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Fwd: [WI] 2nd CfP: International Workshop on Explainable and Interpretable Machine Learning (XI-ML)
by Gustaf Neumann 11 Jun '20

11 Jun '20

-------- Forwarded Message -------- Subject: [WI] 2nd CfP: International Workshop on Explainable and Interpretable Machine Learning (XI-ML) Date: Wed, 10 Jun 2020 22:27:02 +0200 From: Martin Atzmüller <m.atzmuller(a)uvt.nl> Reply-To: Martin Atzmüller <m.atzmuller(a)uvt.nl> To: kdml(a)cs.uni-kassel.de, fg-db(a)informatik.uni-rostock.de, wi(a)aifb.uni-karlsruhe.de ****** Please forward to anyone who might be interested ****** -------------------------------------------------------------- CALL FOR PAPERS International Workshop on Explainable and Interpretable Machine Learning (XI-ML) to be held on Sept. 21, 2020, Bamberg, Germany co-located with KI 2020 http://www.cslab.cc/xi-ml-2020/ -------------------------------------------------------------- Important Dates: ================ ** Submission Deadline: Jun 23, 2020 (23:59 AoE Time) ** Notification of Acceptance: Aug 04, 2020 ** Camera-Ready Versions Due: Aug 21, 2020 ** Workshop date: September 21, 2020 Objectives: =========== With the current scientific discourse on explainable AI (XAI), algorithmic transparency, interpretability, accountability and finally explainability of algorithmic models and decisions, this workshop on explainable and interpretable machine learning tackles these themes from the modeling and learning perspective; it targets interpretable methods and models being able to explain themselves and their output, respectively. The workshop aims to provide an interdisciplinary forum to investigate fundamental issues in explainable and interpretable machine learning as well as to discuss recent advances, trends, and challenges in this area. Overall, we are interested in receiving papers related to the following topics which include but are not limited to: * Rule learning for explainable and interpretable machine learning * Assessment of interpretable and explainable models * Cognitive approaches and human concept learning * Human-centered learning and explanation * Causality of machine learning models * Local pattern mining for explanation * Interpretation of black box models * Explanation of black box models * Model-agnostic explanation * Case-based explanation * Evaluation metrics * Empirical research on explainability * Regulations and legal aspects of XAI * Applications of all of the above Submissions: ============ We will solicit short position papers (2-4 pages) and peer-reviewed research papers (8-16 pages) in LNCS format. Papers should be submitted in EasyChair to https://easychair.org/my/conference.cgi?conf=xi-ml-2020 All submitted papers must * be written in English; * contain author names, affiliations, and email addresses; * be formatted according to the Springer LNCS template (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…); * be in PDF (make sure that the PDF can be viewed on any platform). The proceedings will be published in the CEUR Workshop Proceedings series. We will also consider publishing a selection of extended papers in a special issue of an international journal. Workshop Organizers: ==================== Martin Atzmueller, Tilburg University, The Netherlands Tomáš Kliegr, University of Economics Prague, Czech Republic Ute Schmid, University of Bamberg, Germany Program Committee: ================== Klaus-Dieter Althoff, University of Hildesheim, Germany Maria Bielikova, Slovak Research Center for AI - slovak.AI Henrik Boström, KTH Royal Institute of Technology, Sweden Amit Dhurandhar, IBM TJ Watson Research Center, USA Johannes Fürnkranz, University of Linz, Austria Martin Holena, Czech Academy of Sciences, Czech Republic Eyke Hüllermeier, University of Paderborn, Germany Kristian Kersting, TU Darmstadt, Germany Grzegorz Nalepa, Jagellonian University, Poland Mykola Pechenizkyi, TU Eindhoven, The Netherlands Marc Plantevit, University Lyon, France Eric Postma, Tilburg University, The Netherlands Celine Rouveirol, Université Sorbonne Paris Nord, France Stefano Teso, KU Leuven, Belgium -- ----------------------------------------------------------------------- Assoc. Prof. Dr. habil. Martin Atzmueller Associate Professor, Tilburg University | https://martin.atzmueller.net Head of the Computational Sensemaking Lab (CSLab) | http://www.cslab.cc Email: m.atzmuller(a)uvt.nl | Phone: +31-(0)13 466 4736 -- 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] [CFP] 1st Workshop on Cyber Forensics and Advanced Threat Investigations
by Gustaf Neumann 11 Jun '20

11 Jun '20

-------- Forwarded Message -------- Subject: [WI] [CFP] 1st Workshop on Cyber Forensics and Advanced Threat Investigations Date: Thu, 11 Jun 2020 09:39:18 +0100 From: CyberSecurity UK <scholarshipchile(a)gmail.com> Reply-To: CyberSecurity UK <scholarshipchile(a)gmail.com> To: wi(a)aifb.uni-karlsruhe.de 1st International Workshop on Cyber Forensics and Advanced Threat Investigations in Emerging Networks (CFATI 2020) https://cfati.conceptechint.net/index.html in conjunction with EUSPN-2020 conference Nov 2 - 5, 2020 , Madeira, Portugal Important dates Paper Submission: 30th June, 2020 Acceptance Notification: 22nd Aug, 2020 Final Manuscript Due: 30th Aug, 2020 Scope of the workshop: The evolve of networked technologies, such as the internet of things and cyber-physical systems, possess challenges base on the highly limited capabilities of their infrastructure devices and the type of data that can be processed by these devices. Complicated efforts are required in suitable and timely manners against any detected threats. Moreover, new frameworks are required to collect and preserve potential evidential data in suitable and timely manners as well. To guarantee proper cyber-defenses and strategies against the expanding landscape of criminal activities as well as rapidly advancing network technologies such as SDN or 5G and 6G. There is a growing need for new methodologies, tools, and techniques, capable of extracting, preserving, and analyzing different evidence trails in various networked services and devices such as routers, firewalls, web proxies, and network monitoring tools. Additionally, there is also a growing need for research in new systems that are capable of analyzing network traffic, netflows, and systems logs. Satisfying these demands will aid in reconstructing the timeline of the cyber-crime/attack under investigation and, possibly, the identification of the potential actor(s). The main motivation for this Workshop is to bring together researchers and practitioners working on cyber forensics and threat investigations for emerging networks to disseminate current research issues and advances. Original technical papers describing new, state-of-the-art research will be considered. The Workshop welcomes submissions that evaluate existing research results by reproducing experiments. The aim of this workshop is to provide insight for the discussion of the major research challenges and achievements on various topics of interest. CFATI 2020 will be held in conjunction with the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) which is co-organized on November 2-5, 2020, Madeira, Portugal. Papers on practical as well as on theoretical topics and problems in various topics related to cyber forensics and threat investigations are invited, with special emphasis on novel techniques and tools to collect data from networked devices and services in emerging networks (such as the ones can be found in cyber-physical systems and Internet of things). Topics include (but are not limited to): · Advanced threat investigations, forensic and anti-forensic techniques · Cooperative and distributed forensics and threat investigations · Data exfiltration techniques from networked devices and services (e.g. cyber-physical systems, and Internet-of-Things) · Attack detection, traceback, and attribution in SDN, 5G, and 6G · Methods for reconstruction of internet activities in SDN, 5G, and 6G · Forensics and threat investigations in IoT · Forensics and threat investigations in peer-to-peer, social, and cloud networks · Vulnerability & threat detection and mitigation techniques for networked services · Novel large-scale investigations techniques to analyze intelligence data sets and logs · Tools and services for cyber forensics and threat investigations · VoIP forensics, VoIPoW forensics We also encourage contributions describing innovative work in the realm of cybersecurity, cyber defense, and digital crimes. SUBMISSION AND PROCEEDINGS All papers accepted for workshops will be included in the EUSPN 2020 proceedings, which will be published by Elsevier. The authors must follow Elsevier guidelines as given on the EUSPN 2020 website. The number of pages for workshop papers is limited to 6 pages https://cfati.conceptechint.net/submissions.html Paper format The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Latex, Template Generic, Elsevier. Submission Authors should submit their contributions here, electronically in PDF format. https://easychair.org/conferences/?conf=cfati2020 The submission processes will be managed by easychair.org. If you have used this system before, you can use the same username and password. If this is your first time using EasyChair, you will need to register for an account by clicking the "I have no EasyChair account" button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by the submission due date. In case of any problem with submission, please contact the workshop chair for assistance https://cfati.conceptechint.net/contact-us.html Selective outstanding papers Selected papers presented at the workshop, after further revision, will have the opportunity to be published in special issues in indexed and/or high impact factor journals (details will be put online shortly). All workshops accepted papers will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series (online). Procedia Computer Sciences is hosted on www.elsevier.com and on Elsevier content platform ScienceDirect, and will be freely available worldwide. All papers in Procedia will also be indexed by Scopus and Engineering Village (Ei). This includes EI Compendex. All accepted papers will also be indexed in DBLP. If you have any further questions, please contact the workshop organizers via https://cfati.conceptechint.net/contact-us.html -- 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: [computational.science] CFP - HPBench 2020
by Gustaf Neumann 10 Jun '20

10 Jun '20

-------- Forwarded Message -------- Subject: [computational.science] CFP - HPBench 2020 Date: Fri, 29 May 2020 12:14:16 +0300 From: Samar Aseeri <samar.aseeri(a)kaust.edu.sa> To: hpc-announce(a)mcs.anl.gov, cloud-announce(a)lists.wikimedia.org, publicity(a)hipeac.net, tccc-announce(a)computer.org, announcements(a)ubicomp.org, commsoft(a)ieee.org, computational.science(a)lists.iccsa.org, distributed-computing-announce(a)datasys.cs.iit.edu, cistc-distribution(a)comsoc.org, tcmc-announce(a)computer.org, announce(a)ipdps.org, SEWORLD(a)sigsoft.org, BIGDATA(a)lists.drexel.edu, tccc-announce(a)comsoc.org, latincolleagues(a)mailman.ufsc.br, authors(a)mailman.ufsc.br, mycolleagues(a)mailman.ufsc.br, tcpp-announce(a)computer.org, rsd-forum(a)cines.fr, sbc-l(a)sbc.org.br Dear Sir, dear Madam, Please, can you pass this announcement also to interested colleagues. Kind regards ========================================================================== CALL FOR PAPERS The 7th Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2020) As part of the International Conference on High Performance Computing & Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or http://conf.cisedu.info/rp/hpcs20 Barcelona, Spain ========================================================================== Benchmarking is an essential aspect of modern high performance computing and computational science, and as such, it provides a means for quantifying and comparing the performance of different computer systems. With a large combination of aspects to benchmark, all the way from the capability of a single core, to cluster configuration, and to various software configurations, the benchmarking process is more of an art than science. However, the results of this process drive modern science and are vital for the community to draw sensible conclusions on the performance of applications and systems. This special session focuses on research work aimed at benchmarking modern parallel and distributed systems for addressing a number of real world problems. As such, contributions concerning the definition of new open platforms, new benchmarks to match modern architectural evolutions, studies on the aspects of benchmarking different aspects of systems (from raw runtime performance to energy consumption to energy consumed per data movement) and mathematical foundations of benchmarking are sought. IMPORTANT DATES : Papers Due: 1 July 2020 Author Notification: 22 July 2020 Camera-Ready Submission: 10 August 2020 Conference Dates: 26-30 October 2020 TOPICS : The HPBench topics of interest include, but are not limited to -Open Platforms for Parallel and Distributed Application Benchmarking and Optimization -Benchmarking on the Cloud -Benchmarking of Clusters, Supercomputers, and large-scale systems -Benchmarking the Performance of I/O -Benchmarking of Energy and Energy Efficiency -Benchmarking Web Services -Virtualization for Distributed Benchmarking -Data Distribution for Benchmarking -Performance results of benchmarks on modern platforms -Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems -Benchmarking of Parallel Scientific and Business Applications -Performance of Benchmarking Applications (Eg: NAS parallel benchmarks) -Techniques, frameworks and results concerning the benchmarking of library packages -Tools and frameworks for performance modeling systems and applications -Tools and frameworks for simulation, measurement and monitoring -Performance Measurements, Monitoring, Modeling and Simulation -Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike) -Mathematical Foundations of Benchmarking, Metrics and Heuristics GENERAL CHAIRS : Samar Aseeri, King Abdullah University of Science and Technology, Saudi Arabia Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany TECHNICAL PROGRAM COMMITTEE: Cosimo Anglano, Universitá del Piemonte Orientale, Italy Fabio Baruffa, Intel, Germany Suren Byna, Lawrence Berkeley National Laboratory, California, USA Paul Carpenter, Barcelona Supercomputing Center, Spain Douglas Doerfler, Lawrence Berkeley National Laboratory, USA Zhiyi Huang, University of Otago, New Zealand Clay Hughes, Sandia National Laboratories, USA Aleksandar Ilic, Universidade de Lisboa, Portugal Bok Jik Lee, Seoul National University, Korea Ravi Reddy Manumachu, University College Dublin, Ireland Dana Petcu, West University of Timisoara, Romania Ivan Rodero, Rutgers University, USA ********************************************************************* For more information see http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h… Kind Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

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Fwd: [AISWorld] CFP - HICSS-54: Minitrack on Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations
by Gustaf Neumann 10 Jun '20

10 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP - HICSS-54: Minitrack on Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations Date: Thu, 4 Jun 2020 10:08:16 +0000 From: Zurada,Jozef M. <jozef.zurada(a)louisville.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CALL FOR PAPERS Hawaii International Conference on System Sciences (HICSS-54), Kauai, Hawaii, January 5-8, 2021 http://www.hicss.org/ Collaboration Systems and Technologies Track Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations Mini-track<http://hicss.hawaii.edu/tracks-52/collaboration-systems-and-technologies/#1…> Mini-track co-chairs: Celina M. Olszak, Jozef Zurada, Dilek Cetindamar Kozanoglu The development of the Internet, social media, distributed databases, and a variety of mobile devices has caused a huge increase in data. Much of this diverse data in unstructured and structured forms has a high business value and, if properly utilized, can become an important organizational asset. It contains various information about customers, competition, labor market, and development trends for industries, products and services, as well as the public and political mood. For innovative and sustainable development, it is essential for organizations to utilize this data to increase sales, identify future opportunities and new markets, outperform the competition, enhance products and services, recruit talent, improve operations, perform forecasting, protect the brand, and identify areas for improvement to name a few. However, many organizations make a limited use of this valuable data available to them either because they lack necessary tools or do not understand the value of this d ata. The main objective of this mini-track is to provide organizations a theoretical, conceptual, and applied grounded discussion of Business Intelligence and Big Data (BI & BD) to aid in innovative and sustainable development as well as effective decision-making. This mini-track addresses the following questions: * What is the substance (nature) of BI & BD? * What is the added-value of BI & BD to development of organizations and their decision-making process? * How to support organizational creativity, innovation and decision-making using BI & BD? * How to design intelligent information systems and build decision support systems based on BI & BD? * How to use BI & BD tools and solutions to achieve innovative and sustainable development of organizations? This mini-track invites papers focused on, but not limited to: * Theoretical foundations for BI & BD development * BI & BD to improve innovative and sustainable development of organizations; * Challenges and opportunities of applying BI & BD for innovative and sustainable development of organizations * Development of BI & BD analytics capability * BI & BD driven strategies * BI & BD-enabled business transformation * Business value of BI & BD * BI & BD engineering for business model innovation * Practical approaches, solutions, methods, and tools to foster innovative and sustainable development of organizations by using of BI & BD * Cognitive technologies in organizations * Social networks Important dates (https://hicss.hawaii.edu/): * July 15, 2020 (Hawaii Time) Submit full manuscripts - the review is double-blind * August 17, 2020 Acceptance notice is emailed to authors by the review system * September 22, 2020 Submit final paper for publication in the conference proceedings * January 5-8, 2021 HICSS Conference Mini-track Co-Chairs: Celina M. Olszak (Primary Contact) University of Economics in Katowice, Poland celina.olszak(a)ue.katowice.pl<mailto:celina.olszak@ue.katowice.pl> Jozef Zurada University of Louisville, USA jozef.zurada(a)louisville.edu<file:///C:/Users/jmzura01/Desktop/Backup%20-%20Desktop%20-%20Oct%202%202019/HICSS-54%20-%20Minitrack/jozef.zurada@louisville.edu> Dilek Cetindamar Kozanoglu University of Technology Sydney, Australia Dilek.CetindamarKozanoglu(a)uts.edu.au<mailto:Dilek.CetindamarKozanoglu@uts.edu.au> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications
by Gustaf Neumann 10 Jun '20

10 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Date: Fri, 5 Jun 2020 11:19:53 +0800 From: Jun Feng <junfeng989(a)gmail.com> [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020) 14-16 December 2020, Fiji http://cse.stfx.ca/~dependsys/2020/index.html DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= All accepted papers will be published by IEEE Computer Society Press (indexed by EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be be published in 8+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 10.716) SI on Fusion from Big Data to Smart Data 2. Information Fusion (IF: 10.716) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/specia… 3. IEEE Transactions on Industrial Informatics (IF: 7.377) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrati… 4. Future Generation Computer Systems (IF: 5.768) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-f… 5. Journal of Cloud Computing (IF: 2.14) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud… 6. Software: Practice and Experience (IF: 1.931) SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_s… 7. MDPI Electronics (IF: 1.764) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 8. IEEE/CAA Journal of Automatics Sinica SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_e… * More special issues will be added later. ================== Important Dates ================== Workshop Proposal/Special Session Due: July 01, 2020 Submission Deadline: Aug 01, 2020 Authors Notification Date: Sept 01, 2020 Final Manuscript Due: Oct 15, 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts).You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.ht… Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 E-Mail: junfeng989(a)gmail.com WeChat: junfeng10001000 _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] CfP: 2nd Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence 2020) @ Models 2020
by Gustaf Neumann 10 Jun '20

10 Jun '20

-------- Forwarded Message -------- Subject: [WI] CfP: 2nd Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence 2020) @ Models 2020 Date: Wed, 10 Jun 2020 09:29:04 +0200 From: Manuel Wimmer <manuel.wimmer(a)jku.at> Reply-To: Manuel Wimmer <manuel.wimmer(a)jku.at> To: wi(a)lists.kit.edu -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 2nd Workshop on Artificial Intelligence and Model-driven Engineering (MDE Intelligence 2020) 18-20 October 2020 Montreal, Canada https://mde-intelligence.github.io/ -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- -=-=-=-=-=-=-=- Theme & Goals -=-=-=-=-=-=-=- Artificial Intelligence (AI) has become part of everyone's life. It is used by companies to exploit the information they collect to improve the products and/or services they offer and, wanted or unwanted, it is present in almost every device around us. Lately, AI is also starting to impact all aspects of the system and software development lifecycle, from their upfront specification to their design, testing, deployment and maintenance, with the main goal of helping engineers produce systems and software faster and with better quality while being able to handle ever more complex systems. The hope is that AI will help dealing with the increasing complexity of systems and software. There is no doubt that MDE has been a means to tame until now part of this complexity. However, its adoption by industrial still relies on their capacity to manage the underlying methodological changes including among other things the adoption of new tools. To go one step further, we believe there is a clear need for AI-empowered MDE, which will push the limits of "classic" MDE and provide the right techniques to develop the next generation of highly complex model-based system and software systems engineers will have to design tomorrow. This workshop provides a forum to discuss, study and explore the opportunities and challenges raised by the integration of AI and MDE. We would like to address topics such as how to choose, evaluate and adapt AI techniques to Model-Driven Engineering as a way to improve current system and software modeling and generation processes in order to increase the benefits and reduce the costs of adopting MDE. We believe that AI artifacts will empower the MDE tools and boost hence the advantages, and then adoption, of MDE at industry level. At the same time, AI is software (and complex software, in fact), we also believe that such an AI-powered MDE approach will also benefit the design of AI artifacts themselves and specially to face the challenge of designing "trustable" AI software. Last but not least, although AI is the most popular branch of computer science to create and simulate intelligence, we also believe that any kind of technique that provides human cognitive capabilities and helps creating "intelligent" software are also in the scope of this workshop. An example would be the knowledge representation techniques and ontologies that can be useful on its own or support other kinds of AI techniques. -=-=-=-=-=-=-=-=-=- TOPICS OF INTEREST -=-=-=-=-=-=-=-=-=- Model-driven engineering (MDE) and artificial intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-pollination and collaboration. There are at least two ways in which such integration—which we call MDE Intelligence—can manifest: * Artificial Intelligence for MDE. MDE can benefit from integrating AI concepts and ideas to increase its power: flexibility, user experience, quality, etc. For example, using model transformations through search-based approaches, or by increasing the ability to abstract from partially formed, manual sketches into fully-shaped and formally specified meta-models and editors. * MDE for Artificial Intelligence. AI is software, and as such, it can benefit from integrating concepts and ideas from MDE that have been proven to improve software development. For example, using domain-specific languages allows domain experts to directly express and manipulate their problems while providing an auditable conversion pipeline. Together this can improve trust in and safety of AI technologies. Similarly, MDE technologies can contribute to the goal of explainable AI. Topics of interest for the workshop include, but are not limited to: AI for MDE =-=-=-=-=-=- * Application of (meta-heuristic) search to modelling problems; * Machine learning of models, meta-models, concrete syntax, model transformations, etc.; * AI planning applied to modelling, meta-modelling, and model management; * Modeling assistants such as bots, chatbots and virtual assistants/recommenders supporting diverse modeling tasks; * Model inferencers and automatic model generators from datasets; * Self-adapting code generators; * AI-based user interface adaptation for modeling tools; * AI with human-in-the-loop for modeling; * Semantic reasoning platforms over domain-specific models; * Semantic integration of design-time models with runtime data; * General-knowledge or domain-specific ontologies; * Probabilistic models; * Use of AI techniques in data, process and model mining and categorisation; * Natural language processing applied to modelling; * Perception and modeling. MDE for AI =-=-=-=-=-=- * Domain-specific modelling approaches for AI planning, machine learning, agent-based modelling, etc.; * Model-driven processes for AI system development; * MDE techniques for explainable AI; * Using models for knowledge representation; * Code-generation for AI libraries and platforms; * Model-based testing of AI components. General =-=-=-=- * Tools for combining AI and MDE; * Case studies in MDE Intelligence; * Challenge problems to be addressed by combining AI and MDE techniques. =-=-=-=-=-=- SUBMISSIONS =-=-=-=-=-=- Papers will follow the same style and format of the main tracks of the conference (please check them here). We ask for two type of contributions: 1) Work-in-progress papers: 10 pages, 2) Vision papers, experience papers or demos: 5 pages. Submissions must be uploaded through EasyChair in the following link https://easychair.org/conferences/?conf=mdeintelligence2020. Each submission will be reviewed by at least 3 members of the program committee. They will value the relevance and interest for discussions that will take place at the workshop. Accepted papers will be published in the ACM Satellite Event Proceedings. =-=-=-=-=-=-=-=-= IMPORTANT DATES =-=-=-=-=-=-=-=-= Abstract submission: July 15, 2020 Paper submission: July 22, 2020 Notification: August 21, 2020 Camera-ready: August 28, 2020 =-=-=-=-=-=-=-=-=-= PROGRAM COMMITTEE =-=-=-=-=-=-=-=-=-= Gregor Engels (University of Paderborn) Moharram Challenger (University of Antwerp) Shekoufeh Kolahdouz Rahimi (University of Isfahan) Aurora Ramírez (University of Córdoba) Gunter Mussbacher (McGill University) Shaukat Ali (Simula Research Laboratory) Nelly Bencomo (Aston University) Francisco Chicano (University of Málaga) Daniel Strüber (Chalmers University & University of Gothenburg) Adrian Rutle (Western Norway University of Applied Sciences) Daniel Varro (McGill University & Budapest University of Technology and Economics) Talbi El-Ghazali (University of Lille) Gabriele Taentzer (Philipps-Universität Marburg) Bernhard Rumpe (RWTH Aachen University) Betty Cheng (Michigan State University) Shuai Li (CEA LIST) Sandeep Neema (Vanderbilt University) -=-=-=-=-=- Contact -=-=-=-=-=- For additional information, clarification, or answers to questions, please contact the Organizing Committee (Loli Burgueño, Steffen Zschaler and Manuel Wimmer) by email at mdeintelligence2020(a)easychair.org <mailto:mdeintelligence2020@easychair.org> -- Manuel Wimmer Full Professor Head of Department Business Informatics – Software Engineering https://www.se.jku.at Head of the Christian Doppler Laboratory for Model-Integrated Smart Production (CDL-MINT) https://cdl-mint.se.jku.at Program Director Business Informatics (Master) https://www.jku.at/en/business-school Johannes Kepler University Linz Altenberger Straße 69 Science Park 3, Room S3 0077 4040 Linz, Austria -- 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] ** UPDATE: SIGITE 2020 Conference CFP Deadline extended to July 1st, 2020. **
by Gustaf Neumann 09 Jun '20

09 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] ** UPDATE: SIGITE 2020 Conference CFP Deadline extended to July 1st, 2020. ** Date: Tue, 9 Jun 2020 18:26:01 +0000 From: Deepak Khazanchi <khazanchi(a)unomaha.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> The 21st ACM Annual Conference on Information Technology Education (SIGITE) - VIRTUAL SIGITE2020 (October 7 - 9, 2020) http://SIGITE2020.SIGITE.ORG Hosted by: University of Nebraska at Omaha (USA) ** UPDATE: CFP Deadline extended to July 1st, 2020. ** Dear Friends and Colleagues: At the request of prospective contributors, the program committee has extended the conference paper/abstract SUBMISSION DEADLINE to JULY 1st, 2020. However, we encourage you to get your work submitted as soon as possible so we can provide a detailed peer review. As a reminder, we welcome submissions on IT research areas in general and about IT education in the following categories: Papers, panels, workshops, extended abstracts and big ideas in IT education. The conference provides a forum for sharing and developing ideas relating to Information Technology (IT) research, education, applications, IT industry-academia relationships, and our roles as professionals, educators, teachers, and advocates for the effective use of information technology. All submitted contributions will go through a peer review process and once accepted will be part of an official ACM proceedings for full papers, workshop descriptions and abstracts. For more information about the CFP and submission details please visit the conference website<http://sigite2020.sigite.org/> or review the PDF<https://www.unomaha.edu/college-of-information-science-and-technology/sigit…>. Also, if you would like to be an academic or industry sponsor of the conference, we have a variety of opportunities to engage on the "supporters" page of the web site. Deepak, George and Harvey (Deepak Khazanchi, George Grispos and Harvey Siy) Conference and Program Chairs, SIGITE Annual Conference 2020 http://SIGITE2020.SIGITE.org Deepak Khazanchi, Ph.D Associate Dean for Academic Affairs Community Engagement and Internationalization Officer Professor of Information Systems & Quantitative Analysis Director, Executive Master's of Science in Information Technology (EMIT) Program Fulbright Specialist (2014), University of Agder (Norway) College of Information Science & Technology University of Nebraska at Omaha Personal URL: http://dkhazanchi.com<http://dkhazanchi.com/> Stay Safe - Do the five things<https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-…> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: June 15
by Gustaf Neumann 09 Jun '20

09 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: June 15 Date: Tue, 9 Jun 2020 10:59:17 +0200 From: Ludovico Montalcini <ludovico.montalcini(a)gmail.com> * Apologies for multiple copies. Please forward to anybody who might be interested * ****** Register Now! The last remaining 15 seats! ******* June 9: Hurry up! The last remaining 15 seats! Register Now! 6 Days Left: Book your Early Bird Seats. Still a few Seats left for the ACDL 2020 Course. Hurry up and register! Only 15 seats are available! ********************************************************** NEW LECTURERS: * Guido Sanguinetti, School of Informatics - University of Edinburgh, UK * Luca Zammataro, Yale University, USA ACDL 2020 an On-Site & On-Line Event! We have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation. We would be delighted if all participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The advanced course, hence, will be held in presence with virtual rooms for participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://acdl2020.icas.xyz E: acdl(a)icas.cc FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ Early registration deadline: June 15 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: June 15 DEADLINES: Early Registration Deadline: June 15. Oral/Poster Presentation Submission Deadline: June 15. Late Registration: from June 16 to July 10 (last date for registration). Accommodation Reservation at the Certosa di Pontignano: July 10. Notification of Decision for Oral/Poster Presentation: June 30. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK Lecture 1: An Introduction to Deep Reinforcement Learning Lecture 2: Milestones in Large-scale Reinforcement Learning: AlphaZero, OpenAI Five and AlphaStar Lecture 3 – Tutorial: JAX, A new library for building neural networks * Pierre Baldi, University of California Irvine, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Michael Bronstein, Twitter & Imperial College London, UK Lecture 1: Lecture 2: Lecture 3: * Sergiy Butenko, Texas A&M University, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Marco Gori, University of Siena, Italy Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA Lecture 1: VAEs and Normalizing Flows: An Introduction to Modeling High-Dimensional Data with Deep Learning Lecture 2: Flow Contrastive Estimation: An (Un?)-Holy Trinity of Energy-Based Models, Likelihood-Based Models and GANs Lecture 3: Finding Deeply Hidden Truths: Breakthroughs in Nonlinear Identifiability Theory * Risto Miikkulainen, University of Texas at Austin, USA Lecture 1: Evolving Neural Networks for POMDP Tasks Lecture 2: Evolutionary Neural Architecture Search Lecture 3: Evolutionary Surrogate-Assisted Optimization * Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * José C. Principe, University of Florida, USA Lecture 1: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video – Requisites for a Cognitive Architecture Lecture 2: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video – Putting it all together Lecture 3: Beyond Backpropagation: Cognitive Architectures for Object Recognition in Video – Modular Learning for Deep Networks * Guido Sanguinetti, School of Informatics - University of Edinburgh, UK Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA * Mihaela van der Schaar, University of Cambridge, UK Lecture 1: Machine Learning for Medicine – a new research frontier Lecture 2: Causal Inference and Estimating Individualized Treatment Effects Lecture 3: From Black Boxes to White Boxes: Machine Learning Interpretability, Explainability and Trustworthiness * Luca Zammataro, Yale University, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA TUTORIAL SPEAKERS: * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 will be The Certosa di Pontignano — Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ Anyone interested in participating in ACDL 2020 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you (physically or virtually) in Tuscany in July! ACDL 2020 Organizing Committee. E: acdl(a)icas.cc W: https://acdl2020.icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] HICSS-54 Call for papers - Big Data and Analytics: Pathways to Maturity mini track
by Gustaf Neumann 09 Jun '20

09 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] HICSS-54 Call for papers - Big Data and Analytics: Pathways to Maturity mini track Date: Tue, 9 Jun 2020 17:43:57 +0000 From: Alberto Espinosa <alberto(a)american.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Title: Big Data and Analytics: Pathways to Maturity "The first and original Big Data minitrack at HICSS" This mini track focuses on the use of big data and analytics to enable businesses and organizations to optimize their operational practices, improve their decision-making, and better understand and provide more effective services to their customers and clients. We seek papers in all areas of big data and analytics, including storage, management, education, usage case studies, innovative applications, and enabling technology. Relevant papers on the development of strategy for deploying big data and analytics in distributed organizations, the effects of big data and analytics on organizational behavior, the governance and management of big data, the evaluation of Big Data's contribution to business operations, the development of big data analytics are sought. Papers are sought on developing an analytic cadre, including curriculum concepts, skills and training, and metrics and measurement. In our book titled: "Obtaining Value from Big Data for Service Delivery, 2nd Edition" we presented a knowledge framework to serve as a basis for grounding Big Data and Business Analytics curricula. The framework is composed of key knowledge layers, including: basic foundations (e.g., mathematics, statistics, software programming, big data architectures); analytics/big data (e.g., descriptive, predictive, prescriptive and visual analytics); functional domain of analysis (e.g., marketing, healthcare, accounting forensics, etc.); and managerial, strategic and organizational aspects (e.g., data governance, security, privacy, human resource management, metrics for the business value of big data and analytics investments, etc.). To advance knowledge in big data and analytics, we must develop active research agendas in all four layers. We seek research papers on any of these four layers and also those that address the structure and evaluation of curriculum design, implementation and evaluat ion for big data and analytics. Papers are solicited in several areas, including, but not limited to the following: * Managerial, governance, lifecycle, strategic and organizational aspects of big data and analytics, big data repositories and projects, including data governance * Graph analytics - both syntactic and semantic - that play a big role in the exploitation of social media data * Advanced analytics emphasizing specific functional domains - business, scientific, and social science, visual analytics and non-numeric analysis models and their implementation * Advances in technology - processing, storage, analytics - for the Exabyte/ExaFLOP Age * Scalable semantic annotation and reasoning across big data stores * Metrics to assess the impact of big data in business, scientific, and government decision-making. * Educational and body of knowledge frameworks on big data, analytics and data science. Papers presenting case studies, infrastructure and technology advances, theoretical perspectives and emerging concepts at the petascale and beyond, are also sought. An expanded CfP is available from Steve Kaisler. We especially encourage graduate students to submit papers as well. If you wish to discuss a paper concept before submitting a paper, please contact Steve Kaisler or Frank Armour. We will be happy to discuss your paper concept with you. Key dates: July 15 - Papers due August 23 - Notifications to authors September 22 - Final manuscripts due January 4 - Publications of full conference proceedings Kindly, Minitrack Co-Chairs: Stephen H. Kaisler, D.Sc. (Skaisler1(a)comcast.net<mailto:Skaisler1@comcast.net>), SHK & Associates (primary) Frank Armour, Ph.D. (farmour(a)american.edu<mailto:farmour@american.edu>), Kogod School of Business, American University J. Alberto Espinosa, Ph.D. (alberto(a)american.edu<mailto:alberto@american.edu>), Kogod School of Business, American University _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] HICSS-54 CfP - Data, Text and Web Mining for Business Analytics
by Gustaf Neumann 09 Jun '20

09 Jun '20

-------- Forwarded Message -------- Subject: [AISWorld] HICSS-54 CfP - Data, Text and Web Mining for Business Analytics Date: Tue, 9 Jun 2020 16:22:50 +0000 From: Delen, Dursun <dursun.delen(a)okstate.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Dear Colleague, As the co-chairs for the Data, Text and Web Mining for Business Analytics minitrack at the 54th Hawaii International Conference on System Sciences (HICSS-54) which will be held at the Grand Hyatt, Kauai on January 5-8, 2021, we would like to personally invite you to submit a paper and/or serve as a reviewer. We are sending you this email because we are aware that you have a research interest in knowledge discovery (data, text or Web mining), business analytics, data science, and/or big data analytics for managerial decision support and/or have published in this area. A representative list of general topic areas covered in this minitrack (which is not meant to be complete or comprehensive) includes: * New methods and algorithms of data/text mining and advanced analytics * The process and new methodologies of conducting data/text mining * Novel deep learning methodologies and their applications (image, voice, and text analytics) in solving business problems * Novel applications in sentiment analysis, social analytics, media analytics and data stream miming * Ethical and privacy issues in data/text mining * Novel applications of data mining for better decision making * Data pre-processing related aspect of data/text mining, such as data characterization, data cleaning, data integration, data sampling, data reduction, data visualization, etc. * Design issues, challenges and opportunities in agile analytics * Emerging technologies and techniques, investment and governance mechanisms, coproduction methodologies * Evolutions to scoring and data mining algorithms for advanced analytics * In-database vs. in-memory advanced analytics capabilities * Visualization for supporting advanced analytics * People and culture issues in managing advanced analytics * Critical success factors for advanced analytics If you are interested in submitting a manuscript for review please note the following extended deadlines (taken from the HICSS Website (https://hicss.hawaii.edu/): July 15 Paper submission deadline. Submit full manuscripts for review (by 11:59 pm HST). The review is double-blind; therefore, this submission must not include author names. August 23 Notification of Acceptance/Rejection. Acceptance notices are emailed to authors by the Review System. At least one author of each accepted paper must immediately make plans to attend the conference, including initiating fiscal, visa, or other travel guarantees. September 22 Deadline for Final Manuscript. Submit Final Paper for Publication by 11:59 pm HST. October 1 Deadline for at least one author of the paper to register for HICSS-54. At least one author of each paper should register by this date in order secure publication in the Proceedings. If you are willing to be a reviewer, please notify us as soon as you can, and indicate the number of manuscripts (1, 2, 3, or more) that you would be willing to review. Also, if you have any questions please feel free to contact any one of us. Sincerely, Dursun Delen (Primary Contact) Oklahoma State University dursun.delen(a)okstate.edu<mailto:dursun.delen@okstate.edu> Behrooz Davazdahemami University of Wisconsin - Whitewater davazdab(a)uww.edu<mailto:davazdab@uww.edu> Hamed Majidi Zolbanin University of Dayton hmajidizolbanin1(a)udayton.edu<mailto:hmajidizolbanin1@udayton.edu> _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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