Cfp June 2021

cfp@alice.wu.ac.at

1 participants
63 discussions

Fwd: [AISWorld] CALL FOR PAPERS - EAIoT’2021 - with updated deadlines
by Gustaf Neumann 28 Jun '21

28 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] CALL FOR PAPERS - EAIoT’2021 - with updated deadlines Date: Mon, 28 Jun 2021 20:23:50 +0800 (GMT+08:00) From: 曹凯 <19083900110001(a)hainanu.edu.cn> To: aisworld(a)lists.aisnet.org First International Workshop on Latest Advances in Enterprise Architectures in the IoT Era (EAIoT’2021) http://eaiot2021.connect.rs In conjunction with IEEE EDOC’21 http://ieee-edoc.org/2021/ Gold Coast, Australia, October 25, 2021 CALL FOR PAPERS Internet of Things (IoT), one of the fastest growing Information and Communication Technologies (ICT), is impacting organizations from all perspectives (e.g., operational, legal, financial, and competitiveness) forcing them to review their functional and non-functional practices. According to the International Data Corporation (IDC), ``IoT spending will increase by a compound annual growth rate (CAGR) of 13.6% from 2017 to 2022, reaching $1.2 trillion within the next four years. It is also predicted 41 billion IoT devices by 2027 and 70% of automobiles will be connected to the Internet by 2023. To tap into the endless benefits and uses of IoT, the design principles and foundations of organizations’ enterprise architectures are expected to adjust to ensure a smooth integration of IoT into these architectures’ foundations namely organization, business, information, application, and technology. Aiming at examining these foundations separately and then collectively, this workshop is an open forum for discussions between academics and industry partners about the latest advances and developments in the dynamic field of enterprise architecture in the IoT era. The workshop addresses the lack of techniques and guidelines that would enable enterprises to integrate IoT into the life cycle of designing, developing, and deploying enterprise architectures. This integration should lead to a new generation of enterprise architectures that would foster not only a deeper retrospect on the involved interactive digital resources inside the life cycle covering data collection, information analysis, knowledge reasoning and wisdom strategies, but also a better understanding of potential threats as well as the development of new ways of aligning business and ICT resources together to improve the competitiveness of the enterprise in the background of the Artificial Intelligence (AI) trend. Whilst, on the one hand, IoT enacts many opportunities that enterprises could tap into, there are also obstacles that could undermine these opportunities, on the other hand. Some of these obstacles are lack of standards that cover both enterprise architecture and IoT, security holes that potentially exist in IoT devices making them questionable in terms of trust, security, and privacy, IoT limitations like silo restriction, computational capabilities, lack of semantic technologies that should describe IoT in a machine-understandable manner, just to mention some. Topics of Interest This workshop constitutes an opportunity for researchers from both disciplines enterprise computing (with focus on enterprise architecture) and IoT technologies to discuss how enterprises could capitalize on these technologies so, that, a new generation of business processes could spread over the emergent network of IoT. Topics for discussions include, but are not limited to: · Standards for IoT-based enterprise architecture. · Enterprise architecture for Industry 4.0. · Data science for IoT-based enterprise architecture. · Semantic technologies for IoT-based enterprise architecture. · Agentification of IoT-based enterprise architecture. · Interoperability inside and between IoT-based enterprise architecture. · Guidelines and best practices for IoT-based enterprise architecture · Privacy, trust, and security of IoT-based enterprise architecture. · Context management and awareness for IoT-based enterprise architecture · Case studies related to IoT-based enterprise architecture. COMMITTEES Organizing committee * Ejub Kajan, State University of Novi Pazar, Novi Pazar, Serbia * Zakaria Maamar, Zayed University, Dubai, UAE * Yucong Duan, Hainan University, Haikou, China Program committee * Mohammad Asim, FAST NUCES, Pakistan * Saoussen Cheikhrouhou, University of Sfax, Tunis * Marco Cremaschi, Università di Milano-Bicocca, Italy * Christophe Cruz, Université de Bourgogne, France * Luca Davoli, University of Parma, Italy * Frank Dieter-Dorloff, University of Duisburg-Essen, Germany * Qiang Duan, Pennsylvania State University, USA * Abdelrahman Elfaki, University of Tabuk, Saudi Arabia * Rik Eshuis, Eindhoven University of Technology, The Netherlands * Noura Faci, University Lyon1, Lyon, France * Francisco Falcone, Public University of Navarra, Pamplona, Spain * Veit Jahns, University of Duisburg-Essen, Germany * Soraya Kouadri Mostefaoui, Open University, UK * In Lee, Western Illniois University, USA * Sylvain Lefebvre, Toyota, Japan * Nanjangud C. Narendra, Ericsson, India * Hien D. Nguyen, University of Information Technology, Vietnam * Alexander Norta, Tallinn University of Technology, Estonia * Guadalupe Ortiz-Bellot, Cadiz University, Spain * Pitaya Poompuang, Rajamangala University of Technology Thanyaburi, Thailand * Dragan Stojanovi?, University of Niš, Serbia * Yang Xu, Fudan University, China * Chen Yang, Gent University, Belgium * Joe Zhou, IBM, USA IMPORTANT DATES AND SUBMISSION Important Dates · Paper Submission: August 16, 2021 · Authors Notification: September 13, 2021 · Camera Ready submission: September 27, 2021 · Author registration: September 27, 2021 · Workshop: October 25, 2021 Submission format The workshop welcomes conceptual and technical submissions as well submissions summarizing real case-studies. Submission should follow IEEE Computer Society Conference Proceedings Formatting Guidelines (8-10 pages for full and 4-6 pages for short) and be submitted in PDF format using the online EasyChair submission system at https://easychair.org/conferences/?conf=eaiot2021. All submissions will be refereed by at least 3 members of the international program committee. Selection criteria will include relevance, significance, impact, originality, and technical soundness. Publication The Proceedings will be published by the IEEE Computer Society Press and be available through IEEE Xplore and the IEEE Digital Library. Special Issue The guest editors have arranged a special issue in Cluster Computing Journal (https://www.springer.com/journal/10586) after the workshop. An open call for papers along with some targeted invitations will be issued in due time REGISTRATION PROCEDURE At least one author of each accepted paper should register to the venue and present the paper. Further instructions will be available in due course. 学校地址：中国海南省海口市人民大道58号　邮编：570228 网站地址: www.hainanu.edu.cn Copyright @ 2019 hainan university

1 0

Fwd: [wkwi] Call for Papers: WI2022 - Prototype Track
by Gustaf Neumann 28 Jun '21

28 Jun '21

-------- Forwarded Message -------- Subject: [wkwi] Call for Papers: WI2022 - Prototype Track Date: Mon, 28 Jun 2021 12:55:53 +0000 From: Zschech, Patrick <patrick.zschech(a)fau.de> Reply-To: Zschech, Patrick <patrick.zschech(a)fau.de> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> (Bitte entschuldigen Sie eventuelle Mehrfachzustellungen.) ** *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* www.wi22.de <http://www.wi22.de>** ** 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/>

1 0

Fwd: [AISWorld] Call for special issue papers - Intelligence Support for Mentoring Processes in Higher Education (and beyond)
by Gustaf Neumann 28 Jun '21

28 Jun '21

-------- Forwarded Message -------- Subject: [AISWorld] Call for special issue papers - Intelligence Support for Mentoring Processes in Higher Education (and beyond) Date: Mon, 28 Jun 2021 18:11:56 +0300 (EEST) From: Elvira Popescu <popescu_elvira(a)software.ucv.ro> To: aisworld(a)lists.aisnet.org Intelligence Support for Mentoring Processes in Higher Education (and beyond) Research Topic in Frontiers in Artificial Intelligence (AI for Human Learning and Behavior Change) https://www.frontiersin.org/research-topics/14009/intelligence-support-for-… Submission deadline: 30 September 2021 Mentoring is the activity of a senior person (the mentor) supporting a less experienced person (the mentee) in learning. It is based on a trustful, protected and private atmosphere between the mentor and the mentee. The goal is to develop a professional identity and to reflect the current situation. At universities, mentors are senior academics or skilled employees while mentees are mostly students with different competences. Outside universities, mentors and mentees are professionals. Intelligent tutoring systems have a long tradition, focusing on cognitive aspects of learning in a selected domain. They were successfully applied especially in such areas, where the domain knowledge can be well formalised with the help of experts. Nevertheless, in the learning process also motivations, emotions and meta-cognitive competences play a crucial role. These can be nowadays quite well recognised and monitored through big educational data and a wide spectrum of available sensors. This enables the support also for the mentoring process, which is more spontaneous, holistic and depends on the needs and interests of the mentee. Psychological and emotional support are at the heart of the mentoring relationship, underpinned by empathy and trust. Various roles and success factors for mentoring have been identified. We want to look at these aspects and investigate how they were technologically supported, in order to specify the requirements for intelligent mentoring systems. This should help us to answer the following questions: How can we design educational concepts that enable a scalable individual mentoring in the development of competences? How can we design intelligent mentoring systems to cover typical challenges and to scale up mentoring support in universities and outside? How can we design an infrastructure to exchange data between universities in a private and secure way to scale up on the inter-university level? How can we integrate heterogeneous data sources (learning management systems, sensors, social networking sites) to facilitate learning analytics supporting mentoring processes? Topics include but are not limited to: • Pedagogical models of mentoring • Peer mentoring & crowdsourcing mentoring • Workplace & career mentoring • Meta-cognitive competences of mentoring • Chatbots in Mentoring • Mixed Reality Mentoring • Wearables and Sensors for mentoring • Self-regulated mentoring, nudging & behaviour change • Mentoring analytics • Mentoring support in learning management systems • Mobile mentoring support • Design and research methodologies for mentoring support • Measuring and Analysing mentoring support • Visualization techniques for mentoring support • Motivation and gamification of mentoring support • Deep learning, machine learning and data mining in mentoring support • Recommender technologies for mentoring support (mentor-mentee matching) • Semantic technologies for mentoring support (ontologies, domain & mentoring models) • Distributed mentoring environments (cloud & p2p platforms) • Mentoring for specific domains & subjects (math, engineering, social sciences, pedagogy) • Affective computing for mentoring • Requirements of intelligent mentoring systems If you decide to submit a manuscript within our collection, your contribution will be peer-reviewed and judged on originality, interest, clarity, relevance, correctness, language, and presentation (inter alia) by our editorial board members. Immediately upon publication, your paper will be free to read for everyone, increasing visibility, and citations. We encourage authors to submit Abstracts ahead of the full manuscript submission. Topic Editors: • Ralf Klamma (RWTH Aachen University, Germany) • Milos Kravcik (German Research Center for Artificial Intelligence - DFKI, Germany) • Elvira Popescu (University of Craiova, Romania) • Viktoria Pammer-Schindler (Graz University of Technology, Austria) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

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

1 0

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

1 0

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

1 0

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

1 0

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/>

1 0

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

1 0

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

1 0

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

Cfp June 2021