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Fwd: [WI] WI 2024 - 19. Internationale Tagung Wirtschaftsinformatik 2024: Call for Workshops & Tutorials
by Gustaf Neumann 06 Nov '23

06 Nov '23

-------- Forwarded Message -------- Subject: [WI] WI 2024 - 19. Internationale Tagung Wirtschaftsinformatik 2024: Call for Workshops & Tutorials Date: Mon, 6 Nov 2023 15:24:59 +0000 From: Gunther Gust <gunther.gust(a)uni-wuerzburg.de> Reply-To: Gunther Gust <gunther.gust(a)uni-wuerzburg.de> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de>, WI(a)lists.kit.edu <WI(a)lists.kit.edu> Liebe Community, im Rahmen der 19. Internationalen Tagung Wirtschaftsinformatik (https://wi2024.de/) an der Universität Würzburg besteht die Möglichkeit, *Workshops, Tutorials oder Community-Treffen* durchzuführen. Der letzte Tag der Konferenz (19.09.2024) ist als Community-Tag geplant und eignet sich daher besonders für die Durchführung dieser Veranstaltungen. Alternativ können wir eine Anzahl an Treffen aber auch am Vortag der Konferenz (16.09.2024) ermöglichen. Entsprechende Vorschläge senden Sie bitte bis zum *30.11.2023* mit folgenden Angaben an Prof. Dr. Gunther Gust (gunther.gust(a)uni-wuerzburg.de): • Art des Events (Workshop, Tutorial oder Community-Treffen) • Arbeitstitel des Events • Kurze Beschreibung des Events für die Webseite (ca. 300-600 Wörter) • Vorgesehene Zielgruppe (z.B. Wissenschaft, Unternehmen, Studierende) • Verantwortliche Organisatoren mit Namen, Affiliation und Fotos, die wir auf der Webseite verwenden dürfen • Ggfs. durchführende Organisation (z.B. GI-Fachgruppe oder WKWI) · Präferiertes Datum (19. oder 16.9.24) • Angabe, ob Sie Workshop-Beiträge bzw. die Teilnahme über das Konferenz-Submission-System abgebildet haben möchten oder dies selbstständig verwalten möchten • Angabe, ob Sie die Veröffentlichung von Workshops-Beiträgen im Rahmen der WI23 Workshop Proceedings anstreben (Workshop-Beiträge werden nicht im Rahmen der regulären Conference Proceedings veröffentlicht) Für freuen uns auf Ihre Einreichungen und unterstützen Sie gern! Mit freundlichen Grüßen Gunther Gust und Christoph Flath (Programmkomitee) WI 2024 Universität Würzburg https://wi2024.de/ Christoph Flath, Gunther Gust, Frédéric Thiesse, Axel Winkelmann (Conference Chairs) ----------------------------------------------------------------------------------- *ENGLISH VERSION:* ** *WI 2024 - 19th International Conference on Wirtschaftsinformatik 2024: Call for Workshops & Tutorials* As part of the International Conference on Wirtschaftsinformatik at Julius-Maximilians University of Würzburg (https://wi2024.de/), we invite *proposals for workshops, tutorials, or community events*. Please note that we plan to allocate the last day of the conference (19.09.2024) as a networking day, making this Thursday the best date to host your event. Alternatively, you can propose your event for the day before the conference (16.09.2024) with limited capacities available. Please send your proposals for workshops or tutorials to Prof. Dr. Gunther Gust (gunther.gust(a)uni-wuerzburg.de) by *30.11.2023*, including the following information: • Type of the event (workshop, tutorial, or community event) • Title of the event • Short description (please submit a summary of 300-600 words that we can use to promote your event on the conference’s website) • Intended target group (e.g., scientists, companies, students, or all of the above) • Organizing chair(s) with names, affiliations, and photos, to be published online • If applicable, please refer to the community hosting the workshop (e.g., GI expert group or WKWI) • Desired date for hosting the workshop (best is 19.09.2024, alternatively 16.09.2024) • Please let us know if we can help you with managing the submissions and registration in the conference management system or if you want to organize the event on your own • Please let us know if you plan to publish any workshops papers as part of the WI24 Workshop Proceedings, which will not be part of the regular conference proceedings We look forward to your ideas and happily support you with hosting your event! Best regards Gunther Gust und Christoph Flath (Program Chairs) WI 2024 Universität Würzburg https://wi2024.de/ Christoph Flath, Gunther Gust, Frédéric Thiesse, Axel Winkelmann (Conference Chairs) Prof. Dr. Gunther Gust Lehrstuhl für Prozess- und IT-Integration für KI im Unternehmen Center for Artificial Intelligence and Data Science (CAIDAS) & Wirtschaftswissenschaftliche Fakultät Julius-Maximilians-Universität Würzburg Room 116 (EG), Sanderring 2, D-97070 Würzburg T +49 931 31-83159 (Sekretariat) E gunther.gust(a)uni-wuerzburg.de <mailto:gunther.gust@uni-wuerzburg.de> H https://www.wiwi.uni-wuerzburg.de/wiki <https://www.wiwi.uni-wuerzburg.de/wiki> Hhttps://www.uni-wuerzburg.de/caidas <https://www.uni-wuerzburg.de/caidas> -- 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: [WI] DESRIST 2024 - Call for Papers
by Gustaf Neumann 06 Nov '23

06 Nov '23

-------- Forwarded Message -------- Subject: [WI] DESRIST 2024 - Call for Papers Date: Mon, 6 Nov 2023 08:48:26 +0000 From: Söllner, Matthias, Uni.-Prof. Dr. <soellner(a)uni-kassel.de> Reply-To: Söllner, Matthias, Uni.-Prof. Dr. <soellner(a)uni-kassel.de> To: Söllner, Matthias, Uni.-Prof. Dr. <soellner(a)uni-kassel.de> Liebe Kolleginnen und Kollegen, gemeinsam mit Munir Mandviwalla und Tuure Tuunanen bin ich als Program Chair der DESRIST 2024 aktiv und wir würden uns sehr freuen, wenn wir auch dieses Jahr wieder zahlreiche spannende Beiträge aus der deutschsprachigen Community erhalten würden. Weiterhin merken wir, dass es zunehmend auch jenseits der Wirtschaftsinformatik Forschende gibt, die DSR anwenden, bspw. im Entrepreneurship. Falls Sie also Kolleginnen oder Kollegen kennen, für die der Call interessant sein könnte, dann würden wir uns über eine Weiterleitung freuen. Beste Grüße aus Kassel Matthias Söllner Uni.-Prof. Dr. Matthias Söllner (er/sein | he/him) Uni_WISE Universitätsprofessor | Full Professor and Chair Universität Kassel | University of Kassel Wissenschaftliches Zentrum für IT-Gestaltung (ITeG) | Research Center for IS Design Fachgebiet Wirtschaftsinformatik und Systementwicklung (WISE) | Information Systems and Systems Engineering Pfannkuchstraße 1, D-34121 Kassel Tel. +49 561 804 3450 | Fax. +49 561 804 3621 soellner(a)uni-kassel.de <mailto:soellner@uni-kassel.de>| www.uni-kassel.de/go/wise <http://www.uni-kassel.de/go/wise> Call for Papers – DESRIST 2024 Trollhättan, Sweden 3 June 2024 – 5 June 2024 DESRIST 2024 WEBSITEhttps://www.hv.se/om-oss/event-och-konferenser/desrist-2024/ https://www.hv.se/om-oss/event-och-konferenser/desrist-2024/> <https://www.hv.se/om-oss/event-och-konferenser/desrist-2024/>> Contact: DESRIST2024(a)hv.se <mailto:DESRIST2024@hv.se> mailto:DESRIST2024@hv.se <mailto:DESRIST2024@hv.se>mailto:DESRIST2024@hv.se <mailto:DESRIST2024@hv.se <mailto:DESRIST2024@hv.se%20%3cmailto:DESRIST2024@hv.se>> Conference Theme – Design Science Research for a Resilient World The world of humans has undergone rapid developments of technological innovation during the recent few decades. Consensus exists around the very fact that our modern ways of living and interacting with humans, organizations, and society, is heavily influenced by the implications of digital technologies. At the same time, the challenges of coping with the increasing effect of digital technologies creates incentive for academics in the Information Systems (IS) field to develop knowledge and skills that make humans, organizations, and society resilient towards emerging relationships with future digital technologies. The theme of the 19th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2024) therefore challenges the Design Science Research (DSR) community to think about how to do design science research for a resilient future. Venue DESRIST 2023 will be located at University West in Trollhättan, Sweden. The venue is located on the university’s campus. The facility forms part of the city Trollhättan that makes fundamentally new approaches to research and innovation possible that span across disciplinary fields and focuses on a practice-oriented research approach that nurtures the value of technology, innovation, humanities, work-integrated learning, and sustainability. Key Dates · Deadline for full paper and research-in-progress: 22 January 2024 (11.59 p.m. CET) · Paper reviews due: 26 February 2024 · Research Summary Submission for Doctoral Consortium: 1 March 2024 · Notification of paper acceptances: 14 March 2024 · Notification of doctoral consortium acceptances: 15 March 2024 · Deadline for Prototype, Panel, and Workshop submissions: 21 March 2024 · Camera-ready paper submissions: 26 March 2024 · Notification of Prototype, Panel, and Workshop acceptances: 17 April 2024 · Conference dates: 3 June to 5 June 2024 Submission Types We look forward to receiving your full papers, RIP papers, prototype submissions, and panel/workshop proposals. Proposals for half-day workshops are encouraged. We also invite doctoral student researchers who are interested to attend the doctoral consortium to submit a summary of their research. Our doctoral consortium brings together early-stage and experienced design science researchers and provides a platform for constructive exchange. You will appreciate the transformational mentorship experience as well as the exciting networking opportunities. Editorial Process All paper submissions will go through a double-blind review process conducted by an international review panel. Your paper will be assessed anonymously by at least two reviewers and managed by the track chairs and program committee. Your prototype submissions will be handled by the prototype chairs. Your panel and workshop proposals will be reviewed by the respective chairs and the program committee. Conference Proceedings The accepted full research papers will be included in a volume of Springer Lecture Notes in Computer Science (LNCS) as DESRIST 2024 Proceedings. All other types of submissions will be published in some form on the DESRIST 2024 Website. Conference Tracks The 19th Annual DESRIST conference will bring together researchers and practitioners engaged in all aspects of design science research (DSR). We invite submissions on specific solutions such as products and prototypes. We invite research papers, demos, and panel proposals that describe work in different areas of design science research, including, but not limited to the following: * Domain-specific applications of DSR (e.g., Marketing, Manufacturing, Supply Chain, Finance, Healthcare, Education, Tourism) * Technology-specific applications of DSR (e.g., AI, Fintech, Analytics, Blockchain, Platforms, IOT, algorithms, cyber-security) * DSR impacts (e.g., evaluation, UN sustainability goals, ethics, society, privacy, well-being) * Theoretical and Methodological Contributions to DSR * Methods and Tools (e.g., transparent AI, architecture, cloud-native databases, data meshes, user experiences, co-design) * Innovation and entrepreneurship (e.g., ecosystems, new ventures, patents) Theme track: DSR for a Resilient World Co-Chairs: Abayomi Baiyere, Daniel Beverungen, Netta Iivari The notion of being ‘resilient’ is defined differently depending on the research context. For instance, in the context of building an information system, Pulley & Wakefield (2001) define resilience as: “… resilience provides the ability to recover quickly from change, hardship or misfortune. It is associated with elasticity, buoyancy, and adaptation. Resilient people demonstrate flexibility, durability, and attitude of optimism, and openness to learning. A lack of resilience is signaled by burnout, fatigue, malaise, depression, defensiveness, and cynicism”. As such, for this conference, we position the notion of a resilient future as a future where humans might have to develop flexible abilities for adapting, recovering, and sensing change in emerging relationships with technological innovation. One thought that arises as we move into the future is: how can the development of knowledge and innovative digital technology help us to develop abilities and skills for a resilient future? An attempt to address the question is by turning to an ideal approach and paradigm within the field of Information Systems (IS) that, traditionally speaking, have a rigorous and relevant view on how to tackle wicked problems on all levels of analysis. This ideal approach is Design Science Research (DSR), which aims to bridge the development of technologies that are useful for humans, organizations, and society, with the development of research knowledge that contributes to a scientific discourse of methodological and conceptual/theoretical foundations for doing IS-research. The more sufficiently IS researchers can contribute with viable solutions and scientific knowledge through a DSR approach that persistently pushes the boundaries of innovation and research, the better will we be able to implement means possible to achieve goals that are useful and sustainable for a resilient future. General Track Co-Chairs: Monica Chiarini Tremblay, Matthew Mullarkey, Stefan Morana The general track will focus on all relevant topics including DSR for organizational and societal problems, especially solutions for complex and wicked problems. We welcome empirical, conceptual, and design contributions. DSR Methods and Education Co-Chairs: Alexander Mädche, Samuli Pekkola, Andreas Janson The DSR Methods and Education track will focus on rigorous and relevant methods to produce DSR and best practices in teaching and learning. Submissions on what and how to teach DSR and methodological innovations such as philosophy, processes, tools, and techniques to produce impactful DSR are encouraged. Furthermore, we welcome papers that seek to apply or extend DSR methods beyond the scope of the Information Systems discipline, e.g., in Entrepreneurship or other fields. We seek conceptual and empirical studies that advance understanding and improve DSR methods and education, including studies that apply DSR in an educational context. DSR in Practice Co-Chairs: Jan vom Brocke, Ali Sunyaev, Jan Marco Leimeister The DSR in practice track focuses on applications of DSR in organizations and society. We are interested in DSR research that demonstrates high practical relevance and impact. The tie to practice can be reflected in the process as well as the outcomes and application of DSR. We invite case studies that highlight the practical use of DSR-generated applications, field studies by DSR researchers, how to evolve DSR into practice, and the role of academic and industry structures in influencing practice (e.g., living labs, accelerators, etc.). Emerging Topics in DSR Co-Chairs: Brian Donnellan, Juho Lindman, Sarah Hönigsberg The emerging topics track is open to new ideas for expanding DSR. For example, new domains for DSR inquiry (e.g., transdisciplinary perspectives, tourism, education), new technologies (e.g., AI, data mesh), and new ways of thinking about the role of DSR and its impact on organizations and society. -- 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: [AISWorld] CFP: Special Issue on Large Language Models, ACM Transactions on Management Information Systems
by Gustaf Neumann 03 Nov '23

03 Nov '23

-------- Forwarded Message -------- Subject: [AISWorld] CFP: Special Issue on Large Language Models, ACM Transactions on Management Information Systems Date: Fri, 3 Nov 2023 09:01:50 +0800 From: Michael Chau <mchau(a)business.hku.hk> To: aisworld(a)lists.aisnet.org Dear Colleagues, ACM Transactions on Management Information Systems (TMIS) is delighted to announce a new special issue on Impacts of Large Language Models on Business and Management: https://dl.acm.org/pb-assets/static_journal_pages/tmis/calls_for_papers/ACM- TMIS-CFP-LLMs-2023.pdf . *Submission Deadline*: December 31, 2023 *Guest Editors:* - Michael Chau, The University of Hong Kong, mchau(a)business.hku.hk - Jennifer J. Xu, Bentley University, jxu(a)bentley.edu Large language models (LLMs)—deep neural networks pre-trained using a vast amount of unlabeled text data—have advanced substantially in the past few years. These LLMs, such as BERT (Bidirectional Encoder Representations from Transformers) (Devlin et al. 2018) and GPT (Generative Pretrained Transformers) (Radford et al. 2018), often contain millions or billions of parameters and have achieved outstanding performance in a wide variety of natural language processing (NLP) tasks, including document classification, speech recognition, machine translation, and named entity recognition. In particular, recent launches of general conversation-based LLMs, such as OpenAI’s ChatGPT, Google’s Bard, BigScience’s BLOOM, and Baidu’s ErnieBot, have taken the world by storm, gaining massive attention from not only academics and practitioners but also the general public due to their remarkable capabilities of understanding natural languages and producing high-quality responses for tasks that go beyond traditional NLP tasks. Many believe that LLMs are one of the greatest milestones of artificial intelligence (AI) and have the potential to become a big game changer to unleash tremendous technological, economic, and societal revolutions. Many enterprises and organizations are already preparing for the radical changes that may be brought by applications and adoptions of LLMs, such as automation of routine or mundane tasks and significant reduction in workforce. For example, LLMs may be integrated into customer relationship management applications to automatically handle queries, requests, and complaints while providing a seamless conversational user experience. By adopting and applying LLMs in a timely, strategic manner, enterprises and organizations can enhance decision making, improve productivity, and reduce costs. Individuals can also benefit from applications of LLMs. For instance, given proper prompts and instructions, ChatGPT can offer advice on the stock market, help people write emails, plan vacations, solve problems, and even code or debug software programs (Thorp 2023). As LLMs are being adopted rapidly worldwide, they will also bring broader impacts on society. A plethora of research opportunities are emerging for scholars in various disciplines including information systems (IS). IS researchers can study and make contributions to the literature on many interesting research questions, such as the design of systems based on LLMs to solve business problems, the behavioral and technical aspects of human-AI interaction, and the ethical and safety issues in using LLMs. As many thought leaders and scholars have pointed out, LLMs could be a double-edged sword, bringing both opportunities and challenges to many areas and domains, ranging from business, finance, healthcare and medicine, education to law and policy (Kasneci et al. 2023; Shen et al. 2023). Therefore, investigations of possible negative effects of LLMs, such as the hallucination problem in which an LLM provides false or inaccurate information (Azamfirei et al. 2023), can also shed lights on the limitations of current LLMs and the design of future AI, which should be helpful, honest, and harmless (Bai et al. 2022). *Topics* The aim of this special issue is to curate a set of high-quality papers that focus on the design and application of LLMs in business and management as well as ethical and social issues involved. The special issue is open to researchers using diverse research methods, including quantitative, qualitative, algorithmic, analytical modeling, predictive modeling, and design science. It is also open to research conducted at an individual, group, organizational, and societal level. Topics of interest include but are not limited to the following: · Design and evaluation of LLM applications in business and management · The use of LLMs in system analysis, design, and development · The impact of LLMs on consumer perception and behavior · LLM-enabled decision making · Measuring the business value of LLMs · Using LLMs for sentiment analysis in business and finance · Applications of LLMs in process automation · Safe use of LLMs · The dark side of LLMs and the ethical issues related to the use ofLLMs · Interactions between humans and LLMs · Human-in-the-loop in the design and application of LLMs · Evaluation of emerging LLM designs such as sparse expert models and in-context learning *Important Dates* · Open for Submissions: September 1, 2023 · Submissions deadline: December 31, 2023 · First-round review decisions: February 28, 2024 · Deadline for revision submissions: May 15, 2024 · Notification of final decisions: September 30, 2024 · Tentative publication: March 2025 *Submission Information* All submissions will follow ACM TMIS guidelines ( https://dl.acm.org/journal/tmis/author-guidelines) and submitted through the TMIS portal (https://mc.manuscriptcentral.com/tmis), selecting the paper type for submission called “Special Issue on Impacts of Large Language Models on Business and Management.” For questions and further information, please contact guest editors at: · Michael Chau, mchau(a)business.hku.hk · Jennifer J. Xu, jxu(a)bentley.edu *References* Azamfirei, R., Kudchadkar, S.R., and Fackler, J. 2023. "Large language models and the perils of their hallucinations," Critical Care (27) 120. Bai, Y., Jones, A., Ndousse, K., et al. 2022."Training a helpful and harmless assistant with reinforcement learning from human feedback," arXiv:2204.05862. Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. 2018."BERT: Pre-training of deep bidirectional transformers for language understanding," arXiv:1810.04805. Kasneci, E., Sessler, K., Küchemann, S., et al. 2023. "ChatGPT for good? On opportunities and challenges of large language models for education," Learning and Individual Differences (103) 102274. Radford, A., Narasimhan, K., Salimans, T., and Sutskever, I. 2018."Improving language understanding by generative pre-training," from https://cdn.openai.com/research-covers/language-unsupervised/language_unders tanding_paper.pdf. Shen, Y., Heacock, L., Elias, J., et al. 2023. "ChatGPT and other large language models are double-edged swords," Radiology (307:2) e230163. Thorp, H.H. 2023. "ChatGPT is fun, but not an author," Science (379), pp. 313-313. -- Michael Chau Professor in Innovation and Information Management HKU Business School The University of Hong Kong http://www.business.hku.hk/~mchau/ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call For Papers: 36th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2024)
by Gustaf Neumann 02 Nov '23

02 Nov '23

-------- Forwarded Message -------- Subject: [AISWorld] Call For Papers: 36th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2024) Date: Thu, 2 Nov 2023 09:46:56 -0400 From: Bastian Tenbergen <bastian.tenbergen(a)oswego.edu> To: aisworld(a)lists.aisnet.org *** CALL FOR PAPERS *** CSEE&T 2024 IEEE International Conference on Software Engineering Education & Training July 29 - August 1, 2024 Würzburg, Germany https://conf.researchr.org/home/cseet-2024 https://www.easychair.org/conferences/?conf=cseet2024 Join the SEE&T community mailing list: https://mailchi.mp/1e17515a5119/cseetconf TWO SUBMISSION ROUNDS! CSEE&T 2024 seeks original research papers on novel ideas, methods, and techniques for software engineering education, as well as education experience & industrial training reports. Contributions may concern all fields of software engineering education, including university education at the graduate and undergraduate level, industrial training, and teaching software engineering at various secondary schools. We welcome submissions on any aspects of software engineering education and training. For the fist time in CSEE&T hirstory, there will be two submission rounds! One in January/February for Full, Short, and Journal First Papers and one in April for Short Papers. All authors who were not accepted in the first call (but also new authors) are invited to submit their improved contributions in the form of a short paper (up to 5 pages) during the second round. ============================== *INMPORTANT DATES* ============================== First Round Full Research Papers (10 pages), Short Research Papers (5 pages), and Industrial experience reports track (6 pages): Abstract Submission 28 January 2024 Paper Submission 04 February 2024 Notification 22 March 2024 Camera Ready 02 June 2024 Second Round Improved and New Short Papers (5 pages, also for resubmitted full papers) Abstract Submission not required Paper Submission 07 April 2024 Notification 17 May 2024 Camera Ready 02 June 2024 Journal first track (1 page): Abstract Submission not required Paper Submission 04 April 2024 Notification 17 May 2024 Camera Ready 02 June 2024 Poster and tool track (2 pages) Abstract Submission not required Paper Submission 07 April 2024 Notification 17 May 2024 Camera Ready 02 June 2024 Workshop proposals (2 pages): Proposal Submission 04 February 2024 Notification 01 March 2024 ============================== *MISSION* ============================== For more than 30 years, the IEEE International Conference on Software Engineering Education and Training (CSEE&T) has been the premier conference on software engineering (SE) education and training for academics and professionals. The conference is for educators, researchers, and practitioners to share new findings and results in planning and executing software engineering education, including pedagogy, curricula, tool evaluation, best practices, and experience reports. The Special Theme of CSEE&T 2024 will be "The Dawn of AI in Software Engineering Education”. Software engineers are continuously facing challenging technological landscapes, lately through changes in our society with Cyber-Physical Systems (CPS), Artificial Intelligence (AI), Machine Learning (ML), Metaverse, and more. The COVID-19 pandemic has accelerated remote working and online education. New forms of working style and education are enabled and supported by systems and software technologies. Education and training play crucial roles in fostering human resources and creating these technologies. A high-quality environment for knowledge sharing about Software Engineering Education and Training is a necessity for researchers, developers, practitioners, educators, and students, to promote the adaptation, creation, and improvement of systems and software. ============================== *Topics of Interest* ============================== Topics of Interest The list below indicates, but is not limited to, areas of software engineering education in the focus of CSEE&T 2023. Requirements engineering education Teaching artificial intelligence Teaching conceptual modeling Teaching formal methods Teaching skills (communication, teamwork, management, etc.) Teaching "real world" SE practices Software quality assurance education Measuring education and training results Motivating students and trainees Social and cultural issues Novel delivery methods E-Learning, online training, and education Global and distributed SE education Open source in education Cloud computing education Cooperation between Industry and Academia Training models in industry Continuous Integration and continuous delivery education Cyber-physical system or Internet of Things education Methodological aspects of SE education Metaverse in software engineering education Software engineering education @ school Software engineering education for novices Vision for SE education in the future ============================== *Submission and Publication* ============================== CSEE&T 2024 solicits submissions in the following four separate categories. All page numbers are with the IEEE Conference Proceedings Formatting and including references. Research track Full papers (up to 10 pages) present completed and evaluated original research. Short papers (up to 5 pages) describe well-defined research ideas or ongoing work at an early stage of investigation not yet fully developed or evaluated. Industrial experience reports track (up to 6 pages) covers industrial training experience. Journal first track (up to 1 page) presents research on software engineering education, which has recently been published in high-quality journals. Poster and tool track (up to 2 pages) presents work in progress and be based on either research, practice, or experience. Workshop proposals (up to 2 pages) present plans of half-day or full-day highly collaborative workshops. All submissions must be in English, and must come in A4 or US letter paper size PDF format and conform, at the time of submission, to the IEEE Conference Proceedings Formatting Guidelines ( https://www.ieee.org/conferences/publishing/templates.html) Guidelines are available at: https://conf.researchr.org/home/cseet-2024 Papers must be submitted electronically through EasyChair, https://www.easychair.org/conferences/?conf=cseet2024. Submission implies agreeing to CSEE&T marketing emails like this one, unless opt-out. All accepted submissions (except workshop papers) will be submitted to the IEEE-CS Digital Library in the CSEE&T 2024 conference proceeding and are subject to registration and presentation at the conference. If a submission is accepted, at least one author of the paper must register for the conference and present the paper at the conference. If an accepted paper is not presented, the paper is removed from the proceedings. ============================== *Organizing Committee* ============================== General Chair Marian Daun, Technical University of Applies Sciences Würzburg-Schweinfurt, Germany Program Chairs Ivana Bosnić, University of Zagreb, Croatia Andreas Bollin, University of Klagenfurt, Austria Industry Chair Jennifer Brings, Zeiss Optik, Germany Workshop Chair Jil Klünder, Leibniz University, Germany Academiy of Software Engineering Education and Training Chairs Yvonne Sedelmaier, Hochschule Coburg, Germany Nancy Mead - Carnegie Mellon Software Engineering Institute, United States IEEE Coordination Chair W. Eric Wong, University of Texas at Dallas, United States Publicity Chair Bastian Tenbergen, State University of New York at Oswego, United States *Follow us on Social Media* ============================== Twitter: @CSEETconf Facebook: https://www.facebook.com/CSEETconf Web: https://conf.researchr.org/home/cseet-2024 Join the SEE&T community mailing list: https://mailchi.mp/1e17515a5119/cseetconf *________________________________________________* *Bastian Tenbergen*, PhD Associate Professor of Software Engineering Office Hours: https://bit.ly/tenbergen-office-hours-signup Department of Computer Science 427 Shineman Center *State University of New York at Oswego* 7060 State Route 104 Oswego, NY, 13126, USA T +1 (315) 312-6605 E bastian.tenbergen(a)oswego.edu www.tenbergen.org find me on Twitter <https://twitter.com/BTenbergen> | ResearchGate <https://www.researchgate.net/profile/Bastian_Tenbergen> | LinkedIn <https://www.linkedin.com/profile/view?id=24491293> I do my best to answer your emails quickly during normal business hours (M-F, 8am-5pm EST), but perhaps not outside of that time. I encourage you to do the same. Look here! This ending quote is witty Adorns my email so pretty The perfect disguise To prevent you realize That the rest of this message is sh… not as clever. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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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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