from submitting the same paper to
institutional or other preprint repositories such as arXiv.org before
the reviewing process is complete, because it will place anonymity at
risk. Please refer to the ACM Publishing License Agreement and
Authorship Policy for further details.
Plagiarism. Plagiarized papers will not be accepted for RecSys 2020. Our
committees will be checking the plagiarism level of all submitted papers
to ensure content originality using an automated tool. Hence, authors
are advised in their own interest to use a similar tool (e.g.,
iThenticate, Turnitin, Viper, PlagScan, etc.) to check the plagiarism
level of their manuscripts before submission. The originality report
generated by the tool may also be submitted at the time of paper submission.
Papers violating any of the above guidelines are subject to rejection
without review.
SIGCHI SUBMITTER AGREEMENT
RecSys 2020 is a SIGCHI conference and making a submission to a SIGCHI
conference is a serious matter. Submissions require time and effort by
SIGCHI volunteers to organize and manage the reviewing process, and, if
the submission is accepted, the publication and presentation process.
Thus, anyone who submits to RecSys 2020 implicitly confirms the
following statements:
1. I confirm that this submission is the work of myself and my co-authors.
2. I confirm that I or my co-authors hold copyright to the content, and
have obtained appropriate permissions for any portions of the content
that are copyrighted by others.
3. I confirm that any research reported in this submission involving
human subjects has gone through the appropriate approval process at my
institution.
4. I confirm that if this paper is accepted, I or one of my co-authors
will attend the conference. Papers that are not presented at the
conference by an author may be removed from the proceedings at the
discretion of the program chairs.
IMPORTANT DATES
* Abstract submission deadline: April 27th, 2020
* Paper submission deadline: May 4th, 2020
* Author notification: July 6th, 2020
* Camera-ready version deadline: July 27th, 2020
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.
REPRODUCIBILITY CHAIRS
* Paolo Cremonesi, Politecnico di Milano, Italy
* Alan Said, University of Gothenburg, Sweden
--
Mailing-Liste: wi(a)lists.kit.edu
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Konfiguration: https://www.lists.kit.edu/wws/info/wi
-------- Forwarded Message --------
Subject: [computational.science] Advanced Transport Tools and Methods
at ICCSA 2020 (Scopus and ISI index) - 3rd call
Date: Tue, 18 Feb 2020 10:03:01 +0100
From: Massimiliano Petri via computational.science
<computational.science(a)lists.iccsa.org>
Reply-To: Massimiliano Petri <m.petri(a)ing.unipi.it>
To: computational.science(a)lists.iccsa.org
Dear Colleague,
This is an invitation to submit a contribution for the:
Advanced Transport Tools and Methods (A2TM 2020)
Workshop of the 20th International Conference on Computational Science
and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on
July 1 - 4, 2020 in Cagliari, Italy.
TOPICS
======
The aim of A2TM workshop is to bring together scientists working on
mobility.
Topics of interest include (but are not limited to): Smart Urban
Mobility, New ITS, Big Data in Transport, Innovation in Freight
Transport and Logistic, Connected/Autonomous Vehicles, Innovation for
Sustainable Mobility, Innovaton in Transport Modeling and Analysis
IMPORTANT DATES
================
March 15, 2020: Deadline for abstract and paper submission to the A2TM
Workshop.
April 15, 2020: Notification of Acceptance.
May 8, 2020: Early-bird Registration ends.
May 8, 2020: Submission deadline for the final version of the Proceeding
Papers.
July 1-4, 2020: ICCSA 2020 Conference.
PROCEEDINGS
============
The proceedings of the A2TM 2020 Workshop will appear in the
Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The
paper must be camera-ready, between 10 and 16 pages long and formatted
according to the LNCS rules
SUBMISSION DETAILS
==================
All accepted papers will be included in the Springer Lecture Notes in
Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs
) series and indexed by Scopus, EI Engineering Index, Thomson Reuters
Conference Proceedings Citation Index (included in ISI Web of Science),
and several other indexing services. The papers will contain linked
references, XML versions and citable DOI numbers. Submitted papers will
be subject to stringent peer review by at least three experts and
carefully evaluated based on originality, significance, technical
soundness, and clarity of exposition.
The authors can submit abstracts and papers to your session accessing
the electronic submission site: http://ess.iccsa.org/ You can find the
instructions to prepare and submit papers on the web site:
http://www.iccsa.org/instructions-for-authors
If you are not registered, you must to register before the submission.
From the personal page the author is able to submit first an abstract
(phase 1), then a full paper (phase 2), selecting the session from the
list of sessions in the submission forms.
The author will be able to update the paper until the submission deadline.
ORGANIZERS
===========
* Massimiliano Petri (m.petri(a)ing.unipi.it)
* Antonio Pratelli (a.pratelli(a)ing.unipi.it)
Dep. of Industrial and Civil Engineering (University of Pisa), Italy.
If you have some doubts or problems, do not hesitate to contact organizers.
Best regards,
Massimiliano Petri
Antonio Pratelli
(A2TM 2020 organizers)
----------------------------------------------------
Eng.Massimiliano Petri
-------- Forwarded Message --------
Subject: Reply “uninterested” if we disturb you
Date: Tue, 18 Feb 2020 11:19:14 +0000
From: CSAE 2020 <Yang(a)mr.csaeconf.org>
To: gustaf.neumann(a)wu.ac.at
CALL FOR PAPERS
The 4th International Conference on Computer Science and Application
Engineering (CSAE 2020)
October 20-22, 2020, Sanya, Hainan Province, China
http://www.csaeconf.org/
<http://email.mr.csaeconf.org/c/eJxVjT0PgjAUAH8NHZv3Kv0aOoDCpJOa6GTKo4BGi8ES…>
* Main conference paper submission: February 20, 2020
------------------------------------------------------------------------
The 4th International Conference on Computer Science and Application
Engineering (CSAE 2020) will be held during October 20 to 22, 2020 in
Sanya, China. It aims to bring together researchers, practitioners, and
policy makers to discuss issues related to computer science and
application engineering.
~ Conference Outcomes:
* Proceedings in ACM International Conference Proceedings Series.
~ Important dates:
Main conference paper submission: February 20, 2020
Acceptance/Rejection notification: March 20, 2020
Camera ready papers: April 1, 2020
Author registration: April 1, 2020
~ Submissions: * Full Research Papers
~ The scope:
The scope of the CSAE 2020 is focused on issues related to computer
science. Topics of interest considered to be within the scope of the
conference include but are not limited to:
* AI
* Algorithm and Data Structure
* Big Data
* Bioinformatics
* Business Information Systems
* Cloud Computing
* Communication Networks
* Computational Intelligence and Complexity
* Computational Science and Engineering
* Computational Statistics
* Control
* Database Management and Information Retrieval
* Electronics
* Game Theory
* Geographical Information Systems
* Human–Computer Interaction
* Image Processing
* Information Systems and Applications
* Intelligent Transportation System
* Machine Translation
* Mechanical Engineering
* Neuroscience
* Performance Management
* Production Engineering
* Programming
* Robotics
* Security and Cryptology
* Signals
* Software Engineering
* Statistical Theory and Methods
* Theoretical Computer Science
* Theoretical, Mathematical and Computational Physics
* VR
~ Further details:
http://www.csaeconf.org/
<http://email.mr.csaeconf.org/c/eJxVjT0PgjAUAH8NHZv3Kv0aOoDCpJOa6GTKo4BGi8ES…>
With regards,
Jenny Zhan
info(a)csaeconf.org <mailto:info@csaeconf.org>
Click here
<http://email.mr.csaeconf.org/c/eJwVjrluhDAUAL8GSus9gw0UFLBAtTkU9oAKGbDX7IJB…>
to unsubscribe from future mailings.
-------- Forwarded Message --------
Subject: [AISWorld] CFP - AI and Semantic Technologies for Intelligent
Information Systems Mini-track
Date: Mon, 17 Feb 2020 16:59:02 -0500
From: Vijayan Sugumaran <sugumara(a)oakland.edu>
To: aisworld(a)lists.aisnet.org
CALL FOR PAPERS AMCIS 2020
Salt Lake City, 12-16 Aug, 2020
Paper submission deadline: February 28, 2020
Submission System Link: <https://new.precisionconference.com/ais>
https://new.precisionconference.com/ais
Mini-Track Title: Artificial Intelligence and Intelligent Systems
Track: AI and Semantic Technologies for Intelligent Information Systems
Sponsoring SIG: SIGODIS
Mini-Track Description:
Artificial Intelligence and Intelligent Systems are experiencing a
resurgence. Significant progress has been made over the last few years in
the development of machine learning, and computational intelligence
techniques such as bio/nature-inspired computing, deep learning, and
cognitive computing. Similarly, there is an upsurge in the application of AI
technologies and multi-agent systems in a variety of fields such as
electronic commerce, internet of things, computer vision, natural language
processing, speech and voice recognition, and healthcare. While research on
various aspects of artificial intelligence is progressing at a very fast
pace, this is only the beginning. There are still a number of issues that
have to be explored in terms of the design, implementation and deployment of
AI applications and multi-agent systems. This mini-track provides a forum
for sharing cutting edge research in AI applications and their implications
on organizations.
Best papers from this mini-track will be fast tracked for publication in a
special issue of International Journal of Intelligent Information
Technologies (http://www.idea-group.com/IJIIT).
Potential topics include but are not limited to:
• Artificial Intelligence and big data analytics
• Deep Learning and Machine Learning algorithms and implementations
• Internet of Things and AI applications
• AI and Cloud Computing
• Computer Vision and Image Processing
• AI and Deep Learning applications in Healthcare
• Text Analytics and Natural Language Processing
• Cognitive IoT autonomous vehicles
• Neural Networks, Fuzzy Logic and Machine Learning Applications
• Bio and Nature Inspired Computing
• Evolutionary Computation
• Hybrid Learning, and Deep Learning applications
• Computational intelligence systems in healthcare, energy management, smart
grids, mobile networks, internet of things, sensor networks, cloud
computing, transportation systems, etc.
• Computational intelligence, analytical modeling, and simulation for big
data analytics
• Computational Methods in Context Aware Web Systems
• Computational intelligence applications for Business Intelligence and
decision making
• Application of intelligent agent and multi-agent systems in different
domains
• Distributed Intelligent Systems
• Agents and web data mining
• Multi-agent technology and grid computing
• Architectures, environments and languages for e-commerce agents
• Automated shopping and trading agents
• Agent-based auction, negotiation and decision making
• Agent driven interoperability and distributed decision support
• Software agents and knowledge management
• Agent-based Business Analytics
• Business Intelligence and multi-agent systems
Submission Information:
URL for submission: <https://new.precisionconference.com/ais>
https://new.precisionconference.com/ais
URL for Info on types of submission:
<https://amcis2020.aisconferences.org/submissions/types-of-submissions/>
https://amcis2020.aisconferences.org/submissions/types-of-submissions/
Important dates:
February 28, 2020: Manuscript submission deadline (5:00pm MST)
April 15, 2020: Author notification
April 22, 2020 Camera-ready papers are due (5:00pm MST)
Minitrack Co-Chairs:
Prof. Vijayan Sugumaran
Chair, Decision and Information Sciences Department
School of Business Administration
Oakland University
Rochester, MI 48009, USA
Email: <mailto:sugumara@oakland.edu> sugumara(a)oakland.edu
Prof. Dr. Stefan Kirn
Universität Hohenheim
Information Systems 2 (530 D)
Schwerzstrasse 35
D-70599 Stuttgart
Germany
Email: <mailto:stefan.kirn@uni-hohenheim.de> stefan.kirn(a)uni-hohenheim.de
================================================
Vijayan Sugumaran, Ph.D.
Distinguished Professor, Management Information Systems
Chair, Department of Decision and Information Sciences
Co-Director, Center for Data Science and Big Data Analytics
School of Business Administration
275 Varner Drive, Room 442
Oakland University
Rochester, MI 48309
Phone: 248-370-4649
Fax: 248-370-4275
Email: sugumara(a)oakland.edu <mailto:sugumara@oakland.edu>
================================================
_______________________________________________
AISWorld mailing list
AISWorld(a)lists.aisnet.org
-------- Forwarded Message --------
Subject: [AISWorld] AMCIS 2020 CFPs: Business Simulations in Higher
Education minitrack
Date: Mon, 17 Feb 2020 21:43:48 +0000
From: Anabela Mesquita <abmesquita(a)gmail.com>
To: aisworld(a)lists.aisnet.org
Greetings Colleagues,
Please consider submitting a manuscript to the Business Simulations in
Higher Education minitrack ( # 3 under IS in Education, Curriculum,
Education, and Teaching Cases (SIGED)).
More and more, the world of work is demanding soft skills as a requisite
to enter the job market. As a consequence, HEI are introducing changes
in the pedagogical approaches and teaching methods in order to meet
these needs and expectations. One solution includes the incorporation of
Business Simulation methodologies in the most diverse courses, at all
educational levels. These types of solutions enable students to develop
important skills, together with practical knowledge. This mini-track
provides an opportunity for educators, researchers, students and
practitioners to exchange ideas, techniques, and experiences concerning
the use of these techniques as a way to acquire practical knowledge and
develop soft skills. Different submission topics and formats are
welcome, ranging from papers describing games and simulations, to papers
presenting technological solutions and even the description of the use
of such a solution in higher education.
Nowadays, the development of soft skills is considered as important as
the more technical and theoretical knowledge in order to become
employable and competitive. Employers are looking for professionals that
possess practical knowledge and understand clearly the business where
they are entering in. One possible solution to help students to develop
those capabilities is by the use of business simulations as these
simulate the real situation, where the student potentially might enroll,
helping key actors to feel and learn as if they were in the world of
work. This mini-track is an opportunity for educators, researchers,
students, and practitioners to share and exchange ideas, techniques, and
experiences regarding business simulation, its development, application
and pedagogical approaches.
Suggested topics related to Business Simulation:
Games and business simulation in education
Virtual learning environments
Available solutions and technologies for business simulation
Pedagogical and methodological issues in the use of business simulations
Assessment of the learning outcomes in the use of Business Simulations
Case Studies in the Effectiveness of Business Simulations in IS Education
Theories behind the development and use of Business Simulations
Ethical issues concerning the use of business simulations
Challenges faced by educators and students
Mobile business simulation
Integration of students in the job market
Papers must be submitted through the conference website. For more
information about the process, please visit:
https://amcis2020.aisconferences.org/submissions/call-for-papers/
<https://amcis2020.aisconferences.org/submissions/call-for-papers/>
* February 28, 2020: manuscript submission deadline for authors at
5:00pm MST.
If you have any questions, please feel free to contact us.
Mini track chairs:
Paulino Silva - paulino(a)iscap.ipp.pt <mailto:paulino@iscap.ipp.pt>
and Anabela Mesquita - sarmento(a)iscap.ipp.pt <mailto:sarmento@iscap.ipp.pt>
Thank you for your consideration. We look forward to seeing you at AMCIS
2020.
Paulino Silva
Anabela Mesquita
_______________________________________________
AISWorld mailing list
AISWorld(a)lists.aisnet.org