Cfp October 2023

cfp@alice.wu.ac.at

1 participants
14 discussions

Fwd: [AISWorld] CfP: 21st IEEE International Conference on Software Architecture (ICSA 2024)
by Gustaf Neumann 27 Oct '23

27 Oct '23

-------- Forwarded Message -------- Subject: [AISWorld] CfP: 21st IEEE International Conference on Software Architecture (ICSA 2024) Date: Thu, 26 Oct 2023 12:27:52 +0000 From: Matteo Camilli <matteo.camilli(a)polimi.it> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> [apologies for multiple copies] 21st IEEE International Conference on Software Architecture (ICSA 2024) https://conf.researchr.org/track/icsa-2024/icsa-2024-papers # AIMS AND SCOPE ---------------- The IEEE International Conference on Software Architecture (ICSA) is the premier gathering of practitioners and researchers interested in software architecture, component-based software engineering, and quality aspects of complex software systems. The 21st IEEE International Conference on Software Architecture (ICSA 2024) continues the tradition of a working conference, where practitioners and researchers meet and where software architects can explain the challenges they face and try to influence the future of the field. Interactive working sessions will be the place where researchers meet practitioners to identify opportunities to create the future. Recent advances in capabilities and availability of generative artificial intelligence (AI) now allow users to generate text, source code, graphics, videos, and 3D models based on natural language descriptions. Software architects are already starting to use these tools to rationalize design decisions, to explore technology options, to synthesize source code based on patterns, and to generate architecture diagrams. The theme of ICSA 2024 is thus “Software Architecture in the Age of Generative AI”. The conference welcomes contributions exploring the potentials and risks of this new technology for software architecture. We are particularly interested in soliciting papers describing novel tools, techniques, and methods to support software architects using generative AI. We are also looking for software and system architecture case studies that successfully or unsuccessfully applied this new technology. Besides the main theme, we call on both researchers and practitioners for contributions that advance our understanding of architectures in real-world software, facilitate empirical research by making architectural artifacts and tools publicly available, and promote replicability of results through common datasets and benchmarks. We welcome original papers that explore and explain the role of architecture in current systems and future systems. This conference looks at what can be learned from our software architecture history, experience, studies, and best practices. # IMPORTANT DATES ----------------- Abstracts due: November 24th, 2023, AoE (Anywhere on Earth) Full papers due: December 1st, 2023, AoE (Anywhere on Earth) Notification of acceptance: February 4th, 2024 Camera-ready due: February 18th, 2024 # TOPICS -------- Topics of interest for the conference include (but are not limited to) the following: - Requirements & Architecture - Stakeholder management and collaborating with other domains - Stakeholder management and collaborating with other domains - Linking architecture to requirements and/or implementation - Methods to address the intertwining of specification and design - Sustainability, ethics, business, financial, and managerial aspects of software architecture - Architecture Design - Model-driven architecture - Component-based software engineering - Architecture frameworks and architecture description languages - Reusable architectural solutions & architecture knowledge management - Cloud-native Computing & Architecture - Microservices & containerization - Serverless platforms & novel forms of virtualization (WASM, MicroVMs, etc.) - Event-driven architectures - Observability & Distributed Tracing - Architecture Evaluation - Evaluating quality aspects (e.g., security, performance, reliability, evolvability) - AI/ML techniques for architecture - Architecture conformance checking - Lightweight evaluation methods - Architecture & Life-cycle - Automatic extraction and generation of software architecture descriptions - Architecture & continuous integration/delivery, and DevOps - Refactoring and evolving architecture design decisions and solutions - Agile architecting, continuous architecting, and other approaches to architecting - Architecture & Architects - Roles and responsibilities for software architects - Training, soft skills, coaching, mentoring, education, and certification - Architecture for equality, diversity and inclusion - State-of-the-art and state-of-practice in software architecture - Architecture for specific types of systems, such as: Edge / Fog / Internet of Things (IoT) systems / IoB systems - AI / ML systems & systems using blockchains - Cyber-physical systems - Self-adaptive & autonomous systems - Architecture & Generative AI: - Design assistance & identification of architectural patterns - Decision making support, comparing technologies, evaluating trade-offs - Generating source code to facilitate implementing architecture designs - Reviewing designs, identifying inconsistencies, and suggesting improvements # OPEN SSCIENCE PRINCIPLES -------------------------- The ICSA conference encourages authors of research papers to follow the principles of transparency, reproducibility, and replicability. In particular, the conference supports the adoption of open data and open source principles and encourages authors to disclose data in order to increase reproducibility and replicability. For more background information, please refer to the Artefact Evaluation Track (AET). Authors have an additional choice to make, in that they can either: opt to make data and/or code available; in this case, if accepted, their paper will be automatically submitted to AET for check of criteria, and whether badges can be assigned to the paper; or opt not to make their research artifacts and datasets accessible to the program committee; in that case, authors are asked to comment in their submitted paper on why this is not possible, practical, or desirable. This statement should be included at the end of the introduction section and may be deleted in the final version of the paper if accepted. Possible reasons may involve privacy restrictions and/or non-disclosure agreements. Sharing of research artifacts is desired but not mandatory for submission or acceptance. The program committee members, however, may use this information to inform their decision. # SUBMISSION ------------ We solicit the submission of technical research papers that describe original and significant results of theoretical, empirical, conceptual, or experimental work in software architecture. The submissions will be evaluated based on novelty, soundness, significance/relevance, open science principles (as outlined above), and presentation quality, in that order. All submissions must conform to the IEEE paper formatting and submission instructions and must not exceed 10 pages for the main text, inclusive of all figures, tables, appendices, etc. Two additional pages containing only references are permitted. The submissions must conform to the author instructions as well as to the IEEE Guidelines for Artificial Intelligence (AI)-Generated Text https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/pu… Please note that ICSA 2024 will pursue a double-blind review process for technical research papers only, therefore all technical research paper submissions have to fulfill the double-blind reviewing requirements. Submissions that disregard these review requirements will be desk-rejected without review. For artifacts that will be published following the open science principles (see above), we ask that authors undertake reasonable, possibly non-exhaustive steps to not disclose their identity, e.g., by anonymizing author names, handles, affiliations, and URLs. Leakage of information in additional artifacts will not lead to desk rejection. Reviewers will be asked to treat artifacts and papers as confidential. All papers are to be submitted electronically via the EasyChair submission system by the submission deadline, and must not have been published before or be submitted for review elsewhere while under consideration at ICSA. All submissions will be checked with an anti-plagiarism tool. https://easychair.org/my/conference?conf=icsa2024 # PUBLICATION ------------- All accepted technical research papers will be published in the ICSA 2024 main proceedings, and appear in IEEE Xplore Digital Library. The authors of submissions that are rejected as technical research papers – but for which reviews show a strong potential for positively influencing the state of the art or state of practice in software architecture, or strong potential to stimulate discussion – will be invited to submit a short paper (up to 8 pages including references) or a poster (poster presented at the conference + an optional two-page summary) describing their research. Short papers and two-page summaries will be published in the ICSA 2024 companion proceedings. Note that at least one author of an accepted contribution is required to register and present the work at the conference. An in-person presentation is required. # PC CHAIRS ----------- Romina Spalazzese, Malmö University, Sweden Heiko Koziolek, ABB Research, Germany # TRACKS -------- This CFP refers to the Research Track of ICSA. For the remaining tracks, please check the specific calls on the website: - Journal First: https://conf.researchr.org/track/icsa-2024/icsa-2024-journal-first - Software Architecture in Practice: https://conf.researchr.org/track/icsa-2024/icsa-2024-software-architecture-… - Early Career Track: https://conf.researchr.org/track/icsa-2024/icsa-2024-early-career-track - New and Emerging Ideas: https://conf.researchr.org/track/icsa-2024/icsa-2024-new-and-emerging-ideas - Postrers: https://conf.researchr.org/track/icsa-2024/icsa-2024-poster-track - Tools and Artifacts: https://conf.researchr.org/track/icsa-2024/icsa-2024-tools-and-artifacts - Workshops: https://conf.researchr.org/track/icsa-2024/icsa-2024-workshops - Tutorials: https://conf.researchr.org/track/icsa-2024/icsa-2024-tutorials-tech-briefin…

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Fwd: [WI] Call for an IJOC Special Issue on Responsible AI and Data Science for Social Good
by Gustaf Neumann 20 Oct '23

20 Oct '23

-------- Forwarded Message -------- Subject: [WI] Call for an IJOC Special Issue on Responsible AI and Data Science for Social Good Date: Fri, 20 Oct 2023 19:29:36 +0200 From: Martin Bichler <bichler(a)in.tum.de> Reply-To: Martin Bichler <bichler(a)in.tum.de> Organization: Technical University of Munich To: wi(a)lists.kit.edu Special Issue of/INFORMS Journal on Computing/ Responsible AI and Data Science for Social Good <https://pubsonline.informs.org/page/ijoc/calls-for-papers> Artificial intelligence (AI)-based solutions have the potential to address many of the world’s most challenging technological and societal problems (De Cremer, 2020). The responsible development, use, and governance of AI have become an increasingly important topic in AI research and practice in recent years. As AI systems are becoming more integrated into our daily lives and decision-making processes, it is essential to ensure that they operate responsibly and ethically (Burkhardt et al., 2020; Dignum, 2023). To address social problems with an emphasis on human values and ethics, AI and data science solutions should be built based on five major principles; unbiased results, transparency, accountability, social benefit, and privacy (De Cremer, 2020; Zhang & Xu, 2023). By incorporating these principles into the AI algorithm development process, we can design a responsible AI that is fair and accountable, and that benefits all users without causing harm or bias. A responsible algorithm should also ensure that the AI models are transparent and explainable so that users can understand how the algorithm works and how it makes decisions and it should serve as a tool for positive change in society (Wearn et al., 2019). Moreover, it is important to continually monitor and update the AI algorithm to ensure its ongoing responsible use (Leslie, 2020). Responsible AI is of utmost importance in the age of OpenAI, GPT & ChatGPT language models, and other AI-based technologies because they can greatly impact human lives and society. AI algorithms like ChatGPT, GPT, and BARD are designed to learn from large amounts of data and make decisions based on patterns and correlations found in that data (Calum Chace, 2023). While this can lead to significant advancements in areas such as healthcare, transportation, and finance, it can also result in unintended consequences if not developed responsibly. In the case of ChatGPT, responsible AI means ensuring that the language model is not used to spread false information, perpetuate harmful stereotypes, or engage in unethical behavior. It also means being transparent about how the model works, how it was trained, and what data it uses (Bickford and Roselund, 2023). In recent years, we have seen strong interest from AI and machine learning communities on the “responsible AI and data science” theme. It is a relatively new research field. Advances in OR, data science, ML, and AI can present many opportunities for building better predictive models and solutions to address some of the biggest UN’s sustainable development challenges in areas such as poverty, hunger, justice, health, education, infrastructure, and environment (Peng et al., 2022; Samorani et al., 2022). Combining responsible AI algorithms with empirical, computational, or experimental data validation represents an exciting new area of research that has tremendous potential to deliver positive economic and social impacts and to build a responsible and sustainable future (Aprahamian et al., 2020; De Angelis et al., 2022: Kelley et al., 2022; Mak 2022). This special issue aims to attract manuscripts that are closely connected to solving the UN’s sustainable development challenges and have the potential to impact society from the lens of responsible AI and data science. All submissions should design and develop new ML algorithms, cutting-edge software engineering & data science methods, computation tools & techniques, AI models, and real-world case studies that can help operationalize responsible AI and data science to solve challenging societal problems. We invite submissions from researchers, practitioners, and experts in the field of AI and machine learning who are engaged in the responsible development of AI algorithms. Potential topics of interest for this special issue include, but are not limited to: * Algorithmic bias and fairness in search and recommendation * Requirement engineering, software architecture, and design of responsible AI and data science systems * Software verification and validation for responsible AI and data science systems * MLOps, DevOps, and AIOps for responsible AI and data science systems * Ethical considerations in AI algorithm development * Fairness, accountability, and transparency in AI algorithms * Bias mitigation and fairness-aware machine learning * Explainable AI and interpretable machine learning * Robust and resilient AI algorithms against adversarial attacks * Human-centric AI and user-centric algorithm design * Social and cultural implications of AI algorithm development * Legal, ethical, and regulatory frameworks for responsible AI development * Ethics, standards, and regulations of Responsible AI * Responsible AI and data science for protecting privacy and preserving confidentiality in machine learning * Development processes and governance for responsible AI and data science systems * Developing the responsible AI system (unimodal, and multimodal) for detecting fake news and disinformation * Detection and explanation of anomalies and model misspecification * Innovative applications and case studies on the responsible use of AI, data science, collective intelligence, and preference-based reinforcement learning methods to address the UN’s sustainable development social issues like democracy, digital health, education, food, poverty, healthcare, injustice, price discrimination & consumer protection, and inequalities in society Submissions should have a solid scientific & technical foundation and should use publicly available data or computational experiments to develop the algorithms and test theories. Moreover, authors will be encouraged to make their AI applications available for public use. In case of any questions, please contact the guest editorial team of this special issue by e-mail: *Martin Bichler, **Dursun Delen, **Kaushik Dutta, Zhiling Guo, **Ajay Kumar *Honorary Senior Scholar advisors and editors to the special issue: *Paul Brooks, R**am Ramesh* *Submission Guidelines* o To be considered for this special issue, an extended abstract must be submitted via the/INFORMS Journal on Computing/ScholarOne Manuscripts submission system from*/November 15 – December 31, 2023/*(please see "Online Submission" below for details). The abstract must be 6 pages maximum, single-spaced (12-point font), and will include an overview of the problem, clear identification of the research gap, datasets, model/algorithm development, preliminary findings, and anticipated contribution(s). References are not included in the 6-page limit. We will be evaluating the abstract on fit and potential, not completed analyses. Selected extended abstract submissions will be invited to submit a full paper (see projected timeline below). o Selected extended abstract submissions will be invited for a virtual paper development workshop related to a special issue in February 2024 (the exact date will be announced later). This virtual workshop will allow authors to further develop their manuscripts (early stage, work in progress) based on feedback from the special issue editors and other workshop participants. The acceptance to the virtual paper development workshop will be sent to invited participants by January 20, 2024. Participation in the workshop is a mandatory requirement for submission to this special issue. o After the virtual workshop, all invited manuscripts should be submitted through the INFORMS Journal on Computing online submission system from*/March 1, 2024 – May 30, 2024/*. Submissions should follow the manuscript format guidelines for the/INFORMS Journal on Computing/. o The editors of the special issue are planning to attend the INFORMS Workshop on Data Science (14th October 2023) at INFORMS Annual meeting which will be held in Phoenix, United States in October 2023, INFORMS Workshop on Decision Analytics and Data Mining at INFORMS Annual meeting (15th October 2023), and the 33rd Workshop on Information Technologies and Systems (WITS 2023) which will be held in Hyderabad (India) in December 2023. Authors of invited papers can also take this opportunity to engage in an in-depth discussion with the Editors and ask for guidance in developing their manuscripts for final submission to the special issue. o Please note that the/INFORMS Journal on Computing/has adata policy <https://pubsonline.informs.org/page/ijoc/datapolicy>and asoftware policy <https://pubsonline.informs.org/page/ijoc/softwarepolicy>. *Online Submission:* o Extended Abstracts and Papers must be submitted online to ScholarOne Manuscripts athttps://mc.manuscriptcentral.com/ijoc <https://mc.manuscriptcentral.com/ijoc>.Under “Step 1: Type, Title, & Abstract”:select “Special Issue” for “Type,”select “Special Issue” from the dropdown list under “Select topic area of submission,” and answer “Responsible AI and Data Science for Social Good” for “If this paper is for a special issue, which one is it for?” *Dates:* * First round submissions due date: May 30, 2024 * First round decisions provided by: July 30, 2024 * Second round submissions due date: September 30, 2024 * Second round decisions provided by: November 30, 2024 * Final decisions on papers provided by: January 15, 2025 * Special issue publication TBD in early 2025 -- Prof. Dr. Martin Bichler https://www.cs.cit.tum.de/en/dss/ -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [wkwi] CFP i-com Special Issue on "CSCW - Past, Present and Future"
by Gustaf Neumann 19 Oct '23

19 Oct '23

-------- Forwarded Message -------- Subject: [wkwi] CFP i-com Special Issue on "CSCW - Past, Present and Future" Date: Thu, 19 Oct 2023 05:34:14 +0000 From: Koch, Michael <michael.koch(a)unibw.de> Reply-To: Koch, Michael <michael.koch(a)unibw.de> To: fb-mci(a)lists.gi.de <fb-mci(a)lists.gi.de>, fg-cscw(a)lists.gi.de <fg-cscw(a)lists.gi.de>, wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de>, eusset(a)listserv.dfn.de <eusset(a)listserv.dfn.de>, CHI-ANNOUNCEMENTS(a)listserv.acm.org <CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG> Call for Submissions to i-com journal - Special Issue on “CSCW – Past, Present and Future” +++ Submission Deadline: December 15th 2023 +++ https://i-com-journal.org/calls/special-issue-on-cscw/ Computer Supported Cooperative Work (CSCW) is an interdisciplinary research area from computer science, sociology, psychology, anthropology, business informatics, economics, media studies and various other disciplines that deals with (supporting) collaboration. CSCW research is united in a commitment to ground design efforts in studies of actual work practices. When looking back at the pandemic years we can observe that CSCW is one of the exciting research fields that made a transition into a virtual and later also hybrid communication, interaction and collaboration possible. The way we work, the way we meet friends, the way we participate in society are increasingly entangled with digitalization and concepts core to the CSCW research community. New topics currently are (supporting) hybrid cooperation but also providing CSCW concepts and tools to new collaboration scenarios and in general to social life. Since most applications today are not only single-user but involve communication and collaboration among people, CSCW is relevant in most new hype themes – very prominently in the Metaverse, but also in topics like “AI powered” conversational agents. In this special issue, we invite contributions that investigate the current state of CSCW – and particularly novel and innovative uses of CSCW applications in various areas pertaining to peoples’ social lives. While we are open to a broad range of approaches, we particularly encourage studies employing a socio-technical perspective. As such, we are interested in use practices, (new) use contexts and design of CSCW technologies. Contributions can provide a look into the past, the present and the future: Past – origins and evolution of CSCW…. papers discussing the developmental milestones, significant changes, prominent theories, and methodologies that have defined this field. Present – current state of CSCW. Submissions should ideally encompass recent advancements, current trends, challenges, and the real-world application of CSCW in various sectors such as education, business, healthcare, and more. Future – Visionary papers that explore future trajectories, disruptive innovations, policy considerations, or potential societal impacts of CSCW – e.g. Howcreative and innovative uses of CSCW technologies can help to transfer and recreate social and cultural endavours in virtual environments. Possible topics include but are not limited to the application, implications, potentials, and challenges of CSCW technologies in the following areas: - (Better) Supporting Hybrid Work - Engaging in cultural or artistic activities (e.g. making music together online) and participating in cultural offerings and events (e.g. virtual museum visits or streaming concerts) - Engaging in sports (e.g. cyber training) or participating in sports events (e.g. digital fandom) - Engaging in informal interactions in the context of work (e.g. virtual coffee breaks) - Engaging in informal interaction in the context of education (e.g. networking events) - Coordination in non-profit associations - Digitalization of everyday live / Digitalization that connects us - Digital Technologies for social interaction - … We welcome a broad range of different types of contributions, e.g., qualitative and quantitative empirical research, conceptual research, design research. Guest Editors: Susanne Boll, Universität Oldenburg, OFFIS Institut für Informatik e.V. Alexander Richter, Victoria University of Wellington, NZ Michael Prilla, Universität Duisburg-Essen About i-com: (Also see https://i-com-journal.org/) i-com is an international scientific journal that is devoted to different topics around Human-Computer Interaction (HCI). The journal seeks to build bridges between research and practice as well as between teaching and business, emphasizing interdisciplinary teamwork and application-oriented solutions. We particularly aim at publishing cross-disciplinary research showing the practical application of the research. The first volume of i-com has been published in 2001. Since Volume 23 (2023) the journal is Golden Open Access. Selected Metrics: - Scopus Cite Score (2022): 2.8 - Scopus Source Normalized Impact per Paper (SNIP) (2021): 0.563

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Fwd: [WI] CAiSE 2024 :: Call for Papers
by Gustaf Neumann 19 Oct '23

19 Oct '23

-------- Forwarded Message -------- Subject: [WI] CAiSE 2024 :: Call for Papers Date: Wed, 18 Oct 2023 18:43:23 +0000 From: Bork, Dominik <dominik.bork(a)tuwien.ac.at> Reply-To: Bork, Dominik <dominik.bork(a)tuwien.ac.at> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> CAiSE 2024 Main Conference: Call for Papers The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: ● Best Paper Award‚ prize EUR 1000 (sponsored by Springer) ● A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. ● PhD-Thesis Award ● Best PhD thesis of a past CAISE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: ● Novel Approaches to IS Engineering o Artificial Intelligence and Machine Learning o Robotic Process Automation (RPA) o Big Data, Data Science and Analytics o Blockchain applications in IS o Simulation and Digital Twins  o IS for collaboration and social computing  o Virtual reality / Augmented Reality o Context-aware, autonomous and adaptive IS ● Models, Methods and Techniques in IS Engineering o Ontologies and Ontology Engineering o Conceptual modeling, languages and design o Requirements engineering o Process modeling, analysis and improvement o Process automation, mining and monitoring o Models and methods for evolution and reuse o Domain and method engineering o Product lines, variability and configuration management o Compliance and alignment handling o Active and interactive models o Quality of IS models for analysis and design o Visualization techniques in IS o Decision models and business intelligence o Knowledge graphs o Human-centered techniques ● Architectures and Platforms for IS Engineering o Distributed, mobile and open architecture o Big Data architectures o Cloud- and edge-based IS engineering o Service oriented and multi-agent IS engineering o Multi-platform IS engineering o Cyber-physical systems and Internet of Things (IoT) o Workflow and Process Aware Information Systems (PAIS) o Handling of real time data streams o Content management and semantic Web o Crowdsourcing platforms o Conversational agents (chatbots) o Microservices design and deployment ● Domain-specific and Multi-aspect IS Engineering o IT governance o eGovernment o Autonomous and smart systems (smart city management, smart vehicles, etc.) o IS for healthcare o Educational Systems and Learning Analytics o Value and supply chain management o Industry 4.0 o Sustainability and social responsibility management o Privacy, security, trust, and safety management o IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 Key Dates Abstract Submission: 24th November 2023 Paper Submission: 1st December 2023 Notification of Acceptance: 23th February 2024 Camera-ready Papers: 5th April 2024 Author registration deadline: 5th April 2024 -- Ass. Prof. Dr. Dominik Bork Assistant Professor for Business Systems Engineering Business Informatics Group (BIG) Institute of Information Systems Engineering TU Wien Favoritenstr. 9-11 / 194-3 Web: https://model-engineering.info/ <https://model-engineering.info/> Recent Research Highlights: * Quo Vadis Modeling? <https://link.springer.com/content/pdf/10.1007/s10270-023-01128-y.pdf?pdf=bu…>https://link.springer.com/article/10.1007/s10270-023-01128-y <https://link.springer.com/article/10.1007/s10270-023-01128-y> * Systematic Mapping Study on Conceptual Modeling and AI https://doi.org/10.48550/arXiv.2303.06758 <https://doi.org/10.48550/arXiv.2303.06758>* UML and ER Modeling in VS Code https://marketplace.visualstudio.com/publishers/BIGModelingTools <https://marketplace.visualstudio.com/publishers/BIGModelingTools> -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [wkwi] CfP - ECIS 2024: Track "Green Information Systems and Sustainable Development"
by Gustaf Neumann 09 Oct '23

09 Oct '23

-------- Forwarded Message -------- Subject: [wkwi] CfP - ECIS 2024: Track "Green Information Systems and Sustainable Development" Date: Mon, 9 Oct 2023 12:44:54 +0000 From: Körner, Marc-Fabian, Dr. <marc.koerner(a)fim-rc.de> Reply-To: Körner, Marc-Fabian, Dr. <marc.koerner(a)fim-rc.de> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> CC: Jiyong Park <Jiyong.Park(a)uga.edu>, Fridgen, Gilbert, Prof. Dr. <gilbert.fridgen(a)uni.lu> Dear Colleagues, We would like to invite you to submit your latest research on the design and implementation of information systems for a sustainable future to our on *Green Information Systems and Sustainable Development* (Track 17) at the 32nd European Conference on Information Systems (*ECIS 2024*), *13-19 June 2024, Paphos, Cyprus*. *Track Description* Designing and implementing approaches for a more sustainable future and mitigating the impacts of global climate change by accelerating decarbonization is a societal and moral imperative of our time (Fuldauer et al. 2022). To strengthen the three pillars of sustainability and to speed up the corresponding sustainability transition, various scholarly fields have acknowledged the obligation to understand and to design solutions for sustainability-related problems (Gholami et al. 2016; Soergel et al. 2021; Seidler et al. 2017). Gholami et al. (2016) highlighted that the solution could not be generated by one discipline. Rather, tackling Grand Global Challenges requires collaborative multi‐disciplinary efforts to which the information systems (IS) profession can contribute critical knowledge and expertise in various ways (Elliot 2011; Melville 2010; Seidel et al. 2017; Watson et al. 2010). Thus, feasibility and clear intention galvanized IS scholars to adopt sustainability as an important topic in their research. As IS researchers, it is on us to understand, explain, and shape the positive and negative consequences that flow from the (currently limping) transition toward a more sustainable future. But merely recognizing our obligation is not sufficient – we must embark on analysing the potential costs, duties, and obligations of decisions that particularly relate to the development, implementation, and use of Green Information Systems (Green IS). Green IS is pivotal for strategic sustainable solutions. It addresses issues associated with IS use by individuals, groups, organizations, and society to support environmentally sustainable practices and processes to emerge and diffuse (Watson et al. 2010). Green IS pinpoints that IS can play a pivotal role in enabling more sustainable solutions and encapsulates the responsibility of IS researchers and practitioners toward environmentally, economically, and socially sustainable development. In particular, we seek for contributions that shed light on the role of individuals in the ongoing sustainable transition. This conference track is tightly bound to the AIS Special Interest Group on Green Information Systems (SIGGreen). SIGGreen recognizes that the IS discipline can have a central role in creating an ecologically sustainable society. The scope of SIGGreen is to discuss, develop ideas, and promote the role of IS in the global green agenda for mitigating climate change and fostering decarbonization through research, education, and community engagement. It spans the dual responsibilities of the IS profession to both reduce its impact on the environment and use its particular expertise to enable others to do so. Hence, this track is meant to provide a platform for those in our discipline concerned with how information systems can help reduce human impact on the natural environment. We welcome the entire spectrum of information systems research and invite innovative, rigorous, relevant, and exciting research on Green IS and sustainability. We also appreciate interdisciplinary work as long as a substantive engagement with the information system discourse is maintained. *Topics of Interest* Potential topics include, but are not limited to: - Design of information systems to address ecological, social, and/or ethical challenges - The role of IS for promoting the pivotal role of individuals in a sustainable future - The role of IS in the current energy transition - IS-based approaches to foster decarbonization - IS to support sustainable, innovative, and smart mobility solutions - IS to support sustainable consumer decisions - IS to support smart and sustainable cities and districts - Transformations toward sustainable business models (e.g., circular economy) - Applications of emerging IS innovations (e.g., AI, blockchain) to sustainability realms - Decision support for environmentally sustainable development - IS for social good - Green IS development - The role of IS in energy sectors (electricity, heat, mobility, …) - Meeting and collaborating virtually: reducing the need to travel - The affordances of existing and emerging (green) information systems for enacting sustainable development ** *Important Dates* Submission Deadline: *November 17, 2023* Notification to authors*: February 28, 2024* Submission of revised papers: *March 31, 2024* ** *Track Chairs* Marc-Fabian Körner, University of Bayreuth, Germany Gilbert Fridgen, University of Luxembourg, Luxembourg Jiyong Park, University of Georgia, USA For*further information *please visit*https://ecis2024.eu/track-descriptions/ *(Track 17: Green Information Systems and Sustainable Development).** ** Best regards Gilbert, Jiyong, and Marc (Apologies if multiple copies of this call are received.)

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Fwd: [wkwi] New Track on Digitized Learning and Teaching at ECIS24
by Gustaf Neumann 08 Oct '23

08 Oct '23

-------- Forwarded Message -------- Subject: [wkwi] New Track on Digitized Learning and Teaching at ECIS24 Date: Thu, 5 Oct 2023 19:07:30 +0000 From: Rietsche Roman <roman.rietsche(a)bfh.ch> Reply-To: Rietsche Roman <roman.rietsche(a)bfh.ch> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> CC: Günther, W.A. (Wendy) <w.a.gunther(a)vu.nl>, Wambsganss Thiemo <thiemo.wambsganss(a)bfh.ch> Dear Colleagues, We would like to invite you to submit your latest research on Educational Information Systems, Large Language Models in Education, or Pedagogical Chatbot to our new ECIS24 Track on Digitized Learning and Teaching. We are looking for qualitative, quantitative, or design science contributions focusing on technology-mediated innovations in teaching and learning. Feel free to contact us for any questions on fit or regarding our track ( and sorry for any cross-postings 😉). *Track Summary:* The Digitized Learning and Teaching track at ECIS 2024 aims to explore the convergence of emerging technologies and educational paradigms. From generative AI and the metaverse to innovative pedagogical methods, we're at the cutting edge of defining what education can be in the digital age. *Exemplary Topics:* * Pedagogical innovations for digital education * Large language models in Education * Conversational agents for Learning * AI-based learning analytics * The role of blockchain in education * Ethical implications of AI in education * IS education in emerging domains like FinTech, e-Government, healthcare * Strategies for equitable digitized learning * Ethical and social implications of generative AI * Life-long learning and continuous education for IS professionals * Data-driven educational model building and evaluation More Details: https://ecis2024.eu/track-descriptions/ <https://ecis2024.eu/track-descriptions/>scroll to Track 13 | Digitized Learning and Teaching *Deadline: *_17 November 2023_ *Where: *The 32nd European Conference on Information Systems (ECIS), 13-19 June 2024, in Paphos, Cyprus We are looking forward to meeting you at ECIS 2024! Prof. Dr. Wendy Günther, Vrije Universiteit Amsterdam, Netherlands Prof. Dr. Thiemo Wambsganss, Bern University of Applied Sciences, Bern, Switzerland Prof. Dr. Roman Rietsche, Bern University of Applied Sciences, Bern, Switzerland

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Fwd: [WI] DeepLearn 2024: early registration October 23
by Gustaf Neumann 07 Oct '23

07 Oct '23

-------- Forwarded Message -------- Subject: [WI] DeepLearn 2024: early registration October 23 Date: Sat, 7 Oct 2023 10:44:13 +0200 (CEST) From: David Silva - IRDTA <david(a)irdta.eu> Reply-To: David Silva - IRDTA <david(a)irdta.eu> ****************************************************** 11th INTERNATIONAL SCHOOL ON DEEP LEARNING (and the Future of Artificial Intelligence) DeepLearn 2024 Porto – Maia, Portugal July 15-19, 2024 https://deeplearn.irdta.eu/2024/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice – IRDTA Brussels/London ****************************************************** Early registration: October 23, 2023 ****************************************************** SCOPE: DeepLearn 2024 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Las Palmas de Gran Canaria, Luleå, Bournemouth, Bari and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, and important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2024 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2024 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Castêlo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. This year’s edition of the school will schedule hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: (to be completed) Jiawei Han (University of Illinois Urbana Champaign), How Can Large Language Models Contribute to Effective Text Mining? PROFESSORS AND COURSES: (to be completed) Luca Benini (Swiss Federal Institute of Technology Zurich), [intermediate/advanced] Open Hardware Platforms for Edge Machine Learning Gustau Camps-Valls (University of València), [intermediate] AI for Earth, Climate, and Sustainability Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Introduction to Representation Learning on Graphs Peng Cui (Tsinghua University), [intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Hayit Greenspan (Icahn School of Medicine, Mount Sinai / Tel Aviv University), tba Yulan He (King’s College London), [intermediate/advanced] Machine Reading Comprehension with Large Language Models George Karypis (University of Minnesota), [intermediate] Deep Learning Models and Systems for Real-World Graph Machine Learning Hermann Ney (RWTH Aachen University / AppTek), [intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective Massimiliano Pontil (Italian Institute of Technology), tba Elisa Ricci (University of Trento), tba Laurens van der Maaten (Meta AI), [introductory/intermediate] Introduction to Computer Vision Danxia Xu (National Research Council of Canada) [introductory] Photonic Chips and Artificial Intelligence: An Interplay OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by July 7, 2024. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 7, 2024. HACKATHON ACTIVITIES: A section of the event will consist of hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. EMPLOYERS: Organizations searching for personnel well skilled in deep learning will be provided a space for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 7, 2024. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2024/sponsoring/ ORGANIZING COMMITTEE: José Paulo Marques dos Santos (Maia, local chair) Carlos Martín-Vide (Tarragona, program chair) Sara Morales (Brussels) José Luís Reis (Maia) Luís Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2024/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available at https://deeplearn.irdta.eu/2024/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Brussels/London -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [wkwi] CfP pre-ICIS workshop: "Intelligent Agents and their Interplay within Service Ecosystems"
by Gustaf Neumann 06 Oct '23

06 Oct '23

-------- Forwarded Message -------- Subject: [wkwi] CfP pre-ICIS workshop: "Intelligent Agents and their Interplay within Service Ecosystems" Date: Fri, 6 Oct 2023 08:41:21 +0000 From: Peters, Christoph <christoph.peters(a)unisg.ch> Reply-To: Peters, Christoph <christoph.peters(a)unisg.ch> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> ---Bitte entschuldigen Sie eventuelle Mehrfachzustellungen--- Liebe Kolleginnen und Kollegen, sehr geehrte Damen und Herren Wir möchten Sie gerne auf den Call for Participation für unseren pre-ICIS Workshop "Intelligent Agents and their Interplay within Service Ecosystems" in Hyderabad aufmerksam machen. Über entsprechende Weiterleitung in Ihren Netzwerken und Teams sowie natürlich über spannende Impulse und Diskussionen in Hyderabad freuen wir uns. -- Intelligent Agents and their Interplay within Service Ecosystems Workshop Organizers Christoph Peters, University Of Kassel, Germany & University of St. Gallen, Switzerland; christoph.peters(a)unisg.ch <mailto:christoph.peters@unisg.ch> Christian Bartelheimer, Paderborn University, Germany; Christian.bartelheimer(a)uni-paderborn.de <mailto:Christian.bartelheimer@uni-paderborn.de> Daniel Heinz,Karlsruhe Institute of Technology, Germany;daniel.heinz(a)kit.edu Theme of the Workshop With the proliferation of artificial intelligence (AI) technologies, and especially Generative AI, incorporating hybrid intelligence into value co-creation processes is becoming widespread in various application domains. Employing intelligent agents in service ecosystems is assumed to result in superior outcomes, benefiting all involved actors. At the same time, however, these systems become much more complex. In this workshop, we want to explore the prospects and constraints of integrating intelligent agents of any type in service ecosystems. Inspired by this year’s conference theme, this workshop intends to question how we, as Information Systems (IS) researchers, can design, implement, manage, and maintain AI-based service ecosystems that benefit diverse human needs. In doing so, we aim to bring IS researchers from diverse backgrounds together to discuss intelligent agents from multiple perspectives. Purpose of the Workshop// This workshop intends to facilitate the discourse amongst IS researchers interested in service science. We invite those interested in discussing how service research can conceptualize and investigate diverse facets of where and how intelligent agents can be successfully integrated in service ecosystems. We want to exchange different perspectives and ideas on this year’s workshop topic on the interplay of intelligent agents within service ecosystems. Based on participants’ various inputs, we aim to develop a framework about how service researchers in IS can contribute to advancing our knowledge on this topic and discuss and plan the next steps on how we can proceed in future work, for example, by publishing a panel report. Format of the Workshop: Integrating loosely-coupled strands of research The workshop will be conducted on Sunday, December 10^th , as a half-day event, including two major sessions. We will start with a welcome coffee and networking before the SIG Services leadership team opens the workshop session. In the first session of the workshop, we will have thought-provoking impulses on intelligent agents in service ecosystems, from distinguished scholars as well as from practitioners who share insights about their view on the prospects and constraints on leveraging AI agents in different domains and scenarios. The coffee break also serves as a starting point for an interactive pitch and poster session that will enable us to discuss current hot topics on AI agents in depth before we conclude the workshop with a brief wrap-up and the annual SIG Services assembly (including elections and awards). Time Event Sun, Dec 11^th 14:00 – 14:15 Welcome and networking 14:15 – 15:45 Thought-provoking impulses on intelligent agents in service ecosystems 15:45 – 16:00 Coffee break 16:00 – 16:45 Interactive pitch and poster session 16:45 – 17:00 Wrap-up & Annual SIG Services assembly *Target Audience*** The primary target audience includes the current members of the AIS SIG Services and all other IS researchers and practitioners interested in the conceptualization, design, and analysis of artificial agents in service ecosystems. In particular, we encourage those scholars who want to be involved in integrating the currently siloed view on the role of artificial agents in digital services and service ecosystems. The participation of the ‘next generation of service researchers’ and those who can bring in specific cultural or methodological viewpoints as well as personal experience is highly appreciated. *Important dates / Submissions of research input pitches* Accepted papers (in form of extended abstracts) will be presented as posters in the second session of the workshop. Please hand in your extended abstracts (max. 5 pages) via email to the workshop organizers until November 10^th , 2023. To be accepted, papers must outline how their ideas relate to the role of intelligent agents in digital services or service ecosystems and should also present clearly how the paper contributes to theory and practice. The timeline for submissions is as follows: * 2023-11-10: Submission deadline for posters * 2023-11-17: Acceptance decisions and author notification * 2023-12-10: Workshop day Please note that we plan to organize and invite all workshop participants to our traditional pre-workshop dinner on Saturday night, December 9^th , in Hyderabad. You might want to plan your ICIS trip accordingly. Best regards, also on behalf of my co-organizers, Christoph (Peters) -- *PD Dr. Christoph Peters* Universität Kassel | University of Kassel Vertretungsprofessor | Deputy Professor Professur für Wirtschaftsinformatik und Systementwicklung | Professorship Information Systems and Systems Engineering Wissenschaftliches Zentrum für IT-Gestaltung (ITeG) I Research Center for IS Design (ITeG) http://www.inf.wirtschaft.uni-kassel.de <http://www.inf.wirtschaft.uni-kassel.de/>| http://www.iteg.uni-kassel.de <http://www.iteg.uni-kassel.de/> Pfannkuchstr.1 | 34121 Kassel | Germany tel: +49-561-804 6155 | fax: +49-561-804 6067 christoph.peters(a)uni-kassel.de <mailto:christoph.peters@uni-kassel.de> ------------------- *+* ** *Prof. Dr. Christoph Peters*** Assistenzprofessor | Assistant Professor Institute of Information Management | University of St.Gallen Universität St.Gallen (HSG) | Müller-Friedberg-Str. 8 | CH-9000 St.Gallen Tel. +41 71 224 37 17 | Fax. +41 71 224 27 77_ _christoph.peters(a)unisg.ch <mailto:christoph.peters@unisg.ch> | www.iwi.unisg.ch <http://www.iwi.unisg.ch/>

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Fwd: [AISWorld] AVI 2024 1st Call for Workshop and Tutorial Proposals
by Gustaf Neumann 04 Oct '23

04 Oct '23

-------- Forwarded Message -------- Subject: [AISWorld] AVI 2024 1st Call for Workshop and Tutorial Proposals Date: Tue, 3 Oct 2023 10:09:11 +0000 From: BIANCARDI Beatrice <bbiancardi(a)cesi.fr> AVI 2024 1st Call for Workshop and Tutorial Proposals International Conference on Advanced Visual Interfaces ================================================= 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it<https://avi2024.dibris.unige.it/> ================================================= IMPORTANT DATES Workshop and tutorial proposals: · Friday, December 1, 2023 (23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 --------------------------------------------------------------------------- WORKSHOP PROPOSALS We invite proposals for workshops to be held on June 3-4, 2024, in conjunction with the International Conference on Advanced Visual Interfaces (AVI 2024). We invite proposals for workshops in all the areas related to Advanced Visual Interfaces and Human-Computer Interaction. Workshop proposals must be submitted following the instructions on: https://avi2024.dibris.unige.it/calls TUTORIAL PROPOSALS We encourage the proposal of tutorials on new and emerging topics or, conversely, consolidated topics related to Advanced Visual Interfaces and HCI approaches, methodologies, or technologies. The selected tutorials will be held on the last day of the conference and Doctoral Consortium students will be invited to participate in them. Tutorial proposals must be submitted following the instructions on: https://avi2024.dibris.unige.it/calls Workshop & Tutorial Chairs · Ignacio Aedo, Universidad Carlos III de Madrid · Rosella Gennari, Free University of Bozen-Bolzano --------------------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. While rooted in Italy, AVI is an actual international conference concerning the nationality of participants, authors of papers, and program committee members. The mixture of carefully selected research contributions paired with cordial Italian hospitality creates a unique conference atmosphere, which has made AVI an internationally recognized brand. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy. We look forward to your participation in AVI 2024! Cristina Conati, AVI 2024 General Chair Gulatiero Volpe, AVI 2024 General Chair Ilaria Torre, AVI 2024 Program Chair --------------------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Visual Interfaces Computer Supported Cooperative Work Conversational Interfaces Full-body Interaction Human-AI Interaction Information Visualization Intelligent Interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for i-TV Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces for Children Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices User Interfaces for the Internet of Things Usability and Accessibility Usability and (Cyber)Security Virtual and Augmented Reality Visual Analytics --------------------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Paternò, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Université Côte d'Azur, France --------------------------------------------------------------------------- [cid:image001.png@01D9F5F2.6A73E050] Beatrice BIANCARDI Enseignante-Chercheure LINEACT CESI bbiancardi(a)cesi.fr<mailto:bbiancardi@cesi.fr> https://sites.google.com/view/beatricebiancardi/home Tel : +33 (0)6 71 62 50 45 93 boulevard de La Seine CS 40177 - 92006 Nanterre cedex [cid:image002.png@01D9F5F2.6A73E050]<https://www.facebook.com/CESIingenieurs> [cid:image003.png@01D9F5F2.6A73E050]<https://twitter.com/cesi_officiel> [cid:image004.png@01D9F5F2.6A73E050]<https://www.youtube.com/user/groupecesi1/> [cid:image005.png@01D9F5F2.6A73E050]<https://www.linkedin.com/school/cesi-officiel/> [cid:image006.png@01D9F5F2.6A73E050]<https://www.instagram.com/cesi_officiel/> cesi.fr<https://www.cesi.fr/>

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Fwd: [AISWorld] Two Tenure Track Positions - AI and Cybersecurity
by Gustaf Neumann 03 Oct '23

03 Oct '23

-------- Forwarded Message -------- Subject: [AISWorld] Two Tenure Track Positions - AI and Cybersecurity Date: Tue, 3 Oct 2023 16:08:14 +0000 From: Andrew Schwarz <aschwarz(a)lsu.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The Stephenson Department of Entrepreneurship and Information Systems at Louisiana State University (LSU) is seeking two Assistant Professors to join us as we enhance our AI/analytics and cybersecurity research and teaching at LSU. Recently, LSU identified both AI and cybersecurity as priority areas for research and teaching across our institution. This environment provides excellent opportunities for interdisciplinary collaboration and funding opportunities. In our department, we have opportunities to engage with students at every academic level with undergraduate concentrations in cyber and analytics, an MS in analytics, a graduate certificate in cyber risk management, and a PhD program. To apply for the cybersecurity position, follow this link: https://lsu.wd1.myworkdayjobs.com/LSU/job/LSU---Baton-Rouge/Assistant-Profe… To apply for the AI/analytics position, follow this link: https://lsu.wd1.myworkdayjobs.com/LSU/job/2215-BEC-South-Grad-Pavilion/Assi… Job Listing Information Job Summary: Assistant Professor in the Stephenson Department of Entrepreneurship and Information Systems (SDEIS) to play a leading role in the growth and development of the department and, specifically, to enhance our expertise in cybersecurity and AI/analytics the cyber defense area of the LSU research pentagon. The position will require the Assistant Professor to teach in the graduate and undergraduate levels of the department and to also conduct research that will enhance not only their record of excellence but also that of the department. Job Responsibilities: 50% - Teach undergraduate and graduate courses in the Stephenson Department of Entrepreneurship & Information Systems. 50% - Conduct significant research in the fields related to Information Systems. Service to the department and the college. Minimum Qualifications: PhD in Information Systems or related field. ABD candidates will be considered. Degree must be conferred by time of appointment. Preferred Qualifications: Demonstrated record of excellence in research and teaching or demonstrated potential for excellence. Special Instructions: Please provide cover letter, CV, available teaching evaluations, and three professional references including name, title, phone number, and email address. A copy of your transcript may be attached to your application (if available). However, original transcripts are required prior to hire. For questions or concerns regarding the status of your application or salary ranges, please contact Dr. Ed Watson, ewatson(a)lsu.edu<mailto:ewatson@lsu.edu>. LSU is an Equal Opportunity Employer: LSU believes diversity, equity, and inclusion enrich the educational experience of our students, faculty, and staff, and are necessary to prepare all people to thrive personally and professionally in a global society. We celebrate diversity and are committed to the principles of diversity and inclusion. We actively seek and encourage qualified applications from persons with diverse backgrounds, cultures and experiences. To learn more about how LSU is committed to diversity and inclusivity, please see LSU's Diversity Statement and Roadmap. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact the Office of Human Resource Management (hr(a)lsu.edu<mailto:hr@lsu.edu>). HCM Contact Information: For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR(a)lsu.edu<mailto:HR@lsu.edu>. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting. Andrew Schwarz, PhD Professor Stephenson Department of Entrepreneurship & Information Systems Louisiana State University 2217 BEC, Baton Rouge, LA 70803 aschwarz(a)lsu.edu | lsu.edu | https://lsu.edu/business/sdeis/ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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