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The 2026 10th International Conference on Digital Technology in Educationhttps://www.icdte.orgWe are pleased to invite you to join us for the 10th International Conference on Digital Technology in Education (ICDTE 2026), which will take place from October 30-November 1, 2026 in the beautiful city of Okayama, Japan. ICDTE 2026 is organized by Okayama University, Japan and supported by Nihon University, Japan, Shonan Institute of Technology, Japan, University of Muenster, Germany and Multimedia University, Malaysia. It brings together researchers, educators, industry professionals, and students from around the world to explore the frontiers of digital technology in education. From AI-powered learning tools to immersive environments and educational data analytics, ICDTE serves as a vibrant platform for academic exchange, innovation, and collaboration. We welcome you to share your insights, present your research, and engage with a global community passionate about shaping the future of education through technology. Stay tuned for keynote announcements, submission deadlines, and program updates. We look forward to seeing you in Okayama!Call for Papers| CFP Flyer2026 10th International Conference on Digital Technology in Education (ICDTE 2026) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Digital Technology in Education. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Educational Software & Serious GamesEducational Software ExperiencesComputer Software on EducationEducational/Serious GamesGamificationVideos for LearningEducational Multimedia and HypermediaAnimation and 3D SystemsVirtual Reality and Artificial Intelligence in EducationAdaptive Educational SystemsIntelligent ModellingAuthoring Tools for Intelligent Tutoring SystemsLearning with AI SystemsAgent-Based Learning EnvironmentsArchitectures for AI-based Educational SystemsMachine LearningLearning Analytics and Educational Data MiningPedagogical AgentsNatural Language Processing2D/3D and volumetric display and projection technology3D authoringImmersive / 360° videoImmersive analytics and visualizationMulti-user and distributed systemsMultimodal capturing and reconstructionScene description and management issuesSoftware architectures, toolkits, and engineeringTracking and sensingTraining, teaching, entertainment Digital LearningE-Learning Projects and ExperiencesBlended LearningMobile LearningMassive Open Online Courses (MOOCs)Distance LearningOnline/Virtual LaboratoriesVirtual UniversitiesE-Tutoring & MentoringIntelligent Tutoring Systems (ITS)Virtual Learning Environments (VLEs)Learning Management Systems (LMS)Personal Learning Environments (PLEs)E-Learning StandardsEducational Informatization and Digital Education PlatformsTechnology-Enhanced LearningFlipped ClassroomThe Impact of Web Technologies on EducationWeb Classroom ApplicationsBYOD (Bring your own device) and 1:1 LearningMobile and Tablet TechnologiesVirtual Reality and 3D ApplicationsICT skills and Digital literacyICT for DevelopmentIntelligent Systems and UX for EducationOpen Educational ResourcesOpen Access EducationKnowledge ManagementDigital Libraries and RepositoriesE-PortfoliosUser-Generated ContentLearning Analytics

The UK’s National AI Strategy If you are interested in learning more about the UK’s National AI Strategy, additional details can be found on the original platform at the following link:https://aistandardshub.org/the-national-ai-strategyhttps://www.linkedin.com/company/ai-standards-hub/The following information presents the UK government’s position on AI as set out in the UK’s National AI Strategy, and highlights how the AI Standards Hub will contribute to the delivery of the UK’s vision and outcomes for AI. The National AI Strategy outlines the United Kingdom’s long-term vision for becoming a global leader in artificial intelligence by promoting innovation, investment, and responsible AI governance. The strategy focuses on three major pillars: strengthening the AI ecosystem through research and talent development, supporting the transition to an AI-enabled economy across industries, and establishing effective national and international AI governance frameworks.A key component of the strategy is the development of trustworthy and ethical AI through international technical standards. The UK established the AI Standards Hub to support collaboration among government, academia, industry, and international partners in shaping global AI standards. The initiative aims to improve AI reliability, transparency, security, and interoperability while encouraging innovation and public trust in AI technologies.The strategy also emphasizes a “pro-innovation” approach to AI governance by balancing regulation with technological advancement. The government supports the creation of AI governance tools, standards, and policy frameworks that encourage responsible AI adoption while protecting public values, human rights, and economic competitiveness. In addition, the strategy highlights the importance of international cooperation, AI ethics, and long-term AI safety in supporting sustainable digital transformation.LSE to launch Global Forum on AI and the Social Sciences with $2m award from the MacArthur Foundationhttps://www.lse.ac.uk/dsi/news/2026/global-forum-announcedThe London School of Economics and Political Science (LSE) has announced the launch of a new Global Forum on AI and the Social Sciences, supported by a $2 million grant from the John D. and Catherine T. MacArthur Foundation. The initiative aims to bring together policymakers, researchers, industry leaders, and civil society representatives to explore how artificial intelligence can better serve society and human needs through evidence-based research and international collaboration.The Forum will be led by professors from LSE’s Data Science Institute (DSI) and will focus on the social and economic impacts of AI. Each year, the Forum will address a different major AI-related issue. The inaugural event, scheduled for September 2026 at LSE, will examine how AI is transforming the future of work and how governments, businesses, and workers can prepare for these changes.In addition, LSE plans to publish an annual State of AI and Society Report to summarize current research findings, identify knowledge gaps, and support informed policymaking. The initiative will also introduce a Commitment Charter, encouraging cooperation among governments, researchers, industry, and funding organizations to promote responsible and human-centered AI development. Overall, the Forum aims to position social science research at the center of global AI discussions and governance.Ethics of AIOnline coursehttps://cmu.to/92C4MThe LSE Ethics of AI Online Course is a short online program developed by London School of Economics and Political Science that focuses on the ethical, social, and political implications of artificial intelligence. The course is designed to help learners understand how AI affects governments, businesses, and society while developing practical skills for addressing ethical challenges related to AI technologies.The program explores major topics such as algorithmic bias, fairness, transparency, privacy, democracy, workplace inequality, and AI governance. Participants learn how AI systems can influence decision-making, hiring processes, public administration, and social structures. The course also discusses the responsibilities of governments and multinational companies in designing and deploying responsible AI systems.The course is structured into three main modules covering AI and the state, AI and business, and AI and society. Through case studies, discussions, and practical activities, learners develop critical thinking skills to evaluate ethical dilemmas and understand global approaches to AI regulation and governance. Overall, the course emphasizes human-centered and responsible AI development while preparing professionals to navigate the growing impact of AI in real-world contexts.

ICEEG 2026University of Western Australia|Perth, Australia|November 16-18, 2026Conference Theme: Harnessing AI and Emerging Technologies for E-Commerce, E-Business, and E-Government Successhttps://www.iceeg.orgThe conference and program committee of ICEEG 2026 would like to invite those working in areas related to E-Commerce, E-Business and E-Government to submit full paper or abstract, which will be presented as either oral or poster at the conference.Welcome to ICEEG 2026!It is with great enthusiasm that we invite you to join us at The 9th International Conference on E-Commerce, E-Business, and E-Government (ICEEG 2026) , which will take place from November 16-18, 2026, in the historic city of Perth, Australia .As we stand at the forefront of a digital revolution, ICEEG 2026 will bring together leading scholars, industry experts, and professionals from around the globe to explore the dynamic intersections of E-Commerce, E-Business, and E-Government. Under the theme, “Harnessing AI and Emerging Technologies for E-Commerce, E-Business, and E-Government Success,” this conference aims to shine a spotlight on how cutting-edge innovations such as artificial intelligence, blockchain, and digital transformation are redefining these sectors and shaping the future of our global economy.Over three days, ICEEG 2026 will provide a vibrant platform for exchanging ideas, showcasing research, and discussing strategies to unlock new possibilities in the digital realm. Whether you are a researcher, policymaker, entrepreneur, or practitioner, your presence and participation will contribute to insightful discussions and collaborations that will drive the future of E-Commerce, E-Business, and E-Government.Conference ProceedingsSubmissions will be peer-reviewed by 2-3 technical committee or reviewers. Accepted and registered papers will be published in the ICEEG 2025 Conference Proceedings, and it will be indexed by Ei compendex and Scopus.Journal PublicationSelected papers from the conference will undergo second round of blind review for potential publication in the Journal of Advances in Information Technology (JAIT).Topics of interest include, but are not limited to:AI-Driven Innovations in E-Commerce and E-BusinessAI and Machine Learning Applications in Online RetailPredictive Analytics and Consumer Behavior ModellingPersonalized Shopping Experiences through AIChatbots, Virtual Assistants, and Customer Service AutomationAI in Supply Chain and Inventory ManagementBlockchain Technology in E-Commerce, E-Business, and E-GovernmentBlockchain for Secure Transactions and PaymentsSmart Contracts in Business OperationsDecentralized Finance (DeFi) and E-CommerceEnhancing Transparency and Trust in Digital Governance with BlockchainBlockchain for Secure Digital Identity and Data ManagementDigital Transformation Strategies for E-Commerce and E-GovernmentThe Role of Emerging Technologies in Public Sector TransformationE-Government Services: Enhancing Efficiency through Digital ToolsDigital Transformation in Small and Medium Enterprises (SMEs)Cloud Computing and SaaS in E-Business OperationsDigital Infrastructure for Seamless Business OperationsCybersecurity and Data Privacy in the Digital EconomyProtecting Consumer Data in E-Commerce PlatformsRegulatory and Ethical Considerations for AI and Data PrivacyAddressing Cybersecurity Challenges in E-Government ServicesCryptographic Methods for Securing Digital TransactionsEnsuring Trust and Safety in the Digital MarketplaceSustainability and Social Responsibility in Digital CommerceGreen Technologies for Sustainable E-CommerceAI for Sustainable Business PracticesEthical Issues in AI-Driven E-Commerce and Business ModelsE-Waste Management in Digital TransformationSocially Responsible E-Government InitiativesThe Future of Digital Payments and Fintech SolutionsAI-Driven Financial Technologies (FinTech) in E-CommerceDigital Wallets and Contactless Payments: Opportunities and ChallengesCross-border Payments and Currency InnovationThe Rise of Cryptocurrencies and Their Impact on E-CommerceFinancial Inclusion through Emerging Payment TechnologiesConsumer Experience and Engagement in the Digital EraLeveraging AI for Enhancing Customer EngagementOmnichannel Retail Strategies and Customer JourneysVirtual Reality (VR) and Augmented Reality (AR) in E-CommerceGamification in E-Business and E-GovernmentCustomer Loyalty Programs Powered by Emerging TechnologiesSmart Cities and the Role of E-GovernmentLeveraging AI and IoT for Smart City GovernancePublic Services Automation and Smart Governance ModelsE-Government Services for Citizens: Access and InclusivityDigital Solutions for Urban Mobility and Public SafetyThe Future of Work in Public Sector DigitalizationCross-Border E-Commerce and Global Digital MarketsEmerging Trends in Global E-CommerceChallenges and Opportunities for Cross-Border E-CommerceInternational Regulations and Standards for Digital CommerceThe Impact of AI on Global Trade and Supply ChainsMarketplaces and Platforms for Global E-Commerce ExpansionEntrepreneurship and Innovation in the Digital AgeStartups and AI-Driven Business ModelsDigital Marketing and E-Commerce EntrepreneurshipVenture Capital and Investment Trends in Emerging TechnologiesBuilding Innovative Business Ecosystems in E-CommerceAI as a Tool for Business Strategy and Innovation Submission MethodsPlease submit your paper via: Online Submission System or conference email directly: iceeg@academic.net.Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference.Abstracts are accepted for oral presentation opportunity, not for publication, for those researches which are not ready for publication, you can also send us an abstract only.Full Paper Template: Full-Paper-Template.docx Abstract Template: Abstract-Template.doc

2026 the 4th International Conference on Intelligent Control and Computing (IC&C 2026)October 9-11, 2026 | Harbin, Chinahttps://www.icicc.orgSubmission Deadline: June 25, 2026Acceptance Notification: July 25, 2026Registration Deadline: August 10, 2026Conference Venue: Harbin Engineering University 2026 the 4th International Conference on Intelligent Control and Computing (IC&C 2026) will take place in Harbin, China, from October 9 to 11, 2026. The goal of this conference is to foster pure and applied researches in recognition of academic and industry, and to encourage interdisciplinary and international collaboration for the participants.The conference would be an ideal platform for keeping up with advances and changes to a consistently morphing field, we sincerely look forward to some exemplary and inspirational project experiences and innovations.Conference ProceedingsSubmissions will be reviewed by the conference technical committees, and accepted papers will be included in Conference Proceedings, and sent to Ei Compendex and Scopus for indexing. The authors of the papers will be invited to participate in the IC&C 2026 to display their research results.The topics of interests for submission include, but are not limited to:· Track 1: Intelligent Systems and ControlTrack Chairs: Assoc. Prof. Wen Xing, Harbin Engineering University, ChinaAssoc. Prof. Xiangli Jiang, Harbin Engineering University, ChinaAutonomous Systems and Self-Adaptive ControlLearning and Adaptive Control SystemsIntelligent Fault Detection, Diagnosis, and PrognosticsIntelligent Control Theory and ApplicationsHybrid Intelligent Systems (Neuro-Fuzzy, Evolutionary Systems)Neural Network-Based Control SystemsFuzzy Logic Control and ApplicationsMechatronic Systems and Optimization AlgorithmsIntelligent Robotics (Manipulators, Mobile Robots, Human-Robot Interaction)Intelligent Vehicle Control and Autonomous DrivingMulti-Agent Systems and Distributed Control· Track 2: Computer Systems and TechnologiesTrack Chairs: Assoc. Prof. Zhongping Zhang, Harbin Engineering University, ChinaAssoc. Prof. Chun Jia, Harbin Engineering University, ChinaMicroprocessor-Based and Embedded Control SystemsMotor Control and Power ElectronicsCloud Computing, Edge Computing, and Distributed SystemsBig Data Analytics and Data-Driven IntelligenceGreen Computing and Energy-Efficient SystemsSignal, Image, and Video ProcessingArtificial Intelligence and Machine Learning AlgorithmsUbiquitous and Pervasive ComputingEmbedded AI and TinyML· Track 3: Communication and NetworksTrack Chair: Assoc. Prof. Shou Feng, Harbin Engineering University, ChinaNetwork Intelligence and AI-Driven Network ControlIP Mobility Protocols and Mobile NetworksCommunications Software, Services, and MiddlewareInternet of Things and Cyber-Physical Systems5G/6G Communication Technologies for Intelligent Control and Computing (e.g., URLLC, Network Slicing)Internet Applications and Network ServicesVirtual Environments, Social Networks, and Metaverse ApplicationsWireless Sensor Networks and Ad-Hoc NetworksSecurity and Privacy for Intelligent Control and Computing Systems· Track 4: Emerging Interdisciplinary TechnologiesTrack Chairs: Assoc. Prof. Boyuan Zheng, Harbin Engineering University, ChinaAssoc. Prof. Chenglong Xu, Harbin Engineering University, ChinaDecision Support Systems and Intelligent AnalyticsRemote Sensing, Geospatial Intelligence, and Environmental MonitoringDigital Twins and Simulation-Based DesignAI for Healthcare, Smart Cities, and SustainabilityBlockchain Technologies and Decentralized IntelligenceGenerative AI for Intelligent SystemsPaper SubmissionFull Paper 论文模板 (.docx)Full Paper 论文模板 (LaTex)Abstract Template 摘要模板Please login in the Electronic Submission System to submit your paper.请登录 在线投稿系统 进行投稿You will receive the submission confirmation email from the conference committees within 2 working days. If you haven't received it, please contact us soon. (Email: icicc_conf@robotics.ac.cn)Publication History IC&C 2025 conference proceedings has been archived in IEEE XploreIC&C 2024 conference proceedings has been archived in IEEE Xplore | Ei-Compendex & ScopusIC&C 2023 conference proceedings has been archived in IEEE Xplore | Ei Compendex & Scopus

Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferenceshttps://arxiv.org/abs/2104.07237?utm_source=chatgpt.comRemco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. HorowitzLast revised 5 May 2021Countries, companies, and universities are increasingly competing over top-tier artificial intelligence (AI) researchers. Where are these researchers likely to immigrate and what affects their immigration decisions? We conducted a survey (n=524) of the immigration preferences and motivations of researchers that had papers accepted at one of two prestigious AI conferences: the Conference on Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML). We find that the U.S. is the most popular destination for AI researchers, followed by the U.K., Canada, Switzerland, and France. A country's professional opportunities stood out as the most common factor that influences immigration decisions of AI researchers, followed by lifestyle and culture, the political climate, and personal relations. The destination country's immigration policies were important to just under half of the researchers surveyed, while around a quarter noted current immigration difficulties to be a deciding factor. Visa and immigration difficulties were perceived to be a particular impediment to conducting AI research in the U.S., the U.K., and Canada. Implications of the findings for the future of AI talent policies and governance are discussed.Subjects:Computers and Society (cs.CY)ACM classes:K.7.4Cite as:arXiv:2104.07237 [cs.CY] (or arXiv:2104.07237v2 [cs.CY] for this version) https://doi.org/10.48550/arXiv.2104.07237Focus to learn moreRelated DOI:https://doi.org/10.1145/3461702.3462617

Call for Applicants in Natural Language Processing & Computational Linguistics - University of A Coruñahttps://euraxess.ec.europa.eu/jobs/hosting/msca-pf-2026-call-applicants-natural-language-processing-computational-linguisticshttps://portalinvestigacion.udc.gal/investigadores/214918/detalle?lang=enHosting InformationOffer Deadline: Tue, 30 Jun 2026 - 17:00EU Research Framework Programme: Horizon Europe - MSCACountry: SpainDr. David Vilares Calvo is seeking researchers who hold a PhD (with no more than 8 years of full-time equivalent research experience) and are interested in pursuing a research project in the framework of the Marie Curie Postdoctoral Fellowships 2026.Research Group SummaryThe Language and Information Society (LyS) research group is an interdisciplinary unit comprising experts in Computational Linguistics, Computer Science, and Artificial Intelligence; located at Universidade da Coruña (Spain). The group has a distinguished track record of publishing in top-tier NLP venues, including ACL, EMNLP, NAACL, EACL, and COLING, as well as leading specialized journals. Over the past decade, LyS has consistently ranked among the top 25 European institutions in Natural Language Processing, according to CSRankings. Furthermore, the group’s international standing is reflected in its membership in the ELLIS Society, currently counting two members within its ranks.Main lines of researchStructured Prediction and Green AI: Converting complex linguistic structures into efficient sequence-labeling tasks to enable deep analysis at a fraction of the traditional computational cost.LLM Probing: Investigating the divergence between human and LLM generation by analyzing incremental capabilities, internal representations, and training dynamics to decode how and when models acquire a given capability.Computational Sociolinguistics: Analyzing how language variation across cultures and digital platforms reflects social identity and influence, applied across a diverse range of computational problems.Biomedical NLP: Developing robust datasets and models for healthcare-related reasoning, with a focus on benchmarking how generative models handle the linguistic and conceptual complexity of the medical domain.Facilities, equipment & support from the group membersAs part of the University of A Coruña (UDC), the group has access to the Galicia Supercomputing Center (CESGA), which provides extensive CPU/GPU clusters and large-scale storage to support high-performance computing requirements. Locally, the project is integrated into the Research Center on Information and Communication Technologies (CITIC), a recognized center of excellence offering specialized facilities, including a shared cluster with 16 NVIDIA A100 GPUs. These regional and institutional resources are complemented by the LyS research group’s private infrastructure.The LyS group is an interdisciplinary research unit with a core NLP team currently composed of four professors, one postdoctoral researcher, and four Ph.D. students. The group maintains dedicated workspaces at both the CITIC research center and the Faculty of Computer Science.Potential research topicThe LyS group welcomes proposals that align with our core research interests, as well as other areas within Natural Language Processing. We are particularly interested in candidates who can demonstrate clear synergy between their own expertise and the group's ongoing research lines, in accordance with the primary objectives of the MSCA fellowships.RequirementsThe ideal candidate will hold a Ph.D. in Natural Language Processing and have a track record of publishing at top-tier venues, such as *ACL conferences or journals like Computational Linguistics, TACL, Language Resources and Evaluation, and Natural Language Engineering.We are looking for someone who can demonstrate significant research autonomy across the entire project lifecycle. This includes the ability to refine research objectives, build computational solutions, and conduct methodologically rigorous evaluations. Additionally, candidates should possess strong academic writing skills to lead the preparation and submission of high-quality manuscripts to leading venues in the field.Expressions of InterestInterested candidates should contact Dr. David Vilares Calvo (david.vilares@udc.es) as soon as possible. Emails should include a CV and a brief motivation letter.

TVET Smart Idea2Innovationhttps://nriis.go.th/home/news/12259Participation ProcessSubmit inventions and innovation works for the preliminary round through the National Research and Innovation Information System (NRIIS) at https://nriis.go.th.Teams that pass the selection process will participate in the activity TVET Smart Idea2Innovation: Vocational Inventions and Innovations Toward Practical Application, to be held during May–June 2026.Submissions are open from now until 23 March 2026.Qualifications of Participants(To promote equitable opportunity distribution and strengthen research networks)Target Group:Students at the Vocational Certificate (Por Wor Chor) Level, Year 1–2, or Higher Vocational Certificate (Por Wor Sor) Level, Year 1, in order to enable continuous development of their work prior to graduation.Team Composition:Each team must consist of 2 academic advisors and 2 students to ensure effective coaching and knowledge transfer.Selection Consideration:Institutions with diverse backgrounds will be considered, with emphasis on providing opportunities for “new generation researchers” whose research or inventions have not previously received awards.Categories of Inventions and InnovationsAgriculture and Agro-IndustryPublic Health, Health, Food, and Health ProductsInnovation and Artificial Intelligence Technology, Smart DevicesEnergy, Environment, Materials Technology, and BCG Economy ModelQuality of Life and Soft PowerFor Further Information (during official working hours):Research and Innovation Workforce Capacity Development GroupResearch and Innovation Resource Administration DivisionNational Research Council of Thailand196 Phahonyothin Road, Lat Yao Subdistrict, Chatuchak District, Bangkok 10900Tel: +66 2 579 1370–9 ext. 263–265 or 267Website: www.nrct.go.thE-mail: rinvec@nrct.go.thLine Official: @rin.nrctAlternatively, interested applicants may contact the Office of the Vocational Education Commission (OVEC), Bureau of Vocational Education Research and Development:Ms. Saisamorn Kumsumalee – Tel: 081-257-6963Ms. Sataporn Dumdang – Tel: 081-065-6267Email: ver.ip@vecmail.orgNote: The timeline may be adjusted as appropriate.

2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI)https://www.bdai.netSubmission Deadline: March 20th, 2026Notification Date: April 20th, 2026Big data and artificial intelligence are important fields for future scientific and technological development and industrial upgrading. The International Conference on Big Data and Artificial Intelligence is an academic conference initiated by Prof. Sheng-Uei Guan, Professor of Xi 'an Jiaotong-Liverpool University, and co-sponsored by many well-known universities and institutions at home and abroad. Since the first conference was held in Beijing in 2018, the conference has been held for 8 years. It has been focused on the original basic and applied research in the field of big data and artificial intelligence. BDAI attracts a large number of researchers from dozens of countries and regions, such as China, England, Finland, Russia, Thailand, Singapore, Turkey, Luxembourg, Germany, Malaysia, Japan, and Denmark.2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI) will be co-sponsored by Chongqing University of Science and Technology, China; IEEE China Council and IEEE from July 3-5, 2026 in Chongqing, China. This conference will focus on foundations of the original, either theoretical or applied research. It is suitable for experts and scholars in the field of big data and artificial intelligence. Papers can be submitted and presented for discussions. Industrial companies, incubators and investors are also welcome to join BDAI. The conference will provide a platform for scholars to interact and find new opportunities for science and technology development.Conference ProceedingsAll submissions will be peer reviewed, and the accepted papers will be published in the BDAI2026 Conference Proceedings by IEEE, Conference content will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex and Scopus, as well as other Abstracting and Indexing (A&I) databases.Call for PapersThe conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Big Data Models and AlgorithmsFoundational Models for Big DataAlgorithms and Programming Techniques for Big Data ProcessingBig Data Analytics and MetricsBig Data ArchitecturesCloud Computing Techniques for Big DataBig Data Open PlatformsBig Data in Mobile and Pervasive ComputingBig Data ManagementBig Data Persistence and PreservationBig Data Quality and Provenance ControlManagement Issues of Social Network Big DataBig Data Protection, Integrity and PrivacyModels and Languages for Big Data ProtectionPrivacy Preserving Big Data AnalyticsBig Data EncryptionBig Data ApplicationsAlgorithms and Systems for Big Data SearchMachine learning based on Big DataVisualization Analytics for Big DataArtificial IntelligenceIntelligent User InterfacesSoft ComputingNeural NetworksMachine LearningUncertainty in AIModel-Based ReasoningIndustrial applications of AITechnologies for Computational CommunicationBig Data Analytics for Online JournalismIntelligent Technologies for MediaIntelligent Information Processing and Applications Special SessionsSession 1: Human-Computer Interaction (HCI) in Intelligent Robotics and SystemsChair: Assoc. Prof. Haipeng Wang, Northwestern Polytechnical University, ChinaSession 2: Synergizing AI Innovations: From Perception to Prediction for Scientific Discovery and Complex Systems Chair: Prof. Huan Rong, Nanjing University of Information Science and Technology, ChinaSession 3: Artificial Intelligence and Security: Technologies, Risks, and Governance Chair: Assoc. Prof. Yang Bai, Chengdu University of Information Technology, ChinaSession 4: Intelligent Drive Data: The Fusion Revolution of Artificial Intelligence and Big DataChair: Dr. Ziyu Jia, Institute of Automation, Chinese Academy of Sciences, ChinaSession 5: Neurodynamic Optimization and Distributed ComputingChair: Dr. Jingxin Liu, Chongqing University of Science and Technology, ChinaCo-chair: Prof. Hengmin Zhang, East China University of Science and Technology, China

The 6th International Conference on Software Engineering and Artificial Intelligence (SEAI)June 19-21, 2026Fuzhou, ChinaPublication & IndexingAfter a careful reviewing process, all accepted and presented papers after proper registration and presentation, will be published into Conference Proceedings by IEEE, included into IEEE Xplore, and submitted for Ei Compendex and Scopus, like last few year. <IEEE CONFERENCE LIST>SEAI 2025丨ISBN: 979-8-3315-1361-0 丨IEEE Xplore丨Ei Compendex丨ScopusCall for PapersGeneral InformationThe conference is soliciting papers in fields of Artificial Intelligence, Software Engineering, and Computer related fields.The purpose of the Conference is to provide a common forum for researchers, scientists, and students from all over the world to present their latest research findings, ideas, developments and applications in the broader areas of Artificial Intelligence, and Software Engineering. Prospective authors are invited to submit research papers in the following areas, but not limited to:Artificial Intelligence & ApplicationsAI AlgorithmsKnowledge-based SystemsArtificial Intelligence tools & ApplicationsMechatronicsAutomatic ControlMultimedia & Cognitive InformaticsBioinformaticsNeural NetworksNatural Language ProcessingParallel ProcessingCAD Design & TestingPattern RecognitionComputer Vision and Speech UnderstandingPervasive computing and ambient intelligenceData Mining and Machine Learning ToolsProgramming LanguagesFuzzy LogicReasoning and EvolutionHeuristic and AI Planning Strategies and ToolsRecent Trends and DevelopmentsComputational Theories of LearningRoboticsHybrid Intelligent SystemsSemantic Web Techniques and TechnologiesInformation RetrievalSoft computing theory and applicationsIntelligent System ArchitecturesSoftware & Hardware ArchitecturesKnowledge RepresentationKnowledge-Based SystemIndustrial applications of AIVisualizationDeep LearningWeb Intelligence Applications & SearchSoftware Engineering Techniques and Production PerspectivesRequirements engineering Software analysis, design and modelingSoftware maintenance and evolutionSoftware engineering tools and environmentsSoftware engineering decision supportSoftware design patternsSoftware product lines Process and workflow managementReflection and metadata approachesProgram understanding and system maintenanceSoftware domain modeling and analysisSoftware economicsMultimedia and hypermedia software engineeringSoftware engineering case study and experience reportsEnterprise software, middleware, and toolsService-centric software engineeringService oriented requirements engineeringService oriented architectures Software Engineering MethodologiesAgent-based software engineeringArtificial intelligence approaches to software engineering Component-based software engineeringEmbedded and ubiquitous software engineeringAspect-based software engineeringEmpirical software engineeringSearch-Based Software engineeringAutomated software design and synthesisAutomated software specificationComputer-supported cooperative workAutomated software specificationAutomated software design and synthesisReverse engineeringSoftware & System Quality of ServiceSoft computingSoftware and system testing methodsQuality assurance process, standards, and systemsSoftware safety systemsSoftware test automation and toolsSoftware dependability, reliability, scalabilitySoftware & System SecuritySoftware and system security and privacyMobile app security and privacyEncryption methods and toolsSecurity service systemsCloud, sensor cloud and mobile cloud securityMobile system integrity, security, and fault tolerance

2026 IEEE the 14th International Conference on Smart Energy Grid Engineering (SEGE 2026)https://www.ieee-sege.comIndexing: Scopus, SCIE (Web of Science), Ei Compendex, RePEc,Inspec, CAPlus / SciFinder, and other databases.Conference Venue: Ontario Tech University, Oshawa, Canada2026 IEEE the 14th International Conference on Smart Energy Grid Engineering (SEGE 2026) will be held during August 19-21, 2026 at Ontario Tech University, Oshawa, Canada. This premier conference will feature a distinguished lineup of speakers and high-quality research papers, addressing topics including energy generation, grid transmission and distribution infrastructures, energy storage systems, electrification strategies, ICT integration, and energy system cybersecurity.Topics of interest include but not limited to the following:Quantum EnergyCarbon Capturing and Storage TechnologiesResilient / adaptive grid infrastructures design, planning, operation and managementThermal networks, storage, import / export, control, optimization, and applicationsHydrogen and natural gas networks, production and supply chain, integrationGas-power generation systems design and applicationsPower Electronic converters and drivesEnergy storage technologies and systemsDemand monitoring and energy Efficient SystemsFACTS, active power filters, power quality monitoring and performance enhancementSensors, communications and networkGrid modeling, simulation, and data managementEnergy efficiency, conservation, and savingsPlug-in Hybrid Electric Vehicle (PHEV) systems, CNG Vehicles, clean EnergyGrid protection, reliability, energy / power quality and maintenanceSmart metering, measurement, instrumentation, and controlInformation, security and privacyRenewable energy, wind, solar, fuel cells and distributed generation within microgridsComputational intelligence and optimizationSmart homes, cities, communitiesLife cycle assessment, pricing, policies, and energy planningEffects of climate change on health and the societySmart energy grid educationApplication of artificial Intelligence in power systemEffects of power engineering on the climate and the society.

IEEE Submission and Peer Review PoliciesIEEE Clarifies Guidelines on the Responsible Use of AI in Scholarly Publishinghttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/submission-and-peer-review-policies/#ai-generated-contentIEEE has reaffirmed its commitment to research integrity and transparency by issuing clear guidelines on the use of artificial intelligence (AI) in the preparation and submission of scholarly manuscripts. These policies ensure that innovation in AI-assisted research and writing is balanced with ethical responsibility and the preservation of trust in the peer-review process.Under IEEE’s submission and peer-review policies, authors are permitted to use AI-generated content—including text, figures, images, and code—provided that such use is explicitly and transparently disclosed. Authors must identify the AI tools used, specify the sections of the manuscript affected, and describe the nature of the AI contribution in the Acknowledgments section. Importantly, AI systems cannot be listed as authors, and full accountability for the accuracy, originality, and integrity of the work remains solely with the human authors.IEEE emphasizes that AI tools may assist researchers, but they do not replace scholarly judgment or ethical responsibility. Authors are expected to carefully review all AI-generated material to ensure correctness, proper attribution, and compliance with publication standards. The undisclosed or misleading use of AI-generated content may be treated as a breach of publishing ethics.In parallel, IEEE maintains strict confidentiality standards in the peer-review process. Reviewers are prohibited from using public AI tools to analyze submitted manuscripts, as doing so could compromise confidential content. Through these policies, IEEE aims to support responsible innovation while safeguarding the credibility, transparency, and integrity of the global scholarly record.Guidelines for Artificial Intelligence (AI)-Generated TextUse by Authors“ The use of content generated by artificial intelligence (AI) in an article (including but not limited to text, figures, images, and code) shall be disclosed in the acknowledgments section of any article submitted to an IEEE publication. The AI system used shall be identified, and specific sections of the article that use AI-generated content shall be identified and accompanied by a brief explanation regarding the level at which the AI system was used to generate the content.The use of AI systems for editing and grammar enhancement is common practice and, as such, is generally outside the intent of the above policy. In this case, disclosure as noted above is not required, but recommended. "

PhD Research Fellowship in AI, Politics and Societyhttps://www.kuleuven.be/personeel/jobsite/jobs/60607072?hl=enhttps://euraxess.ec.europa.eu/jobs/400168Application Deadline: 15 Mar 2026 - 23:59 (UTC)Offer DescriptionLINES & CRPD aim to launch a new research line on the broad theme of “AI, Politics and Society”. Artificial intelligence is rapidly transforming how decisions are made in government, business, and everyday life. This development offers significant opportunities, but it also introduces new political and societal challenges and risks. It is therefore essential to better understand how AI is—or may come to be—(re)shaping power, governance, and social relations in the future, and how societies can guide these technologies in democratic, fair, and accountable ways. As part of this new research line, we are seeking a highly motivated and outstanding doctoral candidate to join our research team. We welcome applicants who are eager to connect political and social analysis with the growing importance and impact of AI on (international) politics and society.You also contribute to collective responsibilities of the research group (such as educational services, team meetings, research proposals, supervision of bachelor and master students, invigilating exams, student recruitment activities, etc.).The applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.As part of the application process, applicants must submit a short research statement (maximum two pages) outlining their proposed research ideas. In this document, applicants should specify the context in which they wish to examine the growing impact, significance, and societal relevance of AI; explain why they consider this an important area for scholarly inquiry; and describe how they intend to investigate it (e.g., core research questions and methods).We welcome a broad range of proposals. Possible topics include, but are not limited to: how AI may (re)shape international politics; how states use AI strategies and regulation to gain geopolitical influence; the determinants of public acceptance of AI in governance and society; the use of AI in policymaking and in policy-relevant research; the distributional consequences of AI at local, national, or international levels; and how AI may affect citizens’ trust in government institutions.Your electronic application must include: Cover letterCVResearch statement (max. 2 pages)Copy of your Master’s thesisFull degree transcripts (both Bachelor’s and Master’s degrees)Short-listed candidates will be invited for an interview.You will receive a monthly scholarship in line with KU Leuven standards for PhD scholarships. You will initially be offered a one-year contract, which can be extended up to a total of four years.The scholarship provides access to social benefits, insurance coverage, and training opportunities.You will join a dynamic, international research team and receive support in developing your academic and professional career.Support is provided for conference participation, methodological training, and knowledge valorisation initiatives.For more information please contact CRPD Director, Prof. dr. Arnim Langer, mail: arnim.langer@kuleuven.beEligibility criteriaThe applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.

SDGs Symposium 2026 - AI and Sustainability: Opportunities and Challenges for a Sustainable FutureWe are pleased to announce that the SDGs Symposium 2026 - Al and Sustainability: Opportunities and Challenges for a Sustainable Future will be held on 17th February 2026. The event will take place in a hybrid format, both onsite at the University of Tokyo and online. We look forward to your participation.https://www.springernature.com/gp/researchers/campaigns/sdg-symposium-2026?lid=w1nflj8nra5y&utm_source=braze&utm_medium=email&utm_campaign=ACPG_NONE1_AWA1_W7_CEEV_06I8H_UTokyoSDGs25%20(SN_EN)_Variant%202&cep-id=68b66e22120a3c04ea90573aDate: Tuesday 17 February 2026Time: 14:00-17:10 JST (Symposium) 17:20-19:00 JST (Student poster session, Networking event)Venue: Ito International Hall, The University of Tokyo and Online (Zoom Webinar)Language: English (simultaneous Japanese translation)The event registration is free of charge.If you would like to request accommodations due to a disability, etc., please contact us here.Artificial Intelligence (AI) is transforming how we create, analyze, and act on information, driving innovation across industries and academia. It holds promise for creating sustainable solutions for optimizing resource use, improving inclusivity , and planning smart cities . Yet, AI also raises concerns . Its environmental footprint, including high energy and water consumption , remains poorly understood. Its societal risks such as widening inequalities , job losses, and biased decision-making demand urgent attention. This event aims to examine how AI can support the transition to a sustainable future and the achievement of the SDGs , while minimizing negative impacts. Discussions will focus on how to leverage AI’s potential to tackle sustainability challenges and create sustainable solutions, but also how to ensure transparency, inclusivity, and equity.Join leading researchers and students to engage in dynamic dialogue on AI’s role in shaping a sustainable and equitable society.

The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026)23-25 April , 2026, Krabi, ThailandLink: https://ieai.net/index.htmlSubmission Deadline: December 30, 2025Acceptance Notification: February 2, 2026Registration Deadline: February 28, 2026Conference Dates: April 23-25, 2026The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026) will be held in Krabi, Thailand, 23-25 April , 2026. It is a premier forum dedicated to the convergence of industrial engineering and artificial intelligence (AI). As industries worldwide rapidly adopt AI to enhance efficiency, productivity, and innovation, this conference aims to explore the latest advancements, research, and applications at this intersection.Key topics of interest include smart manufacturing, robotics, machine learning, predictive maintenance, digital twins, and the integration of AI into industrial processes. As we stand on the brink of the Fourth Industrial Revolution, IEAI 2026 will serve as a critical venue for discussing how AI can drive innovation and sustainability in industrial systems.Whether you are an academic researcher, a practitioner in the field, or an industry leader, IEAI 2026 will offer valuable insights and opportunities to engage with the cutting-edge developments that are shaping the future of industrial engineering and artificial intelligence.IEAI PublicationThe submitted papers will be peer reviewed by Technical Committee. Accepted papers will be published in the International Conference Proceedings. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conferenceCall for Papers1. Applications of AI in Industrial EngineeringIntelligent Manufacturing SystemsAI-Driven Process OptimizationSmart Factories and Industry 4.0AI for Predictive Maintenance in Industrial SystemsRobotics and Automation in ManufacturingAI in Supply Chain and Logistics OptimizationData-Driven Decision Making in Industrial Environments2. Industrial Optimization and AIAI for Industrial Scheduling and PlanningMulti-Objective Optimization using Machine LearningAI-Enhanced Process Control SystemsEnergy Efficiency Optimization in Manufacturing using AIAI-Enabled Simulation and Modeling for Industrial Systems3. AI for Quality Control and Safety in IndustryMachine Learning in Industrial Quality ControlAI for Predicting Failures and Defects in Production LinesSafety Monitoring and Hazard Prevention in Industrial 4. Artificial Intelligence in Industrial Supply ChainsAI and Blockchain Integration for Industrial Supply ChainsSupply Chain Management with Deep Learning TechniquesAI in Logistics and Transportation NetworksData Analytics for Improving Inventory Management in IndustryAI for Risk Management and Resilience in Supply Chains5. Smart Manufacturing and IoTIoT and AI Integration for Real-Time Industrial MonitoringAI in Predictive Maintenance using IoT SensorsDigital Twin Technology for Industrial ApplicationsAI-Driven Decision Support Systems in Industrial Operations6. Industrial Robotics and Autonomous SystemsAI and Machine Learning in Industrial RoboticsAutonomous Mobile Robots in ManufacturingHuman-Robot Collaboration in Industrial EnvironmentsAI for Vision-Based Robotic Systems in Production Lines7. AI in Industrial Process AutomationDeep Learning for Process Automation in IndustryIntelligent Automation Systems in Industrial EnvironmentsAI-Driven Adaptive Control Systems for Industrial ProcessesEdge AI for Real-Time Process Control and Decision Making8. AI-Enabled Sustainability in Industrial SystemsAI for Sustainable Manufacturing PracticesMachine Learning for Energy Consumption OptimizationSmart Waste Management and Recycling Systems using AIAI Solutions for Reducing Carbon Footprint in Industrial Operations9. AI for Data-Driven Industrial Decision MakingPredictive Analytics for Industrial Process ImprovementAI in Industrial Big Data AnalyticsDecision Support Systems using AI in Industrial OperationsMachine Learning for Process Optimization in Real-Time Manufacturing10. AI in Industrial Human-Machine InteractionHuman-Centered AI Design for Industrial ApplicationsAI for Improving Human Performance in Industrial SystemsCognitive Computing and Human Factors in Industrial AIAI and Virtual Reality for Industrial Training and Simulation11. AI and Industrial CybersecurityAI for Threat Detection and Prevention in Industrial NetworksIndustrial Cybersecurity with Machine LearningAI-Driven Risk Management for Industrial IoTAutonomous Systems for Securing Critical Infrastructure in Industry12. AI in Smart Energy and Industrial SystemsAI for Smart Grid and Industrial Energy ManagementAI in Energy Optimization for Industrial FacilitiesMachine Learning for Predicting Energy Demand in Industrial SystemsAI-Driven Energy Efficiency in Industrial Operations

The 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026)Fukuoka, Japanhttps://www.ic4e.net/index.htmlWelcome to the 17th IC4e 20262026 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e) will be held at Kyushu University Fukuoka, Japan during April 1-4, 2026.Conference Theme: "Innovating E-Systems for a Smarter Future"E-education, e-business, e-management, and e-learning are vital pillars of the digital society's development. With the deep integration of cloud computing, artificial intelligence, and big data technologies, these fields are undergoing rapid transformation. E-education breaks traditional educational boundaries of time and space, e-business accelerates the digitalization of global trade, e-management enhances the efficiency of public services and business operations, and e-learning optimizes knowledge dissemination and learning experiences. These domains have become central drivers of technological innovation and sustainable socio-economic development.The 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e 2026) will be held in Fukuoka, Japan during April 1-4, 2026, sponsored by IEEE, and co-sponsored by Rajamangala University of Technology Tawan-ok, Thailand with patrons from Purdue University Northwest, USA, De La Salle University-Manila, Philippines, China West Normal University, China, Bulacan State University, Philippines, and Prince Sultan University, Saudi Arabia.Call for Papers The 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026), with the theme "Innovating E-Systems for a Smarter Future," serves as the premier forum for presenting new advances and research results in the fields of theoretical, experimental, and applied E-Education, E-Business, E-Management, and E-Learning. This conference will bring together leading researchers, engineers, and scientists worldwide to share their latest research, insights, and developments in these domains. Topics of interest for submission include, but are not limited to:e-Education:Innovative e-learning technologies and platformsSystems, Design and TechnologiesPractices and cases in e-educationSystems and technologies in e-educationApplications and integration of e-educatione-learning evaluation and contentCampus information systemse-learning technologies, standards and systemsMobile learningComputer aided assessmentsKnowledge managementVirtual learning environmentsMultimedia in e-learningMarketing and promoting e-learningSocial benefits of e-learningOrganization learningTechnology adoption and diffusion of e-learninge-Business:Mobile and pervasive commerceElectronic Markets and Multiagent SystemsDigital goods and productsB2B, B2C, and C2C modelsAgent-mediated e-Commercee-Marketplaces, e-Hubs, and portalsPervasive technologies for eCommerceDynamic pricing modelsP2P-computing for e-Commercee-Payment systemse-Commerce content managementConsumer protection in eCommerceUser behavior modelingInnovative business modelsEnterprise application integrationBusiness process re-engineeringVirtual enterprises and virtual marketsVirtual organizations and coalitionsMobile businesse-Learning:Systems, Design and Technologiese-Learning platformsCourse designEmerging and best practicesPartnerships in e-LearningEvaluation of e-Learninge-Learning strategiesSocial benefits of e-Learninge-Learning effectiveness and outcomesWeb-based learningSecurity and confidentialitySelf-learning integrated methodologyAmbient intelligenceAssertive and assistive educational technologyComputer-aided assessmentLearning content management systemsAV-communication and other mediaDigital classroomsBlended learningCollaborative on-line learninge-Management:Leadership in the digital eraKnowledge management systemse-Audite-Control and Risk Managemente-Planninge-Organisinge-Supervisione-Politicse-Communicatione-RecruitmentSystems, Design and TechnologiesKnowledge ManagementTechnology Adoption and Diffusion of eManagemente-Management Strategiese-Management Effectiveness and OutcomesSocial Benefits of e-ManagementCurrent Trends in e-ManagementThreats in e-Management

2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE)Wuhan, China | April 17-19, 2026Link: https://cste.net/index.htmlSubmission Deadline: December 30, 2025Notification Deadline: January 30, 2026Registration Deadline: February 15, 2026Conference Venue: Central China Normal University (Nanhu Campus), Wuhan, Hubei, China2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE) will be held in Wuhan, China during April 17-19, 2026. CSTE 2026 is co-sponsored by Central China Normal University, China and IEEE, hosted by Faculty of Artificial Intelligence in Education, Central China Normal University, China.At CSTE 2026, participants will have the opportunity to engage with leading experts in education technology, and to gain insights into the latest research and best practices in the field. The conference will also provide a platform for networking and collaboration, enabling participants to build valuable connections with colleagues from around the world.Please visit our website for more information on the conference, including important dates, submission guidelines, and registration details. If you have any questions or concerns, please do not hesitate to contact us. We hope to see you in Wuhan in 2026!Submitted papers will be peer reviewed by program committees and technical committee, and accepted papers will be published into conference proceedings by IEEE after registration and presentation. The proceedings will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex & Scopus.Selected papers will be published into Lecture Notes in Educational Technology(Electronic ISSN: 2196-4971 & Print ISSN: 2196-4963) as a proceedings book volume, which has been accepted by Springer. Final publication will be subject to the manuscript review by Springer. Those papers will be sent to indexing databases like: Scopus, ACM Digital Library, ERIC, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago. Call for PapersTrack 1: Educational Technologies and Systems▪ E-learning platforms and tools▪ Computer-supported collaborative learning▪ Mobile and ubiquitous learning▪ Gamification and game-based learning▪ Virtual and augmented reality in education▪ Adaptive learning systems▪ Educational robotics and automation▪ Emerging technologies in education▪ Cloud computing in education▪ Immersive learning environments▪ Wearable technology in educationTrack 2: Computer-supported Collaborative Learning and Social Computing▪ Collaborative learning theories and models▪ Social computing and learning▪ Online communities and networks in education▪ Social media in education▪ Collaborative technologies in education▪ Computer-supported argumentation and debateTrack 3: Artificial Intelligence in Education▪ Intelligent tutoring systems▪ Natural language processing in education▪ Knowledge representation and reasoning in education▪ Intelligent educational systems and applications▪ Smart learning environments▪ Cognitive modelling and educational implicationsTrack 4: STEM Education and Computational Thinking▪ STEM education and pedagogy▪ Computational thinking and coding education▪ Robotics and automation in STEM education▪ Computational modeling and simulation in education▪ Educational applications of Internet of Things▪ Digital fabrication and maker educationTrack 5: Educational Data Mining and Learning Analytics▪ Data-driven approaches to education▪ Learning analytics and visualization▪ Educational data mining and machine learning▪ Big data in education▪ Personalized learning▪ Educational decision making▪ Assessment and evaluation in e-learningTrack 6: Digital Technologies for Human Development▪ Digital technologies for social-emotional learning▪ Digital technologies for psychological wellbeing▪ Digital technologies for self-management and regulation▪ Digital technologies for teacher development▪ Digital technologies for labor/moral/character education▪ Sustainable development in a digital world▪ Innovative solutions to address educational inequityTrack 7: Inclusive EdTech: Diversity, Equity, and Innovative Pedagogies▪ AI-enhanced pedagogy for diverse learners▪ Learning analytics-driven differentiation▪ Accessible immersive learning pedagogies▪ Culturally responsive edtech solutions▪ Equity-focused digital assessments▪ Micro-credentialing for diverse learners▪ Smart pedagogy training for educators▪ Multilingual learning support in EdTech▪ Inclusive gamification frameworks▪ Student-centered digital pedagogy▪ AI-augmented project-based learning▪ Hybrid flipped classroom models▪ UDL-based digital resource design

26th International Conference on Computational Science29 June - 1 July 2026 • DESY • Hamburg • GermanyLink: https://www.iccs-meeting.org/iccs2026/The International Conference on Computational Science is an annual conference that brings together researchers and scientists from mathematics and computer science as basic computing disciplines, as well as from other various application areas, who are pioneering computational methods in sciences such as physics, chemistry, life sciences, and engineering, as well as in arts and humanitarian fields, to discuss problems and solutions in the area, identify new issues, and shape future directions for research.ICCS 2026 in Hamburg, Germany will be the twenty-sixth edition in this series of highly successful conferences.Authors are invited to submit manuscripts reporting original, unpublished research and recent developments in Computational Sciences. All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers.ICCS 2026 invites original contributions on all topics related to Computational Science, including, but not limited to:Scientific ComputingProblem Solving EnvironmentsAdvanced Numerical AlgorithmsMixed-precision Modelling AlgorithmsNew Algorithmic Approaches to Computational Kernels and ApplicationsWeb- and Grid-based Simulation and ComputingParallel and Distributed ComputingAdvanced Computing Architectures and New Programming ModelsExtreme-Scale Data Management and I/O in Computational Science ApplicationsComplex Systems: Modeling and SimulationComplex Networks Models and High Performance simulationsSystem Dynamics ModelsArtificial Intelligence in Scientific ComputingModelling Approaches using Unconventional ComputingMassive Agent Based modelsUncertainty QuantificationApproaches for Automated Simulation DevelopmentHybrid Computational MethodsApplications of Computation as a Scientific ParadigmVisualization and Virtual Reality as Applied to Computational ScienceComputational PhysicsLarge Scale Scientific InstrumentsQuantum ComputingMedical and Biomedical Computational ScienceComputational HumanitiesComputational SociologyComputational Models of Cognition and BehaviorStrategic Behavior Modeling and Market DesignEducation in Computational ScienceAs the conference theme this year is “At the Forefront of Science through Computation and Data”, papers highlighting the role of Computational Science in assisting multidisciplinary research will be particularly welcome.Important DatesWorkshop proposals: 9 January 2026Paper submission: 23 January 2026Notification to authors: 23 March 2026Camera-ready papers: 10 April 2026Author registration: 23 March – 10 April 2026Non-author registration (in-person only): 23 March – 1 June 2026Conference sessions: 29 June – 1 July 2026

AI Basics for ProductivitySingapore University of Technology and Design Link: https://www.sutd.edu.sg/course/ai-basics-for-productivity/course-fees-and-funding/Course dates: 1) 19 – 20 January 2026 2) 26 – 27 February 2026Course Fees and Funding Who should attendAdult learners with some computer knowledge and a keen interest in artificial intelligence. Industry leaders, managers and executives who are curious about the benefits of Generative AI chatbot for businesses and want to learn how GPT technology can help advance their careers and businesses.Programme OutlineLearning Objectives and StructureBy the end of this course, learners are expected to have a solid foundation in AI, an understanding of its applications, and the ability to utilize AI tools effectively in a business context. They will also gain experience in project management and event organization, further enhancing their skill set.Day 1Overview of AITypes of AI and ApplicationsIntroduction to GenAI and CopilotProject BriefingDemo / Practice Session on CopilotProject PlanningProject Discussion/ExecutionReview of Session 1Day 2Introduction to AI TechnologiesSharing of Case StudiesUnderstanding limitations of AI / Societal and Ethical IssuesOnline QuizTeam Project PresentationThe future of workAssessmentAssessmentIn-class Online QuizTeam Project

SN Computer SciencePublication type: Journals (Q2)ISSN: 26618907, 2662995XH-Index: 49Publication Fee: £2290.00 GBP / $3190.00 USD / €2590.00 EUR.Link: https://www.scimagojr.com/journalsearch.php?q=21101083109&tip=sid&clean=0SPRINGER NATURE Link: https://link.springer.com/journal/42979?IFASN Computer Science is a broad-based, hybrid, peer reviewed journal that publishes original research in all the disciplines of computer science including various inter-disciplinary aspects. The journal aims to be a global forum of, for, and by the community and offers:Rapid peer review under the expert guidance of a global Editorial BoardNo color or page charges and free submissionHigh visibilityOpportunities to Societies/Conferences/Institutes/Laboratories/Corporates to ‘partner’ with the Journal and enjoy the benefit of planning and publishing issues in hot areas of research, without being under the pressure of publishing a full-fledge journalSN Computer Science welcomes submissions from a wide range of topics including, but not limited to:Artificial IntelligenceRoboticsMachine learningComputer VisionPattern RecognitionImage ProcessingComputer GraphicsHuman-Computer InterfaceDocument and Handwriting ProcessingVideo TechnologiesBiometrics and Computer ForensicsSoft ComputingBrain ComputingQuantum ComputingInformation RetrievalInternet Computing and Data MiningTheoretical Computer Science: Logic, Algorithms, and ComplexityAutomated Proofs and Formal VerificationComputational GeometryInformation TheorySpeech and Signal ProcessingAlgorithms and Data StructuresProgramming LanguagesSoftware EngineeringComputer ArchitectureComputer and Communication NetworksComputer and Network PerformanceModeling and SimulationEnergy Consumption and Harvesting Computers & NetworksGreen ICTComputer and Network Security/PrivacyCryptographyHigh Performance ComputingParallel Computing and ArchitectureDistributed and Cloud ComputingSocial NetworksDatabase Systems and TheoryComputers and Networks in Supply Chains and ManufacturingComputers and Networks for Health SystemsComputational Biology and BioinformaticsCyber-Physical SystemsInternet of Things (IoT)Mathematical Programming and Combinatorial OptimizationEconomics and ComputationSN Computer Science publishes papers in the following categories: Original Research, as well as relevant hardware, and/or software architectures, Survey and Review Articles. All papers are evaluated on the basis of scientific content. Submissions are first screened for research and publication ethics prior to peer review. The journal reviews each submission from a sound science perspective.SN Computer Science is an online-only journal and its print ISSN (2662-995X) is ceased.

AI-NEXTHub of Talents in AI and Innovation Nexthttps://www.ai-next.or.thadmin@ai-next.or.thCore Mission of the Center In a world where skills must keep pace with the changes of the digital labor market, we bring together a network of AI and technology experts to create a continuous, comprehensive, and accessible learning ecosystem.Because we believe that AI is not here to replace people, but to serve as a tool that enhances human potential and opens up opportunities for everyone to grow alongside the new era.Thailand's AI expert network showcases a wide range of specialized fields across sectors. Key areas of expertise include:Artificial Intelligence in Natural Language Processing (NLP)AI in Healthcare and Medical TechnologyGeographic Information Systems (GIS) & MobilityBig Data AnalyticsImage Processing & Computer VisionUrban Computing, UAV (Drones), and Remote SensingAI in Agriculture and Agricultural RoboticsAI for Automotive and Intelligent Transportation SystemsDigital Engineering & Computing SciencesMathematical Modeling & Applied Computing Our Strategic Goals1. Develop AI Curriculum and Human CapitalWe design and deliver AI-related training in collaboration with schools and universities to equip people with digital skills tailored to the Thai context and global demands.2. Drive AI Research and InnovationWe support strategic alignment and integration of national priorities to advance urgent and impactful research across diverse regions and sectors.3. Apply AI in IndustryWe initiate projects that enhance operational efficiency, reduce costs, and foster the adoption of AI-powered automation in industrial applications.4. Advance AI Policy and EthicsWe promote AI regulations aligned with international frameworks such as the EU AI Act, and advocate for the ethical use of AI with sustainability, safety, and transparency in mind.5. Foster International CollaborationWe establish global partnerships and formal agreements (MOUs) to position Thailand as a regional hub for international AI cooperation.6. Support AI Startups and Innovation EcosystemWe expand platforms such as AI-as-a-Service to catalyze startup growth, support AI infrastructure, and strengthen the innovation ecosystem.