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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

International Journal of Information Technology & Decision MakingISSN (print): 0219-6220 | ISSN (online): 1793-6845 International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era. The journal is peer-reviewed and publishes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics.Call for PapersSpecial Issue onExploring Data Science in IT and Quantitative ManagementSupply Chain Management, Sustainability, and Productivity Efficiency EvaluationsDecision Making in Risk AnalysisOperations Research and Optimization Submission Guidelines https://www.worldscientific.com/page/ijitdm/submission-guidelinesAbstracted & Indexed in(https://www.worldscientific.com/page/ijitdm/abstracted-indexed)ABDC Journal Quality List by Australian Business Deans CouncilAcademic OneFileBaiduBusiness Source Index (Ebsco)CabellCNKI ScholarCnpLINKerCompendexCompuMath Citation Index (CMCI)CrossRefDBLP Computer Science BibliographyDimensionsEbsco Discovery ServiceEbsco Electronic Journal Service (EJS)Ebsco Science & Technology Collection, Computer Science IndexExLibris Primo CentralGoogle ScholarINSPECISI Alerting ServicesJ-GateJournal Citation Reports/Science EditionNaverNSTL - National Science and Technology LibrariesOCLC WorldCat®ProQuest CentralProQuest Computer & Information Systems AbstractsProQuest Technology Collection (Advanced Technologies Database with Aerospace)RePECScience Citation Index Expanded (SCIE)ScopusThe Summon® Service

Natural Hazards ResearchVolume 4, Issue 1, March 2024, Pages 87-96AbstractUnderstanding the spatiotemporal distribution of forest fires and future predictions is very important for management strategies. To identify the present status of forest fires in the Kingdom of Thailand and their risk in the future, ten-year forest fire data were used, and a forest fire hotspot was prepared. A geospatial technique was used in the study to characterize the parameters of forest fires in the country and identify future forest fire risk areas. Most of the forest fires in the country were found to be seasonal. Deciduous forests in higher elevations and on moderate slopes were most vulnerable to forest fire. The level of aridity, soil moisture, temperature, precipitation, vegetation status, and topography influenced the spatiotemporal distribution of forest fires in the country. Greater than 50% of fire risks were observed in 22 administrative divisions, and 17 of the 209 protected areas are also in the high-risk category. The final forest fire hotspot map can be used in policy development and successful management strategies. A better monitoring strategy should be used in the fire hotspot areas as a precautionary measure to minimize the anthropogenic causes of forest fires.Read more at https://www.sciencedirect.com/science/article/pii/S2666592123000847

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)Location: SingaporeClosing date: 24 Jan 2025As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.Key ResponsibilitiesParticipate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.Undertake these responsibilities in the project:Conduct in-depth AI research towards proof-of-concept (POC) prototypes for future-ready display technologies for VR/AR/MRDevelop demonstration applications for the POC prototypeCarry out Risk Assessment, and ensure compliance with Work, safety and health regulations.Coordinate procurement and liaison with vendors/suppliers.Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.Job RequirementsA PhD degree in computer or related programmes and have relevant competence in the areas of VR/AR/MR and AI.Knowledge and experience in optics will be advantageous.Able to build and maintain strong working relationships with people within and external to the university.Self-directed learner who believes in continuous learning and developmentShow strong initiative and take ownership of work.>=3 years of research experience in VR/AR/MR/AI.Hands-on experience of developing POC systems to demonstrate research results.

Environmental HealthLink: https://ehjournal.biomedcentral.com/aboutSubmission guidelines: https://ehjournal.biomedcentral.com/submission-guidelinesAims and scopeEnvironmental Health publishes manuscripts on important aspects of environmental and occupational medicine and related studies in toxicology and epidemiology that elucidate the human health implications of exposures to environmental hazards. Environmental Health articles are published with open access, and the journal operates a single-blind peer-review system.The journal is aimed at scientists and practitioners in all areas of environmental science in which human health and well-being are involved, either directly or indirectly, and with a view to improving the prevention of environmentally-related risks to human health. Environmental Health is a public health journal serving the public health community and scientists working on matters of public health interest and importance pertaining to the environment.Before submitting a manuscript, please see our submission guidelines for author guidance.Indexing servicesAll articles published in Environmental Health are included in:CABICASCitebaseCurrent contentsDOAJEmbaseEmBiologyGlobal HealthMEDLINEOAIsterPAIS InternationalPubMedPubMed CentralScience Citation Index ExpandedScopusSOCOLARZetocThe full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by BioMed Central on SpringerLink.Why publish your article in Environmental Health?We are a well-established and highly influential open access journal publishing high quality research in all aspects of environmental and occupational medicine.We are a highly accessed resource for scientists and practitioners working in environmental and occupational medicine. With more than one million direct article downloads per year, We are ranked in Q1 in the SCIE 2022 Journal Citation Reports for both the Public, Environmental and Occupational Sciences and Environmental Sciences categories.Supported by our highly-respected Editorial Board, we are committed to open research and transparency, encouraging preprint deposition, and operating a single-blind peer-review system.Open access publication ensures that your article can be easily discovered, accessed, used, and shared, maximising your impact and acting as a springboard for further discovery.