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Fwd: [WI] CfP ISWC 2021 - Call for Posters, Demos and Lightning Talks *one week left*
by Gustaf Neumann 28 Jun '21

28 Jun '21

-------- Forwarded Message -------- Subject: [WI] CfP ISWC 2021 - Call for Posters, Demos and Lightning Talks *one week left* Date: Mon, 28 Jun 2021 09:23:02 -0400 From: International Semantic Web Conference <iswc.conf(a)gmail.com> Reply-To: International Semantic Web Conference <iswc.conf(a)gmail.com> To: agents(a)cs.umbc.edu, connectionists(a)mailman.srv.cs.cmu.edu, sem-grd(a)ogf.org, semantic-web(a)w3.org, wi(a)lists.kit.edu, AIAI(a)listserv.heanet.ie, obo-discuss(a)lists.sourceforge.net, public-owled(a)w3.org, public-semweb-lifesci(a)w3.org, SIGIR(a)listserv.acm.org, SIGAI-ANNOUNCE(a)listserv.acm.org, public-lod(a)w3.org, dl(a)dl.kr.org, semantic_web(a)googlegroups.com, owlapi-developer(a)lists.sourceforge.net, aixia(a)aixia.it, wikidata(a)lists.wikimedia.org 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org <https://iswc2021.semanticweb.org> Call for Posters, Demos, and Lightning Talks ******************************************* The ISWC 2021 Posters and Demos Track complements the paper tracks of the conference by offering an opportunity to present late-breaking research results, on-going research or resource projects, and speculative or innovative work in progress. The Lightning Talks track will open a few weeks before ISWC 2021 takes place. We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track, the Resources Track, the In-Use Track, and the Industry Track. We also invite Visionary ideas, Position statements, Negative results, Outrageous ideas, Novel but thoughtful speculation, and Humorous thoughts (or similar). Track details: https://iswc2021.semanticweb.org/posters-demos Track chairs: - Catia Pesquita (Universidade de Lisboa, Portugal) - Oshani Seneviratne (Rensselaer Polytechnic Institute, NY, USA) Contact: iswc2021-poster-demo(a)easychair.org ***** Important Dates ***** - Papers due: 5 July 2021 - Notifications: 28 July 2021 - Camera-ready paper due: 1 September 2021 *** All deadlines are AoE (Anywhere on Earth) *** Submission link for all papers: https://easychair.org/conferences/?conf=iswc2021 Follow ISWC on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf <https://twitter.com/iswc_conf>) - LinkedIn: https://www.linkedin.com/groups/13612370 <https://www.linkedin.com/groups/13612370> - Facebook: https://www.facebook.com/ISWConf <https://www.facebook.com/ISWConf> The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee <https://iswc2021.semanticweb.org/organizing-committee> -- 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] Call for Papers: WI2022 - Prototype Track
by Gustaf Neumann 25 Jun '21

25 Jun '21

-------- Forwarded Message -------- Subject: [WI] Call for Papers: WI2022 - Prototype Track Date: Fri, 25 Jun 2021 10:44:42 +0000 From: Zschech, Patrick <patrick.zschech(a)fau.de> Reply-To: Zschech, Patrick <patrick.zschech(a)fau.de> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu> *Call for Papers für den Prototype Track auf der WI 2022 - 17. Internationale Tagung Wirtschaftsinformatik vom 21. - 23. Februar 2022 an der Friedrich-Alexander-Universität Erlangen-Nürnberg* ** Wir laden Sie herzlich dazu ein, prototypische Implementierungen innovativer IT-Artefakte einzureichen. Der Prototype Track bietet die Möglichkeit, funktionsfähige IT-Artefakte unterschiedlichster Ausprägungsformen während der Konferenz live zu demonstrieren und mit Forschern und Praktikern zu diskutieren. Als Einreichungen akzeptieren wir Kurzbeiträge, die durch ein begleitendes Demonstrationsvideo ergänzt werden. Akzeptierte Beiträge werden in der AIS Electronic Library veröffentlicht und in einer eigenen „Prototype“ Session präsentiert. *Beitragsformate* Der Track bietet die Möglichkeit zur Einreichung zwei unterschiedlicher Beitragsformate: * *Prototype Excellence:*In diesem Format steht die Funktionalität der entwickelten IT-Artefakte im Vordergrund, einschließlich der exzellenten Vorgehensweise bei der Prototypgestaltung und -entwicklung. Die Autoren haben die Möglichkeit, Einblicke in lauffähige Implementierungen aus fortwährenden Forschungsarbeiten zu demonstrieren. Es wird erwartet, dass die Prototypen bereits einer ersten (vorläufigen) Evaluation unterzogen wurden, die jedoch noch nicht vollständig abgeschlossen sein muss. Autoren werden dahingehend ermutigt, erste Evaluationsergebnisse zu berichten und zu diskutieren. * *Prototype Innovation:*Beim zweiten Beitragsformat steht der Innovationsgrad des entwickelten Prototyps im Vordergrund, wobei die wissenschaftliche Stringenz beim Design und der Evaluation in den Hintergrund rückt. Die Autoren haben die Möglichkeit besonders innovative IT-Artefakte zu präsentieren, die sich durch ihre Neuartigkeit, kreative und künstlerische Ausgestaltung sowie potenzielle Wettbewerbsfähigkeit auszeichnen. Eine Evaluation des Prototyps muss in diesem Beitragsformat noch nicht zwingend stattgefunden haben. Stattdessen werden IT-Artefakte in sehr frühen Entwicklungsphasen begrüßt. *Mögliche Themenschwerpunkte* Prototypen können unterschiedlichste Aspekte und Themenfelder der Wirtschafsinformatik adressieren und verschiedensten Anwendungsbereichen zugeordnet sein. Exemplarische, aber nicht ausschließliche Themenschwerpunkt sind zum Beispiel: * Business Analytics, Entscheidungsunterstützung * Künstliche Intelligenz, Maschinelles Lernen * Human Computer Interaction, Chatbots, Assistenzsysteme * Virtual/Augmented/Mixed Reality * Internet of Things, Cyber Physical Systems * Robotic Process Automation * Gamification * Sicherheit und Datenschutz * Healthcare und Wellbeing * Energy Informatics, Green IT * Industrie 4.0/Dienstleistung 4.0/Arbeit 4.0 * Handel, Supply Chain Management, Logistik * Financial Technologies und Blockchain * Bildung, E-Learning ** *Track Chairs* * Patrick Zschech, Friedrich-Alexander-Universität Erlangen Nürnberg * Oliver Müller, Universität Paderborn ** *Associate Editors* * Jürgen Anke (Hochschule für Technik und Wirtschaft Dresden) * Christian Bartelheimer (Universität Paderborn) * Christoph Flath (Julius-Maximilians-Universität Würzburg) * Dominik Gutt (Erasmus University Rotterdam) * Kai Heinrich (Otto-von-Guericke-Universität Magdeburg) * Konstantin Hopf (Universität Bamberg) * Christian Janiesch (Julius-Maximilians-Universität Würzburg) * Niklas Kühl (Karlsruher Institut für Technologie) * Stefan Morana (Universität des Saarlandes) * Dimitri Petrik (Universität Stuttgart) * Jana Rehse (Universität Mannheim) * Stefan Seidel (Universität Liechtenstein) * Jeannette Stark (Technische Universität Dresden) * Susanne Strahringer (Technische Universität Dresden) * Uwe Wieland (Hochschule für Technik und Wirtschaft Dresden) ** *Zeitplan für den Begutachtungsprozess* Die Zeitplanung richtet sich an den Terminen der regulären, wissenschaftlichen Tracks aus: * Letzte Möglichkeit für eine Einreichung (Submission Deadline): 01.09.2021 – 14 Uhr * Fast and Constructive AE Feedback: 10.09.2021 * Abgabe der Reviewer-Gutachten: 10.10.2021 * Abgabe der AE-Gutachten: 20.10.2021 * Entscheidung der Track-Chairs: 27.10.2021 * Information an Autoren: 31.10.2021 * Einreichung der überarbeiteten Beiträge: 15.11.2021 * Finale Entscheidung und Information an Autoren: 21.11.2021 Weiterführende Informationen sowie Details zum Einreichungsverfahren finden Sie unter https://www.wi22.de/tracks/prototypen/ Wir freuen uns auf Ihre #exzellenten und #innovativen Prototypen! ______________________________________ *Prof. Dr. Patrick Zschech* Friedrich-Alexander-Universität Erlangen-Nürnberg Fachbereich Wirtschafts- und Sozialwissenschaften Institut für Wirtschaftsinformatik / Intelligent Information Systems Lange Gasse 20, 90403 Nürnberg patrick.zschech(a)fau.de <mailto:patrick.zschech@fau.de> www.intelligentsystems.wiso.rw.fau.de/ <http://www.intelligentsystems.wiso.rw.fau.de/> -- 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] Second Call: Development of Mobile Semantic Apps using Punya (ISWC Challenge)
by Gustaf Neumann 25 Jun '21

25 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] Second Call: Development of Mobile Semantic Apps using Punya (ISWC Challenge) Date: Thu, 24 Jun 2021 13:19:06 +0000 From: William Van Woensel <William.Van.Woensel(a)Dal.Ca> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Second Call for Participation (optional check-in date extended to 30th June, 2021) Build mobile semantic apps. Solve problems. Win prizes! A joint team of researchers from MIT, Dalhousie University, Rensselaer Polytechnic Institute, and Politecnico di Bari are organizing a Semantic Web Challenge at the 20th International Semantic Web Conference, focused on building semantically-enabled mobile apps using the MIT Punya platform<https://punya.mit.edu>. Top projects will have the opportunity to present their projects at ISWC. Moreover, up to US$ 1000 will be split among the top projects as assessed by the judges and organizers! See https://punya.mit.edu/challenge/ for more, or keep reading on below. MIT Punya is a drag-and-drop web-based platform for building mobile apps for Android (iOS forthcoming). The team has prepared a number of Punya tutorials: * Rdf Notepad<http://punya.appinventor.mit.edu/?repo=RdfNotepad> * Sleep Apnea<http://punya.appinventor.mit.edu/?repo=SleepApnea> * LDP CoAP<http://punya.appinventor.mit.edu/?repo=LdpCoapTutorial> Additional material can be found in our ISWC 2020 tutorial<https://docs.google.com/document/d/1CJ-uecwaE5kGDX6QFHuZCIwyVlcWJCQ4Xd6iwEf…>, including an elaboration on the Linked Data components, notes on map visualization and machine learning, and a mobile app for detecting contra-indicated drugs<https://docs.google.com/document/d/1CJ-uecwaE5kGDX6QFHuZCIwyVlcWJCQ4Xd6iwEf…>. Apps should tackle relevant and challenging real-world scenarios that impact health, the environment, and society. Suggested themes include, but are not limited to: Social Good, Better Resource Allocation (e.g., water scarcity, natural disaster response), Climate Change, Ending Poverty, Health Care (e.g.,COVID-19, mental health), Learning and Working Remotely, Living Together, Active Aging, Social and Racial Justice, and Social Impact of Artificial Intelligence (e.g., biases, opportunities, equitability). Some concrete examples include mobile patient diaries in healthcare, apps to populate geographical information systems, capture provenance metadata (e.g., ecology, geology), help with disaster management and humanitarian aid, perform experience sampling in psychology, and engage the public (ranging from crowdsourcing of nuisances to direct democracy initiatives). Participants will build an intelligent mobile app using the Punya framework that connects with online Linked Data sources and services, nearby IoT devices or on-device sensors, and/or implement expert system features, by producing, consuming, and processing Linked Data. The challenge participants will be expected to utilize at least two Punya Linked Data components. Moreover, participants may extend the Punya framework itself with new Linked Data components, or extend existing ones. Apps are due by July 15, 2021 with an optional check-in on June 30, 2021. Results will be announced August 15, 2021. For more details about participating, please see https://punya.mit.edu/challenge/. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call For Book Chapter: Handbook of Research on Foundations and Applications of Intelligent Business Analytics
by Gustaf Neumann 25 Jun '21

25 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] Call For Book Chapter: Handbook of Research on Foundations and Applications of Intelligent Business Analytics Date: Fri, 25 Jun 2021 11:36:59 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org 3rd CALL FOR BOOK CHAPTERS BOOK: Handbook of Research on Foundations and Applications of Intelligent Business Analytics EDITED BY PROF. DR. ZHAOHAO SUN AND PROF. DR. ZHIYOU WU TO BE PUBLISHED BY IGI Global, USA HTTPS://WWW.IGI-GLOBAL.COM/PUBLISH/CALL-FOR-PAPERS/CALL-DETAILS/5211orhttp:… *Introduction* We are living in the age of big data, analytics, and artificial intelligence (AI). Intelligent business analytics as the integration of big data, analytics, and artificial intelligence for business has drawn increasing attention in academia and industries. Intelligent business analytics mainly includes intelligent business analytics systems, intelligent business analytics platform, intelligent business analytics services, intelligent business process analytics, intelligent human resource analytics, intelligent marketing analytics, business analytics intelligence, intelligent business analytics tools, advanced intelligent business analytics, intelligent customer analytics, intelligent traffic analytics, intelligent data analytics, intelligent health analytics, intelligent big data analytics and more. Intelligent business analytics is still an emerging discipline in academia although artificial intelligence (AI) and business analytics have become a hotspot in academia and industries. The following are still big research issues for developing intelligent business analytics based on our preliminary analysis: What is intelligent business analytics? What is the fundamental of intelligent business analytics? How can incorporate the latest intelligent techniques into business analytics applications? What are the applications of intelligent business analytics? What are the impacts of intelligent business analytics on intelligent business and business decision making? *The objective of the book* This book addresses the above-mentioned research issues by investigating the foundations, technologies, and applications of intelligent business analytics. This book is the first book on "Intelligent business analytics" that focuses on intelligent business, intelligent business analytics, intelligent analytics including intelligent big data analytics in the age of big data, analytics, and artificial intelligence. This book is the first book to reveal the cutting-edge theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way. This is also the first book demonstrating that intelligent business analytics is at the center of intelligent business, intelligent decision making, intelligent management, digital transformation, governance, and services in the digital age. *Target audience* This book?s primary aim is to convey the theoretical foundations, technologies, thoughts, and methods of intelligent business analytics with applications to scientists, engineers, educators and university students, business, service, and management professionals, policy-makers, decision-makers, and others who have an interest in big data, intelligent business, intelligent management, intelligent business analytics, AI, digital transformation, SMACS (service, mobile, analytics, cloud, social) business and intelligence, service, and data science. Primary audiences for this book are undergraduate, postgraduate students, and a variety of professionals in the fields of big data, analytics, intelligent business and management, data science, information science and technology, knowledge technology and engineering, intelligence science, AI, ICT, computing, commerce, business, services, management, and government. The variety of readers in the fields of government, consulting, marketing, business, and trade, as well as the readers from all the social strata, can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies, and applications of intelligent business analytics in the digital age. *Recommended topics *include, but are not limited to, the following We seek book chapters with original research that promotes theoretical and technical research as well as emerging applications of intelligent business analytics. Submissions that cross multiple disciplines such as management, service, business, AI, intelligent systems, computer science, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent business analytics, are especially encouraged. *Topics of Interest* Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent business analytics. Part I. Foundations of intelligent analytics Topics: fundamental concepts and theories, models/architectures, frameworks/mechanisms or foundations for developing, operating, evaluating, managing, and regulating intelligent analytics and intelligent business analytics. The following topics might include, but not limited to. 1. Intelligent business analytics as a science 2. A unified theoretical foundation of intelligent business analytics 3. Frameworks and mechanisms for intelligent business analytics 4. Business Intelligence, big data intelligence 5. Business analytics intelligence 6. Intelligent business analytics for big data, information, knowledge, intelligence, and wisdom processing 7. Intelligent business analytics ecosystems 8. Intelligent business analytics for automated decision making. 9. Intelligent business analytics and intelligent analytics 10. Computational foundations of intelligent business analytics 11. New computational models for big data analytics 12. Mathematical fundamentals of intelligent business analytics 13. Mathematical theory of intelligent analytics 14. Fuzzy logic approach to intelligent business analytics 15. ICT fundamentals for analytics 16. Business models for intelligent analytics 17. Real-time algorithms for intelligent business analytics 18. Intelligent business analytics thinking 19. Computing thinking for intelligent analytics 20. Business processes flow-oriented intelligent analytics 21. Big data science 22. Data preparation and data visualization 23. Machine learning and deep learning for intelligent business analytics 24. Data and text mining for intelligent business analytics 25. Intelligent warehouses, intelligent mining, intelligent statistical modelling 26. Data visualization for intelligent business analytics 27. Intelligent visualization of data, models, and insights 28. Statistical modelling for intelligent business analytics 29. Intelligent reporting 30. Optimization for big data, information, knowledge, intelligence, and wisdom 31. AI, Ethic AI, Explainable AI, and responsible AI for business analytics process Part II. Technologies for intelligent analytics Topics: Tools and technologies for developing, operating, evaluating, managing, and regulating intelligent analytics and intelligent business analytics might include the following topics of interest, but not limited to. 1. Intelligent business analytics as a technology 2. Intelligent technology, computational technology, web technology, Internet technology, social networking technology, cloud technology, big data technology, IoT, and IoE (the Internet of everything) technology for business analytics 3. Intelligent business analytics systems 4. Intelligent business analytics services 5. Intelligent business analytics management 6. Intelligent enterprise analytics 7. Intelligent services analytics 8. Intelligent data visualization techniques for business analytics 9. Intelligent techniques for enterprise analytics and services analytics. 10. Business processes flow-oriented intelligent analytics 11. Rule-based systems 12. Neural networks 13. Fuzzy logic 14. Expert systems 15. Intelligent agents and multi-agent systems 16. Cased-based reasoning 17. Genetic algorithms 18. Data mining algorithms 19. Intelligent user interfaces 20. Knowledge management 21. Intelligent big data/information/knowledge technologies 22. Intelligent service technologies 23. Social networking technologies 24. Intelligent decision technologies 25. Cloud computing, IoT, and IoE 26. Intelligent business and management technologies 27. Intelligent analytics for Micro, Small & Medium Enterprises (MSMEs) 28. Optimization techniques for intelligent business analytics 29. Machine-to-machine communication. Part III. Applications of intelligent analytics Topics: Real-world applications and case studies for using foundations and technologies in Part I, II in various domains such as digital transformation, blockchain, 5G systems, SMACS business and services, intelligent drones, healthcare, smart cities, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent descriptive, diagnostic, predictive and prescriptive analytics. The following topics might include, but not limited to. 1. Intelligent business analytics-based innovation and entrepreneurship 2. Intelligent analytics in business ecosystems 3. Intelligent business analytics with public and open data 4. Intelligent business analytics for market innovation 5. Intelligent business analytics for e-business 6. Intelligent business analytics for cloud computing 7. Intelligent business analytics for IoT and IoE 8. Intelligent business analytics for blockchain 9. Intelligent business analytics for 5G applications 10. Intelligent business analytics for business decision making 11. Intelligent healthcare analytics 12. Analytic flow-oriented business solutions 13. Intelligent business analytics for business model innovation 14. Big data analytics economics and business analytics economics 15. Intelligent business analytics for location intelligence 16. Big data management and intelligent business analytics 17. Marketing analytics, healthcare analytics, management analytics, and HR analytics 18. Intelligent analytics in banking industry 19. Intelligent analytics in social networking services 20. Intelligent analytics for big data, information, knowledge, and wisdom 21. Cybersecurity and privacy in intelligent business analytics. 22. Intelligent analytics for management 23. Intelligent analytics for risk management 24. Organization analytics 25. Intelligent analytics-driven decision making 26. Analytics centric business and enterprise innovations 27. SME oriented intelligent business analytics 28. Academic analytics, teaching analytics, and learning analytics 29. Smart AI, intelligent business analytics adoption studies 30. Ethical issues related to intelligent business analytics 31. Risks in adoption and deployment of business analytics and enterprise analytics. 32. Challenges, trends, and controversies of intelligent analytics and business analytics Part IV. Emerging technologies and applications for intelligent business analytics Topics: Emerging cutting-edge technologies, methodologies, and applications for intelligent business analytics. The following topics of interest might also include, but not limited to. 1. Next-generation big data analytics 2. Next generation of intelligent business analytics 3. Intelligent business analytics for enhancing organization intelligence and market intelligence. 4. Emergent intelligent business analytics technologies 5. Emergent technologies for business analytics intelligence 6. Challenges, opportunities, and implications of intelligent big data analytics 7. Challenges, opportunities, and implications of intelligent enterprise analytics and market analytics 8. Challenges and opportunities for intelligent big information analytics 9. Challenges and opportunities for intelligent big knowledge analytics 10. Challenges and opportunities for intelligent analytics research 11. Challenges, opportunities, and dark-side of intelligent analytics applications 12. Ethic AI, explainable AI, and responsible AI for business analytics 13. Challenges and opportunities for intelligent analytics tools, platforms , and systems 14. Organisational and business innovation from AI and intelligent business analytics 15. Automated analytics process integration. *Submission Procedure* Researchers and practitioners are invited to submit on or before July 21, 2021, a chapter proposal (Abstract) of 150 to 2,00 word/s clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 30, 2021, about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by August 19, 2021, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Handbook of Research on Foundations and Applications of Intelligent Business Analytics. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery? online submission manager through clicking "Propose a chapter" at https://www.igi-global.com/publish/call-for-papers/call-details/5211. *Submission Format and Evaluation* Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, and references. Every book chapter must be submitted in Microsoft Word and be typewritten in English in APA style based on the "manage source" and "insert citation" function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your book chapter, you will be required to sign a warranty that your book chapter is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery? online submission manager. Conditioned accepted chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates - July 21, 2021: 1st proposal submission deadline to the editor (if you submitted, please ignore this part), - August 19, 2021: Submission deadline of the full chapters. - Oct 17, 2021: Review results due to authors - Nov 14, 2021: Revisions due from authors - Nov 28, 2021: Final acceptance/rejection notification due to authors - Dec 12, 2021: All final accepted materials due from authors. Prof. Dr. Zhaohao Sun, Ph.D. & Prof. Dr. Zhiyou Wu, Ph.D. Editor of Handbook of Research on Foundations and Applications Intelligent Business Analytics Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe 411, PNG zhaohao.sun(a)gmail.com & School of Mathematical Sciences Chongqing Normal University, China zywu(a)cqnu.edu.cn _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [wkwi] CfP: WI2022 - Track „Gestaltung, Management und Auswirkungen von KI-basierten Systemen“
by Gustaf Neumann 25 Jun '21

25 Jun '21

-------- Forwarded Message -------- Subject: [wkwi] CfP: WI2022 - Track „Gestaltung, Management und Auswirkungen von KI-basierten Systemen“ Date: Thu, 24 Jun 2021 15:39:58 +0000 From: Berger, Benedikt <benedikt.berger(a)bwl.lmu.de> Reply-To: Berger, Benedikt <benedikt.berger(a)bwl.lmu.de> To: wi(a)lists.kit.edu <wi(a)lists.kit.edu>, wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> (Bitte entschuldigen Sie eventuelle Mehrfachzustellungen.) *Call for Papers für den WI2022-Track **„**Gestaltung, Management und Auswirkungen von KI-basierten Systemen“* ** 17. Internationale Tagung Wirtschaftsinformatik (WI2022), 21.-23. Februar 2022 an der Friedrich-Alexander-Universität Erlangen-Nürnberg www.wi22.de <http://www.wi22.de> *Track Chairs* Alexander Benlian, Technische Universität Darmstadt Benedikt Berger, Ludwig-Maximilians-Universität München Stefan Morana, Universität des Saarlandes Martin Wiener, Technische Universität Dresden *Beschreibung* Die raschen Entwicklungen im Gebiet der Künstlichen Intelligenz (KI), die Verfügbarkeit von immer mehr Rechenleistung und die exponentiell wachsenden Datenmengen ermöglichen den Einsatz KI-basierter Systeme in vielen neuen Anwendungsszenarien. KI-basierte Systeme sind allgegenwärtig und Menschen interagieren mit ihnen sowohl im privaten als auch im geschäftlichen Kontext. Wir fragen Alexa morgens wie das Wetter heute wird, Google Maps navigiert uns zur Arbeit, ein intelligentes System auf der Arbeit sagt uns, dass eine Maschine gewartet werden muss, und abends schlägt uns Netflix ein für uns passenden Film vor. In all diesen Anwendungsszenarien interagieren wir mit KI-basierten Systemen. Darüber hinaus ermöglichen KI-basierte Systeme vielfältige Chancen für die gesamte Wirtschaft und besonders für diejenigen Unternehmen, die es schaffen die wirtschaftlichen Potenziale von KI für sich zu nutzen. Im Gegensatz zu der Vielzahl von Chancen, welche KI-basierte Systeme für einzelne Individuen, Unternehmen oder die Gesellschaft mit sich bringen, müssen auch Risiken und potenzielle Gefahren berücksichtigt werden. Während KI-basierte Systeme immer komplexer und in manchen Bereichen (z.B. in der medizinischen Diagnostik) Menschen schon bald überlegen sein werden, sorgen sich Forscher und die Öffentlichkeit auch um mögliche negative Auswirkungen in ethischer, rechtlicher und sozialer Hinsicht. Viele KI-basierte Systeme und ihre zugrundeliegenden Algorithmen sind nicht transparent genug, um einen möglichen Missbrauch oder systematische Fehler erkennen oder verhindern zu können. Die Intransparenz KI-basierter Systeme kann dazu führen, dass Nutzer wissentlich oder unwissentlich diskriminiert oder manipuliert werden. KI-basierte Systeme müssen daher besonders sorgfältig konzipiert und implementiert werden, um unerwünschte Auswirkungen oder einen Missbrauch zu verhindern. *Mögliche Themenfelder* Dieser Track möchte die WI-Community einladen, Beiträge zur Gestaltung, dem Management und den Auswirkungen von KI-basierten Systemen auf individueller, organisatorischer und gesellschaftlicher Ebene einzureichen. Er ist offen für alle Methoden und Arten von Beiträgen, die folgende oder verwandte Themen adressieren: ·KI-basierte Assistenzsysteme (für Endnutzer und Unternehmen) ·Systeme auf Basis hybrider und erweiterter KI ·Zusammenarbeit zwischen Mensch und KI-basierten Systemen (Human-in-the-Loop) ·Entwicklung, Gestaltung und Implementierung von KI-basierten Systemen ·Vertrauen und Misstrauen in KI-basierte Systeme (Vertrauenswürdige KI) ·Erklärbarkeit und Transparenz von KI-basierten Systemen ·Operative und strategische Auswirkungen von KI-basierten Systemen in Unternehmen ·Nachteile KI-basierter Systeme: Verzerrungen, Diskriminierung und Ablehnung ·Praktischer Einsatz von KI-basierten Systemen in Organisationen (z.B. KI und Produktinnovation, KI und Kundenbetreuung, KI und Marketing, KI und Prozessoptimierung) ·Wirtschaftliche Potentiale von KI-basierten Systemen (z.B. neue Geschäftsmodelle durch den Einsatz KI-basierter Systeme) ·Ethische, rechtliche und soziale Implikationen von KI-basierten Systemen *Associate Editors* ·Martin Adam, Technische Universität Darmstadt ·Philipp Ebel, Universität St. Gallen ·Andreas Fink, Helmut-Schmidt-Universität/UniBw Hamburg ·Burkhardt Funk, Leuphana Universität Lüneburg ·Benjamin van Giffen, Universität St. Gallen ·Thomas Hess, Ludwig-Maximilians-Universität München ·Peter Hofmann, Universität Bayreuth ·Andreas Holzinger, Medizinische Universität Graz ·Christian Janiesch, Julius-Maximilians-Universität Würzburg ·Ekaterina Jussupow, Universität Mannheim ·Wolfgang König, Goethe-Universität Frankfurt ·Niklas Kühl, Karlsruher Institut für Technologie ·Matthias Kraus, Friedrich-Alexander Universität Erlangen-Nürnberg ·Sascha Lichtenberg, Technische Universität Dresden ·Cristina Mihale-Wilson, Goethe-Universität Frankfurt ·Nicolas Pröllochs, Justus-Liebig-Universität Giessen ·Jana Rehse, Universität Mannheim ·Matthias Schumann, Georg-August-Universität Göttingen ·Patrick Zschech, Friedrich-Alexander Universität Erlangen-Nürnberg *Wichtige Termine* Frist für die Ersteinreichung von Beiträgen: 01.09.2021 um 14:00 Uhr Bekanntgabe der Begutachtungsergebnisse: 31.10.2021 Frist für die Einreichung der überarbeiteten Beiträge: 15.11.2021 Alle weiteren Informationen zur Konferenz finden Sie unter https://www.wi22.de/ *Dr. Benedikt Berger* Ludwig-Maximilians-Universität München (LMU) Munich School of Management Institute for Information Systems and New Media Room 213 | Ludwigstrasse 28 | 80539 Munich | Germany Phone +49 (0)89 2180-6392 | Fax +49 (0)89 2180-996392 _benedikt.berger(a)bwl.lmu.de <mailto:benedikt.berger@bwl.lmu.de>_ | www.wim.bwl.lmu.de <http://www.wim.bwl.lmu.de/>

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Fwd: [AISWorld] CfP: WI2022 - Track „Gestaltung, Management und Auswirkungen von KI-basierten Systemen“
by Gustaf Neumann 25 Jun '21

25 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] CfP: WI2022 - Track „Gestaltung, Management und Auswirkungen von KI-basierten Systemen“ Date: Thu, 24 Jun 2021 16:00:15 +0000 From: Berger, Benedikt <benedikt.berger(a)bwl.lmu.de> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> (Apologies if multiple copies of this call are received) Call for Papers: Track “Design, Management, and Impact of AI-based Systems” 17th International Conference on Wirtschaftsinformatik (WI2022), February 21st-23rd, 2022 at the Friedrich-Alexander-Universitaet Erlangen-Nuernberg www.wi22.eu<http://www.wi22.eu> Track Chairs Alexander Benlian, TU Darmstadt Benedikt Berger, LMU Munich Stefan Morana, Saarland University Martin Wiener, TU Dresden Description The rapid developments in the field of artificial intelligence (AI), the availability of more and more computing power, and the exponentially growing data volumes enable the use of AI-based systems in many new application scenarios. AI-based systems are ubiquitous and people interact with them in both private and business contexts. We ask Alexa in the morning what the weather will be like today, Google Maps navigates us to work, predictive maintenance systems at work tell us that machines need to be serviced, and in the evening, Netflix suggests a movie that matches our preferences. In all these application scenarios, we interact with an AI-based system. Beyond these examples, AI-based systems offer a wide range of opportunities for the entire economy and especially for those companies that manage to exploit the economic potential of AI. In contrast to the multitude of opportunities that AI-based systems offer to individuals, companies, or society at large, several risks and potential downsides must be considered. While AI-based systems are becoming increasingly complex and will soon be superior to humans in some areas (e.g., medical diagnostics), researchers and the public are also increasingly concerned with potential drawbacks from ethical, legal, and social perspectives. Many of the current AI-based systems and their underlying algorithms are not transparent enough to detect or prevent possible misuse or systematic errors. The opacity of AI-based systems can lead to users being knowingly or unknowingly discriminated or manipulated. AI-based systems must therefore be designed and implemented with special care to prevent undesired effects or misuse. Potential Topics This track would like to invite the WI community to submit contributions on the individual, organizational, and societal level to the design, management, and impact of AI-based systems. It is open to all methods and types of contributions that address the following or related topics: · AI-based assistance systems (for end users and companies) · Systems based on hybrid and extended AI · Cooperation between humans and AI-based systems (Human-in-the-Loop) · Development, design, and implementation of AI-based systems · Trust and distrust in AI-based systems (Trustworthy AI) · Explainability and transparency of AI-based systems · Operational and strategic effects of AI-based systems in companies · Disadvantages of AI-based systems: biases, distortions, discrimination, and rejection · Practical applications of AI-based systems in organizations (e.g., AI and product innovation, AI and customer care, AI and marketing, AI and process optimization) · Economic potential of AI-based systems (e.g., new business models through the use of AI-based systems) · Ethical, legal, and social implications of AI-based systems Associate Editors · Martin Adam, TU Darmstadt · Philipp Ebel, University of St. Gallen · Andreas Fink, Helmut-Schmidt-Universität/UniBw Hamburg · Burkhardt Funk, Leuphana University of Lueneburg · Benjamin van Giffen, University of St. Gallen · Thomas Hess, LMU Munich · Peter Hofmann, University of Bayreuth · Andreas Holzinger, Med Uni Graz · Christian Janiesch, Julius-Maximilians-Universitaet of Wuerzburg · Ekaterina Jussupow, University of Mannheim · Wolfgang Koenig, Goethe University Frankfurt · Niklas Kuehl, Karlsruhe Institute of Technology · Matthias Kraus, Friedrich-Alexander Universität Erlangen-Nuernberg · Sascha Lichtenberg, TU Dresden · Cristina Mihale-Wilson, Goethe University Frankfurt · Nicolas Proellochs, University of Giessen · Jana Rehse, University of Mannheim · Matthias Schumann, University of Goettingen · Patrick Zschech, Friedrich-Alexander Universität Erlangen-Nuernberg Important Dates Paper submission deadline: September 1st, 2021 at 2 pm Central European Time Paper decision notification: October 31st, 2021 Submission deadline for revised papers: November 15th, 2021 For further information please visit https://www.wi22.eu Dr. Benedikt Berger Ludwig-Maximilians-Universitaet Muenchen (LMU) Munich School of Management Institute for Information Systems and New Media Room 213 | Ludwigstrasse 28 | 80539 Munich | Germany Phone +49 (0)89 2180-6392 | Fax +49 (0)89 2180-996392 benedikt.berger(a)bwl.lmu.de<mailto:benedikt.berger@bwl.lmu.de> | www.wim.bwl.lmu.de<http://www.wim.bwl.lmu.de/> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers: Digital Technologies and Social Justice
by Gustaf Neumann 24 Jun '21

24 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers: Digital Technologies and Social Justice Date: Wed, 23 Jun 2021 17:49:00 -0500 From: Jan DeGross <degro003(a)umn.edu> To: aisworld(a)lists.aisnet.org MIS Quarterly Call for Papers: Digital Technologies and Social Justice Editors: Margunn Aanestad (University of Agder), Atreyi Kankanhalli (National University of Singapore), Likoebe Maruping (Georgia State University), Min-Seok Pang (Temple University), Sudha Ram (University of Arizona). Email: misqsocialjustice(a)gmail.com Submission deadline: June 30, 2022 Social justice has been recognized as a global issue by the United Nations (United Nations 2006). It refers to a state of fairness, moderation, and equality in the distribution of rights and resources in society (United Nations 2006). The United Nations Millennium Declaration, Article I, states that freedom, equality, and tolerance are among “fundamental values” and that “Human beings must respect one other in all their diversity of belief, culture and language. Differences within and between societies should be neither feared nor repressed, but cherished as a precious asset of humanity.” The IS scholarly community has set itself apart in its longstanding ability to embrace and grapple with complexity at the nexus of digital technology and social phenomena. We see this special issue as an opportunity to help other academic disciplines and our external stakeholders to better understand the complexity underlying the potential role of technology in social justice. We believe that digital technology can have multiple roles – they can be seen as a means for revealing justice phenomena, as an instrument of delivering or breaching justice, as an algorithm for calculating or determining justice, and as a context that alters justice phenomena. What other roles could they have and what theories or frameworks can we offer to enable other fields and our external stakeholders to better understand technology’s role? Submissions are due June 30, 2022. All papers must be submitted in the special issue category through MISQ’s ScholarOne submission site located at https://mc.manuscriptcentral.com/misq. All submissions must adhere to MISQ submission instructions (see https://misq.org/instructions/). The full call for papers is available at http://misq.org _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CfP: 12th International Conference on Software Business ICSOB – Theme: Software Sustainability
by Gustaf Neumann 24 Jun '21

24 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] CfP: 12th International Conference on Software Business ICSOB – Theme: Software Sustainability Date: Wed, 23 Jun 2021 20:47:55 +0000 From: Sonja Hyrynsalmi <Sonja.Hyrynsalmi(a)lut.fi> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Welcome to 12th International Conference on Software Business ICSOB – This year theme: Software Sustainability! The 12th International Conference on Software Business ICSOB will be organized by School of Business, University of South-Eastern Norway, 2nd-3rd December 2021. We plan for a hybrid conference with possibility for physical meetings. However, the detailed setup is a subject to change depending on the development of the pandemic. Although the business of software shares common features with other international knowledge-intensive businesses, it carries many inherently unique features. It is making it a challenging domain for research. The examples of many successful companies show that software provides a unique benefit to its users. Moreover, software has spread all over the world and has permeated in many industries, which are not usual for software. In particular, software companies have to depend on one another to deliver a unique value proposition to their customers or a unique experience to their users. Companies that were engineering-driven become software intensive and struggle to keep up with the required speed of development and planning. Theme of the year: Software Sustainability Sustainability is derived from the concept of sustainable development and is defined by the World Commission on Environment and Development as “a process of change in which the exploitation of resources, the direction of investments, the orientation of technological development, and institutional change are made consistent with future as well as present needs“. There is an urgent need for sustainability management in many domains and areas, including software business. The special theme of ICSOB2021 is Software Sustainability. Research about software sustainability addresses sustainability concerns regarding aspects such as software product, software development process, strategy and policy, people, partnership, ecosystem, and business model. We welcome both research and industry papers to the conference. The papers should be original and not submitted to or accepted by any other conference or journal. We are looking for short position and practice papers (maximum 6 pages) that provide insights on the life cycle management of software products and industry case studies as well as full research papers (maximum 15 pages) describing novel approaches to software business for software products and services. The topics that ICSOB welcomes (but not limited to) are listed below: • Software Sustainability – sustainability of software products, sustainable software development, sustainable software business model, sustainable management in software development and operation • Software Ecosystems and App Stores – aspects related to software ecosystems health, ecosystem orchestration and governance, app economy, actors and supply network analysis, incentives and ecosystem-based business models • Software Business Development – aspects related to developing business models and business modeling for software products and services, effective business model change, and improvement, economics of software companies, mergers and acquisitions, internationalization, outsourcing and other strategies for realizing these business models. • Licensing, intellectual property and patents aspects and other legal aspects associated with software business – privacy and security is also welcome here • Software startups – aspects related to environment success factors for software business and startups, entrepreneurial process in software development, software startup processes, disruptive innovation and adoption of startups, competence, risk management and managing startup growth • Engineering and Management – aspects related to software product management, life-cycle perspective, continuous delivery, agile development, technical debt, platform governance, digital platforms, matchmakers, and value co-creation • Human value, morale, ethics and believes – human-centered design, ethical software engineering, AI ethics, transparency, etc. • Other aspects – games and gamification, software business education, disruptive trends in software business and the future of software business A selection of best papers will be invited to submit extended versions for tentative publication in a Special Section of Information and Software Technology published by Elsevier https://www.journals.elsevier.com/information-and-software-technology You are very welcome to submit your papers to one of these tracks via the EasyChair submission system : https://easychair.org/conferences/?conf=icsob2021 Important Dates • Abstract submissions: August 27th, 2021 • Full paper submissions: September 3rd, 2021 • Notification of acceptance: October 10th, 2021 • Camera-ready copies: October 29th, 2021 • Conference: December 2nd-3rd, 2021 A selection of best papers will be invited to submit extended versions for tentative publication in a Special Section of Information and Software Technology published by Elsevier https://www.journals.elsevier.com/information-and-software-technology You are very welcome to submit your papers to one of these tracks via the EasyChair submission system : https://easychair.org/conferences/?conf=icsob2021 Submission Formats Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer’s LNCS format and should not exceed 16 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 16 pages (for full papers) or 8 pages (for short papers), or being obviously out of the scope of the conference, will be rejected without review. Three to five keywords characterizing the paper should be indicated at the end of the abstract. The type of paper (technical/empirical evaluation/experience/exploratory paper) should be indicated in the submission. Submission is done through Easychair. Each paper will be reviewed by at least two reviewers. Accepted papers will be presented at ICSOB ’21 and published in the conference proceedings, which is published in the Springer Lecture Notes in Computer Science (LNCS). Organizers: Anh Nguyen-Duc, Business school University of South Eastern Norway (Conference Chair) XiaoFeng Wang, Free University of Bozen-Bolzano (Program Chair) Antonio Martini, University of Oslo (Program Chair) Viktoria Stray, University of Oslo (Proceeding Chair) Kryzstof Wnuk, Blekinge Institute of Technology (Publicity Chair) Sonja Hyrynsalmi, LUT University (Publicity Chair) Dimitris Polychronopoulos, Entreprenerdy (Startup Community Chair) Orges Cico, Norwegian University of Science and Technology (Startup Community Chair) Sonja Hyrynsalmi, LUT University (PhD Symposium Chair) Salah Uddin Ahmed, University of South Eastern Norway (Local Chair) More info: https://icsob2021.org/ and in Twitter @ICSOBconf ICSOB 2021 Publicity Co-Chair, Sonja Hyrynsalmi Junior Researcher | Software engineering LUT University, Lahti _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CfP - EdbA 2021 - Second International Workshop on Event Data and Behavioral Analytics
by Gustaf Neumann 23 Jun '21

23 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] CfP - EdbA 2021 - Second International Workshop on Event Data and Behavioral Analytics Date: Wed, 23 Jun 2021 14:51:30 +0200 From: Benoit DEPAIRE <benoit.depaire(a)uhasselt.be> To: aisworld(a)lists.aisnet.org [Apologies for cross-posting] ******************************************************************************** Call for Papers EdbA 2021 - Second International Workshop on Event Data and Behavioral Analytics 1 November 2021 Co-located with the 3rd Int. Conference on Process Mining (ICPM) http://www.edba.science ******************************************************************************** The workshop aims to further the development of new (or the novel application of existing) techniques, algorithms, and data structures for recording, storing, managing, processing, analyzing, and visualizing event data in various forms in order to gain insights into the behavior of various kinds. The workshop welcomes different types of submissions, i.e. original research papers, case study reports, position papers, idea papers, challenge papers, and WiP papers on event data and behavioral analytics. Important Dates -------------------------- - Abstract submission deadline: August 19, 2021 - Papers submission deadline: August 26, 2021 - Notification: September 16, 2021 - Camera-ready deadline: September 30, 2021 - Workshop: November 1, 2021 Scope -------------------------- Over the past decades, capturing, storing, and analyzing event data has gained attention in various domains such as process mining, clickstream analytics, IoT analytics, e-commerce, and retail analytics, online gaming analytics, security analytics, website traffic analytics and preventive maintenance, smart homes, and offices, just to name a few. It even resulted in the birth of new research domains such as behavioral informatics, behavioral analytics, and behavioral operations research. The interest in event data lies in its analytical potential as it captures the dynamic behavior of people, objects, and/or systems at a fine-grained level. While each of these domains has its own applications and idiosyncrasies, they share the common denominator of event data and the objective to analyze behavior. Yet, these domains also differ in underlying assumptions and techniques used. Therefore, the objective of this workshop is to provide a forum to practitioners and researchers for studying a quintessential, minimal notion of events as the common denominator for records of discrete behavior in all its forms, and to study, develop and discuss techniques and methods for behavioral analytics based on all kinds of events. The Event Data & Behavioral Analytics (EdbA) workshop considers as its starting point the presence of event data being recorded at various sources and contexts, being stored in various forms, and being considered for analysis of the behavior of various kinds. Event data at different levels of granularity are considered, ranging from frequent sensor-based events in IoT settings to recordings of aggregate or long-running behavior involving time intervals and rich information. Behavior often involves multiple entities, objects, and actors to which events can be correlated in various ways. In these situations, a unique explicit process notion does either not exist, is unclear or different processes or dynamics could be recorded in the same dataset. The workshop aims to further the development of new (or the novel application of existing) techniques, algorithms, and data structures for recording, storing, managing, processing, analyzing, and visualizing event data in various forms. The workshop welcomes two types of submissions, i.e. original research papers as well as case study reports on event data and behavioral analytics. Topics of interest -------------------------- The topics considered in the workshop consist of, but are not limited to: - Augmentation of fine-grained event data to higher-order activities or behavior - Storage, integration, and querying of behavioral event data - Representation and analysis of event data without a unique case identifier (without case identifier or with multiple case identifiers present) - Monitoring and detection of complex behavior - Diagnosis of behavior, including root-cause analysis, variance analysis, cluster analysis and many other exploratory analysis techniques - Visual analytics of (complex) behavior - Behavior Pattern detection, e.g., in real-time location data or other types of context-rich data - Outlier Behavior Detection - Behavior Prediction - Prescriptive analytics which predicts behavior and prescribes which action could steer behavior in a specific direction Submissions ----------------- We are interested in original research papers, case study reports, position papers, idea papers, challenge papers, and WiP papers. Submissions must use the Springer LNCS/LNBIP format (see the instructions [1]) and cannot exceed 12 pages (always including tables, figures, the bibliography, and appendices). Only papers in English will be considered and must present original research contributions not concurrently submitted elsewhere. Papers must be submitted electronically via the EasyChair portal [2]. All accepted papers will appear in the workshop proceedings published by Springer in the Lecture Notes in Business Information Processing (LNBIP) series. [1] https://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0 [2] https://easychair.org/my/conference?conf=icpm2021 Program Committee -------------------------- - Periklis Andritsos, University of Toronto, Canada - Gael Bernard, University of Toronto, Canada - Ioannis Chatzigiannakis, Sapienza University of Rome, Italy - Jochen De Weerdt, Catholic University of Leuven, Belgium - Massimiliano de Leoni, University of Padova, Italy - Claudio di Ciccio, Sapienza University of Rome, Italy - Chiara Di Francescomarino, Fondazione Bruno Kessler-IRST, Italy - Bettina Fazinga, ICAR - National Research Council, Italy - Marwan Hassani, Eindhoven University of Technology, the Netherlands - Gert Janssenswillen, Hasselt University, Belgium - Xixi Lu, Utrecht University, the Netherlands - Fabrizzio Maggi, Free University of Bozen, Italy - Felix Mannhardt, Eindhoven University of Technology, the Netherlands - Niels Martin, Hasselt University, Belgium - Jan Mendling, Humboldt-Universität zu Berlin, Germany - Marco Montali, Free University of Bozen, Italy - Mathias Weidlich, Humboldt-Universität zu Berlin, Germany Organizers -------------------------- - Benoît Depaire, Hasselt University, Belgium - Fahland, Dirk, Eindhoven University of Technology, the Netherlands - Francesco Leotta, Sapienza University of Rome, Italy - Senderovich, Arik, University of Toronto, Canada Contacts -------------------------- Web: http://www.edba.science/ Email: info(a)edba.science _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers: Quaternary Special Issue "Disaster Modeling and Management"
by Gustaf Neumann 23 Jun '21

23 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers: Quaternary Special Issue "Disaster Modeling and Management" Date: Wed, 23 Jun 2021 13:00:51 +0000 From: Mahdi Najafabadi <Mahdi.Najafabadi(a)sph.cuny.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleagues, We invite you to submit your Agent-Based and Artificial Intelligence Models to the Quaternary Special Issue on the "Disaster and Emergency Management"<https://www.mdpi.com/si/88042> (ISSN 2571-550X). The prime goals of disaster and emergency management (DEM) are to save lives and protect communities and their assets and the environment from natural, technological, and human-made disasters. DEM planning and operations at the mitigation, preparedness, response, and recovery phases can be empowered by advances in new methodologies and technologies. Emerging and growing agent-based modeling (ABM) and artificial intelligence (AI) and their combinations can help professionals, decision makers, and operators to achieve DEM goals better, faster, and more equitably. This issue aims to demonstrate: 1. how ABM and AI can change the way we understand, identify, model, assess, and manage risks associated with different natural, technological, and human-made hazards; 2. how ABM and AI can enhance individual, community, national, and global preparedness against large hazardous events; 3. how ABM and AI can be used to assist emergency management agencies and organizations in responding to major disaster events; and 4. how ABM and AI can support disaster relief, short-term and long-term recovery, and reconstruction efforts. We are looking for papers that answer one or a combination of the above questions using agent-based modeling, artificial intelligence, or a combination of the two. Deadline for manuscript submissions is 31st October 2021. For more information, please visit: https://www.mdpi.com/si/88042 Dr. Ali Asgary Dr. Mahdi Najafabadi Guest Editors Mahdi M. Najafabadi Ph.D., MPA, MBA, Software Engineering Center for Systems and Community Design CUNY School of Public Health The information included in this email may be strictly confidential and privileged or otherwise protected from disclosure. If you are not the intended recipient, please e-mail the sender and delete this message as well as any attachment from your system. If you are not the intended recipient you must not copy this message and its attachments nor disclose the contents to any other person. [http://theunbrokenwindow.com/wp-content/uploads/2010/12/recycle.jpg]Printing emails is usually a waste. Please do NOT print this email unless you really need to. Lets save more trees!

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