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International Conference on Artificial Intelligence and Mathematics (ICAIM - 25)15th - 16th September 2025 Denver, USA (Hybrid Event)https://www.iirst.com/event/important-dates.php?id=3086069Important Dates: - Early Registration Deadline → 16th August 2025- Paper Submission Deadline → 26th August 2025- Conference Date → 15th - 16th September 2025 Call for Paper- Mathematics and Artificial Intelligence- Applications in Science and Engineering using Mathematical Methods- Applied logics, Algorithms and Complexity- Applying Quantitative, Combinatorial, Logical, Algebraic and Algorithmic Methods to Artificial Intelligence Areas- Artificial Intelligence Theory- Automated Deduction- Computational Geometry- Computational Mathematics- Computer Vision- Decision Support- Knowledge-based Systems- Machine Learning- Reasoning- Robotics and PlanningPublication OpportunityAll accepted abstracts will be published in a conference proceedings e-book with ISBN.All accepted full papers have the opportunity to be published in reputable international journals indexed by various databases, subject to terms and conditions and selection by the Scientific Editorial and Reviewer Committee.All papers will receive international exposure and scientific feedback from scholars around the world during the conference.sAreas of Importance in Journal PublicationSelect the most appropriate journal for your paper based on its aims, scope, and guidelines.Prepare your manuscript to conform to the journal's requirements and guidelines, including language and grammar checks.Ensure the language, flow, and scholarly writing style of the paper are of key importance, and consider adding an international flavor to your submission.Follow academic ethics and avoid plagiarism.Pay attention to the quality of graphics and artwork, and format the reference list according to the preferred referencing style of the journal.Benefits of Journal Publication:Receive guidance and support to prepare your manuscript according to journal requirements.Benefit from comprehensive review comments and opportunities to improve your paper.Enjoy the peace of mind of leaving the submission and publication process to the IIRST team, with its years of experience dealing with leading academic journals.Advance your career through journal publications and support for your undergraduate or postgraduate studies.

PhD Call for Applications SummaryAcademic Year 2025/2026 – 41st CycleDeadline: 6 June 2025Research Field: Professions and applied sciencesRead more at https://euraxess.ec.europa.eu/jobs/funding/phd-2025/26-data-scienceApplicationThe Call for Applications for the 2025/2026 PhD Programs is officially open. Applicants, regardless of their nationality, age and gender are invited to submit their applications. Applicants can find all essential information in the relevant paragraphs of this guide.Further information along with possible modifications to, requirements, submission procedures, available positions and/or scholarships, will be given, before the deadline, through the pages:• https://dottorati.uniroma2.it/corsi-di-dottorato_p10297.aspx• https://dottorati.uniroma2.it/corsi-di-dottorato_p10299.aspx AboutOutlineThe availability of huge volumes of data, basically characterized by the increasingly extensive and pervasive use of digital technologies, leads the ongoing revolution in many areas of social, economic and industrial reality, posing new challenges to the scientific and technological research in Computer Science, Artificial Intelligence and in several other disciplines, from Physics to Economics, from Medicine to Human Sciences. In this context, the accessibility and processing of large amounts of data, both in centralized and distributed systems, their usage in the design and implementation of complex decision-making models, favors the study and development of autonomous systems in different fields (from mission-critical applications to the studies of natural and social phenomena, the prediction of economical dynamics as well as the diagnostics and planning in medicine or in industrial robotics). The PhD in Data Science is aimed, in its markedly interdisciplinary nature, to train, at the highest level, experts able to conduct research to understand and master the mathematical, statistical and computer science methodologies of data analysis and processing as well as the underlying technologies supporting applications in a wide variety of of scientific, industrial, economic, medical and social contexts. The reasons for a new PhD program in Data Science are many and significant. First of all, the offer in Central Italy of a doctoral training on these topics is still quite limited, but at the same time it is confronted with an increasing demand for experts in Data Science. This training should be understood with a characterization focused on mathematical-computer science skills, then a strong scientific-technological vocation, properly integrated on established statistical, economic, social and linguistic principles, thus able to give answers to the dynamics of this area of expertise that is very accelerated and strongly interdisciplinary and culturally heterogeneous. The School of Doctorate represents the indispensable ground for a wide range of students of Computer Science, Computer Engineering, Economics, Physics, Mathematics and not only, at our University of Tor Vergata. Today such students apply and succeed (according to various data sources) at other Schools. These students are attracted by initiatives in Data Science because in them is clear and dominant the role played by the computational knowledge, the strong scientific character of the educational objectives and the diversified potential applications: from Physics to Economics up to Social Sciences. It is interesting to note that many of the courses mentioned here, for example, the Master Degree Courses in Computer Science at the Department of Business Engineering, which have a large number of students, unlike other courses are not decreasing in number of enrolled students. This phenomenon is both cause and effect of the centrality that the themes of culture and digital transformation play in the industrial and social spheres of our country.See PHD IN DATA SCIENCE | TOR VERGATA

A Resilient Workforce, Adapting to Climate Change in Southeast Asia Mega Irena (Head, Labour and Civil Service Division | ASEAN Socio-Cultural Community Department)Felicia Clarissa (Officer, Labour and Civil Service Division | ASEAN Socio-Cultural Community Department)The impact of climate change has escalated globally, with an estimated 2.8 trillion US dollars in global loss and damage from 2000 to 2019, according to a 2023 study cited by the UN Environment Programme (UNEP). Southeast Asia, one of the most vulnerable regions to climate change impacts, has seen a surge in extreme weather events in recent years. This year, four powerful storm systems, including Super Typhoon Man-Yi, battered the Philippines in just ten days. Strong typhoons also recently hit Thailand, Viet Nam, and Myanmar, causing floods and landslides and displacing thousands. In previous years, scorching and dry weather in parts of the region disrupted the livelihoods of affected communities. These climate change-related disasters cause significant death and destruction, impacting workers' incomes, productivity, and livelihoods. The region is foreseen to suffer the most losses in GDP due to the exacerbating effects of climate change on agriculture (UNESCAP, 2023).Read more at https://theaseanmagazine.asean.org/edition/towards-a-mobile-and-connected-asean/

Join ACM - Shape the Future of Computing!Contact ACM Membership Services Email: acmhelp@acm.orgLink: https://dl.acm.org/conferencesACM and ACM Special Interest Groups (SIGs) sponsor more than 170 computing conferences, workshops, and symposia around the world. These events, which range in size from conferences with tens of thousands of attendees to small workshops, mirror the state-of-the-art in their respective fields and attract renowned experts from a broad range of computing disciplines, who submit leading-edge research papers for presentation at the conference and inclusion in the published proceedings. Many of these conferences have earned preeminent status in their respective fields, attracting attendees from around the globe.

41st Conference on Uncertainty in Artificial IntelligenceRio de Janeiro, BrazilJuly 21-25, 2025Link: https://www.auai.org/uai2025/The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).Important DatesNameDatePaper submission deadline (incl. supp. material)February 10th, 2025 (23:59 Anywhere on Earth, AoE)Author response/discussion periodApril 3rd - April 10th, 2025 (23:59 AoE)Author notificationMay 6th, 2025 (23:59 AoE)Camera-ready deadlineJune 6th, 2025 (23:59 AoE) Subject AreasBelow you find a non-exhaustive list of relevant topics for your reference.AlgorithmsApproximate InferenceBayesian MethodsBelief PropagationExact InferenceKernel MethodsMissing Data HandlingMonte Carlo MethodsOptimization - CombinatorialOptimization - ConvexOptimization - DiscreteOptimization - Non-ConvexProbabilistic ProgrammingRandomized AlgorithmsSpectral MethodsVariational MethodsApplicationsCognitive ScienceComputational BiologyComputer VisionCrowdsourcingEarth System ScienceEducationForensic ScienceHealthcareNatural Language ProcessingNeurosciencePlanning and ControlPrivacy and SecurityRoboticsSocial GoodSustainability and Climate ScienceText and Web DataLearningActive LearningAdversarial LearningCausal LearningClassificationClusteringCompressed Sensing and Dictionary LearningDeep LearningDensity EstimationDimensionality ReductionEnsemble LearningFeature SelectionHashing and EncodingMultitask and Transfer LearningOnline and Anytime LearningPolicy Optimization and Policy LearningRankingReinforcement Learning and BanditsRelational LearningRepresentation LearningSemi-Supervised LearningStructure LearningStructured PredictionUnsupervised LearningModelsFoundation ModelsGenerative ModelsGraphical ModelsModels for Relational DataNeural NetworksProbabilistic CircuitsRegression ModelsSpatial, Temporal and Spatio-Temporal ModelsTopic Models and Latent Variable ModelsPrinciplesCausalityComputational and Statistical Trade-OffsExplainabilityFairnessPrivacyReliabilityRobustness(Structured) SparsityRepresentationConstraintsDempster-Shafer(Description) LogicsImprecise ProbabilitiesInfluence DiagramsKnowledge Representation LanguagesTheoryComputational ComplexityControl TheoryDecision TheoryGame TheoryInformation TheoryLearning TheoryProbability TheoryStatistical Theory

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