News & Activities

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

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

Applied Agentic AI for Organizational TransformationLeverage AI Agents to Elevate Efficiency and Innovate Models https://online.professionalprogramsmit.com/agentic-ai-organizational-transformation-in?utm_source=Google&utm_medium=c&utm_term=ai%20agents%20training&utm_location=9217387&utm_network=g&utm_campaign=B-365D_ww_GG_SE_MPE-DTR_NONBRAND_IS_APAC&utm_content=Core_Brand&gad_source=1&gad_campaignid=23096971436&gbraid=0AAAAAC-ids1T1E9s9wbLVoHiq6HbY6WRm&gclid=Cj0KCQjwj47OBhCmARIsAF5wUEHeGlwsOUEp8_wMz3V740FwRK7QKT69GZf2NV8g7m4m4PLgV72OXKYaAg4eEALw_wcBStart: May 12, 2026Duration: 8 weeks, onlinePRICE: US$2,720What you will learn?Understand the foundations of Generative and Agentic AI - how they work, how they differ, and how they apply to real organizational functions.Design AI-integrated strategies using cloud infrastructure, APIs, and enterprise platforms to deliver real-world impact.Build practical skills through hands-on mini-projects, including text, image, audio, coding and video with no prior coding knowledge required.Address the risks and responsibilities of AI, from deepfakes and misinformation to legal compliance and ethical governance.

2026 the 8th International Conference on Environment, Resources and Energy Engineering (EREE 2026)EREE 2026 | October 5-7, 2026 | Singaporehttps://www.eree.orgImportant Dates:Submission Date: 20th May, 2026Notification Date: 20th June, 2026Registration Deadline: 10th July, 20262026 the 8th International Conference on Environment, Resources and Energy Engineering (EREE 2026) will be held on October 5-7, 2026 in Singapore. With increasingly serious environmental pollution, developing an economic, simple and efficient technology of Resources, Environmental & Energy Engineering has now become a hot topic. EREE 2026 is an optimal platform for academic communications, exchange of ideas and inspirations between specialists and scholars in the fields of Environment, Resources and Energy Engineering, including hot issues such as solar energy, natural environment and renewable resources. The event will encourage the exploration of the potential synergies that may arise from pooling the different perspectives.Call for Papers:Topics of interest for submission include, but are not limited to: Environmental Science- Climate Change and Global Warming- Environmental Nanotechnology and Materials- Ecosystem Management and Ecological Engineering- Biodiversity and Climate Feedbacks- Wetlands and Watershed Management- Emerging Contaminants (e.g., microplastics, PFAS)- Carbon Capture, Utilization and Storage (CCUS)- Circular Economy and Resource Management- Environmental Data Science and AI Energy & Resources- Renewable Energy (Wind, Solar, Biomass, Geothermal)- Energy Efficiency and Conservation- Energy Storage Technologies- Smart Grids and Microgrids- Hydrogen and Alternative Fuels- Life Cycle Assessment (LCA)- Energy Transition and Policy- Sustainable and Resilient Energy Systems Sustainable Systems- Sustainable Cities and Communities- Green Building and Sustainable Infrastructure- Climate Adaptation and Resilience- Environmental, Social, and Governance (ESG)- Sustainable Transportation- Just Transition and Energy Equity

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

2026 8th International Conference on Big Data Management https://www.icbdm.org/index.htmlWelcome to ICBDM 2026! 2026 8th International Conference on Big Data Management (ICBDM 2026) will be held in Derby, UK during June 24-26, 2026! It's hosted by University of Derby. The theme of this year is "Data Management in Statistics and Data Science".The conference aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of big data management. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of big data management.Important DatesSubmission Deadline: April 5, 2026Acceptance Notification: May 5, 2026Registration Deadline: May 20, 2026Camera-Ready Version: May 20, 2026Early Bird Registration End: May 20, 2026JournalA few selected papers with extended version will be published in theJournal of Advanced Management ScienceISSN: 2810-9740 Frequency: SemiannuallyDOI: 10.18178/joamsAbstracting/ Indexing: CNKI, Google Scholar, CrossrefTemplate: JOAMS TemplateCall for PapersTopics of interest for submission include, but are not limited to:Track 1: Big Data Analysis and ManagementData Acquisition, Integration, Cleaning, and Best PracticesBig Data Search Architectures, Scalability and EfficiencyCloud/Grid/Stream Data Mining- Big Velocity DataSemantic-based Data Mining and Data Pre-processingBig Data as a ServiceData Lifecycle Management: From Collection to ArchivingData Governance Frameworks and Best PracticesData Management Standards (e.g., FAIR principles: Findable, Accessible, Interoperable, Reusable)Ethical Considerations in Data ManagementAlgorithms and Systems for Big Data SearchVisualization Analytics for Big DataChallenges in Managing Large-scale DatasetsBig Data Processing Frameworks (e.g., Apache Spark, Apache Flink)Scalable Storage Solutions for Big DataMobility and Big DataMethods for Data Collection: Surveys, Experiments, Sensors, Web ScrapingData Integration Techniques: ETL (Extract, Transform, Load) ProcessesSearch and Mining of Variety of Data including Scientific and Engineering, Social, Sensor/IoT/IoE, and Multimedia DataTrack 2: Data Structures and Data ModelsMultimedia and Multi-structured Data- Big Variety DataComputational Modeling and Data IntegrationRelational Databases (e.g., SQL) vs. NoSQL Databases (e.g., MongoDB, Cassandra)Data Warehousing and Data Lake ArchitecturesCloud-based Data Storage Solutions (e.g., AWS S3, Google BigQuery)Distributed Storage Systems for Big Data (e.g., Hadoop HDFS)Data Quality Metrics: Accuracy, Completeness, Consistency, and TimelinessTechniques for Data Cleaning and PreprocessingHandling Missing Data: Imputation Methods and StrategiesOutlier Detection and Treatment in DatasetsReal-Time Data Collection and Streaming Data ManagementImportance of Metadata in Data ManagementMetadata Standards and Schemas (E.G., Dublin Core, Schema.Org)Tools for Metadata Extraction and ManagementRole of Metadata in Data Discovery and ReuseVisualization of High-Dimensional DataManaging Unstructured Data (E.G., Text, Images, Videos)Data Silos and Interoperability IssuesTrack 3: Big Data Security and PrivacyVisualizing Large Scale Security DataThreat Detection using Big Data AnalyticsPrivacy Threats of Big DataPrivacy Preserving Big Data Collection/AnalyticsHCI Challenges for Big Data Security & PrivacySociological Aspects of Big Data PrivacyTrust Management in IoT and Other Big Data SystemsData Encryption and Anonymization TechniquesRole-based Access Control (RBAC) and Data PermissionsCompliance with Data Protection Regulations (e.g., GDPR, CCPA)Secure Data Sharing and Transfer ProtocolsVisualizing Large Scale Security DataBalancing Data Accessibility with SecurityTrust Management in IoT and Other Big Data SystemsHCI Challenges for Big Data Security & PrivacyTrack 4: Big Data Analysis Tools and Key TechnologiesHealthcare: Managing Electronic Health Records (EHR) and Patient DataFinance: Data Management for Fraud Detection and Risk AnalysisEnvironmental Science: Managing Climate and Satellite DataSocial Sciences: Handling Survey and Census DataE-Commerce: Customer Data Management and PersonalizationComplex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, TelecommunicationBig Data Analytics in Small Business Enterprises (SMEs)Big Data Analytics in Government, Public Sector and Society in GeneralReal-Life Case Studies of Value Creation through Big Data AnalyticsExperiences with Big Data Project DeploymentsBig Data as a ServiceBig Data Industry StandardsTrack 5: Application of Big Data in Information SystemsTools and Techniques for Exploratory Data Analysis (EDA)Interactive Dashboards for Data Exploration (E.G., Tableau, Power BI)Open-Source Data Management Tools (E.G., Apache Nifi, Talend)Data Management Platforms (E.G., Snowflake, Databricks)Cloud-Native Data Management SolutionsAutomation Tools for Data Pipelines (E.G., Airflow, Prefect)Data Pipelines for Machine Learning WorkflowsFeature Engineering and Dataset PreparationManaging Labeled and Unlabeled Data for Supervised and Unsupervised LearningData Versioning and Reproducibility in ML ExperimentsData Management for AI and Deep LearningBlockchain for Secure and Decentralized Data ManagementFederated Learning and Privacy-Preserving Data ManagementQuantum Computing and Its Impact on Data Management

HARMONIZED NATIONAL R&D AGENDA 2022-2028 (Philippines)https://www.dost.gov.ph/phocadownload/Downloads/Resources/Quick_Links/HNRDA_2022-2028.pdfThe Harmonized National Research and Development Agenda (HNRDA) 2022–2028 presents the Philippines’ national research priorities and strategic directions for science, technology, and innovation. The document outlines key thematic areas covering economic development, human well-being, environmental sustainability, and emerging technologies. It defines priority sectors, cross-cutting research areas, and implementation mechanisms to align research efforts with national development goals. The agenda serves as a guiding framework for government agencies, academia, and industry in planning and coordinating research initiatives from 2022 to 2028.Harmonized National Research and Development Agenda (HNRDA) 2022–2028Condensed Table of ContentsOverview and Strategic ContextVision, Objectives, and Guiding PrinciplesNational R&D Priority AreasEconomic and Industrial DevelopmentHuman Health and Social Well-beingAgriculture, Food Security, and Natural ResourcesEnvironment, Climate Change, and Disaster Risk ReductionEnergy, Water, and Sustainable InfrastructureEmerging Technologies and Basic ResearchCross-Cutting Research ThemesImplementation, Coordination, and GovernanceMonitoring, Evaluation, and Review Framework

The Japanese Government Scholarship (Monbukagakusho: MEXT)https://www.th.emb-japan.go.jp/files/000521283.pdfhttps://www.th.emb-japan.go.jp/itpr_th/jis_study.htmlThe Japanese Government Scholarship (Monbukagakusho: MEXT) is a fully funded program that enables Thai students and professionals to pursue study and training in Japan. The scholarship covers various levels of education, including undergraduate studies, research (master’s and doctoral), Japanese language and cultural studies, teacher training, technical college, and professional training. It also includes the Young Leaders’ Program (YLP) for mid-career professionals in fields like public administration, business, law, and local governance. Prospective applicants must be Thai nationals and meet specific age, academic, and experience requirements depending on the scholarship category.Application cycles typically open once a year, with document submission in the spring (often April–May), followed by written exams and interviews conducted by the Japanese Embassy or consulate in Thailand. Successful candidates are nominated by the Embassy to the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT). Scholarship benefits generally include tuition support, monthly living stipends, travel expenses, and Japan arrival allowances.MEXT Scholarship Application Timeline (Thailand)AprilThe application period opens. Applicants must submit all required documents within this period.Each applicant may apply for only one scholarship category per year.Embassy of Japan in ThailandJune – JulyWritten examinations and/or interviews are conducted for shortlisted applicants.Examinations are held in several locations, such as Bangkok, Chiang Mai, Khon Kaen, and Songkhla.Embassy of Japan in ThailandAugustThe Embassy contacts Japanese universities and nominates successful candidates to MEXT for further consideration.Embassy of Japan in ThailandJanuaryFinal selection results are officially announced.Embassy of Japan in ThailandApril / OctoberSuccessful applicants depart for Japan to begin their studies, depending on the scholarship category and program start date.

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.

The 10th International Conference on Deep Learning TechnologiesJuly 17-19, 2026, Kunming, Chinahttps://www.icdlt.orgSubmission Deadline: March 1, 2026Notification of Acceptance: April 1, 2026Camera Ready Deadline: April 15, 2026Registration Deadline: April 15, 2026Conference Dates: July 17-19, 2026You are invited to attend 2026 10th International Conference on Deep Learning Technologies will be held during July 17-19, 2026 in Kunming, China. It's sponsored by Kunming University of Science and Technology, China, organized by the Faculty of Information Engineering and Automation of Kunming University of Science and Technology. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome. Please refer to the different submission categories under "Call for Papers" above for further details.Track 1: Deep Learning Model and AlgorithmRecurrent Neural Network (RNN) Sparse Coding Neuro-Fuzzy Algorithms Evolutionary Methods Convolutional Neural Networks (CNN) Deep Hierarchical Networks (DHN) Dimensionality Reduction Unsupervised Feature Learning Deep Boltzmann Machines Generative Adversarial Networks (GAN) Autoencoders Deep Belief Networks Meta-Learning and Deep Networks Deep Metric Learning Methods MAP Inference in Deep Networks Deep Reinforcement Learning Learning Deep Generative Models Deep Kernel Learning Graph Representation Learning Gaussian Processes for Machine Learning Clustering, Classification and Regression Classification ExplainabilityTrack 2: Machine Learning Theory and TechnologyNovel machine and deep learningActive learningIncremental learning and online learningAgent-based learningManifold learningMulti-task learningBayesian networks and applicationsCase-based reasoning methodsStatistical models and learningComputational learningEvolutionary algorithms and learningFuzzy logic-based learningGenetic optimizationClustering, classification and regressionNeural network models and learningParallel and distributed learningReinforcement learningSupervised, semi-supervised and unsupervised learningTensor Learning Deep and Machine Learning for Big Data Analytics:Deep/Machine learning based theoretical and computational modelsMachine learning (e.g., deep, reinforcement, statistical relational, transfer)Model-based reasoningTrack 3: Deep and Machine Learning ApplicationsDeep Learning for Computing and Network PlatformsRecommender systemsDeep Learning for Social media and networksDeep Learning in Computer VisionDeep learning in speech recognitionDeep Learning in Nature Language Processing,Deep Learning in Machine TranslationDeep learning in bioinformaticsDeep Learning in Medical Image AnalysisDeep Learning in Climate ScienceDeep Learning in Board Game ProgramsDeep and Machine Learning for Data Mining and KnowledgeTrack 4: Responsible AI, Security, and GovernanceAI safetyPrivacy preservationAlgorithmic FairnessFairness and ethicsClassification Explainability and Explainable AI (XAI)AI EthicsAI governanceGreen Deep LearningSynthetic Data GenerationSocial and Economic Impact of AISustainable AIAI Risk AssessmentThe accepted paper will be included into ICDLT 2026 Conference ProceedingsPUBLICATION HISTORYICDLT 2025 Proceedings - 979-8-4007-1852-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2024 Proceedings - 979-8-4007-1686-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2023 Proceedings - 979-8-4007-0752-0 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2017 Proceedings - 978-1-4503-5232-1 | ACM Digital Library | Ei & SCOPUS Index

External events, opportunities, and trade missions UK Government UK-ASEAN AI Innovation Summit; 6-8 October (KL, Malaysia) The UK-ASEAN AI Innovation Summit is a strategic platform for advancing shared priorities between the UK and ASEAN Member States. It builds upon previous engagements such as the UK-MY AI Conference 2023, UK AI Week in Thailand, and the AI for Sustainable Development in ASEAN (AISDA). The Summit is also aligned with the forthcoming ASEAN Digital Economy Framework Agreement (DEFA) and the UK’s AI Opportunities Action Plan (2024). There will be keynote presentations, panel discussions, workshops for the Summit covering the following themes: Sustainable and secure AI infrastructure and cross-border compute access, Trusted data-sharing partnerships to support inclusive innovation, AI talent development and skills exchange, including pathways for women and non-traditional learners, Pro-innovation regulation and responsible AI governance, Public sector adoption and business innovation partnerships. If you would like to attend, please email Poorani.Krishnan@fcdo.gov.uk

Chief Data and AI Officer Programmehttps://cmu.to/OG1O6 Join usProgramme OverviewNUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.Learning OutcomesEvaluate strategic implications and innovative value generation through proficient data managementAnalyse strategies for capitalising on data monetisationExplore innovation and emerging technologies in the domainExamine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and complianceEmpower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change managementWho is this programme for?Become a data strategist to drive tangible business valueSeasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth. Programme ModulesPillar 1: Data Foundations for Enterprise Value CreationPillar 2: Strategic Levers for Business GrowthPillar 3: Intelligent Technologies and Scalable AIPillar 4: Risk, Resilience and Responsible GovernancePillar 5: Transformational Leadership in the Age of AI

The 23rd Annual Conference and The 16th Youth ConferenceTheme: “Transforming to the Future: Innovation, AI and Regenerative Tourism and Hospitality”Deadline for Abstracts or Full Papers Submission: 6pm, 15 March 2025 (Hong Kong Time)Conference Date: May 27th - 30th, 2025Conference Venue: Chiang Mai, ThailandRead more at https://www.apacchrie2025.org Chiang Mai University, Thailand, warmly invites you to the APacCHRIE 2025 Youth Conference, held from 27 May to 30 May 2025, in Chiang Mai. This conference provides an excellent platform to connect with hospitality and tourism academics and industryprofessionals, fostering discussions on rapidly evolving industry trends. Under the theme "Transforming to the Future: Innovation, Al, and Regenerative Tourism and Hospitality", welook forward to welcoming all delegates to Chiang Mai, the heart of Thai Lanna culture!CALL FOR PAPERS This conference welcomes academics, professionals, and graduate students from the Asia Pacific and beyond, offering an outstanding platform for presenting and sharing peer-reviewed (double-blind) research. It also fosters rich exchanges between academic communities and industry practitioners on abroad spectrum of topics related to current trends and advancements in tourism and hospitality.We welcome abstracts and/or full papers aligned with the theme, "Transforming to the Future: Innovation, Al, and Regenerative Tourism and Hospitality." Submissions may include, but are not limited to, the following topics within the tourism and hospitality (T&H) sector:List of Topic AreasInnovation issues in Tourism and HospitalityCritical Issues and Cases in Tourism and HospitalityAl for Tourism and Hospitality BusinessEmerging ICT issues in Tourism and HospitalityManagement and Marketing in Tourism and HospitalityEnvironment, Social and Governance (ESG) inTourism Logistics Tourism and HospitalityTourist Experiences and Changing in Tourist BehaviorsRegenerative TourismService Designs in Tourism and HospitalityTourism Planning, Development and Sustainability• Tourism ImpactsSpecial Interest Tourism (SIT)New Trends in Tourism and HospitalityCreativity and Culture in Tourism and Hospitality • Other Topics Related to Tourism and Hospitalit

Programme OverviewPROGRAMME FEE: US$5,000STARTS ON: 31 March 2025DURATION: 20 weeks (4 - 6 Hours/ week)This new year, invest in a learning journey to upskill and gain a competitive edge. Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 24 January 2025 using this code: APAC200ALL8364 and get USD200 programme fee benefit. Limited seats to success available. Claim yours now.Application fees: USD60Read more at https://cmu.to/A8Tt0With organisations and consumers being driven by technological innovations, such as Artificial Intelligence, Automation and Data Analytics, organisations are looking for professionals with a deep understanding of these innovations who can foster significant organisational impact. This is the time to boost your career. The NUS School of Computing Technology Leadership and Innovation Programme caters to individuals aspiring to drive strategic transformation in AI, digitalisation and innovation domains. Through the carefully curated modules and capstone project, you develop the requisite mindset and skills to implement impactful strategies using global technological innovations .Programme Modules (Module 1-18)Module 1: Overview of Digital TransformationModule 2: Digital Business ModelsModule 3: Strategy Formulation and Process of Digital TransformationModule 4: Digital Transformation Action PlanModule 5: Role of Data and AnalyticsModule 6: ML-Deep Learning and Neural NetworkModule 7: Robotics and Reinforcement Learning Module 8: Generative AIModule 9: AI and Business ApplicationModule 10: CybersecurityModule 11: Other Technologies: IoT, AR/VRModule 12: Innovation Strategy to Address Digital DisruptionModule 13: System Thinking and Agile MethodologiesModule 14: Implementing Digital InnovationModule 15: Building Team and Digital Culture for TransformationModule 16: Managing Digital Complexities and Change ManagementModule 17: Leading through ESG ChallengeModule 18: Technology and Innovation: Security and Governance

Global Environmental Politics Online ISSN 1536-0091Print ISSN 1526-3800Global Environmental Politics examines relationships between global political forces and environmental change, with particular attention given to the implications of local-global interactions for environmental management, as well as to the implications of environmental change and environmental governance for world politics. Each issue contains several full-length research articles, and may also contain shorter forum articles and/or a research note. The journal seeks to publish on a broad range of issues, from water to waste management to climate change. Topics covered include, but are not limited to, states and non-state actors in environmental governance, multilateral institutions and agreements, innovative governance arrangements, trade, global finance, corporations and markets, environmental (in)security, science and technology, and transnational and grassroots movements. Contributions come from many disciplines, including political science, international relations, sociology, history, human geography, anthropology, public policy, science and technology studies, and environmental ethics, law, and economics.Link: https://direct.mit.edu/glep/pages/abstracting-indexingAbstracting and Indexing InformationGlobal Environmental Politics is abstracted and/or indexed in the following services:Academic SearchAcademic Search Alumni EditionAcademic Search CompleteAcademic Search EliteAcademic Search PremierAcademic Search R & DAdvanced Placement SourceBIOBASEBusiness SourceBusiness Source Alumni EditionBusiness Source CompleteBusiness Source CorporateBusiness Source EliteBusiness Source PremierCNKI, ChinaCurrent AbstractsCurrent Awareness in Biological SciencesCurrent ContentsDietrich's Index PhilosophicusDimensionsEBSCO DiscoveryEconLitEnvironment CompleteEnvironment IndexEnvironmental Sciences and Pollution ManagementEx Libris PrimoGEOBASEGreenFILEIBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen ZeitschriftenliteraturInternational Bibliography of Humanities & Sociological LiteratureInternational Political Science AbstractsLeft Index (Online)LensMicrosoft AcademicOCLC DiscoveryPolitical Science CompletePollution AbstractsProQuest SummonPublic Affairs IndexScopusSocial Sciences Citation IndexTOC PremierUrban Studies Abstracts

Grant and Contract ProcessLink: https://www.usaid.gov/partner-with-us/grant-and-contract-processThe United States Agency for International Development (USAID) is the United States’ government agency that leads international development and humanitarian assistance efforts to partner countries.USAID work together with individuals, communities, and countries globally to improve everyday lives. USAID’s efforts provide humanitarian assistance, reduce poverty, strengthen democratic governance, advance economic opportunities, and help achieve progress beyond programs. Our work benefits people around the world, including those in the United States. USAID’s investments help achieve sustainable development progress, advancing our collective security, health, and prosperity.The U.S. Agency for International Development (USAID) undertakes a wide array of initiatives aimed at fostering global development and humanitarian assistance. Key areas of focus include:Agriculture and Food Security: Enhancing agricultural productivity and ensuring food security to combat hunger and promote economic growth.Anti-Corruption: Implementing measures to prevent corruption, thereby strengthening governance and fostering transparency.Conflict Prevention and Stabilization: Addressing the root causes of conflict and supporting stabilization efforts in fragile regions.Democracy, Human Rights, and Governance: Promoting democratic institutions, protecting human rights, and improving governance structures.Economic Growth and Trade: Facilitating economic development and trade to reduce poverty and enhance prosperity.Education: Expanding access to quality education to empower individuals and communities.Environment, Energy, and Infrastructure: Supporting sustainable environmental practices, energy solutions, and infrastructure development.Gender Equality and Women's Empowerment: Advancing gender equality and empowering women and girls across various sectors.Global Health: Addressing health challenges to improve global health outcomes.Humanitarian Assistance: Providing aid during crises to alleviate human suffering.Innovation, Technology, and Research: Leveraging innovation and technology to drive development solutions.Nutrition: Improving nutritional outcomes to enhance health and development.Water and Sanitation: Ensuring access to clean water and sanitation to promote health and well-being.Through these comprehensive programs, USAID partners with countries and communities worldwide to promote sustainable development and humanitarian assistance.USAID generally follows these steps:Source: https://www.usaid.gov/partner-with-us/grant-and-contract-process