Call for participation:
Workshop on Software Engineering Challenges of Cloud Computing

in conjunction with the 31st International Conference on Software
Engineering (ICSE)

May 23rd, 2009, Vancouver, Canada
http://www.icse-cloud09.org

Overview:
-------------
Cloud Computing has emerged as a new paradigm for deploying, managing and offering services through a shared infrastructure. The projected benefits of cloud computing are very compelling both from a cloud consumer as well as a cloud services provider perspective: ease of deployment of services; low capital expenses and constant operational expenses leading to variable pricing schemes and reduced opportunity costs; leveraging the economies of scale for both services providers and users of the cloud. However, the actual realization of these perceived benefits are far from being well-achieved and pose a broad range of interesting questions.

Program:
------------
8:30 – 8:45 Morning coffee

8:45 – 8:50 Welcome (K. Bhattacharya, M. Bichler, S. Tai)
8:50 – 9:50 Industry Keynote: Jamie Kinney, Amazon
9:50 – 10:50 Academic Keynote: Anna Liu, UNSW

10:50 – 11:15 Coffee break

11:15 – 12:45 Session 1: Cloud Service Management

• Autonomic virtual resource management for service hosting platforms

Hien Nguyen Van, Frederic Dang Tran and Jean-Marc Menaud

• Network-aware migration control and scheduling of differentiated virtual machine workloads

Alexander Stage and Thomas Setzer

• Performance Model Driven QoS Guarantees and Optimization in Clouds

Zhanwen (Jim) Li, John Chinneck, Murray Woodside, Marin Litoiu and Gabriel Iszlai

12:45 – 14:00 Lunch break

14:00 – 15:30 Session 2: Cloud Service Engineering I

• What's Inside the Cloud? An Architectural Map of the Cloud Landscape

Alexander Lenk, Thomas Sandholm, Markus Klems, Jens Nimis and Stefan Tai

• Engineering the Cloud from Software Modules

Jan Rellermeyer, Michael Duller and Gustavo Alonso

• Virtualized Recomposition: Cloudy or Clear?

Chris Matthews and Yvonne Coady

15:30 – 16:00 Coffee break

16:00 – 17:30 Session 3: Cloud Service Engineering II

• Taking Account of Privacy when Designing Cloud Computing Services

Siani Pearson
• Experiencing with the Cloud over gLite

Carmelo Ragusa, Francesco Longo and Antonio Puliafito
• Software Deployment in a Dynamic Cloud

From Device to Service Orientation in a Hospital Environment; Sander van der Burg, Eelco Dolstra, Merijn de Jonge and Eelco Visser

17:30 – 18:00 Wrap-up (K. Bhattacharya, M. Bichler, S. Tai)


TPC members:
---------------------
Gustavo Alonso (ETH Zurich)
Claudio Bartolini (HP Labs)
Kamal Bhattacharya (IBM Research)
Martin Bichler (TU Munich)
Yiling Chen (Harvard)
Schahram Dustdar (TU Wien)
Wolfgang Emmerich (UC London)
Joseph Hellerstein (Google)
Frank Leymann (Stuttgart University)
Anna Li (Microsoft)
Heiko Ludwig (IBM Research)
Jens Nimis (FZI Karlsruhe)
Thomas Sandholm (HP Labs)
Thomas Setzer (TU Munich)
Stefan Tai (Karlsruhe University)
Wolfgang Theilmann (SAP)
Maja Vukovic (IBM Research)
Rich Wolski (UC Santa Barbara)

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  1. CALL FOR PAPERS

    IEEE Intelligent Systems Special Issue on Deep Anomaly Analytics
    https://www.computer.org/digital-library/magazines/ex/cfp-deep-anomaly-analytics

    Editor in Chief: Longbing Cao

    Submissions due: 1 August 2022
    Publication: March/April 2023

    Anomalies (a.k.a. outliers) commonly exist in various real-world scenarios, such as fraud in finance and insurance, intrusion in cybersecurity, fault in safety-critical systems, bushfire early warning, disease outbreak control, fake news, images and videos in social media, and medical diagnosis. Some anomalies could cause disasters that lead to immense economic loss or even deaths unless discovered and dealt with on time. These applications make anomaly analytics increasingly relevant in the modern world. Due to its foremost importance, the study of anomaly detection has a long history and has created a wealth of anomaly detection methods. With the advent of big data, new challenges and questions are introduced, which inspires novel ways of developing algorithms, methods, and techniques to foster the analysis, modeling, interpretation, and prediction as well as detection of anomalies.

    Recent years have witnessed rapid growth in the number of academics and practitioners interested in artificial intelligence (AI) for anomaly detection. In particular, various deep learning models have been developed for anomaly detection. In many cases, however, deep models are hard to tune and hard to interpret. In addition, little attention has been paid to other aspects/phases (rather than anomaly detection) of the whole lifecycle of anomaly analytics. On the other hand, the increasing complexity of real-world cyber-physical systems is giving rise to unprecedented challenges facing anomaly analytics.

    This special issue aims to promote innovative AI research and development that address key challenges for detecting, describing, modelling, predicting, understanding, suppressing, and eliminating anomalies in various application domains. Topics of interest include, but are not limited to:
    - Foundations and principles of anomaly analytics
    - Novel AI models and algorithms for anomaly analytics
    - Graph learning for anomaly analytics
    - Deep learning techniques for anomaly detection
    - Anomaly modelling, analysis, and (deep) understanding
    - Descriptive, predictive, and prescriptive analytics of anomalies
    - Augmented intelligence for anomaly detection
    - Human-in-the-loop machine learning for anomaly detection
    - Trustworthy anomaly analytics
    - Fairness, transparency, and explainability
    - Privacy, safety, and security
    - Tools, platforms, and systems for deep anomaly analytics
    - Anomaly analytics in various domains

    For author information and guidelines on submission criteria, please visit the IS Author Information page (https://www.computer.org/csdl/magazine/ex). Please submit papers through the ScholarOne system (https://mc.manuscriptcentral.com/cs-ieee), and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.

    Contact the guest editors at is2-23@computer.org.

    Guest Editors
    - Feng Xia, Federation University Australia (Australia)
    - Leman Akoglu, Carnegie Mellon University (USA)
    - Charu Aggarwal, IBM T. J. Watson Research Center (USA)
    - Huan Liu, Arizona State University (USA)


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  2.  


    We would like to let you know we opened the ICWL 2022 International Conference on Web-Based Learning EasyChair page ready for the sending of proposals.

     

    https://easychair.org/conferences/?conf=icwl2022 

     

    ICWL is an annual International Conference on Web-based Learning, founded by the Hong Kong Web Society. The first ICWL was held in Hong Kong in 2002. Since then, ICWL has been held in Australia (2003), China (2004, 2008, 2010, 2015), Hong Kong (2005, 2011), Malaysia (2006), United Kingdom (2007), Germany (2009), Romania (2012), Taiwan (2013), Estonia (2014), Italy (2016), South Africa (2017), Thailand (2018), Germany (2019), China (2020) and Macao, China (2021). The 21th ICWL will be held on November 21st -23th, 2022 at University of La Laguna, Tenerife, Spain. It will feature a technical program of refereed papers selected by the international program committee, and keynote addresses offered by eminent scholars.

     

    Papers in all areas web-based learning are invited with a particular emphasis on the theme of the conference and on:



    * Assessment in e-learning

    * Informal Learning in the Workplace

    * Cloud-based Learning

    * Computer Support for Intelligent Tutoring

    * Computer-Supported Collaborative Learning

    * Deployment, Organization and Management of Learning Objects

    * Design, Model and Framework of e-Learning Systems

    * Digital libraries and Web corpora for e-learning

    * E-Learning Metadata and Standards

    * E-Learning Platforms and Tools

    * Game-based Learning and Serious Games

    * HTML5 Web-based Learning

    * Human Factors and Affective Computing for Learning

    * Informal Learning in the Workplace

    * Intelligent Learner and Group Modelling

    * Intelligent Tools for Visual Learning

    * Learning Analytics

    * Massive Open Online Courses (MOOC)

    * Mobile, Situated, and Blended Learning

    * Open educational resources (OER)

    * Pedagogical Issues

    * Personal Learning Environments (PLE)

    * Personalized and Adaptive Learning

    * Security and Privacy of Web-based Learning

    * Semantic Web and Ontologies for e-Learning

    * Virtual environments and 3D graphics for e-learning

    * Web 2.0 and Social Learning Environments

    * Web-based Learning for Oriental Languages Learning

     

    Proposals for participation in the ICWL 2022 International Conference on Web-Based Learning can be submitted in the following formats:

     

    * Full paper: 10 to 12 pages

    * Short paper: 6 to 8 pages

    * Submitted papers have to be in pdf format, and according to the Springer LNCS Authors Guidelines.

     

    Remind the dates of the conference >>>

    > July 4th, 2022 Paper submission 

    > September 1st, 2022 Notification of acceptance 

    > September 16th, 2022 Camera Ready and Full Registration 

    > November 21st -23th, 2022 Conference

     

    Please distribute this Call for Papers between your colleagues, we will wait

    for you in the sunny isle of Tenerife in November 2022.


    Carina S. González-González, Baltasar Fernandez Manjon and Frederick Li, Durham 

    ICWL 2022 general conference co-chairs

     

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  3. 19th International Conference on Content-based Multimedia Indexing

    https://cbmi2022.org/

    Sept. 14-16, 2022

    Graz, Austria

     

    Submission Deadline extended to April 24, 2022

     

    Call for Papers 

    Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications. We wish to highlight significant contributions addressing the main problem of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval.

     

    We are also calling for papers addressing the following special sessions:

    - MSPND: Multimodal Signal processing technologies for Protecting people and environment against Natural Disasters

    - Computer-Assisted Clinical Applications

    - Learning from scarce data challenges in the media domain

    - Multimedia Analysis for Digital Twins

    Authors can submit full length (6 pages - to be presented as oral presentation) or short papers (4 pages - to be presented as posters). The submissions are peer reviewed in a single blind process. The language of the conference is English. 

    The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP - Springer).

    For details about the special sessions see https://cbmi2022.org/call-for-special-session-papers/

     

     

    Call for Demos

    We invite authors to report on novel and compelling demonstrations in all topic areas of CBMI. Demonstration papers are subject to peer review according to criteria such as novelty, interestingness, applications of or enhancements to state-of-the-art, and potential impact.

    The length of the papers should be up to 4 pages. An additional 1-2 pages should be appended to the paper that illustrate how the demo will be conducted on-site at CBMI. This additional content will not be published in the conference proceedings, should the submission be accepted. We also recommend including a URL linking to a short video (max. 3 min) to accompany the paper that shows the demo in action. The submissions are peer-reviewed in a single-blind process. Presenters are expected to bring the necessary equipment (computers, etc.) themselves. The conference will provide a table, power outlet, screen, wireless (shared) internet and a poster board. If you have special needs (e.g., more space), please include a related note in your demo submission.

    Topics 

    Topics of interest to the CBMI community include, but are not limited to, the following:

    Content analysis and indexing

    - Audio and visual and multimedia indexing

    - Multimodal and cross-modal indexing

    - Deep learning for multimedia analysis and indexing

    - Audio (speech, music, etc) and visual content analysis and understanding

    - Identification and tracking of semantic regions and events

    - Social media analysis

    - Metadata generation, coding and transformation

    - Activity recognition and event-based multimedia indexing

    - New technologies for indexing, for example, bio-inspired, spiking neural networks

    Search, retrieval and recommendation

    - Multimedia information retrieval (image, audio, video, text)

    - Mobile media retrieval

    - Event-based media retrieval

    - Affective/emotional interaction or interfaces for multimedia retrieval

    - Multimedia data mining and analytics

    - Multimedia retrieval for multimodal analytics and visualisation

    - Multimedia recommendation

    - Multimedia verification (e.g., multimodal fact checking, deep fake analysis)

    - Large scale multimedia database management

    - Summarization, browsing and organization of multimedia content

    - Evaluation and benchmarking of multimedia retrieval systems

    Multimedia user experience

    - User interaction and relevance feedback

    - Multimedia interfaces, presentation and visualization tools

    - Personalization and content adaptation

    - Virtual, augmented and mixed reality interfaces for multimedia search

    Applications of multimedia indexing and retrieval, e.g., cultural heritage, medicine, lifelogs, satellite imagery, augmented and mixed reality, video surveillance, forensics, security, atmosphere and astronomy. 

     

    Important Dates

     

    Deadline for Regular, Special Session and Demo Papers: April 24, 2022

    Notification of acceptance: May 29, 2022

    Camera ready papers due: June 19, 2022

    Conference: Sept. 14-16, 2022

     

     

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  4. *Final call for papers*
    *Submission deadline extended to April 16th*

    EMPATHY: Empowering People in Dealing with Internet of Things Ecosystems
    - 3rd Edition
    https://empathy-ws.github.io/2022/
    June 6th, 2022
    Rome, Italy
    Workshop co-located with AVI 2022

    OVERVIEW
    In the last decade, the spreading of low-cost technologies integrating
    sensors and actuators has favored the development of the so-called smart
    objects. This trend has been further fostered by the Internet of Things
    (IoT), which connects the physical world with Internet via ubiquitous
    sensors and actuators. The opportunities offered by the IoT are
    amplified by the use of new approaches that, based on novel interaction
    paradigms, involve directly non-technical users in configuring the joint
    behavior of their smart objects, among them and with online services.

    Existing solutions to define the behavior of such "IoT ecosystems" range
    from systems that leave the users complete control for establishing the
    joint behavior of smart objects, to solutions that automatically define
    smart objects behavior exploiting intelligent techniques. In this
    continuum, different technologies, frameworks, and approaches present
    different levels of user control and automation. In this perspective it
    is also important to consider the emerging role played by social and
    humanoid robots, which are integrated sets of sensors and actuators with
    human-like behaviours.

    DATES
    April 16th: Paper submission deadline (extended)
    April 22th: Paper acceptance notice
    April 29th: Camera-ready submission
    June 6th: Workshop

    SUGGESTED TOPICS FOR CONTRIBUTIONS
    This workshop aims to serve as a venue for discussing ongoing research
    and sharing ideas for researchers and practitioners working on solutions
    to personalize the behavior of IoT ecosystems. We aim to encourage
    participation in order to have stimulating discussion from various
    perspectives. Topics include, but are not limited, to:

    - End-User Development (EUD) for IoT;
    - Interaction Paradigms for IoT;
    - Usability of IoT Systems;
    - Interface Design for IoT;
    - Intelligent Interface for IoT Systems;
    - Accessibility for IoT Systems;
    - Virtual and Augmented Reality for EUD in IoT settings;
    - Conversational User Interfaces for EUD;
    - Usable Privacy and Security in IoT systems;
    - Personalisation and Recommendations for IoT;
    - IoT for Cultural Heritage;
    - Personalization of humanoid robots;
    - Ubiquitous computing and mobile human-computer interaction;
    - Human-centered artificial intelligence in IoT contexts;
    - Industry case studies.

    PARTICIPATION
    This will be a one-day workshop, oriented towards discussions, hands-on
    sessions, and presentations. We invite submissions of two types: short
    papers (3-4 pages) and position papers (1-2 pages). Participants are
    asked to submit their paper describing their recent or future work in
    one of the areas indicated in the topics of interest. All submissions
    must be in the new ACM master article template
    (https://chi2022.acm.org/for-authors/).

    Papers should be submitted in PDF to Easychair
    (https://easychair.org/conferences/?conf=empathy2022). All papers will
    be reviewed by the organizers and by the program committee based on
    relevance and significance in order to provide constructive comments to
    the submitters. Reviewing will be double blind (i.e. the submissions
    must be anonymized). If accepted, at least one of the authors must
    register and attend the workshop. Final versions of the accepted papers
    will be published in the CEUR Workshop Proceedings, which is indexed by
    Scopus.

    ORGANIZERS
    - Fabrizio Balducci, University of Bari "Aldo Moro"
    - Bernardo Breve, University of Salerno
    - Federica Cena, University of Torino
    - Andrea Mattioli, CNR-ISTI
    - Mehdi Rizvi, Politecnico of Milano
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  5. * At a Glance

        . Submission Deadline: June 15th, 2022

        . Location: Hyderabad, India (co-located with ER'22)

        . Papers: Complete studies, designs, or position papers (10 LNCS pages max)

        . Web site: https://emper-workshop.github.io/2022/

     

    * Overview

    Conceptual modeling has enjoyed substantial growth over the past decades in diverse fields such as Information Systems Analysis, Software Engineering, Enterprise Architecture, Business Analysis and Business Process Engineering. A plethora of conceptual modeling languages, frameworks and systems have been proposed, promising to facilitate activities such as communication, design, documentation, or decision-making. Success in designing a conceptual modeling system is, however, predicated on demonstrably attaining language goals through observing their use in practical scenarios. At the same time, the way individuals and groups produce and consume models gives raise to cognitive, behavioral, organizational, or other phenomena, whose systematic observation may help us better understand how models are used in practice and how we can make them more effective.

     

    * Aim and Topics

    We aim at bringing together researchers with an interest in the empirical investigation of conceptual modeling systems and practices. We invite reports on finished, on-going or proposed empirical studies and theoretical, review and experience papers about empirical research in conceptual modeling. Examples of contributions include but are not limited:

         . Complete, on-going, or planned empirical studies in Conceptual Modeling.

         . Literature Reviews on empirical research in Conceptual Modeling.

         . Theoretical/philosophical positions on empirical Conceptual Modeling.

         . Discussions/positions on statistical and methodological issues.

         . Lessons learned from past studies.

     

    * Submissions

    We solicit three types of papers:

         . Full papers describing a completed study.

         . Work-in-progress papers describing a planned study or study in progress.

         . Position, vision, and lessons papers about the use of empirical methods for conceptual modelling.

     

    Papers shall be limited to 10 pages in LNCS format. The EmpER'22 accepted papers will be published within the ER Workshop proceedings, in the Springer LNCS Series.

     

    * Format and Duration

    The workshop will consist of paper presentations with an emphasis on discussion. Time permitting, papers presenting on-going studies will have a discussion session led by a designated member of the program committee.

     

    * Location

    The workshop is co-located with the 41st International Conference on Conceptual Modeling (ER 2022), which will take place in Hyderabad, India.

     

    * Important Dates

         . Submission date: June 15th, 2022

         . Workshop author notification: July 14th, 2022

         . Camera-ready submission: July 27th, 2022

         . Workshop dates: October 17th-20th, 2022 (exact day to be confirmed)

     

    * Workshop Organizers

        . João Araujo, Universidade Nova de Lisboa, Portugal

        . Dominik Bork, TU Wien, Austria

        . Miguel Goulão, Universidade Nova de Lisboa, Portugal

        . Sotirios Liaskos, York University, Canada

     

     

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  6. ****************************************** 

    AIED2022 Final Call for Late-Breaking Results
    ****************************************** 
    We are pleased to invite you to contribute to the program of AIED2022  by submitting your late breaking results. The late-breaking results track offers an opportunity for presenting compelling, preliminary results and innovative work in progress. The goal is to give new, but not necessarily mature work a chance to be seen by other researchers and practitioners and to be discussed at the conference. Accepted submissions will be presented during the conference as posters. 
    The 23rd international conference on Artificial Intelligence in Education will take place between 27-31 July, 2022 at the University of Durham (UK) and virtually. 

    AIED2022 will be collocated with EDM2022.  Its theme will be: 
    AI in Education: Bridging the gap between academia, business, and non-profit in preparing future-proof generations towards ubiquitous AI.

    The conference sets the ambitious goal to stimulate discussion on how AI has shaped and can shape education for all sectors, how to advance the science and engineering of intelligent interactive learning systems, and how to promote their broad adoption. Engaging with the various stakeholders - researchers, educational practitioners, entrepreneurs, businesses, policy makers, teachers, and students - the conference will set a wider agenda on how novel research ideas can meet practical needs to build effective intelligent human-technology ecosystems that support learning.
    AIED 2022 is the 23rd edition of a longstanding series of international conferences, known for high quality and innovative research on intelligent systems and cognitive science approaches for educational computing applications. AIED 2022 solicits empirical and theoretical papers particularly (but not exclusively) in the following lines of research and application:
    * Intelligent and Interactive Technologies in an Educational Context: Natural language processing and speech technologies; Data mining and machine learning; Knowledge representation and reasoning; Semantic web technologies; Multi-agent architectures; Tangible interfaces, wearables and augmented reality.
    * Modelling and Representation: Models of learners, including open learner models; facilitators, tasks and problem-solving processes; Models of groups and communities for learning; Modelling motivation, metacognition, and affective aspects of learning; Ontological modelling; Computational thinking and model-building; Representing and analyzing activity flow and discourse during learning.
    * Models of Teaching and Learning: Intelligent tutoring and scaffolding; Motivational diagnosis and feedback; Interactive pedagogical agents and learning companions; Agents that promote metacognition, motivation and affect; Adaptive question-answering and dialogue, Educational data mining, Learning analytics and teaching support, Learning with simulations
    * Learning Contexts and Informal Learning: Educational games and gamification; Collaborative and group learning; Social networks; Inquiry learning; Social dimensions of learning; Communities of practice; Ubiquitous learning environments; Learning through construction and making; Learning grid; Lifelong, museum, out-of-school, and workplace learning.
    * Evaluation: Studies on human learning, cognition, affect, motivation, and attitudes; Design and formative studies of AIED systems; Evaluation techniques relying on computational analyses.
    * Innovative Applications: Domain-specific learning applications (e.g. language, science, engineering, mathematics, medicine, military, industry); Scaling up and large-scale deployment of AIED systems.
    * Inequity and inequality in education: socio-economic, gender, and racial issues. Intelligent techniques to support disadvantaged schools and students.  Ethics in educational research: sponsorship, scientific validity, participant's rights and responsibilities, data collection, management and dissemination.
    * Design, use, and evaluation of human-AI hybrid systems for learning: Research that explores the potential of human-AI interaction in educational contexts; Systems and approaches in which educational stakeholders and AI tools build upon each other's complementary strengths to achieve educational outcomes and/or improve mutually. 
    * Online and distance learning: massive open online courses; remote learning in k-12 schools; synchronous and asynchronous learning; mobile learning; active learning in virtual settings

    ******************************************  
    ORGANIZING COMMITTEE
    General Chair
    Vania Dimitrova. University of Leeds, United Kingdom

    Program Co-chairs
    Maria Mercedes (Didith) T. Rodrigo, Ateneo de Manila University
    Noboru Matsuda, North Carolina State University

    Local Chair
    Alexandra Cristea, Durham University 

    Posters and Late-Breaking Results Co-chairs
    Carrie Demmans Epp, University of Alberta
    Sergey Sosnovsky, Universiteit Utrecht

    ****************************************** 
    SUBMISSION INSTRUCTIONS
    All submissions will be reviewed by the program committee to meet rigorous academic standards of publication. The review process will be double-blind review process, meaning that both the authors and reviewers will remain anonymous. To this end, authors should: (a) eliminate all information that could lead to their identification (names, contact information, affiliations, patents, names of approaches, frameworks, projects and/or systems); (b) cite to your prior work (if needed) in the third person; and (c) eliminate acknowledgments and references to funding sources. Papers will be reviewed for relevance, novelty, technical soundness, significance and clarity of presentation. 
    It is important to note that the work presented should not have been published previously or be under consideration in other conferences of journals. Any paper caught in double submission will be rejected without review.
    Late-breaking results submissions will be published by Springer Lecture Notes in Artificial Intelligence (LNAI), a subseries of Lectures Notes in Computer Science (LNCS). Submissions must be in Springer format. Papers that do not use the required format may be rejected without review. Authors should consult Springer's authors' guidelines (ftp://ftp.springernature.com/cs-proceeding/svproc/guidelines/Springer_Guidelines_for_Authors_of_Proceedings_CS.pdf) and use their proceedings templates, either for LaTeX (ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip) or for Word (ftp://ftp.springernature.com/cs-proceeding/llncs/word/splnproc1703.zip), for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. For further details about the format, please see https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.
    Maximum paper length is 4 pages including references (for a poster presentation).
    All submissions are handled via EasyChair:  https://easychair.org/conferences/?conf=aied2022
    ****************************************** 
    IMPORTANT DATES
    Late-breaking results submission: April 5, 2022
    Notification of decisions: May, 5, 2022
    Camera-ready version: May 23, 2022

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  7. We are pleased to announce that the paper submission system for the 43rd International Conference on Information Systems (ICIS) to be held from December 11-14 in Copenhagen, Denmark, is now open at: https://new.precisionconference.com/user/login.

    Please find the call for papers at: https://icis2022.aisconferences.org/submissions/call-for-papers/.
    We invite submissions for completed research papers, short papers, panel proposals, teaching cases, and professional development workshop (PDW) proposals. The theme for ICIS 2022 is "Digitization for the Next Generation".

    KEY DATES


    * Submission Open: February 25 (Fri)
    * Submission Deadline: May 3, 2022, 11:59PM EDT (New York time) (Tues)
    * Acceptance Notification: July 30 (Sat)
    * Final Paper Deadline: September 5 (Mon)
    * Final Acceptance Notification: September 29 (Thurs)
    * Doctoral Consortium: December 7-10
    * Pre- and Post-Conference Workshops: December 10-11 & 14
    * Main Conference: December 11-14
    Please visit the website at https://icis2022.aisconferences.org/ for a complete list of tracks as well as submission instructions, author guides, and much more.

    For your convenience, the complete list of tracks is available at:
    https://icis2022.aisconferences.org/submissions/track-descriptions/

    The author guide is available at https://icis2022.aisconferences.org/paper-templates-pcs-guide-for-authors/. Please email icis2022queries@gmail.com<mailto:icis2022queries@gmail.com> if you have any questions.
    Also, feel free to spread the word by forwarding this email or by sharing on social media using #icis2022.

    We look forward to your submissions.

    Tilo Bohmann, Kai-Lung Hui, Viswanath Venkatesh
    ICIS 2022 Program Co-Chairs

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  8. The 31st European Conference on Information Systems will be organized June 11th – 16th 2023, in Kristiansand, Norway, with the theme "Co-creating Sustainable Digital Futures".

    We cordially invite fellow researchers to help make ECIS 2023 a timely and relevant meeting place by proposing tracks on their particular field of interest. We aim at accepting 25 tracks.

    Each track is to be organised by three chairs. The track chairs should be based in three different countries. The co-chairs team for each track should possess sufficient level of academic seniority, in terms of being recognized in the field (of the track), e.g. through publications, as well as having editorial experience. We highly recommend a gender balanced composition of the co-chairs.



    Please find information here: https://ecis2023.no/ECIS2023_Call_for_Tracks.pdf



    Track proposals should be e-mailed to ecis2023@uia.no<mailto:ecis2023@uia.no> no later than April 3rd, 2022 12pm CET. Notifications of acceptance or rejection of proposed tracks will be sent out by May 16th, 2022.



    On behalf of the ECIS 2023 team,


    Conference Co-chairs:

    Margunn Aanestad, University of Agder, Norway

    Stefan Klein, WWU Münster, Germany

    Monideepa Tarafdar, University of Massachusetts Amherst, USA


    Conference program co-chairs:

    Shengnan Han, Stockholm University, Sweden

    Sven Laumer, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany

    Isabel Ramos, University of Minho, Portugal
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  9.  Call for Papers
    12th INT. WORKSHOP ON MODEL-DRIVEN REQUIREMENTS ENGINEERING (MoDRE)
    Co-located with the
        30th IEEE Int. Requirements Engineering (RE) Conference
        Held Virtually, August 15-19, 2022
    ===========================================================================

    The 12th International Model-Driven Requirements Engineering (MoDRE) workshop continues to provide a forum to discuss the challenges of Model-Driven Development (MDD) for Requirements Engineering (RE). Building on the interest of MDD for design and implementation, RE may benefit from MDD techniques when properly balancing flexibility for capturing varied user needs with formal rigidity required for model transformations as well as high-level abstraction with information richness. MoDRE seeks to explore those areas of RE that have not yet been formalized sufficiently to be incorporated into an MDD environment as well as how RE models can benefit from emerging topics in the model-driven community, such as flexible, collaborative, and AI-enabled modeling. We would like to explore how MoDRE can benefit from research methods and techniques used in other disciplines, such as sociology, as well as how MoDRE can help to ensure human values, ethics, sustainability, equality, and fairness in software systems. We look forward to identifying new challenges for MoDRE, discussing on-going work and potential solutions, analyzing the strengths and weaknesses of MDD approaches for RE, fostering stimulating discussions on the topic, and providing opportunities to apply MDD approaches for RE.

                      http://www.modre2022.ece.mcgill.ca/
    IMPORTANT DATES
    Abstract Submission : May   12th, 2022
    Paper Submission    : May   19th, 2022
    Author Notification : June  17th, 2022
    Camera Ready Due    : July   7th, 2022
    Workshop Date       : August 15th or 16th, 2022

    All deadlines are 23:59:59, Anywhere on Earth (AoE) Standard Time.

    For more information, see the complete CFP at
       http://www.modre2022.ece.mcgill.ca/cfp.htm
    or contact the organizers at modre2022-info at cs.mcgill.ca.

    TOPICS
    * Modeling languages and metamodels for requirements engineering approaches.
    * Modeling languages and metamodels for supporting separation of concerns in requirements models.
    * Modeling languages and metamodels for non-functional requirements.
    * Modeling languages and metamodels for requirements engineering for specific domains, such as cyber-physical systems and IoT, Big Data, AI applications, and Industry 4.0.
    * Synchronicity and consistency of different requirements models and views.
    * Requirements models for machine learning and deep learning solutions.
    * Requirements models at runtime.
    * Requirements models for human values and ethics.
    * Automatic analysis and simulation of requirements models.
    * Traceability and correctness of model transformations involving requirements models.
    * AI approaches for model transformations involving requirements models.
    * Flexible and collaborative modeling in requirements engineering.
    * Empirical studies on model-driven requirements engineering.
    * Automatic generation of tools for RE using MDD.
    * Requirements models for sustainability, fairness, or equality.
    * Requirements models for Green IT.
    * Research methods from other disciplines, such as sociology, for eliciting requirements models.
    * Requirements engineering approaches for low-code/no-code software development.

    Moreover, industry papers covering topics such as the following are highly welcome:

    * Industry problems and practices.
    * Success stories about adopting model-driven requirements engineering in industry.
    * Industrial empirical studies.

    SUBMISSION AND PROCEEDINGS PUBLICATION
    http://www.modre2022.ece.mcgill.ca/submission.htm

    ORGANIZING COMMITTEE
    Rijul Saini, PhD Candidate, McGill University, Canada
    Ana Moreira, Associate Professor, Universidade Nova de Lisboa, Portugal
    João Araújo, Associate Professor, Universidade Nova de Lisboa, Portugal
    Pablo Sánchez, Assistant Professor, Universidad de Cantabria, Spain

    PROGRAM COMMITTEE
    http://www.modre2022.ece.mcgill.ca/committees.htm

     
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  10. Call for Papers – Special Session on
    "Agile Development Practices for Big Data Analytics systems"  in SEKE 2022
    http://ksiresearch.org/seke/seke22.html <http://ksiresearch.org/seke/seke22.html>
    The Thirty Fourth International Conference on Software Engineering and Knowledge Engineering
    Virtual conference at the KSIR Virtual Conference Center, Pittsburgh, PA, USA,
    from July 1 to July 10, 2022.

    The conference aims at bringing together experts in software engineering and knowledge engineering to discuss on relevant results in either software engineering or knowledge engineering or both. Special emphasis will be put on the transference of methods between both domains. Submission of papers and demos are both welcome.

    Paper submission deadline: March 31, 2022

    AIM
    This special session in SEKE 2022 pursues to advance on the study of emergent development practices based on the agile -such as Scrum (Sutherland, 2010) and XP (Beck, 1999)- and lightweight -such as the ISO/IEC 29110 standard series (ISO/IEC, 2011)- software development paradigms that provides a valuable alternative to the plan-driven paradigm (Boehm & Turner, 2003; Martinez-Plumed et al., 2019) for developing Big Data Analytics systems used in small and medium-sized business (SMBs).

    RATIONALITY
    Big Data Analytics (BDA) systems are software systems developed to provide valuable insights to decision-makers exploiting Big Data sources (Laney, 2001; Davoudian & Liu, 2020). Successful BDA systems have been reported in the literature (Davenport, 2006) in diverse domains such as Healthcare, Logistics, Finance, Marketing, Retail, and Education in the last decade.

    However, it was recently identified that the systematic development of BDA systems is not usually pursued by organizations, and despite the adaptation of a few comprehensive development methodologies for Data Analytics systems (Martinez et al; 2021) such as CRISP-DM, SEMMA, and KDD, many failed BDA system development projects are frequent (Davenport & Malone, 2021). Consequently, systematic development methodologies for BDA systems have been demanded (Davenport & Bean, 2022).

    Given that agile and lightweight development practices use small development teams – between 3 to 10 people-, and mainly address projects of short-term scope – between 1 to 6 months-, and thus of small costs, these plausible practices are highly suitable to be used for small and medium-sized business (SMBs), and ultimately to take advantage of their available Big Data sources for SMBs contexts (Maroufkhani et al., 2020).

    TOPICS
    This special session invites researchers from the disciplines of Data Science and Software Engineering to submit high-quality conceptual or empirical research manuscripts on agile and lightweight development practices for BDA systems suitable to be used in SMBs. Topics of interest for the special issue include but are not limited to the following ones:

    Conceptual studies on frameworks of agile and lightweight tenets and practices for BDA systems.
    Conceptual comparative studies between plan-driven development methodologies and agile and lightweight practices for BDA systems.
    Statistical survey comparative studies on the implementation of plan-driven development methodologies and agile and lightweight practices for BDA systems.
    Statistical survey studies on successful implementation models of agile and lightweight practices for BDA systems.
    Case studies on successful and failed BDA systems using agile and lightweight practices for BDA systems.
    Simulation studies – system dynamics, discrete event, agent-based or hybrid- on project development models of agile and lightweight practices for BDA systems.
    Design research studies on project development models of agile and lightweight practices for BDA systems.
    Experimental studies on project development models of agile and lightweight practices for BDA systems.
    Conceptual studies on open source platforms and tools for developing BDA systems with agile and lightweight practices.

    All previous topics are expected to be studied in the context of SMBs.

    REFERENCES
    Beck, K. (1999). Embracing change with extreme programming. Computer, 32(10), 70-77.
    Boehm, B., & Turner, R. (2003). Using risk to balance agile and plan-driven methods. Computer, 36(6), 57-66.
    Davenport, T. H. (2006). Competing on analytics. Harvard Business Review, 84(1), 98-107.
    Davenport, T., & Malone, K. (2021). Deployment as a Critical Business Data Science Discipline. Harvard Data Science Review. https://doi.org/10.1162/99608f92.90814c32 <https://doi.org/10.1162/99608f92.90814c32>
    Davenport, T. & Bean, R. (2022). The Quest to Achieve Data-Driven Leadership: A Progress Report on the State of Corporate Data Initiatives – Foreword. Special Report, New Advantage Partners.
    Davoudian, A., & Liu, M. (2020). Big data systems: A software engineering perspective. ACM Computing Surveys (CSUR), 53(5), 1-39.
    ISO/IEC (2011). ISO/IEC TR 29110-5-1-2:2011 Software Engineering - Lifecycle Profiles for Very Small Entities (VSES) - Part 5-1-2: Management and Engineering Guide: Generic Profile Group: Basic Profile. ISO - International Organization for Standardization.
    Laney, D. (2001). 3-D Data Management: Controlling Data Volume, Velocity and Variety. META Group Research File 94m9.
    Maroufkhani, P., Ismail, W. K. W., & Ghobakhloo, M. (2020). Big data analytics adoption model for small and medium enterprises. Journal of Science and Technology Policy Management, 11(4), 483-513.
    Martínez-Plumed, F., Contreras-Ochando, L., Ferri, C., Orallo, J. H., Kull, M., Lachiche, N., ... & Flach, P. A. (2019). CRISP-DM twenty years later: From data mining processes to data science trajectories. IEEE Transactions on Knowledge and Data Engineering, 33(8), 3048-3061.
    Martinez, I., Viles, E., & Olaizola, I. G. (2021). Data science methodologies: Current challenges and future approaches. Big Data Research, 24, 100183.
    Sutherland, J. (2010). Jeff Sutherland's Scrum Handbook. Boston: Scrum Training Institute.

    IMPORTANT DATES
    Paper submission due: Midnight EST, March 31, 2022 (Extended Hard Deadline)
    Notification of acceptance: April 20, 2022
    Early registration deadline: May 10, 2022
    Camera-ready copy: May 10, 2022

    INFORMATION FOR AUTHORS
    All submissions must not be published or under consideration for publication in a journal or in a conference with proceedings. Papers will be evaluated based on originality, significance, technical soundness and clarify of exposition. Depending upon the results of evaluation a paper may be accepted as regular paper (6 pages) or short paper (4 pages) in this special session. Papers must be written in English. An electronic version (Postscript, pdf, or MS Word format) of the full paper should be submitted using the following URL: https://www.easychair.org/conferences/?conf=seke22 <https://www.easychair.org/conferences/?conf=seke22>. Please use Internet Explorer as the browser. Manuscript must include a 200-word abstract and to have and extension either 4 or 6 pages of double column formatted Manuscript for Conference Proceedings (include figures and references but exclude copyright form). All papers submitted to this special session must be named with the prefix ADPBD_. Detailed instructions for manuscript preparation can be consulted at: http://ksiresearch.org/seke/seke22author.html <http://ksiresearch.org/seke/seke22author.html>

    REGISTRATION INFORMATION FOR ACCEPTED PAPERS:
    Registration fee per accepted paper is 505 USD
    Please consult SEKE22 Conference Registration left tab at http://ksiresearch.org/seke/seke22.html <http://ksiresearch.org/seke/seke22.html>

    PROCEEDINGS AND JOURNAL PUBLICATIONS:
    Accepted papers will be published in the SEKE22 Proceedings (online and printed versions). SEKE22 Proceedings are indexed at:
    DBLP <http://www.informatik.uni-trier.de/~ley/db/conf/seke/index.html>
    SCOPUS <http://www.scopus.com/search/form/authorFreeLookup.url>
    INSPEC <http://www.theiet.org/publishing/inspec/about/>
    Compendex <http://www.library.pitt.edu/articles/database_info/ei_comp.html>
    Library of Congress <http://www.loc.gov/index.html>

    ISSN for SEKE series: 2325-9000 (print)
    ISSN for SEKE series: 2325-9086 (online)

    Best ranked papers from the full SEKE22 conference will be selected for a super-sized special issue of the International Journal of Software Engineering and Knowledge Engineering (IJSEKE, JCR with IF 1.47) to be published in November/December 2022 for early dissemination.

    CO-CHAIRS
    Prof. Manuel Mora, Autonomous University of Aguascalientes, Mexico
    Prof. Jorge Marx Gómez, University of Oldenburg, Germany
    Prof. Hector Duran-Limon, University of Guadalajara, Mexico

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