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Fwd: [NEW] Call for Papers and Remote Event Proposals
by Gustaf Neumann 27 Mar '20

27 Mar '20

-------- Forwarded Message -------- Subject: [NEW] Call for Papers and Remote Event Proposals Date: Fri, 27 Mar 2020 03:50:47 +0000 From: IIIS 2020 Summer Conferences <cfp-summer(a)2020conf-iiis.org> To: Gustaf.Neumann(a)wu-wien.ac.at IIIS 2020 Conferences Dear Gustaf Neumann, We are sending you this email to invite you to contribute to any of the topics suggested in the *24^th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2020*, by submitting an article or a proposal for a remote event in the context of WMSCI 2020 (http://www.iiis-2020conf.org/wmsci), to be held on July 12 - 15, 2020, with its main venue being at Orlando, Florida, USA. Because of the coronavirus (COVID-19), we are including for this conference the possibility of organizing remote events (tracks or sessions) at other venues, which may be in your own university/organization or as virtual events via virtual participation. All submissions should be sent to be reviewed by the two-tier reviewing methodology, which we have applied since 2006. If you have an interest in this possibility, please send an email to *remote-events [at] 2020conf-iiis.org*, proposing the topic, its abstract and your micro CV. If you need more specific information, please use the same email address. The *deadline to submit your proposal* *for a remote event* is: *April 8^th , 2020.* If you are not interested in organizing a remote event, you can still submit an article to WMSCI 2020 or to any of the other conferences that are being held jointly with it. * The 24^th World Multi-Conference on Systemics, Cybernetics and Informatics: *WMSCI 2020* * The 18^th International Conference on Education and Information Systems, Technologies and Applications: *EISTA 2020* * The 14^th International Multi-Conference on Society, Cybernetics and Informatics: *IMSCI 2020* *To submit an article to any of these three conferences*, or to any of the special tracks held in its context, go to: http://www.iiis-2020conf.org/conferences-summer2020, and select your respective event. The *deadlines to submit an article* to those conferences are as follows: * *April 14^th , 2020*: Article submissions * *May 19^th , 2020*: Notifications of acceptance * *June 10^th , 2020*: Uploading of camera-ready or final version Keynote speakers will be selected from registered authors whose submissions are among the best according to their external reviewers. The identification of the best submissions will be based on the quantitative and qualitative evaluation of the reviewers and the percentage of reviewers recommending the acceptance of the submission as related to all the reviewers who made their respective reviews. *For this reason, we recommend you to submit your paper early*. Registered authors of accepted submissions will be invited to make an *additional presentation with no additional charge *, if such a presentation is oriented to inter-disciplinary communication. These authors will also have the option of writing an invited paper associated with their respective invited presentation. Furthermore, the best papers presented at the conference, as selected by the audiences of each respective session, will also be published in the Journal of Systemics, Cybernetics, and Informatics (JCSI). JSCI is indexed in EBSCO, Cabell, DOAJ, and Google Scholar and is listed in Cabell Directory of Publishing Opportunities and in Ulrich's Periodical Directory. For the past 24 years, professors, students, and researchers from all over the world have come together at our conferences to present research and engage in interdisciplinary discussion. It is this interdisciplinary focus that allows our attendees to discover new viewpoints they otherwise would not have discovered in a uni-disciplinary conference. These new viewpoints become intellectual seeds which, as they slowly bloom over time, expand their understanding of their own respective disciplines. Many of our participants look forward to our conferences every year as they allow them to publish their papers, share their life's work, create a network of influential and like-minded colleagues, and expand their ever-growing understanding of their respective disciplines, as well as learn about new disciplines. Some testimonials can be read clicking on the button "TESTIMONIALS" placed at the top of the left column of each of the conference web sites. We hope to continue creating and expanding inter-disciplinary networks while facilitating the ever-growing expansion of each individual discipline represented at our conferences. We know this is only possible with contributions from people such as yourself. It is for this reason that we would greatly appreciate your contribution to the conference. You are also welcome to forward this message to any appropriate colleagues and/or groups whose contributions would further promote the interdisciplinary growth of all the various disciplines represented in our conferences. Thank you for your time, and we look forward to your contribution. Respectfully, WMSCI 2020 Organizing Committee If you wish to be removed from this mailing list, you may unsubscribe here <http://www.iiis-2020conf.org/Unsubscribe/Unsubscribe.asp?e=Gustaf%2ENeumann…>. If you have difficulty with the unsubscribe link, you may also send an e-mail to remove(a)2020conf-iiis.org <mailto:remove@2020conf-iiis.org> with REMOVE MLCONFERENCES in the subject line. Address: 13750 West Colonial Dr, Suite 350 - 408, Winter Garden, Florida 34787, USA.

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Fwd: [AISWorld] HICSS 2021 [CFP] Explainable Artificial Intelligence (XAI) mini track
by Gustaf Neumann 26 Mar '20

26 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] HICSS 2021 [CFP] Explainable Artificial Intelligence (XAI) mini track Date: Thu, 26 Mar 2020 08:29:05 +1100 From: Babak Abedin <babak.abedin(a)gmail.com> To: aisworld(a)lists.aisnet.org Dear Colleagues, Please consider submitting to HICSS 2021: Explainable Artificial Intelligence (XAI) mini track ( https://hicss.hawaii.edu/tracks-54/decision-analytics-and-service-science/#… ). Fast track journal opportunity at *Information Systems Frontiers * *Description*: The use of Artificial Intelligence (AI) in the context of decision analytics and service science has received significant attention in academia and practice alike. Yet, much of the current efforts have focused on advancing underlying algorithms and not on decreasing the complexity of AI systems. AI systems are still “black boxes” that are difficult to comprehend—not only for developers, but particularly for users and decision-makers. Also, the development and use of AI is associated with many risks and pitfalls like biases in data or predictions based on spurious correlations (“Clever Hans” phenomena), which eventually may lead to malfunctioning or biased AI and hence technologically driven discrimination. This is where research on Explainable Artificial Intelligence (XAI) comes in. Also referred to as “transparent,” “interpretable,” or “understandable AI,” XAI aims to “produce explainable models, while maintaining a high level of learning performance (prediction accuracy); and enable human users to understand, appropriately, trust, and effectively manage the emerging generation of artificially intelligent partners”. XAI hence refers to “the movement, initiatives, and efforts made in response to AI transparency and trust concerns, more than to a formal technical concept”, eventually impacting task performance of users. With a focus on decision support, this minitrack aims to explore and extend research on how to establish explainability of intelligent black box systems—machine learning-based or not. We especially look for contributions that investigate XAI from either a developer’s or user’s perspective. We invite submissions from all application domains, such as healthcare, finance, e-commerce, retail, public administration or others. Technically and method-oriented studies as well as design science or behavioral science approaches are welcome. *Topics of interest include, but are not limited to:* - *The developers’ perspective on XAI* - XAI to open, control and evaluate black box algorithms - Using XAI to identify bias in data - Explainability and Human-in-the-Loop development of AI - XAI to support interactive machine learning - Prevention and detection of deceptive AI explanations - XAI to discover deep knowledge and learn from AI - *The users’ perspective on XAI* - Presentation and personalization of AI explanations for different target groups - XAI to increase situational awareness, compliance behavior and task performance - XAI for transparency and unbiased decision making - Impact of explainability on AI-based decision support systems use and adoption - Explainability of AI in crisis situations - Potential harm of explainability in AI We provide the opportunity for (extended) best papers of this minitrack to be fast-tracked to the Information Systems Frontiers (ISF) journal. Important Dates for Paper Submission June 15, 2020: Paper Submission Deadline (11:59 pm HST) August 17, 2020: Notification of Acceptance/Rejection Minitrack Co-Chairs: Christian Meske (Primary Contact) Freie Universität Berlin and Einstein Center Digital Future christian.meske(a)fu-berlin.de Babak Abedin University of Technology Sydney Babak.Abedin(a)uts.edu.au Iris Junglas College of Charleston junglasia(a)cofc.edu Fethi Rabhi University of New South Wales f.rabhi(a)unsw.edu.au _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP International Conference on Digital Health and Medical Analytics (DHA 2020) Beijing JUly 1-2 202 - Deadline extended
by Gustaf Neumann 25 Mar '20

25 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP International Conference on Digital Health and Medical Analytics (DHA 2020) Beijing JUly 1-2 202 - Deadline extended Date: Thu, 26 Mar 2020 00:00:57 +0800 From: Young Hoon Chang <younghoonchang(a)gmail.com> To: AISWorld(a)lists.aisnet.org International Conference on Digital Health and Medical Analytics (DHA 2020) July 1-2, 2020 Beijing Institute of Technology, Beijing, China CALL FOR PAPERS ** Paper submission deadline (abstract is acceptable) : 15 April 2020 (Extended) * Overview There have been massive amounts of digital health data stored in the medical information systems. They could be a valuable source of supporting healthcare organizations’ clinical practices and operations, public health management, and medical research if it is analyzed in meaningful ways. Digital technologies such as big data analytics and Artificial Intelligence (AI) are increasingly advocated as the emerging technologies in health care to fill this growing need. However, the adoption of digital technology in health care usually lags behind other industries, as some major technological and managerial obstacles still remain. Obstacles include the lack of health data integration, data overload issues, data privacy and security, and limited or inefficient data visualization. As a result, there is an urgent need for further research to technologically explore how to utilize digital health data to support evidence-based medicine using analytics approaches and demonstrate how big data analytics and AI can enable healthcare practitioners and policy makers to sufficiently address societal health concerns and challenges. The aim of DHA 2020 is to bring together a wide spectrum of researchers, industry/start-ups and healthcare practitioners. DHA 2020 covers multidisciplinary subjects that can include communities of practice and social networks, analytics and engagement with tracking and monitoring wearable devices, big data, public health surveillance, persuasive technologies, epidemic intelligence, participatory surveillance, emergency medicine, serious games for public health interventions and automated early identification of health threats and responses. Conference Sessions - Session 1: General track on digital health - Session 2: Big data analytics and AI in digital health - Session 3: Digital and social media in healthcare - Session 4: Public health and policy - Session 5: Operation and supply chain in healthcare - Session 6: Emerging technologies in healthcare - Session 7: Smart health and intelligent systems for health and wellbeing - Session 8: E-learning and training in healthcare - Session 9: Online healthcare community - Session 10: Blockchain in healthcare - Session 11: Applications of new technologies for the outbreak of epidemic diseases - Session 12: Medical practitioner panel discussion Fast Track to the Journals - Information System Frontier [SSCI, ABS 3; Impact factor: 2.539] https://www.springer.com/journal/10796/updates/17193440 - Internet Research [SSCI, ABS 2; Impact factor: 4.109] https://www.emeraldgrouppublishing.com/products/journals/call_for_papers.ht… - International Journal of Information Management [SSCI, ABS 2; Impact factor: 5.063] - Enterprise Information System [SCI, ABS2] - Knowledge Management Research & Practice [SSCI] - Information Discovery and Delivery [SSCI from 2020] Submission Abstract should be written in English or Chinese language and they should be between 1000 and 1,500 words in length. Please submit your submissions as a word document via EasyChair（click submission link here). All submissions will be subject to a double-blind review process. Key dates are: - 15 April 2020 (Extended) NEW Paper submission deadline (abstract is acceptable) - 30 April 2020 Notification of acceptance/rejection - 15 May 2020 Deadline for authors to submit final manuscript for publication - 30 May 2020 Deadline for early bird register - 10 June 2020 Deadline for at least one author of each paper to register for DHA 2020 Organizing Committee Conference Co-Chairs - Zhijun Yan, Beijing Institute of Technology, China - William Wang, University of Waikato, New Zealand - Yichuan Wang, University of Sheffield, United Kingdom - Dongsong Zhang, University of North Carolina at Charlotte, USA Program Co-Chairs - Younghoon Chang, Beijing Institute of Technology, China - Qiuju Yin, Beijing Institute of Technology, China - Lin Jia, Beijing Institute of Technology, China - Shiwei Sun, Beijing Institute of Technology, China - Minhao Zhang, University of Bristol, United Kingdom Contact information -Web URL1 : http://www.dha2020.org -Web URL2 : http://sme.bit.edu.cn/gbxwzx/xshy/173917.htm - E-mail:info@dha2020.org - Facebook: @dha2020china - Local host: Beijing Institute of Technology > _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] CFP International Conference on Digital Health and Medical Analytics (DHA 2020) Beijing JUly 1-2 202
by Gustaf Neumann 25 Mar '20

25 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFP International Conference on Digital Health and Medical Analytics (DHA 2020) Beijing JUly 1-2 202 Date: Wed, 25 Mar 2020 21:42:22 +0800 From: Young Hoon Chang <younghoonchang(a)gmail.com> To: AISWorld(a)lists.aisnet.org International Conference on Digital Health and Medical Analytics (DHA 2020) July 1-2, 2020 Beijing Institute of Technology, Beijing, China CALL FOR PAPERS * Paper submission deadline (abstract is acceptable) : 15 April 2020 (Extended) Overview There have been massive amounts of digital health data stored in the medical information systems. They could be a valuable source of supporting healthcare organizations’ clinical practices and operations, public health management, and medical research if it is analyzed in meaningful ways. Digital technologies such as big data analytics and Artificial Intelligence (AI) are increasingly advocated as the emerging technologies in health care to fill this growing need. However, the adoption of digital technology in health care usually lags behind other industries, as some major technological and managerial obstacles still remain. Obstacles include the lack of health data integration, data overload issues, data privacy and security, and limited or inefficient data visualization. As a result, there is an urgent need for further research to technologically explore how to utilize digital health data to support evidence-based medicine using analytics approaches and demonstrate how big data analytics and AI can enable healthcare practitioners and policy makers to sufficiently address societal health concerns and challenges. The aim of DHA 2020 is to bring together a wide spectrum of researchers, industry/start-ups and healthcare practitioners. DHA 2020 covers multidisciplinary subjects that can include communities of practice and social networks, analytics and engagement with tracking and monitoring wearable devices, big data, public health surveillance, persuasive technologies, epidemic intelligence, participatory surveillance, emergency medicine, serious games for public health interventions and automated early identification of health threats and responses. Conference Sessions - Session 1: General track on digital health - Session 2: Big data analytics and AI in digital health - Session 3: Digital and social media in healthcare - Session 4: Public health and policy - Session 5: Operation and supply chain in healthcare - Session 6: Emerging technologies in healthcare - Session 7: Smart health and intelligent systems for health and wellbeing - Session 8: E-learning and training in healthcare - Session 9: Online healthcare community - Session 10: Blockchain in healthcare - Session 11: Applications of new technologies for the outbreak of epidemic diseases - Session 12: Medical practitioner panel discussion Fast Track to the Journals - Information System Frontier [SSCI, ABS 3; Impact factor: 2.539] https://www.springer.com/journal/10796/updates/17193440 - Internet Research [SSCI, ABS 2; Impact factor: 4.109] https://www.emeraldgrouppublishing.com/products/journals/call_for_papers.ht… - International Journal of Information Management [SSCI, ABS 2; Impact factor: 5.063] - Enterprise Information System [SCI, ABS2] - Knowledge Management Research & Practice [SSCI] - Information Discovery and Delivery [SSCI from 2020] Submission Abstract should be written in English or Chinese language and they should be between 1000 and 1,500 words in length. Please submit your submissions as a word document via EasyChair（click submission link here). All submissions will be subject to a double-blind review process. Key dates are: -* 15 April 2020 (Extended) NEW Paper submission deadline (abstract is acceptable)* - 30 April 2020 Notification of acceptance/rejection - 15 May 2020 Deadline for authors to submit final manuscript for publication - 30 May 2020 Deadline for early bird register - 10 June 2020 Deadline for at least one author of each paper to register for DHA 2020 Organizing Committee Conference Co-Chairs - Zhijun Yan, Beijing Institute of Technology, China - William Wang, University of Waikato, New Zealand - Yichuan Wang, University of Sheffield, United Kingdom - Dongsong Zhang, University of North Carolina at Charlotte, USA Program Co-Chairs - Younghoon Chang, Beijing Institute of Technology, China - Qiuju Yin, Beijing Institute of Technology, China - Lin Jia, Beijing Institute of Technology, China - Shiwei Sun, Beijing Institute of Technology, China - Minhao Zhang, University of Bristol, United Kingdom Contact information -Web URL1 : http://www.dha2020.org -Web URL2 : http://sme.bit.edu.cn/gbxwzx/xshy/173917.htm - E-mail:info@dha2020.org - Facebook: @dha2020china - Local host: Beijing Institute of Technology _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: Re: [AISWorld] CFP International Conference on Digital Health and Medical Analytics (DHA 2020) Beijing JUly 1-2 202
by Gustaf Neumann 25 Mar '20

25 Mar '20

-------- Forwarded Message -------- Subject: Re: [AISWorld] CFP International Conference on Digital Health and Medical Analytics (DHA 2020) Beijing JUly 1-2 202 Date: Wed, 25 Mar 2020 21:40:25 +0800 From: Young Hoon Chang <younghoonchang(a)gmail.com> To: AISWorld(a)lists.aisnet.org International Conference on Digital Health and Medical Analytics (DHA 2020) July 1-2, 2020 Beijing Institute of Technology, Beijing, China CALL FOR PAPERS * Paper submission deadline (abstract is acceptable) : 1 April 2020 Overview There have been massive amounts of digital health data stored in the medical information systems. They could be a valuable source of supporting healthcare organizations’ clinical practices and operations, public health management, and medical research if it is analyzed in meaningful ways. Digital technologies such as big data analytics and Artificial Intelligence (AI) are increasingly advocated as the emerging technologies in health care to fill this growing need. However, the adoption of digital technology in health care usually lags behind other industries, as some major technological and managerial obstacles still remain. Obstacles include the lack of health data integration, data overload issues, data privacy and security, and limited or inefficient data visualization. As a result, there is an urgent need for further research to technologically explore how to utilize digital health data to support evidence-based medicine using analytics approaches and demonstrate how big data analytics and AI can enable healthcare practitioners and policy makers to sufficiently address societal health concerns and challenges. The aim of DHA 2020 is to bring together a wide spectrum of researchers, industry/start-ups and healthcare practitioners. DHA 2020 covers multidisciplinary subjects that can include communities of practice and social networks, analytics and engagement with tracking and monitoring wearable devices, big data, public health surveillance, persuasive technologies, epidemic intelligence, participatory surveillance, emergency medicine, serious games for public health interventions and automated early identification of health threats and responses. Conference Sessions - Session 1: General track on digital health - Session 2: Big data analytics and AI in digital health - Session 3: Digital and social media in healthcare - Session 4: Public health and policy - Session 5: Operation and supply chain in healthcare - Session 6: Emerging technologies in healthcare - Session 7: Smart health and intelligent systems for health and wellbeing - Session 8: E-learning and training in healthcare - Session 9: Online healthcare community - Session 10: Blockchain in healthcare - Session 11: Applications of new technologies for the outbreak of epidemic diseases - Session 12: Medical practitioner panel discussion Fast Track to the Journals - Information System Frontier [SSCI, ABS 3; Impact factor: 2.539] https://www.springer.com/journal/10796/updates/17193440 - Internet Research [SSCI, ABS 2; Impact factor: 4.109] https://www.emeraldgrouppublishing.com/products/journals/call_for_papers.ht… - International Journal of Information Management [SSCI, ABS 2; Impact factor: 5.063] - Enterprise Information System [SCI, ABS2] - Knowledge Management Research & Practice [SSCI] - Information Discovery and Delivery [SSCI from 2020] Submission Abstract should be written in English or Chinese language and they should be between 1000 and 1,500 words in length. Please submit your submissions as a word document via EasyChair（click submission link here). All submissions will be subject to a double-blind review process. Key dates are: - 15 April 2020 (Extended) NEW Paper submission deadline (abstract is acceptable) - 30 April 2020 Notification of acceptance/rejection - 15 May 2020 Deadline for authors to submit final manuscript for publication - 30 May 2020 Deadline for early bird register - 10 June 2020 Deadline for at least one author of each paper to register for DHA 2020 Organizing Committee Conference Co-Chairs - Zhijun Yan, Beijing Institute of Technology, China - William Wang, University of Waikato, New Zealand - Yichuan Wang, University of Sheffield, United Kingdom - Dongsong Zhang, University of North Carolina at Charlotte, USA Program Co-Chairs - Younghoon Chang, Beijing Institute of Technology, China - Qiuju Yin, Beijing Institute of Technology, China - Lin Jia, Beijing Institute of Technology, China - Shiwei Sun, Beijing Institute of Technology, China - Minhao Zhang, University of Bristol, United Kingdom Contact information -Web URL1 : http://www.dha2020.org -Web URL2 : http://sme.bit.edu.cn/gbxwzx/xshy/173917.htm - E-mail:info@dha2020.org - Facebook: @dha2020china - Local host: Beijing Institute of Technology _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [wkwi] Call for Chapter Proposals: Handbook on Digital Business Ecosystems
by Gustaf Neumann 25 Mar '20

25 Mar '20

-------- Forwarded Message -------- Subject: [wkwi] Call for Chapter Proposals: Handbook on Digital Business Ecosystems Date: Wed, 25 Mar 2020 10:59:37 +0000 From: Baumann, Sabine <sabine.baumann(a)jade-hs.de> Reply-To: Baumann, Sabine <sabine.baumann(a)jade-hs.de> To: wkwi(a)listserv.dfn.de <wkwi(a)listserv.dfn.de> Sehr geehrte Kolleginnen und Kollegen, beigefügt erhalten Sie einen Call for Chapter Proposals für ein /Handbook on Digital Business Ecosystems: Technologies, Markets, Business Models, Management, and Societal Challenges./ Über Beiträge aus der WI-Community würde ich mich sehr freuen. Viele Grüße Sabine Baumann Prof. Dr. Sabine Baumann Fachbereich Management, Information, Technologie Jade Hochschule Friedrich-Paffrath-Str. 101 D-26389 Wilhelmshaven Tel. (0 44 21) 9 85 - 24 96 E-Mail: sabine.baumann(a)jade-hs.de <mailto:sabine.baumann@jade-hs.de> http://baumann.faculty.jade-hs.de/

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Fwd: [computational.science] CFP: Special Issue "Modeling and Analysis of Data-Driven Systems through Computational Neuroscience" with Hindawi's Computational Intelligence and Neuroscience
by Gustaf Neumann 24 Mar '20

24 Mar '20

-------- Forwarded Message -------- Subject: [computational.science] CFP: Special Issue "Modeling and Analysis of Data-Driven Systems through Computational Neuroscience" with Hindawi's Computational Intelligence and Neuroscience Date: Tue, 24 Mar 2020 15:08:49 -0000 From: Computational Science Mailing List <computational.science(a)lists.iccsa.org> Reply-To: computational.science(a)lists.iccsa.org To: computational.science(a)lists.iccsa.org [Apologies for Multiple Emails] Please consider submitting your manuscript to the special issue of "Modeling and Analysis of Data-Driven Systems through Computational Neuroscience" with Hindawi's Computational Intelligence and Neuroscience. Theme of this special issue: Artificial intelligence(AI)based application systems are becoming the mainstream in the software industry and application domains such as computational neuroscience, bioinformatics, and healthcare. Recent advances in big data generation and management have created an avenue for decision makers to utilize these huge volumes of data for different purposes and analyses. AI-based application developers have long utilized conventional machine learning techniques to design better user interfaces and vulnerability predictions. However, with the advancement of deep learning-based and neural-based networks and algorithms, researchers are able to explore and learn more about data and their exposed relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network algorithms and techniques in many application domains, including software systems, cyber security, human activity recognition, and behavioral modeling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications. This Special Issue aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behavior of applications. Original research and review articles that consider how to model and build data-driven applications using computational neuroscience are encouraged. More specifically, it is of interest to learn how neuron networks can represent data-driven applications and their behaviors in order to extract key features. The Special Issue will enable researchers from academia and industry to share innovative applications and creative solutions to common problems when modeling neural-based applications in computational neuroscience and neuroengineering. Topics of Interest: Potential topics include but are not limited to the following: - Neural programming and coding in data-driven systems using machine and deep learning - Attention and learning of data-driven systems using neural memory networks - Neural-based mathematical formulation of information and data using machine and deep learning - Human perception, cognition, and decision making through neural networks - Human activity recognition through deep neural modeling - Modeling and prediction of human behavior using computational neuroscience techniques - Modeling human-computer interactions through neural networks - Modeling humanoid intelligent bots and mimicking human behavior using computational neuroscience techniques For more information regarding this special issue, please visit the following link: https://www.hindawi.com/journals/cin/si/696425/ Sincerely, Akbar Namin, The lead editor of this special issue.

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Fwd: [computational.science] CFP: Special Issue "Deep Learning for the Internet of Things" with MDPI Electronics
by Gustaf Neumann 24 Mar '20

24 Mar '20

-------- Forwarded Message -------- Subject: [computational.science] CFP: Special Issue "Deep Learning for the Internet of Things" with MDPI Electronics Date: Tue, 24 Mar 2020 14:49:35 -0000 From: Computational Science Mailing List <computational.science(a)lists.iccsa.org> Reply-To: computational.science(a)lists.iccsa.org To: computational.science(a)lists.iccsa.org [Apologies for Duplicate Emails] Please consider submitting your manuscripts to the special issue on "Deep Learning for the Internet of Things" with MDPI Electronics The Special Issue Theme: The recent advancements in artificial intelligence; machine learning; and, more importantly, deep learning, with its many variations of algorithms and platforms, have radically transformed conventional software applications into a set of smart and connected components with the capability of data-driven decision-making; intelligent data sensing and filtering; proactive and collaborative integration of software and hardware devices; and, more importantly, the ability to capture tons of useful interaction data. Machine and deep learning-based components are becoming the backbone of modern systems such as cyber-physical systems (CPS) and Internet of Things (IoT), where intelligent integrations and collaborations of smart devices along with their outstanding data collection capabilities make them a perfect application domain for such sophisticated learning algorithms. The beauty of smart and connected devices governed by software utilities has already been demonstrated in several application domains such as healthcare, agriculture and farming, manufacturing, smart buildings, transportation, energy, and environmental surveillance monitoring systems. While these IoT-based systems can capture a good amount of data, the usage of these valuable and hard-to-produce data are not being fully utilized. Deep learning enables one to explore these data in further detail and capturing the hidden relationships that may exist among their key factors and parameters, thus providing further insight into the underlying application domains. Furthermore, deep learning algorithms are also capable of addressing challenging problems that are natural in IoT but remain unsolved in systems such as real time optimization problems, modeling non-linear characteristics of IoT devices and components, and several instances of prediction and classification problems. This Special Issue aims to foster deep learning-based modeling, solutions, and approaches to problems in Internet of Things systems. It seeks to explore deep learning algorithms, including generative adversarial models, attention-based networks, deep reinforcement learning, and recurrent deep neural networks, in capturing features and modeling the behavior of the involved software and hardware components. Topics of Interest: Academic researchers and industrial practitioners are invited to contribute their valuable research and experiences to state-of-the-art of deep learning-based approaches to modeling Internet of Things and associated problems. Topics of interest include but are not limited to the following applications of deep learning techniques to - Modeling IoT systems using deep learning; - Generative adversarial networks (GANS) in IoT and CPS; - Long short-term memory (LSTM) modeling of IoT time series data; - Attention-based approaches to capture significant features in IoT; - Deep learning-based modeling and experience in IoT-based applications such as smart building, healthcare, agriculture, manufacturing, left-driving cars, and cyber security; - Deep reinforcement learning for modeling decision making and uncertainty in IoT. For more information regarding this special issue, please visit the following link: https://www.mdpi.com/journal/electronics/special_issues/Deep_Learning_IoT Sincerely, Akbar Namin Guest Editor

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Fwd: [AISWorld] CFC: Advanced Concepts, Methods, and Applications in Semantic Computing
by Gustaf Neumann 24 Mar '20

24 Mar '20

-------- Forwarded Message -------- Subject: [AISWorld] CFC: Advanced Concepts, Methods, and Applications in Semantic Computing Date: Tue, 24 Mar 2020 14:50:09 +0200 From: Olawande Daramola <dwande(a)gmail.com> To: aisworld(a)lists.aisnet.org, seworld(a)sigsoft.org, dbworld(a)sigsoft.org Dear Colleagues, You are cordially invited to contribute to the forthcoming edited book publication entitled Advanced Concepts, Methods, and Applications in Semantic Computing, to be published by IGI Global, an international publisher of progressive academic research. This is the second round of Call for Chapters. The edited book will be ready to accept original manuscripts (previously unpublished) as book chapter submissions, and also papers that might have been previously published in a conference/workshop albeit in its shorter form. However, the manuscripts in this category would have to be expanded with at least 40% additional content to be acceptable as a book chapter submission for the edited book. The call for chapter link is: *https://www.igi-global.com/publish/call-for-papers/call-details/3770 <https://www.igi-global.com/publish/call-for-papers/call-details/3770>* Important Dates Proposal submission: *April 3, 2020* Full chapter submission *May 12, 2020* Review results due to authors: *June 15, 2020* Revisions due from authors: *July 8, 2020* Final acceptance notification: *July 15, 2020* Final materials due to IGI Global: *July 22, 2020* Please use the link on the IGI website shown below to submit your chapter: https://www.igi-global.com/submission/submit-chapter/?projectid=d6b04da7-52… *Topics* • Semantic methods and algorithms • Semantic Web and linked open data Application of semantic technologies • Semantic middleware and infrastructures • Semantic integration and semantic interfaces • Semantics in software engineering and semantic software systems • Formal semantics and semantic description languages • Semantic-driven processes in systems engineering • Semantic-based architectures and systems • Semantic cloud architectures and semantic cloud services • Semantics machine learning and semantic deep learning • Semantic AI and Data Science • Semantics in IoT and smart cities • Semantic and blockchain technology • NLP-based algorithms and approaches • Semantic-based information extraction • Semantic information retrieval • Semantic integration of systems and services • Semantic approaches for sentiment analysis • Semantic approaches for event detection The Editors will work together with IGI to ensure that the book: *Advanced Concepts, Methods, and Applications in *Semantic Computing is indexed in SCOPUS after its publication. Thank you. Olawande Daramola Thomas Moser -- Prof. Olawande Daramola Position: Associate Professor Faculty of Informatics and Design Department of Information Technology, Cape Peninsula University of Technology Cape Town, South Africa Office Tel: 021 460 3184 Cell: +27 618618287 Personal Webpage: https://tinyurl.com/yczlptxo "I am a man much helped by God" _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: Call for Papers: Embedded Software Engineering Kongress 2020 - Ihre Expertise, Erfahrungen und Ergebnisse sind gefragt!
by Gustaf Neumann 24 Mar '20

24 Mar '20

-------- Forwarded Message -------- Subject: Call for Papers: Embedded Software Engineering Kongress 2020 - Ihre Expertise, Erfahrungen und Ergebnisse sind gefragt! Date: Tue, 24 Mar 2020 13:48:12 +0100 (CET) From: Gesellschaft fuer Informatik e.V. <mitgliederservice(a)gi.de> Reply-To: mitgliederservice(a)gi.de Organization: Gesellschaft fuer Informatik e.V. To: gustaf.neumann(a)wu-wien.ac.at Logo der Gesellschaft für Informatik e.V. VERANSTALTUNGSHINWEIS Embedded Software Engineering Kongress 2020 Sehr geehrte Damen und Herren, liebe Mitglieder der GI, der *13. Embedded Software Engineering Kongress* bietet Ihnen vom 30. November bis 4. Dezember eine ideale Plattform, um einem großen Fachpublikum (2019 waren es über 1100 Teilnehmer) aus *Entwicklung, Management, Forschung und Lehre* Ihr Wissen und Ihre Erfahrungen und Lösungen zu präsentieren. Der ESE Kongress hat sich als *führende Informationsplattform* und wichtiger Treffpunkt für *Embedded-Softwareentwickler und Führungskräfte* etabliert – vor allem wegen des *hochwertigen Vortrags- und Seminarangebots*. Berichte, Bilder, Meinungen und Videos unter „Überblick“ auf www.ese-kongress.de <https://www.ese-kongress.de/> liefern Ihnen einen umfassenden Eindruck über diesen beliebten Expertentreff. *Bitte reichen Sie Ihre Vorschläge für Fachvorträge oder Kompaktseminare bis zum 17. Mai ein. * Auf www.ese-kongress.de <https://www.ese-kongress.de/> haben wir dazu unter *„Call for Papers“* alle Informationen und Anforderungen für Sie bereitgestellt. Der Kongressbeirat mit ausgesuchten Fachleuten aus Forschung, Industrie und Fachpresse wird aus den eingereichten Vorschlägen das diesjährige Programm zusammenstellen. Für Haupt-Referenten ist die Teilnahme *kostenfrei*. Die Sprecher der besten Vorträge und Kompaktseminare werden mit dem *Best Speaker Award* ausgezeichnet und sowohl auf der Kongress-Website als auch auf dem nächsten Kongress gewürdigt. Wir freuen uns auf Ihre Vorschläge. Freundliche Grüße Peter Siwon, Beiratsvorsitz ESE Kongress Hans Wiesböck, Chefredakteur ELEKTRONIKPRAXIS ese-kongress(a)microconsult.de www.ese-kongress.de <http://www.ese-kongress.de> Sie erhalten diese E-Mail als Mitglied der Gesellschaft für Informatik e.V. (GI), da Sie der Zusendung von Informatik-relevanten Informationen zugestimmt haben. Sie können dieseZusendungen jederzeit abbestellen <https://meine.gi.de/abbestellen/> oder im Mitgliederbereichunter "Mitgliedschaft" bei "Stammdaten" anpassen <https://meine.gi.de>. Die GI ist nicht verantwortlich für den Inhalt der E-Mail. Impressum <https://gi.de/impressum>Datenschutz <https://gi.de/datenschutz>

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