* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://recsys.acm.org/recsys23/challenge/ *
The RecSys 2023 Challenge will be organized by Rahul Agarwal and Sarang Brahme (ShareChat), Abhishek Srivastava (IIM Visakhapatnam, India), Liu Yong (Huawei, Singapore) and Athirai Irissappane (Amazon, USA) based on the data provided by ShareChat.
This year’s challenge will focus on online advertising, improving deep funnel optimization, and user privacy. Online advertising has been a multi-billion-dollar industry since the early 2000 and has played a significant role in the growth of the internet. The key advantage of online advertising over conventional mass advertising is its inherent ability to personalize to users, democratizing advertising and enabling businesses of all sizes to participate, and providing the measurable impact of money spent to the advertisers. Over the past two decades, the nature of online advertising has also evolved tremendously from pure banner-based advertising, where advertisers were charged based on the number of ad impressions, to deep funnel optimizations, where advertisers can optimize for eventual sales.
The efficacy of deep funnel optimization required extensive personalization and opened up rich problems in real-time auction design, large-scale machine learning, modeling delayed feedback, and behavioral understanding. As these systems matured, we also started developing a rich understanding of the need to preserve user privacy, ensure AI fairness, and prevent adversarial exploitation of the platform. In this challenge, we aim to provide a real-world ad dataset from the Sharechat and Moj apps to act as a benchmark for research into deep funnel optimization with a focus on user privacy. As part of the challenge, ShareChat will be releasing an anonymized dataset corresponds to roughly 10M random users who visited the ShareChat + Moj app over three months.
A detailed description of the challenge is available on the website of the RecSys Challenge 2023 (http://www.recsyschallenge.com/2023/). Accepted contributions will be presented at the RecSys Challenge Workshop during the 17th ACM Recommender Systems Conference in September 2023 at Singapore.
CHALLENGE ORGANIZERS
* Rahul Agarwal, ShareChat,
* Sarang Brahme, ShareChat,
* Abhishek Srivastava, IIM Visakhapatnam
* Liu Yong, Huawei, Singapore
* Athirai Irissappane, Amazon, USA
ADVISOR
* Saikishore Kalloori, ETH Zürich
** We apologize if you receive multiple copies of this CfP **
** For the online version of this Call, visit: https://recsys.acm.org/recsys23/call/reproducibility **
The reproducibility of empirical results is a cornerstone of scientific research and a prerequisite to ensure continuous progress in our field. ACM RecSys ‘23 therefore strongly encourages submissions which repeat or analyze prior works in similar or alternative settings or which contribute to an increased level of reproducibility in the future.
Types of papers
We encourage the submission of different types of papers, including:
* Reproducibility papers,which analyze prior works in different contexts, e.g., in different domains, with different datasets, compared to different baselines.
* Resource papers that provide the foundation for future reproducibility, e.g., in terms of new datasets or open-source software frameworks for the evaluation of recommender systems.
* Methodology papers, which for example propose novel offline evaluation protocols or provide validated measurement scales for user-centric evaluations of recommendations.
* Reflective works, such as guidelines for reproducibility, surveys of reproducibility levels, or theoretical reflections on our research methodology.
Other types of submissions related to the wider topic of reproducibility in recommender systems are welcome as well. Please reach out to the track chairs at reproducibility2023(a)recsys.acm.org in advance in case you are not sure if your work could be a match for the reproducibility track.
Submission and reviewing
Similar to the main track of ACM RecSys ‘23 the review process is double-blind. Submissions therefore must not include the author names and affiliations, and the code/data repositories should be set up to maintain anonymity as well.
We expect authors to provide all relevant materials that are needed to fully assess the validity of the submission. In case of reproducibility studies involving computational experiments, this would for example include all code, data, and installation instructions that are needed to re-execute the experiments that are reported in the paper.
Each paper will be reviewed by members of the programme committee of the track. The review criteria, among others, will include the following specific aspects:
* Novelty: What is new about the reported findings or insights?
* Impact: What is the expected impact of the reported findings or insights?
* Reliability: Is the work technically sound?
* Availability: Is the submitted work well documented and repeatable?
Each accepted paper will be included in the conference proceedings, and a selected number of papers will be presented in a plenary session as part of the main conference program. We encourage authors to create a companion website that hosts all relevant material.
Submission Guidelines
We accept long papers of up to 14 pages (excluding references) and short papers of up to 7 pages (excluding references) in ACM’s new single-column format, corresponding to the categories of the call for papers for the main track. The length of a submission should be commensurate with its contribution.
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.
SUBMISSION SYSTEM
Papers must be submitted via EasyChair at https://easychair.org/my/conference?conf=acmrecsys2023reprodu. Note that papers intended for the main track of ACM RecSys 2023 should be submitted to a different EasyChair installation.
IMPORTANT DATES
* Abstract submission deadline: April 14th, 2023
* Paper submission deadline: April 21st, 2023
* Author notification: June 28th, 2023
* Camera-ready version deadline: July 26th, 2023
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.
PAPER FORMATTING
ACM’s archival publication format separates content from presentation in the Digital Library to enhance accessibility and improve the flexibility and resiliency of our publications. Following the ACM publication workflow, all authors should submit manuscripts for review in a 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 Primary Article Template – LaTeX to create your submission. You must use the “manuscript” option with the \documentclass[manuscript, anonymous]{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. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures.
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
The peer review process is mutually anonymous (double-blind). This means that all submissions must not include information identifying the authors or their organization. Specifically, do not include the authors’ names and affiliations, refer to your previous work in the third person (e.g., “Zhang and Di Noia (2023) recommended that RecSys submissions be anonymized by referring to the authors’ prior work in the third person.”), and avoid providing any other information that would allow reviewers to identify the authors, such as acknowledgments of individuals and funding sources. However, it is acceptable to explicitly refer in the paper to the companies or organizations that provided datasets, hosted experiments or deployed solutions if there is no implication that the authors are currently affiliated with the mentioned organization. Reviewers are instructed not to search for tech reports, pre-prints, and other information about your research. Your responsibility is focused on making sure that the paper submission itself does not reveal your identity as author.
ETHICAL REVIEW FOR HUMAN-SUBJECTS RESEARCH
ACM RecSys expects all authors to comply with ethical and regulatory guidelines associated with human subjects research, including research involving human participants and research using personally identifiable data. Papers reporting on such human subjects research must include a statement identifying any regulatory review the research is subject to (and identifying the form of approval provided), or explaining the lack of required review. Reviewers will be asked to consider whether the research was conducted in compliance with applicable ethical and regulatory guidelines.
We encourage authors to consider further ethical implications and broader impacts of their work, and to discuss these in an appropriate section of their papers; “A Guide to Writing the NeurIPS Impact Statement” provides non-binding guidance on some of the kinds of things authors may wish to consider.
ORIGINALITY
Each paper should not be previously published or accepted to any peer-reviewed journal or conference, nor currently under review elsewhere (including as another paper submission for RecSys 2023). Papers published in workshop proceedings may only be submitted if the RecSys submission includes at least 30% new content; such papers must also reference the original workshop paper on the submission form (but not in the anonymized paper).
PLAGIARISM
Plagiarized papers will not be accepted for RecSys 2023. Our committees will be checking the plagiarism level of all submitted papers to ensure content originality using an automated tool.
If you reuse non-novel text from a prior publication (e.g., the description of an algorithm or dataset), please be sure to cite the prior publication as the source of that text. If you have questions about reuse of text or simultaneous submission, please contact the program chairs at least one week prior to the submission deadline. Please refer to the ACM Publishing License Agreement and Authorship Policy for further details.
Papers violating any of the above guidelines are subject to rejection without review and cases may be referred to the ACM Publications Ethics and Plagiarism committee for further action where warranted.
PATENTING
Please take note that the official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
SIGCHI Submitter Agreement
RecSys 2023 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 2023 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 present the paper at the conference, either in person or through a conference-designated remote presentation option. Papers that are not presented at the conference by an author may be removed from the proceedings at the discretion of the program chairs.
Reproducibility Chairs
* Hui Fang, Shanghai University of Finance and Economics, China
* Dietmar Jannach, University of Klagenfurt, Austria
* Magdalini Eirinaki, San Jose State University, USA
Email: reproducibility2023(a)recsys.acm.org
** We apologize if you receive multiple copies of this CfP **
** For the online version of this Call, visit: https://recsys.acm.org/recsys23/call/papers **
We are pleased to invite you to contribute to the 17th ACM Conference on Recommender Systems (RecSys 2023), the premier venue for research on the foundations and applications of recommendation technologies. The upcoming RecSys conference will be held on September 18–22, 2023 in Singapore, with an inclusive format that accommodates remote attendance. Each accepted paper is expected to be presented in person. The conference will continue RecSys’ tradition of connecting researchers, practitioners, and students to exchange ideas, frame problems, and share solutions across a range of specialties concerned with recommendation. All accepted papers will be published by ACM.
We invite submissions of original research on all aspects of recommender systems, including contributions to: algorithms ranging from collaborative filtering to knowledge-based reasoning or deep learning; design ranging from studies of human preferences and decision-making to novel interaction design; systems including practical issues of scale and deployment; applications that bring forward the lessons of innovative applications across various domains from e-commerce to education to social connections; scientific inquiry on fundamental dynamics and impact of recommender systems. We welcome new research on recommendation technologies coming from diverse communities ranging from psychology to mathematics. In particular, we care as much about the human and economic impact of these systems as we care about their underlying algorithms. We encourage research papers coming from industry that focus on open challenges in their specific environment.
Topics of interest for RecSys 2023 include but are not limited to (alphabetically ordered):
* Algorithm scalability, performance, and implementations
* Bias, fairness, bubbles, and ethics of recommender systems
* Case studies of real-world implementations
* Conversational and natural language recommender systems
* Cross-domain recommendation
* Data characteristics and processing challenges underlying recommender systems
* Economic models and consequences of recommender systems
* Interfaces for recommender systems
* Multi-stakeholder recommendations
* New aspects of recommender systems evaluation
* Novel approaches to recommendation, including voice, VR/AR, etc.
* Preference elicitation
* Privacy and security
* Socially- and context-aware recommender systems
* Systems challenges such as scalability, data quality, and performance
* User studies of recommendation applications
Papers on demonstration for RecSys should be submitted to the demo track, while papers on new resources for RecSys should be submitted to the reproducibility track. They would be desk-rejected in the main track.
We also point authors to the industry track for discussion of field experiences, deployments, user studies (etc.) that do not follow the framework of regular papers, or align with the reviewing guidelines below. A separate track is also provided for late-breaking results papers; this track is intended for short presentations of preliminary work, mainly focused on fostering discussions with other members of the RecSys community.
Reviewing Process
Reviewers will evaluate papers based on their significance, originality, rigor, and contribution to the field. In view of the RecSys conference goal of advancing the field, reviewers will also be asked to consider the replicability of the reported research. Replicability will be assessed in the context of the work itself — we recognize that a set of customer interviews (for example) may not be shareable, but the interview scripts can be provided along with other resources such as response coding protocols. Papers that are out of scope, incomplete, or lack sufficient evidence to support the basic claims, may be rejected without full review.
Submission Guidelines
LONG PAPERS should report on substantial contributions of lasting value. The maximum length is 16 pages including appendices (plus up to 2 pages of references). Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program.
SHORT 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 strong theoretical foundation. Applications of recommender systems to novel areas are especially welcome. The maximum length is 8 pages including appendices (plus up to 2 pages references). Each accepted short paper will be included in the conference proceedings and presented either as an oral presentation or at the poster session. Note that rejected long paper submissions will not be considered as short papers.
All submissions and reviews will be handled electronically. Papers must be submitted to easychair.
EVALUATION AND REPRODUCIBILITY
We always encourage authors to present reproducible scientific results and we strongly believe this is an attitude we should foster in our RecSys community. To promote a fair evaluation of new algorithms and approaches with state-of-the-art baselines and allow other researchers to reproduce the results presented in RecSys papers, we suggest the authors refer to one of the frameworks listed in https://github.com/ACMRecSys/recsys-evaluation-frameworks. As for the datasets to use in experimental evaluations, authors may refer to the repositories available at https://github.com/ACMRecSys/recsys-datasets.
Sharing of datasets and code is encouraged, and authors presenting work that was tested on proprietary data may wish to include a secondary analysis on a public or shareable data set. We also strongly recommend the authors, unless there are restrictions, to make their code available on a public repository. The same holds for non-public datasets used for experimental evaluations. To keep the anonymity of their submission, the authors may refer to https://anonymous.4open.science/.
FORMATTING
ACM’s archival publication format separates content from presentation in the Digital Library to enhance accessibility and improve the flexibility and resiliency of our publications. Following the ACM publication workflow, all authors should submit manuscripts for review in a 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.
* LaTeX: Please use the latest version of the Primary Article Template – LaTeX to create your submission. You must use the “manuscript” option with the \documentclass[manuscript,anonymous]{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.
A document with some frequently asked questions can be found here.
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 the 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. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures.
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 production platform where authors will be able to review PDF and HTML output formats before publication.
ANONYMITY
The peer review process is mutually anonymous (double-blind). This means that all submissions must not include information identifying the authors or their organization. Specifically, do not include the authors’ names and affiliations, refer to your previous work in the third person (e.g., “Di Noia and Zhang (2023) recommended that RecSys submissions be anonymized by referring to the authors’ prior work in the third person.”), and avoid providing any other information that would allow reviewers to identify the authors, such as acknowledgments of individuals and funding sources. However, it is acceptable to explicitly refer in the paper to the companies or organizations that provided datasets, hosted experiments or deployed solutions if there is no implication that the authors are currently affiliated with the mentioned organization. Reviewers will be instructed not to search for tech reports, pre-prints, and other information about your research. Your responsibility is focused on making sure that the paper submission itself does not reveal your identity as an author.
ETHICAL REVIEW FOR HUMAN-SUBJECTS RESEARCH
ACM RecSys expects all authors to comply with ethical and regulatory guidelines associated with human subjects research, including research involving human participants and research using personally identifiable data. Papers reporting on such human subjects research must include a statement identifying any regulatory review the research is subject to (and identifying the form of approval provided), or explaining the lack of required review. Reviewers will be asked to consider whether the research was conducted in compliance with applicable ethical and regulatory guidelines.
We encourage authors to consider further ethical implications and broader impacts of their work, and to discuss these in an appropriate section of their papers; “A Guide to Writing the NeurIPS Impact Statement” provides non-binding guidance on some of the kinds of things authors may wish to consider.
ORIGINALITY
Each paper should not be previously published or accepted to any peer-reviewed journal or conference, nor currently under review elsewhere (including as another paper submission for RecSys 2023). Papers published in workshop proceedings may only be submitted if the RecSys submission includes at least 30% substantially new approaches and results; such papers must also reference the original workshop paper in the submission form (but not in the anonymized paper).
Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their own text (e.g., automate grammar checks, word autocorrect, and other editing work), but text “produced entirely” by AI is not allowed. For RecSys 2023, we adhere to the principles and guidelines stated in the LLM policy @ ICML 2023.
PLAGIARISM
Plagiarized papers will not be accepted for RecSys 2023. Our committees will be checking the plagiarism level of all submitted papers to ensure content originality using an automated tool.
If you reuse non-novel text from a prior publication (e.g., the description of an algorithm or dataset), please make sure to cite the prior publication as the source of that text. If you have questions about reuse of text or simultaneous submission, please contact the program chairs at least one week prior to the submission deadline. Please refer to the ACM Publishing License Agreement and Authorship Policy for further details.
Papers violating any of the above guidelines are subject to rejection without review and cases may be referred to the ACM Publications Ethics and Plagiarism committee for further action where warranted.
PATENTING
Please take note that the official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
SIGCHI Submitter Agreement
RecSys 2023 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 2023 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 present the paper at the conference, either in person or through a conference-designated remote presentation option. 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
* [LONG] Abstract submission deadline: April 14th, 2023
* [LONG] Paper submission deadline: April 21st, 2023
* [SHORT] Abstract submission deadline: May 2nd, 2023
* [SHORT] Paper submission deadline: May 9th, 2023
* Author notification [LONG and SHORT]: June 28th, 2023
* Camera-ready version deadline: July 26th, 2023
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.
Program Chairs
* Tommaso Di Noia, Polytechnic University of Bari (POLIBA), Bari, Italy
* Min Zhang, Tsinghua University (THU), Beijing, China
* E-mail: program2023(a)recsys.acm.org
(Apologies for the multiple postings. Appreciate it if you could distribute this CFP in your network)
========================================
CFP Special Issue
* Digital Twin for Future Networks and Emerging IoT Applications (DT4IoT)*
Future Generation Computer Systems - Elsevier Journal (IF 7.307, Cite Score 18.7)
https://www.sciencedirect.com/journal/future-generation-computer-systems/ab…
Deadline for paper submission: 26 June 2023
======================================== Guest Editors
* Akram Hakiri, University of Carthage, Tunisia. [ mailto:akram.hakiri@issatm.rnu.tn | akram.hakiri(a)issatm.rnu.tn ]
* Sadok Ben Yahia, Technology University of Tallinn, Estonia. [ mailto:sadok.ben@taltech.ee | sadok.ben(a)taltech.ee ]
* Aniruddha S Gokhale, Vanderbilt University, USA. [ mailto:a.gokhale@vanderbilt.edu | a.gokhale(a)vanderbilt.edu ]
* Nedra Mellouli, university of Paris8, France. [ mailto:n.mellouli@iut.univ-paris8.fr | n.mellouli(a)iut.univ-paris8.fr ]
Motivation and Scope
The forthcoming 5G networks are expected to bring instantaneous connectivity to billions of IoT devices that enable the digital transformation of industry 4.0 for companies, customers, and investors. It is expected that 85 percent of IoT platforms will contain some form of digital twinning by 2030, driving market growth projections from $3.1 billion today to a $48.2 billion increase in the next few years. Digital twins, which are virtual representations of real-world physical entities, have received significant interest from both the research and industrial communities.
The concept is used nowadays in various domains such as manufacturing, healthcare, smart cities, smart agriculture, telecommunication, and utilities to deliver the automation, performance, and cognitive insight required by many industries. Typically, virtual twin systems are generated and then synchronized using data flows in both directions between the real-world physical components and their virtual replica counterparts. Furthermore, a digital twin can enable continuous prototyping and testing on-demand, without interruption, assuring and self-optimizing the forthcoming 5G network and beyond. It creates virtual replicas of IoT devices in various application scenarios and maintains a device twin for every connected device.
The main goal of this Special Issue is to address the challenges of developing digital twins in future networks and present advanced and innovative tools, techniques, and algorithms for emerging IoT applications and services. Contributions addressing both theoretical and practical applications.
Topics of interest include, but are not limited to:
DT for Future Networks
* DT Architecture, Protocols, Open Interfaces, and Standard for Emerging Networks
* Emerging Cloud, Edge, Fog, and Embedded ML for Digital Twin
* DT for Software-Defined Vehicular Networks
* Middleware Technologies for Network Digital Twins
* Cloud-hosted Digital Twin frameworks for IoT systems
*
Federated learning, TinyML, and Edge AI for Real-Time Control in DTs
* Intelligent Edge, Fog and Cognitive aspects of DTs beyond 5G
* 5G-Powered Digital Twin for Cellular and Mobile Network Infrastructure Monitoring
* Digital Twin for Network Slicing and Admission Control in 5G and O-RAN
* Digital twins for 5G and O-RAN Network Infrastructure-Sharing
* AI/ML-Powered DT Virtualization for IoT Beyond 5G Networks
* Digital Twins for Visualization and Mobility Management in 5G/6G Networks.
* DT-aware resource allocation and task scheduling in IoT networks
* DT-based efficient resource allocation in 5G/6G
* DTs for Secure Access Service Edge (SASE)
* Digital Twins for SD-WAN Consolidation
* Digital Twin for Intent-Based Networking
* DT-based Machine learning Closed-Control Loops beyond 5G networks
* DT for Zero Touch Network slicing, augmentation and operations
* Blockchain-based trust mechanism for Digital Twin
* Traceability supported by distributed ledgers for DT emerging Networks
* DT-enabled Cybersecurity and Privacy-Preserving for 5G and beyond
* AI-Powered Digital Twins for Anomaly Detection and Localization
* Digital Twins for Complex Systems in Big Data and Cognitive Computing DT in Emerging IoT application domains:
*
Smart Cities Digital Twin
* DT for Robotics, UAVs, Cellular-Connected Drones, and Self-Driving Vehicles
* DT in smart farming and Agri-Food Sector
* DT in Smart Grids and Integrated Energy Systems
* Digital Therapeutics, Digital Twin for Mixed/Augmented Reality in Healthcare
* AI-Powered Models and DT for Personalized and Patient-Specific Healthcare
* DT for Metaverse and utility Digitalization with AI and Augmented Reality
* Application of DT in industry 3D Visualization Platforms
* Application of DT in Metaverse Industrial Product's Manufacturing
* Application of DT in Spinning Intelligent Factory
* Application of DT in multi-dimensional intelligent manufacturing space
* DT in Zero Defect Manufacturing
* Recent Developments and Future Perspectives of DT in Smart Industrial Systems
* DT for Smart Production and Logistics and Supply Chain
*
Application of the digital twin in multi-dimensional intelligent manufacturing space
Important Dates
* Deadline for paper submission: June 26, 2023
* Latest acceptance deadline for all papers: August 30, 2023
Manuscript Submission Instructions
The FGCS’s submission system ( [ https://www.editorialmanager.com/FGCS/default.aspx | https://www.editorialmanager.com/FGCS/default.aspx ] ) will be open for submissions to our Special Issue from January 26, 2023. When submitting your manuscript, please select the article type VSI: SI on DT4IoT .
All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue.
[Apologies for multiple postings.]
******************************************************************
Final Call for Papers: 28th International Conference on Conceptual
Structures (ICCS 2023)
September 11th-13rd, 2023, Berlin, Germany
Website: https://iccs-conference.org/
Twitter: @iccs_confs
Contact us: contact(a)iccs-conference.org
******************************************************************
**********
About ICCS
**********
The International Conferences on Conceptual Structures (ICCS) focus on
the formal analysis and representation of conceptual knowledge at the
crossroads of artificial intelligence, human cognition, computational
linguistics, and related areas of computer science and cognitive
science. The ICCS conferences evolved from seven annual workshops on
conceptual graphs, starting with an informal gathering hosted by John F.
Sowa in 1986. Recently, graph-based knowledge representation and
reasoning (KRR) paradigms have been getting more and more attention.
With the rise of quasi-autonomous AI, graph-based representations
provide a vehicle for making machine cognition explicit to human users.
ICCS 2023 will take place in Berlin, Germany, in September 2023.
Scholars, students and industry participants from different disciplines
will meet for several weeks of conferences, workshops, summer schools,
and public events to engage with the broad topics, issues and challenges
related to knowledge in the 21st century.
Submissions are invited on significant, original, and previously
unpublished research on the formal analysis and representation of
conceptual knowledge in artificial intelligence (AI). All papers will
receive mindful and rigorous reviews that will provide authors with
useful critical feedback. The aim of the ICCS 2023 conference is to
build upon its long-standing expertise in graph-based KRR and focus on
providing modelling, formal and application results of graph-based
systems. In particular, the conference welcomes contributions that
address graph-based representation and reasoning paradigms (e.g.
Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual
Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph
Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a
modelling, theoretical and application viewpoint.
****************
Invited Speakers
****************
The following speaker will give keynote talks in addition to the
technical programme:
- Camille Roth (French National Centre for Scientific Research, Centre
Marc Bloch)
- Henrik Müller (TU Dortmund University)
- Nina Gierasimczuk (Technical University of Denmark)
******
Topics
******
- Topics include but are not limited to:
- Existential and Conceptual Graphs
- Graph-based models for human reasoning
- Social network analysis
- Formal Concept Analysis
- Conceptual knowledge acquisition
- Data and Text mining
- Human and machine reasoning under inconsistency
- Human and machine knowledge representation and uncertainty
- Automated decision-making
- Argumentation
- Constraint satisfaction
- Preferences
- Contextual logic
- Ontologies
- Knowledge architecture and management
- Semantic Web, Web of Data, Web 2.0, Linked (Open) Data
- Conceptual structures in natural language processing and linguistics
- Metaphoric, cultural or semiotic considerations
- Resource allocation and agreement technologies
- Philosophical, neural, and didactic investigations of conceptual,
graphical representations
**************************
Important Dates (Extended)
**************************
- Abstract registration deadline: April 3, 2023 (AoE)
- Submission deadline: April 10, 2023 (AoE)
- Paper Reviews Sent to Authors: May 21, 2023 (AoE)
- Rebuttals Due: May 28, 2023 (AoE)
- Notification to authors: June 7, 2023 (AoE)
- Camera-ready papers due: June 21, 2023 (AoE)
******************
Submission Details
******************
We invite scientific papers of up to fourteen pages, short contributions
of up to eight pages, and extended poster abstracts of up to three
pages. Papers and poster abstracts must be formatted according to
Springer’s LNCS style guidelines and not exceed the page limit. Papers
will be subject to double-blind peer review, in which the reviewers do
not know the author's identity. We recommend using services like
https://anonymous.4open.science/ to anonymously share code or data.
Anonymized works that are available as preprints (e.g., on arXiv or
SSRN) may be submitted without citing them. Submission should be made
via EasyChair: https://easychair.org/conferences/?conf=iccs2023. All
paper submissions will be refereed, and authors will have the
opportunity to respond to reviewers’ comments during the rebuttal phase.
Accepted papers will be included in the conference proceedings,
published by Springer in the LNCS/LNAI series. Poster submissions will
also be refereed, and selected poster abstracts might be included in
the conference proceedings. At least one author of each accepted paper
or poster must register for the conference and present the paper or
poster there. Proceedings will be indexed by DBLP.
**********
Organizers
**********
General Chair:
Robert Jäschke, Information Processing and Analytics, Humboldt
University of Berlin, Germany
Program Chairs:
Manuel Ojeda Aciego, Dept. Applied Mathematics, University of Málaga, Spain
Kai Sauerwald, Artificial Intelligence Group, FernUniversität in Hagen,
Germany
*****************
Program committee
*****************
- Bernd Amann – Sorbonne Université – LIP6, France
- Simon Andrews – Sheffield Hallam University, UK
- L’ubomír Antoni – Univ. P.J. Safárik, Slovakia
- Pierre Bisquert – INRAE, France
- Tanya Braun – Univ. of Münster, Germany
- Peggy Cellier – IRISA/INSA Rennes, France
- Pablo Cordero — Univ. de Málaga, Spain
- M.Eugenia Cornejo — Univ. de Cádiz, Spain
- Diana Cristea – Babes-Bolyai Univ. Cluj-Napoca, Romania
- Licong Cui – The Univ. of Texas Health Science Center at Houston, USA
- Harry Delugach – Univ. of Alabama in Huntsville, USA
- Dominik Endres – Univ. of Marburg, Germany
- Jérôme Euzenat – INRIA, France
- Marcel Gehrke – Univ. of Lübeck, Germany
- Raji Ghawi – Technical Univ. of Munich, Germany
- Ollivier Haemmerlé – IRIT, Univ. Toulouse le Mirail, France
- Tom Hanika – Univ. of Kassel, Germany
- Dmitry Ignatov – National Research Univ., Higher School of Economics,
Russia
- Hamamache Kheddouci – Univ. Claude Bernard, France
- Petr Krajca – Univ. Palacky Olomouc, Czech Republic
- Ondrej Krídlo — Univ. P.J. Safárik, Slovakia
- Leonard Kwuida – Bern Univ. of Applied Sciences, Switzerland
- Domingo López-Rodríguez — Univ. de Málaga, Spain
- Philippe Martin – UEA2525 LIM, Univ. of La Réunion, France
- Jesús Medina — Univ. de Cádiz, Spain
- Amedeo Napoli – LORIA Nancy (CNRS – Inria – Univ. de Lorraine), France
- Sergei Obiedkov – National Research Univ., Higher School of Economics,
Russia
- Carmen Peláez-Moreno – Univ. Carlos III Madrid, Spain
- Heather D. Pfeiffer – Akamai Physics, Inc., USA
- Uta Priss – Ostfalia University, Germany
- Christian Sacarea – Babes-Bolyai Univ. Cluj-Napoca, Romania
- Diana Sotropa – Babes-Bolyai Univ. Cluj-Napoca, Romania
- Francisco Valverde-Albacete — Univ Rey Juan Carlos, Madrid, Spain
*****************************************
KoDis: Workshop on Knowledge Diversity
==================================
Co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023),
September 2-8, 2023 Rhodes, Greece
https://kodis23.wordpress.com
== IMPORTANT DATES ==
Workshop paper submission deadline: May 31, 2023 (AOE)
Workshop paper notification: July 4, 2023 (AOE)
Workshop dates: September 2-4, 2023
== AIMS AND SCOPE ==
KoDis intends to create a space of confluence and a forum for discussion for researchers interested in knowledge diversity in a wide sense, including diversity in terms of diverging perspectives, different beliefs, semantic heterogeneity and others. The importance of understanding and handling the different forms of diversity that manifest between knowledge formalisations (ontologies, knowledge bases, or knowledge graphs) is widely recognised and has led to the proposal of a variety of systems of representation, tackling overlapping aspects of this phenomenon.
Besides understanding the phenomenon and considering formal models for the representation of knowledge diversity, we are interested in the variety of reasoning problems that emerge in this context, including reasoning with possibly conflicting sources, interpreting knowledge from alternative viewpoints, consolidating the diversity as uncertainty, reasoning by means of argumentation between the sources and pursuing knowledge aggregations among others. The following is a non-exhaustive list of topics of interest.
- Philosophical and cognitive analysis of knowledge diversity.
- Formal models for the representation of knowledge diversity.
- Ontological approaches capturing multiple perspectives and viewpoints.
- Context and concept formation in such systems.
- Consistency (or not) in multi-perspective systems; assessment and mitigation of inconsistencies.
- Communication between knowledge-diverse systems.
- Argumentation-based approaches for dealing with inconsistency
- Aggregation of diverse or inconsistent knowledge; judgement aggregation.
- Uncertainty in the context of knowledge diversity.
- Applications of formal models of knowledge diversity.
== SUBMISSIONS ==
We encourage three types of contributions:
- Full research papers: Submitted papers must not exceed 14 pages excluding the bibliography, and must include an abstract of no more than 300 words. Please, note that the minimum length is 10 pages.
- Short papers: Submitted papers must not exceed 6 pages excluding the bibliography, and must include an abstract of no more than 300 words. Please, note that the minimum length is 5 pages (including the bibliography).
- Extended abstracts (presentation only): should be 2-4 pages long including the bibliography. Please, note that extended abstracts will not be included in the CEUR proceedings.
More information at https://kodis23.wordpress.com
== ORGANISATION ==
Lucía Gómez Álvarez (TU Dresden, Germany) ---- contact: lucia.gomez_alvarez(a)tu-dresden.de
Rafael Peñaloza (University of Milano-Bicocca, Italy)
Srdjan Vesic (CNRS, France)
_________________________
Dr. Lucía Gómez Álvarez
Computational Logic Group
Institute for Artificial Intelligence
Faculty of Computer Science
TU Dresden
GERMANY
JELIA 2023 SECOND CALL FOR PAPERS
18th European Conference on Logics in Artificial Intelligence (JELIA 2023)
September 20-22, 2023
TU Dresden, Germany
https://jelia2023.inf.tu-dresden.de/
== IMPORTANT DATES ==
Abstract submission: 22 May 2023
Paper submission: 25 May 2023
Notification of acceptance: 10 July 2023
Camera-ready due: 27 July 2023
The Program Committee of the 18th European Conference on Logics in Artificial Intelligence (JELIA 2023) invites the submission of technical papers for the conference that will be held in Dresden, Germany, from the 20th to the 22nd of September of 2023.
== AIMS AND SCOPE ==
The aim of JELIA 2023 is to bring together active researchers interested in the use of logics in Artificial Intelligence, in order to discuss current research, results, problems, and applications of both theoretical and practical nature. JELIA strives to foster links and facilitate cross-fertilization of ideas among researchers from various disciplines, among researchers from academia and industry, and between theoreticians and practitioners.
Authors are invited to submit papers presenting original and unpublished research in all areas related to the use of logics in Artificial Intelligence, including, but not limited to:
* Abductive and inductive reasoning
* Applications of logic-based AI systems
* Argumentation
* Automated reasoning including satisfiability checking and its extensions
* Causality and logics
* Computational complexity and expressiveness
* Deontic logic and normative systems
* Description logics and other logical approaches to ontologies
* Knowledge representation, reasoning, and compilation
* Learning and reasoning
* Logic programming, answer set programming, constraint logic programming
* Logics in machine learning
* Logics for uncertain and probabilistic reasoning
* Logics in multi-agent systems, games, and social choice
* Neural networks and logic rules
* Non-classical logics, such as modal, temporal, epistemic, dynamic, spatial, paraconsistent, and hybrid logics
* Nonmonotonic logics, default logics, conditional logics
* Planning and diagnosis based on logic
* Preferences and optimization
* Reasoning about actions
* Updates, belief revision, and nonmonotonic reasoning
Submissions describing implemented systems/applications and their application area(s) are also welcome.
== SPECIAL TRACK ==
This year's conference will include a Special Track on Logics for Explainable and Trustworthy AI. We welcome contributions that describe logic-based approaches to making AI more transparent, safer, and more trustworthy. The track aims to draw attention to this timely topic and create a space for discussing the role of logic. The papers accepted for the special track will be presented in dedicated sessions at the conference.
== AWARDS ==
JELIA 2023 is happy to announce that there will be Best Paper and Best Student Paper Prizes sponsored by Springer, each is a cash prize amounting to EUR 500. The Program Committee will select for this honor the contribution of the highest technical excellence and scientific merit. In the case of the latter award, the primary author of the paper must be a student at the time of submission.
In previous editions, the best paper of JELIA has been invited to the sister conference track of IJCAI, and the conference series intends to carry on with this tradition.
The authors of selected contributions of outstanding quality will be invited to submit an extended version of their work to the TPLP journal and will enjoy fast-track reviewing and publication.
== SUBMISSION DETAILS ==
Submission Site: https://easychair.org/conferences/?conf=jelia2023
JELIA 2023 welcomes submissions of long or short papers. All submissions should contain original research, and sufficient detail to assess the merits and relevance of the contribution.
Submissions must not have been previously published or be simultaneously
submitted for publication elsewhere; see also the note below.
All submissions should not exceed 13 pages for long papers and 6 pages
for short papers (excluding references, including everything else, for
example figures), and should be written in English. Submissions must be
formatted according to the standard Springer LNCS style (see https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…), and are not anonymous. The conference proceedings of JELIA 2023 will be
published by Springer Verlag in the series Lecture Notes in Artificial
Intelligence, a sub-series of Lecture Notes in Computer Science
(important note: Springer will require all the LaTeX source files of all
accepted submissions).
== INVITED SPEAKERS ==
Mario Alviano, University of Calabria
Katie Atkinson, University of Liverpool
Franz Baader, TU Dresden
Vaishak Belle, University of Edinburgh
== CONFERENCE CHAIRS ==
** General Chair
Sarah Alice Gaggl, TU Dresden, Germany
** Program Chairs
Maria Vanina Martinez, IIIA - CSIC, Spain
Magdalena Ortiz, Umeå University, Sweden
**Local Organization Chairs
Marcos Cramer • TU Dresden, Germany
Martin Diller • TU Dresden, Germany
**Technical Chairs
Stefan Borgwardt • TU Dresden, Germany
Stefan Ellmauthaler • TU Dresden, Germany
**Publicity Chairs
Lucía Gómez Álvarez • TU Dresden, Germany
Dominik Rusovac • TU Dresden, Germany
**Finance Chairs
Sarah Alice Gaggl • TU Dresden, Germany
Hannes Straß • TU Dresden, Germany
== POLICY ON MULTIPLE SUBMISSIONS ==
JELIA 2023 will not accept any paper that, at the time of submission, is
under review or has already been published or accepted for publication in
a journal or another conference. Authors are also required not to submit
their papers elsewhere during JELIA's review period. However, these
restrictions do not apply to previous workshops with a limited audience
and without archival proceedings.
Any additional questions can be directed towards the JELIA Chairs:
jelia2023(a)easychair.org
_________________________
Dr. Lucía Gómez Álvarez
Computational Logic Group
Institute for Artificial Intelligence
Faculty of Computer Science
TU Dresden
GERMANY
++ CALL FOR PARTICIPATION ++
It's just a couple of days until the Text2Story@ECIR’23 workshop (6th International Workshop on Narrative Extraction from Texts). Text2Story'23 will be a hybrid event to take place in Dublin, Ireland and Online (GMT). We invite all the interested in this thematic to join us either in-person or online on the 2nd of April. Registrations are open here: https://ecir2023.org/registration.html
The workshop program consists of two keynote speeches by Georgiana Ifrim from University College Dublin, Ireland and Valentina Bartalesi from the CNR-ISTI, Italy, and the presentations of fourteen research papers and five demo presentations. More details about the program can be found on the Text2Story 2023 workshop webpage: http://text2story23.inesctec.pt
++ Invited Speakers ++
- Georgiana Ifrim [University College Dublin] who will give a talk entitled "Structured Summarisation of News at Scale"
- Valentina Bartalesi [CNR-ISTI] who will give a talk entitled "Creating and Visualising Semantic Story Maps"
++ List of Papers ++
- Multilingual Analysis of YouTube's Recommendation System: Examining Topic and Emotion Drift in the 'Cheng Ho' Narrative [Ugochukwu Onyepunuka, Mustafa Alassad, Lotenna Nwana and Nitin Agarwal]
- NewsLines: Narrative Visualization of News Stories [Mariana Costa and Sérgio Nunes]
- Annotation and visualisation of reporting events in textual narratives [Purificação Silvano, Evelin Amorim, António Leal, Inês Cantante, Silva Fátima, Alípio Jorge, Ricardo Campos and Sérgio Nunes]
- Segmenting Narrative Synopses into Spans for Different Event Reporting Modes [Pablo Gervás]
- On the Definition of Prescriptive Annotation Guidelines for Language-Agnostic Subjectivity Detection [Federico Ruggeri, Francesco Antici, Andrea Galassi, Katerina Korre, Ariann Muti and Alberto Barrón-Cedeño]
- Edge Labelling in Narrative Knowledge Graphs [Vani Kanjirangat and Alessandro Antonucci]
- End-to-End Temporal Relation Extraction in the Clinical Domain [José Javier Saiz and Begoña Altuna]
- Cross-lingual transfer learning for detecting negative campaign in Israeli municipal elections: a case study [Marina Litvak, Natalia Vanetik and Lin Miao]
- The Same Thing - Only Different: Classification of Movies by their Story Types [Chang Liu, Armin Shmilovici and Mark Last]
- ScANT: A Small Corpus of Scene-Annotated Narrative Texts [Tarfah Alrashid and Robert Gaizauskas]
- A cognitive theoretical approach of rhetorical news analysis [Ishrat Sami, Tony Russell-Rose and Larisa Soldatova]
- Modelling Interestingness: stories as L-Systems and Magic Squares [Cosimo Palma]
- On the Readability of Misinformation in Comparison to the Truth [Mohammadali Tavakoli, Harith Alani and Gregoire Burel]
- Multi-label Infectious Disease News Event Corpus [Jakub Piskorski, Nicolas Stefanovitch, Brian Doherty, Jens Linge, Sopho Karazi, Jas Mantero, Guillaume Jacquet, Alessio Spadaro and Giulia Teodori]
++ List of Demonstrations ++
- Integration of a Semantic Storytelling Recommender System in Speech Assistants [Maria Gonzalez Garcia, Julian Moreno Schneider, Malte Ostendorff and Georg Rehm]
- Extracting Imprecise Geographical and Temporal References from Journey Narratives [Ignatius Ezeani, Paul Rayson and Ian Gregory]
- The Funhouse Mirror Has Two Sides: Visual Storification of Debates with Comics [Tony Veale]
- Comprehensive Terms Board Visualization for News Analysis and Editorial Story Planning [Ishrat Sami, Tony Russell-Rose and Larisa Soldatova]
- A Web Tool to Create and Visualise Semantic Story Maps [Valentina Bartalesi, Emanuele Lenzi and Nicolò Pratelli]
We hope to see you in Dublin [or online] on the 2nd of April.
All the best,
Hugo Sousa, on behalf of the Text2Story 2023 Workshop Chairs:
Ricardo Campos, Alípio Jorge, Adam Jatowt, Sumit Bhatia and Marina Litvak
Dear all,
there is currently a predatory "International Conference on Formal
Concept Analysis" announced, that is claimed to take place in Tokyo.
The true and real ICFCA [1] will take place in Kassel in July, though,
and we are looking forward to meeting you here. We will send a call for
participation on this list once the registration is open.
Best regards,
Gerd
[1] https://www.kde.cs.uni-kassel.de/icfca2023/
PS: If you want to read more about those predatory conferences, have a
look at
https://en.wikipedia.org/wiki/World_Academy_of_Science,_Engineering_and_Tec…
--
Prof. Dr. Gerd Stumme, Hertie Chair of Knowledge & Data Engineering &
Research Center for Information System Design (ITeG) &
International Center for Higher Education Research (INCHER),
University of Kassel &
Research Center L3S &
The Hessian Center for Artificial Intelligence (hessian.AI)
http://www.kde.cs.uni-kassel.de, Tel. +49 561/804-6251