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Call for Participation / EU COST Action `Multi3Generation' Training School
by Iacer Calixto 29 Apr '22

29 Apr '22

Apologies for cross-posting! === Call for Participation / EU COST Action `Multi3Generation' Training School *TRAINING SCHOOL 2022* *REPRESENTATION MEDIATED MULTIMODALITY: *GROUNDED REPRESENTATION, REASONING, AND LEARNING FOR INTERACTIVE INTERPRETATION https://codesign-lab.org/school2022/ Initiative of EU COST Action / Multi3Generation > https://multi3generation.eu *ABOUT THE TRAINING SCHOOL* The training school on ``Representation Mediated Multimodality'' provides a consolidated perspective on the theoretical, methodological, and applied understanding of representation mediated multimodal sensemaking at the interface of language, knowledge representation and reasoning, and visuo-auditory computing. Intended purposes -addressed in the school- encompass diverse operative needs such as explainable multimodal commonsense understanding, multimodal generation/synthesis for communication, multimodal summarisation, multimodal interpretation guided decision-support, adaptation & autonomy, and analytical visualisation. The training school particularly consolidates and presents a novel and emerging view of state-of-the-art multimodal, neurosymbolic grounding primarily through a confluence of methods in Artficial Intelligence, Computational Linguistics, Vision, Speech and their impact on interactional and communicative acts/artefacts in everyday life and specialist professional work. Here, multimodal interpretation is to be construed in the context of diverse forms of imagery, e.g., encompassing perceptual and communicative data sources such as image, video, language, audition, text, eye-tracking, neurophysiological markers in behavioural / clinical settings. In this backdrop, the training school particularly focusses on grounded knowledge representation, reasoning, and learning (for linguistic purposes) through the following emerging research-driven themes that are of high interest: - Space and Language - Computational Linguistics - Cognitive Linguistics - Cognitive Vision - Vision and Language - Neurosymbolism - Narrative - Discourse - Computational Models of Narrative - Speech and Language Technologies - Human-Centred AI The principal training school programme --consisting of keynotes, invited talks, and tutorials-- will categorically address questions such as: - Explainability and transparency in multimodal models - Neurosymbolism / Interaction between symbolic and sub-symbolic representations in models - Commonsense knowledge representation and reasoning, and its role in multimodal models - Complementarity / redundancy among data sources or modalities - Situated reasoning, e.g., for language generation, decision-making Of particular significance to the training school are themes that benefit both public and private human-centred technological services most directly affecting EU citizens in an accessible, multilingual Europe, and have strong economic and societal impacts. The training school will focus on human-machine interaction considerations in select application areas of emerging societal significance, such as autonomous systems, cognitive robotics, multi-lingual language technologies. Location: Schloss Etelsen / Bremer Straße 2, 27299 Langwedel, Germany Travelling to Schloss Etelsen / https://schloss-etelsen.de <http://schloss-etelsen.de/> The school is being organised as part of the COST action Multi3Generation ( https://multi3generation.eu) For more information on the school and programme visit: https://codesign-lab.org/school2022/ *TARGET AUDIENCE* Participants are expected to primarily be doctoral candidates and research-driven students. Participants interested in obtaining a scholarship should submit an application to participate as per Application Guidelines (details below). Selected applicants will be financially supported for their participation in the school. The Scholarship includes travel expenses and a daily allowance which covers accommodation, meals, and local travel expenses. The exact amount of the scholarship is based on the expected costs and the maximal amount for reimbursement will be communicated after acceptance. *APPLICATION -OR- EXPRESSION OF INTEREST* Applications are accepted and evaluated in two rounds, with a first deadline on *May 15 2022*, and a second deadline on *June 5 2022*; after this date, new applications will only be considered if there are still places available (please note that places are limited even if a scholarship is not sought). - Application to participate (with scholarship): PRESENTLY OPEN / Submit: Easychair: Training School 2022 <https://easychair.org/conferences/?conf=dcts2022> - Expression of interest to participate (without scholarship): PRESENTLY OPEN / Email: contact School Chair *Important Dates: * - First deadline : May 15 2022 (application process remains open for late applications) - First notification: May 23 2022 - Second deadline: June 5 2022 - Second notification: June 13 2022 *SCHOLARSHIP ELIGIBILITY AND GUIDELINES * For participation with a scholarship, the Training School is primarily (but not exclusively) aimed at early stage doctoral researchers and research-inclined students enrolled full-time in an advanced educational programme. Eligible candidates have to comply with the COST Vademecum ( https://www.cost.eu/uploads/2021/04/Vademecum-28-April-2021.pdf), i.e., they shall be affiliated to, an academic institution, organisation or company which has within its remit a clear association with performing research and is from a COST Full Member, a COST Cooperating Member country, or a Near Neighbour Country (NNC) (https://www.cost.eu/about/members/). Eligible candidates need to submit the following items in a single PDF document via Easychair: 1. One-page CV 2. Reference letter by principal research/thesis advisor, motivating the need for financial support 3. In max 300 words, Research Description (if already pursuing a thesis or similar), or else a Motivating Statement of Interest in the topics of the school. If applicable, also include at most two brief citations to your own most relevant peer-reviewed publications (do not cite unpublished or informal publications). 4. Candidates who receive a Scholarship to join the Training School are expected to participate and present their research in a doctoral colloquium during the school; further guidelines about the doctoral colloquium will be provided with the letter of acceptance. *SELECTION CRITERIA* Applicants will be selected based on personal research interest and experience relevant to the school’s theme and topics. The selection committee will do their best in terms of ensuring fair and inclusive distribution with respect to gender, geographic location. Following acceptance, applicants will have to register via the e-COST platform and add their banking and other details in order to receive a formal invitation via e-COST and be eligible for reimbursement of costs. A requirement to be reimbursed is that accepted participants officially apply to become members of Multi3Generation (details will be provided as part of the notification). *ORGANIZATION* *Training School 2022 Chairs* - Mehul Bhatt (Örebro University, Sweden) - Albert Gatt (Utrecht University, Netherlands) - Erkut Erdem (Hacettepe University, Turkey) - Helena Moniz (University of Lisbon, Portugal) *Doctoral Colloquium Chairs* - Adrian Muscat (University of Malta, Malta) - Jakob Suchan (DLR, Germany) *Publicity and Industrial Outreach Chairs* - Iacer Calixto (University of Amsterdam, Amsterdam University Medical Centers, Netherlands) - Fabio Kepler (Unbabel) - José Guilherme Camargo de Souza (Unbabel)

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2nd IEEE ICTS4eHealth Conference: deadline extended to April 4, 2022
by Ivanoe De Falco 28 Mar '22

28 Mar '22

Dear colleagues, this message is to inform you that, due to many requests, the paper submission deadline has been extended to APRIL 04, 2022. Please note that this new deadline is firm and final. Yours sincerely IEEE ICTS4eHealth Conference Chairs ======================================================= 2nd Edition of IEEE International Conference on ICT Solutions for e-Health ICTS4eHealth 2022 Rhodes, Greece, June 30 - July 03, 2022 www.icts4ehealth.icar.cnr.it in conjunction with the Twenty-Seven IEEE Symposium on Computers and Communications Submit your paper by using the link: https://edas.info/N29419 ======================================================= 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. Following five successful workshop editions, last year ICTS4eHealth became an International IEEE Conference, and we are now proud to announce the second edition of this popular 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: ----------------------------------------------------------------------------------------------- • Submission deadline: APRIL 04, 2022 (EXTENDED) • Notification of paper acceptance: APRIL 29, 2022 (EXTENDED) • Submission of camera-ready papers: May 06, 2022 • Registration: May 06, 2022 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 2022, as well as in IEEE ISCC 2022, all submissions must be done through EDAS by using the link https://edas.info/N29419. Accepted papers will be included in the IEEE ISCC 2022 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. 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. 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 Kind regards, IEEE ICTS4eHealth 2022 Organization

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Fully-funded PhD in the University of Amsterdam - Responsible NLP and data management for mental health
by Iacer Calixto 07 Mar '22

07 Mar '22

*Fully-funded PhD *on* responsible natural language processing and data management for mental health *at the *University of Amsterdam*: https://vacatures.uva.nl/UvA/job/PhD-Position-in-Responsible-Natural-Langua… Great opportunity to design, build, and evaluate state-of-the-art neural pipelines including cross-lingual / domain adaptation, and to look into data integration (clinical / non-clinical), among other cool topics! This position has a very unique setup where you will be also affiliated with the Academic Medical Center (AMC-UvA) <https://www.amc.nl/web/home.htm>, the Data Science Center <https://dsc.uva.nl/>, and the data engineering lab (INDELab <https://indelab.org/>).

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confirmation mail!!
by 066 Chaitanya Rai 03 Mar '22

03 Mar '22

confirmation mail!!

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[CFP, deadline March 4th] Las Palmas de Gran Canaria, Spain, hosts APPIS 2022 - 22-25 March 2022
by n.strisciuglio＠rug.nl 01 Mar '22

01 Mar '22

Deadline for submission on March 4th The 4th International Conference on Applications of Intelligent Systems, APPIS 2022, will be held on 22-25 March 2022 in Las Palmas de Gran Canaria, Spain. APPIS 2022 is organized by the University of Groningen, University of Twente and the University of Las Palmas de Gran Canaria, and includes a <http://appis.webhosting.rug.nl/2022/wismal-2022/> Winter School on Machine Learning (WISMAL 2022). APPIS 2022 aims at bringing together scientists who develop or apply intelligent systems, machine learning, artificial intelligence, pattern recognition, and related methods. APPIS 2022 welcomes (but is not limited to) abstract contributions related to the following topics: * Images, videos and time-series analysis * Machine learning and representation learning * Statistical and structural pattern recognition * Data visualization and dimensionality reduction * Robotics * Intelligent systems in health and medicine * Cyber computing and security * Bio-informatics * Data mining * Deep and reinforcement learning * Cognitive discovery * Algorithms for embedded and real-time systems * Semantic technologies * Intelligent buildings * Intelligent sensors and sensor networks * Augmented reality * Adaptive systems * Fuzzy systems * Human-machine interaction * Natural language processing * Situation awareness systems * Recommender systems ============================================================= APPIS 2022 accepts submissions of abstracts (1-2 pages in the ACM format). Abstracts must be submitted electronically through the APPIS 2022 conference web site in pdf format. Find more information in the submission page. Each accepted contribution must be presented by one of the authors and accompanied by at least one full registration fee payment. Registration fee: 200 Euro, including participation in the Winter School on Machine Learning, WISMAL 2022. Since the number of participants is limited to 70, we recommend you to register and secure your participation as soon as possible. =============================================================| Winter School on Machine Learning - WISMAL 2020 APPIS includes a short winter school consists of several tutorials that present different techniques of Machine Learning. Please find more information at the <http://appis.webhosting.rug.nl/2022/wismal-2022/> WISMAL 2022 page. The participation in the winter school is free of charge for registered participants in APPIS 2022. The number of participants in the winter school is limited to 70 and early registration is encouraged. ============================================================= Abstract paper due - 4 March 2022 Abstract acceptance notification - 8 March 2022 Early registration - 15 March 2022 Conference - 22-25 March 2022 Please find more information on the <http://appis.webhosting.rug.nl/2022/> conference website. the conference co-chairs Nicolai Petkov Nicola Strisciuglio Carlos Travieso-Gonzalez

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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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