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Contributing to the Wikimedia ORES project for the Google Summer Of Code Programme.
by Fortunate Omoleye 28 Feb '22

28 Feb '22

Hey Folks, How are you doing today and I hope you are safe and well wherever you are. My name is Omoleye Julius Fortunate and I'm a year three statistics student of the federal University of Agriculture Abeokuta Ogun State Nigeria. I would like to contribute to the Wikimedia ORES project for the 2022 google summer of code programme , and would really love to get an headstart on how to get started. I have skills using the Python Django framework, weak machine learning skills , also some basic site reliability Engineering skills too. I would be expecting a positive response from you soon. Thank you Omoleye Julius

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Computational Neuroscience: Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück.
by Peter König 28 Feb '22

28 Feb '22

Great opportunity in Computational Neuroscience: Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück. (apologies for multiple postings) Full details at: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… --- This tenure-track Professorship is funded by the German Federal Government and the Länder under its Program for the Promotion of Young Academics (Tenure-Track Program). Upon meeting the general administrative requirements, you will be employed as a civil servant on limited tenure for an initial period of three years. If you receive a positive evaluation after the initial three years, this period can be extended by up to three further years. If you meet Osnabrück University’s standards with respect to ability, competence and academic achievement, you will be offered a tenured W2 Professorship in accordance with the relevant legal provisions without further application. Tasks and Responsibilities: Research and teaching should be in the area of computational neuroscience. The professorship and research should be focused on understanding principles of neuronal information processing and cognitive processes. The professorship complements and cooperates with the existing research groups of the Institute of Cognitive Science at Osnabrück University. Further, the holder of the position should actively contribute to existing and future collaborative research projects (e.g. RTG Situated Cognition, RTG Computational Cognition) and should participate in the respective continuation research proposal of the Research Training Group Computational Cognition. In addition, the professorship should engage in teaching in all degree programs of Cognitive Science (BSc, MSc, PhD). Teaching is in English. Conditions of Employment: Condition of employment is: - Research experience in the field of neuronal information processing with the focus of understanding principles of neuronal information processing or cognitive processes. - Research focus on at least one of the two following topics: - Methods of Experimental cognitive neuroscience like EEG, MEG, fMRI, TMS, cell recordings, eyetracking, or virtual reality - Models of information processing in neurons, networks of neurons like for example deep neuronal networks and machine learning. - A coherent research profile, must be motivated by or explain experimental data and there must be a realistic perspective to implement all parts of the own research, including the experimental components or data collection, at the university of Osnabrück. - An excellent command of the English language. - Willingness to participate in university administrative processes and commission work. For non-German speaking applicants, willingness is expected to learn the German language with a sufficient proficiency within two years. In addition, it would be welcome: - Teaching experience in the field of the professorship - Experience with acquiring third party research funding. Legal Conditions of Employment: You will hold a first degree, have a strong commitment to teaching, and have demonstrated your ability to engage independently in advanced academic research, as a rule by obtaining an outstanding PhD (in accordance with Section 30 subsection 2 of the Lower Saxony Higher Education Act [NHG]) in a relevant subject. The time between the applicant’s final PhD examination or the completion of other equivalent qualifications which qualify the applicant for the position in accordance with Section 30 para. 2 sentence 1 No. 3 Lower Saxony Higher Education Act and the applicant’s application for the assistant professorship should be no longer than four years. This period of time does not include periods caring for a child or several children under 18 years of age or periods caring for a dependent relative and increases by up to two years per child or period of care to a maximum four years in multiple cases of care (Section 30 para. 5 Lower Saxony Higher Education Act). The position is available on a full-time or part-time basis. Osnabrück University is a family-friendly university and is committed to helping working/studying parents balance their family and working lives. Osnabrück University is actively seeking to increase the number of female Professors in its employ. Applications from women are therefore particularly welcome. If two candidates are equally qualified, preference will be given to the candidate with disability status. For further information, please contact Prof. Dr Gordon Pipa, Tel. +49 541-969-2277, E-Mail: gpipa(a)uni-osnabrueck.de. Please submit your application (including a resume with full details of your scholarly and scientific employment history, list of publications and courses taught as well as planned research) in electronic form (as one pdf file) together with the “Bewerbungsprofil” [“Applicant Profile”] (DOCX, 13,58 kB) to the Dean of the School of Human Sciences, Prof. Dr. Susanne Boshammer, Universität Osnabrück, 49069 Osnabrück (bewerbungfb08(a)uni-osnabrueck.de) to arrive by March 27, 2022. Please enter the code word "CNtt" in the subject of your e-mail. We look forward to receiving your application. -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

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music producer
by j3lli2021＠outlook.com 16 Feb '22

16 Feb '22

j3l

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Regarding IRC for ORES Project
by Sahethi DG 25 Jan '22

25 Jan '22

Hello, I'm Sahethi DG, a third-year undergraduate studying Computer Engineering at VJTI, Mumbai, India. I have been going through the codebase of ORES for a few days now, figuring my way and trying to contribute. I am currently working on some issues and I look forward to being a part of the community and collaborating on this project. I was wondering if there was a dedicated Slack or IRC for this project because I can't seem to find anyone active on Libera Chat. I referred to the links mentioned in "Get in touch" for ORES here https://www.mediawiki.org/wiki/New_Developers, please do send me an invite if possible. Best regards, Sahethi

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[CfP] Call for Papers: Information Processing & Management (IP&M) (IF: 6.222) Special Issue on Science Behind Neural Language Models
by Ptaszynski Michal 20 Jan '22

20 Jan '22

Dear Colleagues, ** Apologies for cross-posting ** This is Michal Ptaszynski from Kitami Institute of Technology, Japan. We are accepting papers for the Information Processing & Management (IP&M) (IF: 6.222) journal Special Issue on Science Behind Neural Language Models. This special issue is also a Thematic Track at Information Processing & Management Conference 2022 (IP&MC2022), meaning, that at least one author of the accepted manuscript will need to attend the IP&MC2022 conference. For more information about IP&MC2022, please visit: https://www.elsevier.com/events/conferences/information-processing-and-mana… The deadline for manuscript submission is June 15, 2022, but your paper will be reviewed immediately after submission and will be published as soon as it is accepted. We hope you will consider submitting your paper. https://www.elsevier.com/events/conferences/information-processing-and-mana… Info regarding submission: https://www.elsevier.com/events/conferences/information-processing-and-mana… Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Department of Computer Science Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal(a)mail.kitami-it.ac.jp ============================================ Information Processing & Management (IP&M) (IF: 6.222) Special Issue on "Science Behind Neural Language Models" & Information Processing & Management Conference 2022 (IP&MC2022) Thematic Track on "Science Behind Neural Language Models" Motivation The last several years showed explosive popularity of neural language models, especially large pre-trained language models based on the transformer architecture. The field of Natural Language Processing (NLP) and Computational Linguistics (CL) experienced a shift from simple language models such as Bag-of-Words, and word representations like word2vec, or GloVe, to more contextually-aware language models, such as ELMo, or more recently, BERT, or GPT including their improvements and derivatives. The general high performance obtained by BERT-based models in various tasks even convinced Google to apply it as a default backbone in its search engine query expansion module, thus making BERT-based models a mainstream, and a strong baseline in NLP/CL research. The popularity of large pretrained language models also allowed a major growth of companies providing freely available repositories of such models, and, more recently, the founding of Stanford University’s Center for Research on Foundation Models (CRFM). However, despite the overwhelming popularity, and undeniable performance of large pretrained language models, or “foundation models”, the specific inner-workings of those models have been notoriously difficult to analyze and the causes of - usually unexpected and unreasonable - errors they make, difficult to untangle and mitigate. As the neural language models keep gaining in popularity while expanding into the area of multimodality by incorporating visual and speech information, it has become the more important to thoroughly analyze, fully explain and understand the internal mechanisms of neural language models. In other words, the science behind neural language models needs to be developed. Aims and scope With the above background in mind, we propose the following Information Processing & Management Conference 2022 (IP&MC2022) Thematic Track and Information Processing & Management Journal Special Issue on Science Behind Neural Language Models. The TT/SI will focus on topics deepening the knowledge on how the neural language models work. Therefore, instead of taking up basic topics from the fields of CL and NLP, such as improvement of part-of-speech tagging, or standard sentiment analysis, regardless of whether they apply neural language models in practice, we will focus on promoting research that specifically aims at analyzing and understanding the “bells and whistles” of neural language models, for which the generally perceived science has not been established yet. Target audience The TT/SI will aim at the audience of scientists, researchers, scholars, and students performing research on the analysis of pretrained language models, with a specific focus on explainable approaches to language models, analysis of errors such models make, methods for debiasing, detoxification and other methods of improvement of the pretrained language models. The TT/SI will not accept research on basic NLP/CL topics for which the field has been well established, such as improvement of part-of-speech tagging, sentiment analysis, etc., even if they apply neural language models unless they directly contribute to furthering the understanding and explanation of the inner workings of large scale pretrained language models. List of Topics List of Topics The Thematic Track / Special Issue will invite papers on topics listed, but not limited to the following: - Neural language model architectures - Improvement of neural language model generation process - Methods for fine tuning and optimization of neural language models - Debiasing neural language models - Detoxification of neural language models - Error analysis and probing of neural language models - Explainable methods for neural language models - Neural language models and linguistic phenomena - Lottery Ticket Hypothesis for neural language models - Multimodality in neural language models - Generative neural language models - Inferential neural language models - Cross-lingual or multilingual neural language models - Compression of neural language models - Domain specific neural language models - Expansion of information embedded in neural language models Important Dates: Thematic track manuscript submission due date; authors are welcome to submit early as reviews will be rolling: June 15, 2022 Author notification: July 31, 2022 IP&MC conference presentation and feedback: October 20-23, 2022 Post conference revision due date: January 1, 2023 Submission Guidelines: Submit your manuscript to the Special Issue category (VSI: IPMC2022 HCICTS) through the online submission system of Information Processing & Management. https://www.editorialmanager.com/ipm/ Authors will prepare the submission following the Guide for Authors on IP&M journal at (https://www.elsevier.com/journals/information-processing-and-management/030…). All papers will be peer-reviewed following the IP&MC2022 reviewing procedures. The authors of accepted papers will be obligated to participate in IP&MC 2022 and present the paper to the community to receive feedback. The accepted papers will be invited for revision after receiving feedback on the IP&MC 2022 conference. The submissions will be given premium handling at IP&M following its peer-review procedure and, (if accepted), published in IP&M as full journal articles, with also an option for a short conference version at IP&MC2022. Please see this infographic for the manuscript flow: https://www.elsevier.com/__data/assets/pdf_file/0003/1211934/IPMC2022Timeli… For more information about IP&MC2022, please visit https://www.elsevier.com/events/conferences/information-processing-and-mana…. Thematic Track / Special Issue Editors: Managing Guest Editor: Michal Ptaszynski (Kitami Institute of Technology) Guest Editors: Rafal Rzepka (Hokkaido University) Anna Rogers (University of Copenhagen) Karol Nowakowski (Tohoku University of Community Service and Science) For further information, please feel free to contact Michal Ptaszynski directly.

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Wikianswers
by Adam Sobieski 17 Dec '21

17 Dec '21

I am pleased to share with you a new proposal for a Wikimedia project: Wikianswers. The project intends to integrate artificial intelligence question-answering systems with a wiki question-and-answer platform. Like similar projects, users will receive one or more answers to their questions from artificial intelligence question-answering systems, but, unlike other projects, they will subsequently be able to edit those answers, as well as any provided explanations and argumentation, per wiki technology. User-corrected content could later be utilized to retrain the question-answering systems. The proposed project aims to provide value as a new resource for users and as training data for multiple artificial intelligence systems. While the proposed project can provide users with answers across various question domains, a scenario of interest to me is that of moral question answering. I hope that this scenario is also of some interest to you. The hyperlink to the project proposal: https://meta.wikimedia.org/wiki/Wikianswers . Thank you for any ideas, comments, questions, or suggestions with which to improve the project proposal. Thank you for taking the time to express your support of or opposition to the proposed new project. Best regards, Adam Sobieski http://www.phoster.com

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CFP: Last Call for papers for the International Conference "AI for People: Towards Sustainable AI" (CAIP’21)
by Angelo Trotta 21 Sep '21

21 Sep '21

Dear Colleague, we are writing to you as we understand you may be interested in this year’s edition of the EAI International Conference *“AI for People: Towards Sustainable AI” (CAIP’21)*. Below you will find the official Call for Full papers. Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. Thank you and we hope to see you in *CAIP’21*! ------------------------------------------------ *International Conference “AI for People: Towards Sustainable AI” (CAIP’21)* November 20-24, 2021 https://aiforpeople.org/conference *Call for Full Papers* https://aiforpeople.org/conference/cfp.php Please distribute (Apologies for cross-posting) If you wish to receive more information about CAIP’21 https://mailchi.mp/281085ba7b4b/caip21 CAIP'21 is technically sponsored by: *European Alliance for Innovation (EAI)*. CAIP'21 is supported by: *Technology Innovation Institute (TII)*, *European Association for Artificial Intelligence (EurAI)*. CAIP'21 partners: Encode Justice, The Future Society (TFS), MLDawn ------------------------------------------------ The International Conference “AI for People: Towards Sustainable AI” was born out of the idea of shaping Artificial Intelligence technology around human and societal needs. While Artificial Intelligence (AI) can be a beneficial tool, its development and its deployment impact society and the environment in ways that need to be thoroughly addressed and confronted. This year’s edition will focus on Sustainable AI, covering different aspects of social development, environmental protection, and economic growth applied in the design and deployment of AI systems. The conference will provide its participants with opportunities to gain a better understanding of the major challenges of utilizing AI for the societal good. Additionally, it should serve as an incubator for interdisciplinary communities that share a research agenda to exchange and discuss ideas related to the design and application of Sustainable AI. Here, Sustainable AI is a movement to foster change towards greater ecological integrity and social justice in the entire life cycle of AI systems. **** Themes and Topics **** The conference will be interdisciplinary and it welcomes contributions from different disciplines, spanning from computer science, the social sciences, and the humanities. Possible topics include but are not limited to: - AI applications for the social good and towards sustainable development goals - Ethics of Artificial Intelligence - Sustainable AI for Smart Cities - Policy recommendations for Sustainable AI - Green AI for environmental protection - Accuracy and Robustness of AI systems - Bias and Fairness in AI Systems - Privacy and Accountability in AI Systems - Safety and Security in AI Systems - Explainability and Transparency in AI Systems **** Important Dates **** Submission deadline: October 1st, 2021 Notification: November 1st, 2021 Camera-ready: November 6th, 2021 Conference Days: November 20-24, 2021 **** EAI Proceedings **** Conference proceedings will be published in the EAI CORE Proceedings and included in the European Digital Library (EUDL) and will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP. **** Keynote Speakers **** CAIP’21 will host international keynote speakers (to be completed): - Priya Donti, Chair at Climate Change AI - Sneha Revanur, Founder of Encode Justice - Nicolas Miailhe, President of The Future Society - Maria De-Arteaga, Assistant Prof. at University Texas **** Organising Committee **** The International Conference on “AI for People: Towards Sustainable AI” is organized by the nonprofit international organization “AI for People” (aiforpeople.org). /General Chairs/ - Marta Ziosi (Oxford Internet Institute, University Oxford) - Philipp Wicke (University College, Dublin) - João Miguel Cunha (University of Coimbra) - Angelo Trotta (University of Bologna) /Program Chairs/ - Lea Buchhorn (Leiden University) - Vincenzo Lomonaco (University of Pisa) /Finance Chair/ - Aina Turillazzi (Tilburg University) /Publication Chair/ - Angelo Trotta (University of Bologna) TPC Chair - Kevin Trebing (Plan D GmbH) - Gabriele Graffieti (University of Bologna) /Technical Program Committee (to be completed)/ - Adam Poulsen – Charles Sturt University - Aiste Gerybaite – University of Bologna - Andrea Cossu – Scuola Normale Superiore - Aníbal Monasterio Astobiza – IFS-CSIC - Christoph Lütge – Technical University of Munich - Clàudia Figueras – Stockholm University - Claudio Gallicchio – University of Pisa - Daniel Schiff – Georgia Institute of Technology - Federico Montori – University of Bologna - Giovanni Sartor – EUI/CIRSFID - Jake Goldenfein – University of Melbourne - Jakob Mökander – Oxford Internet Institute, University of Oxford. - Jason Borenstein – Georgia Institute of Technology - Keng Siau – City University of Hong Kong - Laurynas Adomaitis – NordSec - Lorenzo Pellegrini – University of Bologna - Luca Bedogni – University of Modena and Reggio Emilia - Maria Celia Fernández Aller – Technical University of Madrid - Maria Milossi – University of Macedonia - Marianna Ganapini – Union College - Marija Slavkovik – University of Bergen - Michele Loi – University of Zurich - Pradeep Murukannaiah – TU Delft, NL - Rajitha Ramanayake – University College Dublin - Seth D. Baum – Global Catastrophic Risk Institute - Stefan Sarkadi – INRIA, France

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Call for papers: 1st Workshop on Commonsense Reasoning and Knowledge Bases (CSKB 2021) at AKBC 2021
by Vered Shwartz 06 Jul '21

06 Jul '21

*Date:* Thursday, 7 October 2021 *Location*: Virtual, co-located with AKBC 2021 *Contact Email: *cskb-akbc21(a)googlegroups.com *Website:* http://akbc-cskb.github.io/ Recent advances in large pre-trained language models have shown that machines can directly learn large quantities of commonsense knowledge through self-supervised learning on raw text. However, they still fall short of human-like understanding capabilities: they make inconsistent predictions, learn to exploit spurious patterns, and fail to robustly apply learned knowledge to downstream applications. Consequently, the development and integration of unpaired, outside knowledge representation sources remains critically important to provide machine commonsense engines with scaffolding to learn structured reasoning. We organize this workshop to encourage discussion of current progress on building machines with commonsense knowledge and reasoning abilities, with special focus on commonsense knowledge bases (CSKBs). *** Topics of Interest *** Topics of interest include, but are not limited to: * Resources: acquiring commonsense knowledge (from text corpora, images, videos, pre-trained neural models, etc.); constructing and completing (semi-)structured CSKBs; consolidating CSKBs under unified schemas. * Benchmarks: designing challenging tasks and building datasets to evaluate models' commonsense knowledge and reasoning abilities; designing new evaluation schemas and metrics for commonsense reasoning tasks, particularly for open-ended and generative tasks. * Methods: methods for commonsense reasoning tasks; methods that integrate CSKBs and neural models; methods that use CSKBs to improve the interpretability and explainability of neural models for commonsense reasoning and more. * Analysis: methods to probe commonsense knowledge from NLP models; methods to understand reasoning mechanisms of existing methods; methods that identify limitations of existing methods for AI applications (including but not limited to NLP, CV and robotics) due to lack of commonsense knowledge. *** Submission Information *** Papers should be submitted in OpenReview: https://openreview.net/group?id=AKBC.ws/2021/Workshop/CSKB. We solicit two categories of papers: * Workshop papers: describing new, previously unpublished research in this field. The submissions should follow the AKBC 2021 style guidelines: https://github.com/akbc-conference/style-files/blob/master/akbc-latex.zi... and contain up to 10 pages, excluding references and appendices (which should be put after references). Submissions will be subject to a single-blind review process (i.e. they need not be anonymized). Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account. * Papers on topics relevant to the workshop theme, previously published at NLP or ML conferences. These papers can be submitted in their original format. Submissions will be reviewed for fit to the workshop topics. In both categories, accepted papers will be published on the workshop website (note that the workshop is non-archival), and will be presented at the workshop either as a talk or a poster. *** Important Dates *** * All paper submissions due – August 5, 2021 * Notification of acceptance – Sep 10, 2021 * Camera-ready papers due – September 30, 2021 * Workshop – October 7, 2021 *** CSKB 2021 Keynote Speakers *** We’re excited to have the following keynote speakers at CSKB 2021: * Rachel Rudinger, University of Maryland * Sara Hooker, Google Brain * Maarten Sap, Allen Institute for AI (AI2) and CMU * Xiang Ren, University of Southern California We will also be holding a panel discussion with the invited speakers as well as the following panelists: * Mohit Bansal, University of North Carolina at Chapel Hill * Greg Durrett, UT Austin * Sameer Singh, UC Irvine * Aida Nematzadeh, DeepMind *** Organizing Committee *** Vered Shwartz, Allen Institute for AI (AI2), University of Washington, and University of British Columbia Antoine Bosselut, Stanford University and EPFL Xiang Lorraine Li, UMass Amherst Bill Yuchen Lin, University of Southern California

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last days to submit to the IEEE International Conference on ICT solutions for eHealth (ICTS4eHealth) - submission deadline July 1, 2021
by Ivanoe De Falco 28 Jun '21

28 Jun '21

Dear colleagues, this is a kind reminder that these are the last days to submit to the IEEE ICTS4eHealth Conference has been extended to July 1, 2021. Please note that this deadline is firm and final. We also remind you that the Best Conference Paper Award is sponsored by MDPI Computers Journal with a prize money amounting to 300 CHF. Additionally, authors of papers presented at this conference may submit a technically extended version to two Special Issues, one on Sensors Journal (IF 2019: 3.275) and another one on Computers Journal (indexed in ESCI-Web of Science and Scopus). Please find below the Call For papers. We do hope it can be of interest to you. Yours sincerely the IEEE ICTS4eHealth Conference Chairs [Apologies if you receive multiple copies of this CFP] ======================================================= IEEE International Conference on ICT Solutions for e-Health ICTS4eHealth 2021 Athens, Greece, September 5-8, 2021 www.icts4ehealth.icar.cnr.it in conjunction with the Twenty-Sixth IEEE Symposium on Computers and Communications ======================================================= MISSION: ----------------------------------------------------------------------------------------------- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. Following five successful workshop editions, ICTS4eHealth 2021 is the International IEEE Conference dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The conference will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence techniques in the area of eHealth. TOPICS: ----------------------------------------------------------------------------------------------- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data - User-centered design of electronic assistive technologies - Usability of assistive technologies - Computer vision in AT - User interfaces for home-based assistive technologies - Use of prescription systems and assistive technologies - Experience from real world assistive environment deployment - Assistive Technologies for Urban Environments - Healthcare modeling and simulation - Knowledge discovery and decision support - Biomedical data processing - Wearable devices - Sensor-based mHealth applications IMPORTANT DATES (EXTENDED, FIRM AND FINAL): ----------------------------------------------------------------------------------------------- • Submission deadline: July 1, 2021 • Notification of paper acceptance: July 22, 2021 • Submission of camera-ready papers: August 5, 2021 • Registration: August 5, 2021 PAPER SUBMISSION: ----------------------------------------------------------------------------------------------- Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, figures and references. Download manuscript templates for IEEE conference proceedings from: https://www.ieee.org/conferences_events/conferences/publishing/templates.ht… Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted. In IEEE ICTS4eHealth 2021, as well as in IEEE ISCC 2021, all submissions must be done through EDAS by using the link https://edas.info/N28521. Accepted papers will be included in the IEEE ISCC 2021 Proceedings and will be submitted for inclusion to IEEE Xplore. The ISCC Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the ISCC conference one of the publication venues with very high visibility and impact in both Computer and Communications areas. SPECIAL ISSUES: ----------------------------------------------------------------------------------------------- Authors of papers presented at this conference may submit a technically extended version to Special Issues with reduced or no fees: - MDPI Sensors Journal (Impact Factor 2019: 3.275, Journal Rank: JCR - Q1 (Instruments & Instrumentation) / CiteScore - Q1 (Instrumentation)) Special Issue on “The power of edge computing and IoT to support healthcare” - MDPI Computers Journal (Journal Rank: JCR - Q2 (Computer Networks and Communications) Special Issue on “Artificial Intelligence and Machine Learning approaches for eHealth” Other Special Issues will be announced. BEST PAPER AWARD: ----------------------------------------------------------------------------------------------- A "Best Paper Award" Certificate will be conferred on the author(s) of a paper presented at the workshop, selected by the Chairs based on scientific significance, originality and outstanding technical quality of the paper, as assessed also by the evaluations of the members of the Program Committee. The Best Conference Paper Award is sponsored by MDPI Computers Journal. The authors of this paper will be entitled a prize money amounting to 300 CHF. Please visit http://icts4ehealth.icar.cnr.it for more information and if you have any questions kindly get back to us by sending an email at icts4ehealth(a)googlegroups.com. Kind regards, ICTS4eHealth Organising Committee

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two weeks left to submit to the IEEE International Conference on ICT solutions for eHealth (ICTS4eHealth) - submission deadline extended to July 1, 2021
by Ivanoe De Falco 21 Jun '21

21 Jun '21

Dear colleagues, this is a kind reminder that the submission deadline for the IEEE ICTS4eHealth Conference has been extended to July 1, 2021. Please note that this new deadline is firm and final. We also remind you that the Best Conference Paper Award is sponsored by MDPI Computers Journal with a prize money amounting to 300 CHF. Additionally, authors of papers presented at this conference may submit a technically extended version to two Special Issues, one on Sensors Journal (IF 2019: 3.275) and another one on Computers Journal (indexed in ESCI-Web of Science and Scopus). Please find below the Call For papers. We do hope it can be of interest to you. Yours sincerely the IEEE ICTS4eHealth Conference Chairs [Apologies if you receive multiple copies of this CFP] ======================================================= IEEE International Conference on ICT Solutions for e-Health ICTS4eHealth 2021 Athens, Greece, September 5-8, 2021 www.icts4ehealth.icar.cnr.it in conjunction with the Twenty-Sixth IEEE Symposium on Computers and Communications ======================================================= MISSION: ----------------------------------------------------------------------------------------------- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. Following five successful workshop editions, ICTS4eHealth 2021 is the International IEEE Conference dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The conference will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence techniques in the area of eHealth. TOPICS: ----------------------------------------------------------------------------------------------- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data - User-centered design of electronic assistive technologies - Usability of assistive technologies - Computer vision in AT - User interfaces for home-based assistive technologies - Use of prescription systems and assistive technologies - Experience from real world assistive environment deployment - Assistive Technologies for Urban Environments - Healthcare modeling and simulation - Knowledge discovery and decision support - Biomedical data processing - Wearable devices - Sensor-based mHealth applications IMPORTANT DATES (EXTENDED, FIRM AND FINAL): ----------------------------------------------------------------------------------------------- • Submission deadline: July 1, 2021 • Notification of paper acceptance: July 22, 2021 • Submission of camera-ready papers: August 5, 2021 • Registration: August 5, 2021 PAPER SUBMISSION: ----------------------------------------------------------------------------------------------- Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, figures and references. Download manuscript templates for IEEE conference proceedings from: https://www.ieee.org/conferences_events/conferences/publishing/templates.ht… Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted. In IEEE ICTS4eHealth 2021, as well as in IEEE ISCC 2021, all submissions must be done through EDAS by using the link https://edas.info/N28521. Accepted papers will be included in the IEEE ISCC 2021 Proceedings and will be submitted for inclusion to IEEE Xplore. The ISCC Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the ISCC conference one of the publication venues with very high visibility and impact in both Computer and Communications areas. SPECIAL ISSUES: ----------------------------------------------------------------------------------------------- Authors of papers presented at this conference may submit a technically extended version to Special Issues with reduced or no fees: - MDPI Sensors Journal (Impact Factor 2019: 3.275, Journal Rank: JCR - Q1 (Instruments & Instrumentation) / CiteScore - Q1 (Instrumentation)) Special Issue on “The power of edge computing and IoT to support healthcare” - MDPI Computers Journal (Journal Rank: JCR - Q2 (Computer Networks and Communications) Special Issue on “Artificial Intelligence and Machine Learning approaches for eHealth” Other Special Issues will be announced. BEST PAPER AWARD: ----------------------------------------------------------------------------------------------- A "Best Paper Award" Certificate will be conferred on the author(s) of a paper presented at the workshop, selected by the Chairs based on scientific significance, originality and outstanding technical quality of the paper, as assessed also by the evaluations of the members of the Program Committee. The Best Conference Paper Award is sponsored by MDPI Computers Journal. The authors of this paper will be entitled a prize money amounting to 300 CHF. Please visit http://icts4ehealth.icar.cnr.it for more information and if you have any questions kindly get back to us by sending an email at icts4ehealth(a)googlegroups.com. Kind regards, ICTS4eHealth Organising Committee

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